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

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Speaker 2: the studio ad staff, give you, guys, the best independent.

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Speaker 3: Coverage that is possible.

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Speaker 2: If you like what we're all about, it just means

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Speaker 2: the absolute world to have your support.

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Speaker 3: But enough with that, let's get to the show. Good morning, everybody,

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Speaker 3: Happy Thursday. We have an amazing show for everybody today.

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Speaker 3: What do we have, Crystal?

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Speaker 1: Indeed, we do many interesting topics to get to you

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Speaker 1: this morning. So we did have some primaries this week

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Speaker 1: and some kind of interesting results that we want to

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Speaker 1: go through. Both in terms of the presidential level. Nikki

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Speaker 1: Haley stilly still pulling a fair number of votes even

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Speaker 1: though she's not in the race anymore. We got some

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Speaker 1: interesting polls for Biden. We've got some interesting candidates that

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Speaker 1: are moving on to the general elections. We'll break all

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Speaker 1: of that down for you. We also have some innovative

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Speaker 1: ideas being floated over on Fox News about how Trump

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Speaker 1: may be able to foot that big five hundred million

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Speaker 1: dollar bill that he Owes, so you definitely want to

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Speaker 1: stay tuned for that. The United States is slipping big

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Speaker 1: time in terms of the world happiness rankings, and it

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Speaker 1: is apparently mostly attributable to young people who are not

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Speaker 1: too happy about the direction of the country, their lives,

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Speaker 1: et cetera. So we'll look into what may be going

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Speaker 1: on there. Some big Joe Biden impeachment hearings yesterday illustrating

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Speaker 1: the absolutely farcical nature of our politics all the way around,

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Speaker 1: so we'll show you some of the low lights from there.

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Speaker 1: It was bade one of the most embarrassing moments I've

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Speaker 1: ever seen in politics, to be honest with you, Well,

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Speaker 1: you definitely want to hang in there for that one.

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Speaker 1: We also have the US with regards to Israel, reportedly

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Speaker 1: torn the Biden administration over whether to continue selling weapons

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Speaker 1: to Israel as it is increasingly undeniable that they're being

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Speaker 1: used in illegal ways and increasingly undeniable that they are

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Speaker 1: blocking humanitarian assistance. So we'll take a look at that

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Speaker 1: debate that is playing out. Also, we've got bb floating

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Speaker 1: using that temporary port where building for ethnic cleansing, so

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Speaker 1: that's really great. Playwright Tony Kushner also speaking out backing

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Speaker 1: Jonathan Glazer and also calling out Israel's all out AsSalt

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Speaker 1: on gods and very noteworthy comments there.

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Speaker 3: Yeah, it's going to be interesting.

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Speaker 2: Before we get to any of that, we want to

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Speaker 2: thank everybody who's been signing up as we keep on teasing,

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Speaker 2: and I do promise it's coming very soon. We have

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Speaker 2: a big upgrade coming in our premium service where we

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Speaker 2: really think everybody is going to enjoy it. You're going

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Speaker 2: to want to get in now before we launch everything,

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Speaker 2: so you get a fullsome first picture into what we're doing,

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Speaker 2: and we're going to upgrade everything. We're going to make

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Speaker 2: it a lot better and a lot easier. So go

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Speaker 2: ahead and sign up Breakingpoints dot com. In the meantime,

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Speaker 2: by the way, the emails issue, I believe it's mostly solved.

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Speaker 2: We are working on it and we will remain and

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Speaker 2: keep you guys updated.

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Speaker 3: So thank you to everybody.

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Speaker 2: We're always thinking about you and about delivering the show.

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Speaker 2: So let's go ahead and start, as Chrystal said, with

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Speaker 2: the primary, we have some interesting results out of two

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Speaker 2: very important states for the general election.

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Speaker 3: Let's put it up there on the screen.

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Speaker 2: First from Ohio, I guess a red state, but not

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Speaker 2: that long ago it was a blue state, also considered

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Speaker 2: Trump Country. Kind of the Trumpification of America really embodied

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Speaker 2: in the flip of Ohio from blue to red under

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Speaker 2: his leadership. And though, what do we see, well, a

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Speaker 2: little bit of a warning sign and some of their

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Speaker 2: primary results. So, while Trump did win eight hundred and

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Speaker 2: eighty nine thousand votes and racked up almost seventy nine

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Speaker 2: percent of the vote taking all of the delegates, Nikki

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Speaker 2: Haley still somehow was able to get some fourteen percent

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Speaker 2: of the vote, racking up some sixteen So what you

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Speaker 2: can see is that between Hailey, DeSantis, Christy and Ramaswami,

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Speaker 2: you know, you had some about twenty percent or so

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Speaker 2: people who voted in the GOP primary who decided not

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Speaker 2: to vote for Donald Trump. A friend of ours Ryan

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Speaker 2: Gerdusky flags that this is roughly the same percentage that

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Speaker 2: Trump was pulling in two thousand and sixteen, after all

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Speaker 2: of the other candidates had dropped out in the primaries.

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Speaker 2: The noteworthy thing, though, is that he's already been president,

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Speaker 2: as opposed to the fact that he was a unknown

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Speaker 2: entity last time around. The same results actually in the

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Speaker 2: state of Florida.

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Speaker 3: If we can go ahead and put that up there.

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Speaker 2: What do we see, Well, Donald Trump again roughly same percentage,

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Speaker 2: eighty one percent of the vote, but Nicki Haley fourteen,

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Speaker 2: Ron DeSantis three percent, and if you look overall, you

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Speaker 2: have about nineteen percent or so of people who decided

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Speaker 2: to still come out and to vote against Trump. Some

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Speaker 2: of the cope I've seen on this crystal is that

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Speaker 2: because of mailing votes, some of these people may have

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Speaker 2: sent in their ballots before Nicki Haley had dropped out

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Speaker 2: of the race. That seems plausible, too reasonable to me.

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Speaker 2: That said a twenty percent, that a twenty percent margin,

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Speaker 2: you're still winning overwhelmingly. It just gets to that question,

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Speaker 2: are these people going to come out? Are they going

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Speaker 2: to vote for Trump? In twenty twenty four now twenty

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Speaker 2: sixteen around this was a big question. A lot of

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Speaker 2: those people did end up voting for Trump or they

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Speaker 2: simply became Democrats, and then Trump was able to bring

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Speaker 2: more white collar, white working class voters to come out

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Speaker 2: who'd never voted before to solidify his election this time around.

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Speaker 2: I do feel though, as if some of the Democratic

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Speaker 2: purge of a lot of these white college educated voters

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Speaker 2: already happened So these are people who are still in

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Speaker 2: the Republican Party, and it's a big question as to

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Speaker 2: whether he can keep that coalition together and still bring

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Speaker 2: out some of those non traditional voters that would put

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Speaker 2: him across the finish line in November.

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Speaker 1: I mean, I do think it's a warning sign in

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Speaker 1: the same way that the sizeable uncommitted vote is a

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Speaker 1: warning sign for Joe Biden. Like to the extent that

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Speaker 1: these people hadn't shipped in mail in ballots early back

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Speaker 1: when there was still an ongoing primary fight, while Nikki

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Speaker 1: Haley was still in the race. The fact that you

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Speaker 1: have people who turned up, like went through the trouble

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Speaker 1: to show up on election day and vote for someone

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Speaker 1: other than the guy who is already the presumptive nominee,

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Speaker 1: you have to see that as a form of protest. Now, yeah,

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Speaker 1: the question remains, how many of these people are really

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Speaker 1: even Republicans at this point. How many of these people

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Speaker 1: have already basically shifted to the Democrats in a realignment

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Speaker 1: that has been ongoing since twenty sixteen. I think that's

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Speaker 1: a really open question. I saw some exit polls that

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Speaker 1: suggested that about half of the Nikki Haley voters in

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Speaker 1: these primaries said they're going to vote for Joe Biden.

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Speaker 1: Now those people who voted for Joe Biden last time around,

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Speaker 1: or they'd be able to voted for Donald Trump last

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Speaker 1: time around. It's very difficult to say, but I do

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Speaker 1: think that it is a bit of a warning sign

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Speaker 1: and something to pay attention to. Apparently it's not only

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Speaker 1: Nicky Haley voters, though, who aren't so sure about Donald

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Speaker 1: Trump's campaign. Is Own Life giving a very interesting response

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Speaker 1: that was kind of amusing on the campaign trail when

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Speaker 1: she was asked whether or not she was going to

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Speaker 1: be campaigning for Trump her husband this time around. The

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Speaker 1: stigg list to a is this Trump?

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Speaker 4: Are you going to return to your campaign trail with

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Speaker 4: your husband?

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Speaker 1: Stay tuned, Stay tuned. I'm gonna start using that, to

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Speaker 1: be honestly, someone asked me something that I don't really

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Speaker 1: want to commit.

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Speaker 2: That was her classic when we covered the White House

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Speaker 2: that she was the most impenetrable lady. We couldn't get

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Speaker 2: anything out of her really. Well, yeah, even at the

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Speaker 2: infamous be Best event, which I honestly I will never

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Speaker 2: forget that being in the Rose Garden to watch that kickoff.

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Speaker 2: And I think especially because It had come right after

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Speaker 2: Trump had tweeted something about like Mika Brazinski's facelift God,

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Speaker 2: and so everyone.

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Speaker 3: In the White House Press Corps was like.

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Speaker 2: Missus Trump, like, how do you square you know your

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Speaker 2: anti bullying care with your husband something like that.

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Speaker 3: She was so furious.

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Speaker 2: I'll never forget it. It was one of the craziest

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Speaker 2: moments that I was present for. But anyway, what can

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Speaker 2: we learn from that? In terms of Missus Trump Milania, Well,

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Speaker 2: she does not seem very enthused about getting back on

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Speaker 2: the campaign trail. Reportedly, she did not necessarily want her

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Speaker 2: husband to run again. I mean, look, I was there.

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Speaker 2: She hated being first Lady. I honestly I felt bad

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Speaker 2: for her. She never signed up for this. This is

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Speaker 2: not like many politicis' wives. You know, they're with them

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Speaker 2: for years. To a certain extent, they know what they're

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Speaker 2: getting into. She married him when he was a billionaire playboy.

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Speaker 2: You know, she was there for the New York, Miami

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Speaker 2: Palm beach lifestyle. She's like, I never signed up for

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Speaker 2: all this secret service and all this. She's like, I

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Speaker 2: don't want to do the White House Christmas trees or

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Speaker 2: any of the other traditional first lady, you know, things

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Speaker 2: that she was required to do when she was there.

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Speaker 2: So in a certain way I felt bad for from

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Speaker 2: when we covered her at she did everything in her

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Speaker 2: power not to be at the White House. She didn't

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Speaker 2: want to move to Washington. She barely wanted to bring

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Speaker 2: Baron you know, here. She wanted to stay in a

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Speaker 2: private school. By all accounts, she wanted to stay in

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Speaker 2: New York or she went to Florida as much as

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Speaker 2: she possibly could. So she is not looking forward to

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Speaker 2: being back in the White House if she does need

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Speaker 2: to be. And I'm not talking about politics, I'm saying

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Speaker 2: purely on a person le she hated it.

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Speaker 3: She truly hated me.

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Speaker 1: I don't even know if she would this time around.

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Speaker 3: Even she may not. She may just stay in Florida.

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Speaker 1: I mean, especially like the first time around, you kind

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Speaker 1: of got to keep up appearances because you've got to.

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Speaker 1: You know, he's got a run for re election again,

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Speaker 1: et cetera. This time, you don't know, and baronish eighteen. Yeah,

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Speaker 1: and so he doesn't have to go to school, so

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Speaker 1: she could just Saron's graduated high school. It's an adult now.

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Speaker 1: So yeah, I would not be surprised if she stays

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Speaker 1: in Florida, and if we don't see a whole lot

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Speaker 1: of her on the campaign trail, because she doesn't seem

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Speaker 1: particularly enthusiastic about it, I can't really blame her on

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Speaker 1: that one.

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Speaker 2: Let's go to the next part though, about Biden and

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Speaker 2: about the general election. So there were some interesting signs,

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Speaker 2: and we always want to give the counter cases here

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Speaker 2: because by all accounts, you know, I would say things

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Speaker 2: look as if they're going well for Trump, but there

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Speaker 2: have been some interesting movements in polls lately that we

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Speaker 2: would be remiss not to flag. Let's put this up

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Speaker 2: there please, on the screen. So this is a January

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Speaker 2: to February shift towards March. So in multiple different polling organizations,

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Speaker 2: Emerson had Trump plus one in January February.

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Speaker 3: Now it says Trump plus two.

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Speaker 2: Keep in mind this is registered voters, not likely voters,

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Speaker 2: where there is some interesting analysis about whether that's even correct.

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Speaker 2: Then you have others here Trump plus two to Biden

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Speaker 2: plus two ipsos. You had Biden and Trump tied, now

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Speaker 2: it's Biden plus two. You had KFF Kaiser Family Foundation,

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Speaker 2: Trump plus four, now Biden plus three. Civics, you had

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Speaker 2: them tied Biden plus one, and then Florida Atlantic University

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Speaker 2: it was Trump plus four, now Biden plus two. That

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Speaker 2: last one. Let's keep in mind that's actually likely voters.

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Speaker 2: So that's actually probably the most noteworthy. Now what does

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Speaker 2: this mean. I mean, it could mean anything. Trump is

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Speaker 2: still overwhelmingly leading Biden in the RCP polling average, and

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Speaker 2: I mean that in terms of the average of the

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Speaker 2: last months or so of the polls. These are some

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Speaker 2: more recent and interesting ones. But Chrystal, we have to

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Speaker 2: always remember that per our most recent elections, the polls

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Speaker 2: dramatically underestimated Democratic support. So we have to think that

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Speaker 2: even in these Trump numbers, and perhaps even in some

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Speaker 2: of this movement, that there isn't you know, a non

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Speaker 2: baked in factor of a lot of white collar or sorry,

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Speaker 2: a lot of white collar democratic college educated voters who

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Speaker 2: just come out and vote in numbers that we had

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Speaker 2: not seen previously, that clearly polls were not able to

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Speaker 2: catch up with in the same way that they underpolled

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Speaker 2: these white working class voters from twenty sixteen and in

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Speaker 2: twenty twenty.

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Speaker 1: I mean, if you dig into the polling data for

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Speaker 1: what it's worth, there are some really interesting numbers about

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Speaker 1: registered voters versus likely voters, non voter, people who haven't

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Speaker 1: voted before, but who are saying I am going to

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Speaker 1: vote this time around favor Trump by like twenty three points, right,

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Speaker 1: So there's a huge question mark. First of all, is

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Speaker 1: it accurate, because that's always worth that people say levels

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Speaker 1: given the misses that we've seen.

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Speaker 3: Right.

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Speaker 1: Second of all, Okay, these are people that haven't voted,

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Speaker 1: but are they actually going to vote this time around?

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Speaker 1: Because when you look at the universe of people who

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Speaker 1: have voted before, that universe tends to favor Joe Biden.

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Speaker 1: And that's what you're sort of referencing, is these this

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Speaker 1: group of voters, these like college educated, mostly white voters,

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Speaker 1: they are like the most reliable, especially older, They're the

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Speaker 1: most reliable voters. Like clockwork. They show up every single election.

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Speaker 1: You can really count on them, and they have overwhelmingly

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Speaker 1: shifted into the Democratic parties camp, giving them an edge,

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Speaker 1: especially in things like the special elections that we've been tracking,

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Speaker 1: especially in like the midterms. Now, a presidential election cycle

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Speaker 1: is very different because obviously you're going to have your

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Speaker 1: highest level of turnout there, So who actually shows up?

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Speaker 1: What is the real universe of voters that we're going

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Speaker 1: to be looking at on election day that polsters need

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Speaker 1: to be tracking and you know, seeing what direction they're

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Speaker 1: going in. So that's one piece. The reason why I

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Speaker 1: wanted to highlight some of these numbers is because you know,

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Speaker 1: you have to take any one poll with a grain

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Speaker 1: of salt. This is not so much to look at

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Speaker 1: the absolute overall, you know, towards Biden, but what is

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Speaker 1: the movement over the past month. And if you see

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Speaker 1: a variety of polls that show some positive movement towards Biden,

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Speaker 1: then you have to ask what's going on there, because

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Speaker 1: it's unlikely that all of the polls have the same

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Speaker 1: error in the direction of Biden over that time period.

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Speaker 1: There's a few potential explanations. One is that you know,

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Speaker 1: we've had more Trump legal news and it's reminding people

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Speaker 1: of you know, all of the chaos, the things that

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Speaker 1: they really don't like about Donald Trump. That's one possibility.

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Speaker 1: Another possibility is some of the improvement that we've seen

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Speaker 1: in things like consumer sentiment that takes some time to

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Speaker 1: filter through to the politics, is actually starting to filter

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Speaker 1: through people While or nobody here is saying the economy

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Speaker 1: is amazing I want to say that the sense that

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Speaker 1: there's some improvement may be starting to show up and

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Speaker 1: reflect in Biden poll numbers. That's kind of the most

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Speaker 1: hopeful outcome for him and his team, and I think

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Speaker 1: it's plausible, certainly possible. The other possibility is that he

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Speaker 1: did do himself at least some temporary favors with a

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Speaker 1: not disaster stress state of the Union appearance, and that

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Speaker 1: is helping to shift things in his direction. But you know,

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Speaker 1: all of those things. It could be a combination of

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Speaker 1: those things. It could be a one off fluke, it

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Speaker 1: could be we're looking at a very different situation when

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Speaker 1: all posters move to likely voter models. There's a million

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Speaker 1: question marks around this, but I did think it was

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Speaker 1: enough of a trend to take note that at least

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Speaker 1: over the past couple of months, there has been a

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Speaker 1: little bit of movement towards Joe Bide that his team

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Speaker 1: has to be like, you know, really cheering for and

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Speaker 1: holding on to for all it's worth. At this point,

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Speaker 1: let's go to the next one.

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Speaker 2: This is also about the candidates, because this is going

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Speaker 2: to be a big question actually in some of these candidates.

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Speaker 2: You see the big tests of what the major issues

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Speaker 2: will be so the AP police about Bernie Moreno. As

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Speaker 2: we can see, Bernie Moreno was the Ohio victor of

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Speaker 2: the GOP primary. He will go on to face Shared

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Speaker 2: Brown in the general election. Now, Shared Brown has long

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Speaker 2: been kind of a what canary. I guess he's been

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Speaker 2: very different than a lot of the other National Democratic parties,

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Speaker 2: very pro union, a lot of people who do vote

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Speaker 2: Trump always traditionally at higher approval rating in the state.

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Speaker 2: What I think is going to be the big question

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Speaker 2: mark about Moreno, who Trump backed as opposed to another

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Speaker 2: candidate was endorsed by Ohio Governor Mike Dwine.

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Speaker 3: It's about abortion.

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Speaker 2: Because I was going back and I was looking so

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Speaker 2: Bernie Moreno was still not exactly clear where he stands

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Speaker 2: on abortion. He's made comments in the past it seemed

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Speaker 2: to be he would be okay with a national abortion band.

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Speaker 2: I think he's going to have to clarify that language

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Speaker 2: with no exceptions exactly. Most importantly in terms of Ohio politics,

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Speaker 2: remember Crystal, they had that referendum that came forward.

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Speaker 3: That was one where both Moreno and.

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Speaker 2: The Ohio Republican Party were on the wrong side of

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Speaker 2: that winning issue. So we can see that shared Brown

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Speaker 2: is going to lean heavily into abortion messaging. And I

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Speaker 2: think that Brown himself is already a very strong candidate.

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Speaker 2: This is a man who has you know, stood astride.

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Speaker 2: Like a lot of national trends, he has been very

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Speaker 2: pro union, very pro tariffs, for example on Chinese goods,

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Speaker 2: pro worker in a much more traditional sense of the past.

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Speaker 2: And he was able to set himself apart from the

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Speaker 2: National Democratic Party even on with Biden. You know, he's

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Speaker 2: clashed with him a couple of times on several of

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Speaker 2: these issues, kind of going aside on the issue of neoliberals.

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Speaker 2: So he kind of has that going for I mean,

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Speaker 2: he has a good image I think within the state

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Speaker 2: as I understand it. So then if you add on

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Speaker 2: all of these voters who came out on abortion, I

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Speaker 2: do think that this could be a real test for him,

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Speaker 2: because we can't forget that while Ohio went Trump by

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Speaker 2: some eight points in twenty twenty four, actually increased his

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Speaker 2: vote margin there is that they still did come out

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Speaker 2: for the pro host pro choice side in that latest

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Speaker 2: referendum that happened to the state.

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Speaker 1: You know, I need to go back and look at

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Speaker 1: where Bernie Marino was and what he had to say

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Speaker 1: about that referendum, because that could end up being significant

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Speaker 1: into the context of this race. As you're bringing it up,

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Speaker 1: you know, I just pulled up the polls that have

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Speaker 1: Brown versus Marino head to head. They favor Brown at

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Speaker 1: this point plus four plus six, plus five plus two. Now,

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Speaker 1: these are not overwhelming margins, and none of these polls

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Speaker 1: is Shared Brown over fifty percent, which has to be

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Speaker 1: a concern if you're a Democrat in a state that

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Speaker 1: has increasingly trended towards the right. So I don't think

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Speaker 1: there's any doubt Shared Brown has the fight of his

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Speaker 1: life on his hands. Now, Democrats think they got the

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Speaker 1: candidate they wanted in Bernie Moreno. In fact, Schumer's pack

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Speaker 1: spent I believe millions of dollars.

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Speaker 3: Yes, they did.

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Speaker 1: Backing Bernie Moreno, running these ads that are like, oh,

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Speaker 1: he's too conservative for a he he's too close to Trump,

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Speaker 1: knowing that that could actually boost him in the context

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Speaker 1: of a Republican primary. So they very much thought that

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Speaker 1: he is the most beatable candidate. Is that the case,

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Speaker 1: I genuinely don't know. I mean, the comments on abortion

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Speaker 1: are probably the biggest issue for him. There's also this

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Speaker 1: questionable report that came out just before the primary, like

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Speaker 1: literally the day before the primary. The ape you reported

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Speaker 1: that in two thousand and eight, someone with access to

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Speaker 1: his work email account created a profile on an adult

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Speaker 1: website seeking men for one on one sex. The ap,

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Speaker 1: though couldn't definitively confirm, is created by him himself. His

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Speaker 1: lawyer set a former intern had created the account as

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Speaker 1: a juvenile prank. So there's whatever that is going on.

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Speaker 1: But I agree with you, Zack. I think the bigger

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Speaker 1: issue is his abortion comments and other somewhat extreme comments

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Speaker 1: that he made in the context of trying to win

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Speaker 1: a Republican primary. He's also not a politician, so we've

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Speaker 1: seen the way that you know, he's he's sort of

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Speaker 1: untested in that way. It's also possible Democrats have some

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Speaker 1: additional dirt on him that we haven't learned about yet,

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Speaker 1: and that's why they were so eager to push him

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Speaker 1: forward as the candidate. But in other ways, I do

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Speaker 1: think he's kind of dangerous for them. I mean, he

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Speaker 1: is cut from a similar cloth as Trump in terms

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Speaker 1: of being this like, you know, not that Trump really

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Speaker 1: was self made, but self made businessman image he does

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Speaker 1: have this sort of populist positioning that, especially in a

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Speaker 1: state like Ohio, could work out well. So in any case,

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Speaker 1: Democrats placed a big bet. Two point seven million dollars

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Speaker 1: I just saw was the amount that they spent to

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Speaker 1: elevate this guy. They got the candidate they wanted, Let's

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Speaker 1: see how it works out for them.

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Speaker 2: It was funny for me to watch because this is

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Speaker 2: a time when you have Jay Vance and Trump on

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Speaker 2: the same side as Chuck Schumer, both kind of thinking

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Speaker 2: that they are he is the most selectable candidate. I

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Speaker 2: do agree with you if I were them, you're playing

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Speaker 2: with fire here. I mean, you don't know. Look, last time,

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Speaker 2: I think they are all riding high. And this is

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Speaker 2: the problem with politics. Everything is recency biased. They are

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Speaker 2: all riding high off of backing the Doug Mastrianos of

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Speaker 2: the world and others from twenty twenty two. Now, don't

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Speaker 2: get me wrong, it definitely worked out like that. They

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Speaker 2: were right and I was wrong. I didn't think that

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Speaker 2: was a very proven strategy. But you know, it's always

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Speaker 2: a roll of the dice whenever it comes to people

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Speaker 2: who are actually voting. So what if it ends up

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Speaker 2: You know another thing, I was thinking about, is about

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Speaker 2: the Senate Republican majority.

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Speaker 3: Something that's come out of nowhere.

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Speaker 2: Christle is Larry Hogan in Maryland who's running for Senate

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Speaker 2: and he's actually leading in all the polls. That's a

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Speaker 2: plus one in the GOP category. So let's say that

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Speaker 2: Bernie Moreno here wins and takes out a Democrat, and

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Speaker 2: then let's look around the map and listen Kerry Lake.

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Speaker 2: She may have lost once, she could win again.

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Speaker 3: We don't know.

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Speaker 2: She could beat what's the same, Reuben Diego. It could

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Speaker 2: come down to our percentage point. That's another Democratic seat,

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Speaker 2: you know, or I guess independent, whatever cinema is today

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Speaker 2: that goes in the Republican category. Now we're talking about

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Speaker 2: fifty three, maybe fifty four, fifty five seats for the

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Speaker 2: Republicans that are in the Senate. That is a very

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Speaker 2: very very different governing coalition than any time that we

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Speaker 2: saw under Trump in his first term around. So these

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Speaker 2: are all things where they should be very careful and considered.

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Speaker 2: That said, because there's not a lot of daylight between

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Speaker 2: a lot of the Ohio Republicans on abortion, I do

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Speaker 2: think that any of them were going to get hit

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Speaker 2: with this no matter what, and it'll be a great

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Speaker 2: test actually for that abortion standard of twenty twenty two.

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Speaker 2: And in some of the referendums Issue one, I did

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Speaker 2: look it up. He was on the side of Issue one.

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Speaker 2: He came out pretty forcefully for the pro life side

437
00:20:05,200 --> 00:20:07,919
Speaker 2: there and obviously they lost pretty big at the ballot box.

438
00:20:08,160 --> 00:20:11,199
Speaker 2: Whether that's going to carry over into the general like

439
00:20:11,200 --> 00:20:12,560
Speaker 2: we always say, who the hell.

440
00:20:12,440 --> 00:20:15,239
Speaker 1: Knows problems for him? I think I'm also I mean,

441
00:20:15,240 --> 00:20:18,080
Speaker 1: Sharon Brown is not a usually strong politician. He's probably

442
00:20:18,119 --> 00:20:20,080
Speaker 1: one of the only Democrats that could credibly win the

443
00:20:20,119 --> 00:20:24,520
Speaker 1: state at this point. That being sent again, it's different

444
00:20:24,600 --> 00:20:27,240
Speaker 1: at a state level versus a federal level, and so

445
00:20:27,520 --> 00:20:29,840
Speaker 1: is the fact his you know, the way people feel

446
00:20:29,880 --> 00:20:33,280
Speaker 1: about him locally. Is that enough to overcome what has

447
00:20:33,280 --> 00:20:37,400
Speaker 1: become a completely toxic Democratic brand in the state of Ohio.

448
00:20:37,680 --> 00:20:39,760
Speaker 1: I will also say that, you know, some of the

449
00:20:39,800 --> 00:20:43,040
Speaker 1: Biden things that did get past, like the Chips Bill,

450
00:20:43,200 --> 00:20:47,399
Speaker 1: the infrastructure bill, some of the push towards evs and

451
00:20:47,680 --> 00:20:51,359
Speaker 1: you know, increase opening new manufacturing facilities. With regards to that,

452
00:20:51,760 --> 00:20:54,359
Speaker 1: Ohio has been one of the states that has disproportionately

453
00:20:54,400 --> 00:20:57,400
Speaker 1: benefited shared Brown is really running a campaign to tie

454
00:20:57,520 --> 00:21:02,280
Speaker 1: himself to that increase in jobs in the state. And also,

455
00:21:02,359 --> 00:21:05,400
Speaker 1: I mean he's always been extremely pro labor, even when

456
00:21:05,440 --> 00:21:08,720
Speaker 1: that was like not cool, he really stood by unions.

457
00:21:08,800 --> 00:21:11,240
Speaker 1: That's very popular in the state of Ohio. It is

458
00:21:11,400 --> 00:21:13,160
Speaker 1: very I used to live there. It is a very

459
00:21:13,359 --> 00:21:16,399
Speaker 1: populous state and kind a little bit different than the

460
00:21:16,440 --> 00:21:19,640
Speaker 1: more country club Republican brand that may dominate in other places.

461
00:21:20,119 --> 00:21:22,920
Speaker 1: So we'll see. I think chery Brown is planning to

462
00:21:23,000 --> 00:21:27,239
Speaker 1: run his campaign basically on abortion rights and jobs and

463
00:21:27,280 --> 00:21:30,080
Speaker 1: commitment to working people. That is a combination that has

464
00:21:30,080 --> 00:21:31,920
Speaker 1: certainly worked well for him in the past. As I said,

465
00:21:31,920 --> 00:21:34,080
Speaker 1: Democrats think that they got the right candidate that they

466
00:21:34,080 --> 00:21:35,600
Speaker 1: have the best shot of beating, and.

467
00:21:35,760 --> 00:21:37,520
Speaker 2: We will see what happens on a line that is

468
00:21:37,600 --> 00:21:40,800
Speaker 2: hands down the best campaign he could run. I think

469
00:21:40,840 --> 00:21:43,440
Speaker 2: he's the only guy who could possibly win, But as

470
00:21:43,480 --> 00:21:44,879
Speaker 2: you said, it is still going to be a very,

471
00:21:44,960 --> 00:21:47,439
Speaker 2: very tough election on the issue of candidates as well.

472
00:21:47,520 --> 00:21:49,920
Speaker 2: Let's go to this next one, Mark Robinson. We talked

473
00:21:49,960 --> 00:21:52,280
Speaker 2: about him previously. There was a question about whether he'd

474
00:21:52,320 --> 00:21:55,760
Speaker 2: quoted what was it Hitler or not. I will defend him.

475
00:21:55,960 --> 00:21:58,639
Speaker 2: Having read the full context, of the quote. I do

476
00:21:58,720 --> 00:22:01,000
Speaker 2: believe that he was neared by the media that said

477
00:22:01,320 --> 00:22:05,240
Speaker 2: mister Robinson, I would in general epstein from quoting mister Hitler.

478
00:22:05,359 --> 00:22:08,720
Speaker 2: That's just a general per piece of advice. As they

479
00:22:08,800 --> 00:22:11,400
Speaker 2: right here. Mark Robinson has quote has a long history

480
00:22:11,400 --> 00:22:14,720
Speaker 2: of inflammatory statements. He has called for waiving weaving conservative

481
00:22:14,760 --> 00:22:18,119
Speaker 2: religious beliefs into the fabric of the government. Robinson has

482
00:22:18,200 --> 00:22:20,520
Speaker 2: kind of been it's kind of hard to like a

483
00:22:20,640 --> 00:22:23,880
Speaker 2: firebrand almost. Yeah, like firebrand is probably the best way

484
00:22:23,880 --> 00:22:26,000
Speaker 2: to say. I've been familiar with him for a while.

485
00:22:26,040 --> 00:22:28,240
Speaker 3: Seem to kind of bubble up in the state. Yeah,

486
00:22:28,359 --> 00:22:30,720
Speaker 3: just I always like to track like who's.

487
00:22:30,480 --> 00:22:34,640
Speaker 2: Going viral amongst the right wing, the right wing kind

488
00:22:34,680 --> 00:22:37,520
Speaker 2: of video ecosystem, because you know, they go on to

489
00:22:37,560 --> 00:22:40,960
Speaker 2: win elections and then now our primaries and now he's

490
00:22:40,960 --> 00:22:43,959
Speaker 2: going to face you know, and a major test in

491
00:22:44,040 --> 00:22:47,680
Speaker 2: North Carolina. North Carolina is another very interesting one here

492
00:22:47,720 --> 00:22:51,320
Speaker 2: because what we have is the gubernatorial race. Now North

493
00:22:51,359 --> 00:22:54,800
Speaker 2: Carolina at the federal level has been largely.

494
00:22:54,600 --> 00:22:55,879
Speaker 3: Willing to go Republican.

495
00:22:55,960 --> 00:22:57,720
Speaker 2: We know, I think was Obama won the state in

496
00:22:57,720 --> 00:23:00,520
Speaker 2: two thousand and eight, but at the gubernatorial the state level,

497
00:23:00,520 --> 00:23:02,639
Speaker 2: the attorney general and all that, Crystal, they don't have

498
00:23:02,720 --> 00:23:04,760
Speaker 2: really a problem, you know, electing democrats.

499
00:23:04,800 --> 00:23:06,840
Speaker 1: The democratic governor right now, exactly so, And.

500
00:23:07,400 --> 00:23:10,199
Speaker 2: What isn't he facing the state the attorney general in

501
00:23:10,240 --> 00:23:12,160
Speaker 2: the right, I'm not sure, But my point is that

502
00:23:12,320 --> 00:23:15,960
Speaker 2: at the state level they don't have a problem electing Democrats.

503
00:23:16,000 --> 00:23:18,000
Speaker 2: So if that is where it will be a big

504
00:23:18,080 --> 00:23:20,479
Speaker 2: question too, because you know, for all the talk here

505
00:23:20,520 --> 00:23:23,160
Speaker 2: on the show about federal politics and all that, listen,

506
00:23:23,240 --> 00:23:24,200
Speaker 2: I'm not saying it doesn't matter.

507
00:23:24,240 --> 00:23:24,880
Speaker 3: It certainly does.

508
00:23:24,920 --> 00:23:27,000
Speaker 2: But at a gubernatorial level, the state stuff, I mean,

509
00:23:27,000 --> 00:23:29,280
Speaker 2: this all matters a lot too. Yeah, And so for

510
00:23:29,480 --> 00:23:33,080
Speaker 2: North Carolina it's always been in that purplish category. And

511
00:23:33,119 --> 00:23:36,359
Speaker 2: for Biden you need everything you can possibly get. And

512
00:23:37,040 --> 00:23:40,280
Speaker 2: this is the case too, where like, okay, interesting are

513
00:23:40,320 --> 00:23:42,679
Speaker 2: these people who are totally endorsed by mag and all that.

514
00:23:43,000 --> 00:23:45,640
Speaker 2: How are they going to do in an actual election

515
00:23:46,080 --> 00:23:49,760
Speaker 2: against a very cookie cutter, normal Democrat in the state.

516
00:23:49,960 --> 00:23:50,800
Speaker 3: That's a question as well.

517
00:23:50,920 --> 00:23:55,400
Speaker 1: Yeah, and how do the wildest characters that they nominate

518
00:23:55,440 --> 00:24:00,399
Speaker 1: in these primaries translate over into the overall normal person

519
00:24:00,640 --> 00:24:04,480
Speaker 1: impression of the Republican Party, Because in a lot of ways,

520
00:24:04,480 --> 00:24:07,120
Speaker 1: This was the biggest problem in the twenty twenty two midterms.

521
00:24:07,160 --> 00:24:09,640
Speaker 1: It's not that the Democrats were so amazing or they

522
00:24:09,640 --> 00:24:12,680
Speaker 1: were you know, voters were super excited about Joe Biden

523
00:24:13,400 --> 00:24:17,400
Speaker 1: and his party, but they looked at characters like Doug Mastriano,

524
00:24:17,560 --> 00:24:19,520
Speaker 1: and they looked at a lot of the other candidates

525
00:24:19,520 --> 00:24:22,000
Speaker 1: that came out of those primaries, who, by the way,

526
00:24:22,040 --> 00:24:24,880
Speaker 1: by and large, were backed by Donald Trump, and they

527
00:24:24,880 --> 00:24:28,679
Speaker 1: were repulsed in many instances, so that seats like the

528
00:24:28,680 --> 00:24:33,000
Speaker 1: ones in Pennsylvania, which were eminently winnable for Republicans, became,

529
00:24:33,240 --> 00:24:35,720
Speaker 1: you know, not to use what is apparently now a

530
00:24:35,800 --> 00:24:37,199
Speaker 1: very controversial term bloodbath for.

531
00:24:37,240 --> 00:24:42,080
Speaker 2: Republicans, Hey don't, don't go advocating for violence.

532
00:24:42,200 --> 00:24:46,520
Speaker 1: Yeah. So, in any case, I think that's why these

533
00:24:46,560 --> 00:24:49,800
Speaker 1: two individuals, Bernie Marino, but even more to the point

534
00:24:50,160 --> 00:24:52,680
Speaker 1: Mark Robinson, who listen, you can say the other quotes

535
00:24:52,720 --> 00:24:55,040
Speaker 1: were taken out of context. There's plenty to work with

536
00:24:55,280 --> 00:24:58,280
Speaker 1: their for this man saying really wild and out of

537
00:24:58,320 --> 00:25:03,720
Speaker 1: the mainstream things. He also has extremely fringed positions visa

538
00:25:03,840 --> 00:25:05,680
Speaker 1: the abortion, which he has worn on his sleeve and

539
00:25:05,720 --> 00:25:08,040
Speaker 1: has no interest in walking away from, which will be

540
00:25:08,080 --> 00:25:10,320
Speaker 1: anathema to a lot of people in a state like

541
00:25:10,359 --> 00:25:12,720
Speaker 1: North Carolina where these issues you know, obviously, at the

542
00:25:12,720 --> 00:25:16,399
Speaker 1: state level, this is an incredibly present and important issue

543
00:25:16,440 --> 00:25:18,479
Speaker 1: for a whole lot of voters. So that to me

544
00:25:18,560 --> 00:25:21,520
Speaker 1: is the question is do Republicans once again do themselves

545
00:25:21,520 --> 00:25:24,920
Speaker 1: in by nominating these types of candidates who not only

546
00:25:25,040 --> 00:25:29,360
Speaker 1: impact those specific races that should be completely winnable for Republicans,

547
00:25:29,680 --> 00:25:32,239
Speaker 1: but really stain the whole party in this sort of

548
00:25:32,359 --> 00:25:34,199
Speaker 1: like these are a bunch of fringe wackos that we

549
00:25:34,240 --> 00:25:35,080
Speaker 1: want nothing to do with.

550
00:25:35,160 --> 00:25:37,320
Speaker 2: Kind of a way, the other thing I'm paying attention to,

551
00:25:37,359 --> 00:25:41,080
Speaker 2: we don't have an alman for this Pennsylvania. Remember David McCormick,

552
00:25:41,119 --> 00:25:43,760
Speaker 2: who was defeated by doctor Oz. He's very likely going

553
00:25:43,800 --> 00:25:46,120
Speaker 2: to bet Hedge FUNDUS, former Hedge fund guy who worked

554
00:25:46,160 --> 00:25:48,280
Speaker 2: for Ray Dalio, who's one of the biggest sellouts to

555
00:25:48,359 --> 00:25:49,399
Speaker 2: China and American history.

556
00:25:49,440 --> 00:25:51,720
Speaker 3: Secondary it certainly shouldn't be important.

557
00:25:51,800 --> 00:25:55,720
Speaker 2: And my big test for him is he always said

558
00:25:55,800 --> 00:25:58,200
Speaker 2: I could have beat John Fetterman, which I don't believe,

559
00:25:58,400 --> 00:26:00,720
Speaker 2: and now he's going up against Bob Kay. So this

560
00:26:00,880 --> 00:26:03,280
Speaker 2: is also a test on the other side of can

561
00:26:03,320 --> 00:26:08,480
Speaker 2: the traditional normy Republican actually farewell against let's say a

562
00:26:08,520 --> 00:26:12,359
Speaker 2: traditional normy Democrat like Bob Casey in the overall general elections.

563
00:26:12,359 --> 00:26:13,920
Speaker 3: So I'm actually watching that race very closely.

564
00:26:14,000 --> 00:26:16,800
Speaker 2: Yeah, because this is a non MAGA person and you know,

565
00:26:17,080 --> 00:26:20,320
Speaker 2: his whole case was I'm a throwback to Mitt Romney type.

566
00:26:20,400 --> 00:26:22,800
Speaker 2: It's like, well, can the Pat Toomey type Republicans still

567
00:26:22,840 --> 00:26:24,040
Speaker 2: win in the state of Pennsylvania.

568
00:26:24,160 --> 00:26:25,360
Speaker 3: That's gonna be a big question as well.

569
00:26:25,400 --> 00:26:28,400
Speaker 1: And interestingly, Pennsylvania has been one of the swing states

570
00:26:28,440 --> 00:26:31,160
Speaker 1: where Joe Biden has held up better for whatever reasons

571
00:26:31,200 --> 00:26:35,520
Speaker 1: than other swing states according the Bowling. Thanks, Joe's got

572
00:26:35,520 --> 00:26:40,080
Speaker 1: to prove for him, all right. We have some interesting

573
00:26:40,080 --> 00:26:43,760
Speaker 1: developments interesting on the Trump legal front. So, as we

574
00:26:43,880 --> 00:26:49,280
Speaker 1: covered previously, Trump has been unable despite extraordinary efforts of

575
00:26:49,320 --> 00:26:52,760
Speaker 1: going to thirty different insurance companies to secure the half

576
00:26:52,800 --> 00:26:56,000
Speaker 1: a billion dollar bond that he needs to be able

577
00:26:56,040 --> 00:26:59,480
Speaker 1: to put down in this case of his civil fraud

578
00:26:59,560 --> 00:27:02,560
Speaker 1: suit and judgment that went against him for nearly that

579
00:27:02,640 --> 00:27:06,040
Speaker 1: amount of money. So this has led to a variety

580
00:27:06,080 --> 00:27:09,240
Speaker 1: of Fox News personalities floating all kinds of ideas for

581
00:27:09,320 --> 00:27:12,919
Speaker 1: how he could potentially come up with this money, and

582
00:27:13,040 --> 00:27:14,159
Speaker 1: you know, I don't want to make light of it

583
00:27:14,200 --> 00:27:17,560
Speaker 1: because obviously it's an extraordinary sum of money. It could

584
00:27:17,720 --> 00:27:22,240
Speaker 1: genuinely lead to some of his premier New York properties

585
00:27:22,240 --> 00:27:25,520
Speaker 1: being seized by the state because he does not have

586
00:27:25,880 --> 00:27:28,320
Speaker 1: the cash in the bank, because who does to cover

587
00:27:28,520 --> 00:27:31,600
Speaker 1: half a billion dollars. So here we have to start

588
00:27:31,640 --> 00:27:36,680
Speaker 1: with Larry Kudlow asking Kevin O'Leary if he might personally

589
00:27:36,920 --> 00:27:39,240
Speaker 1: float this amount of money to Donald Trump with sigles

590
00:27:39,280 --> 00:27:39,560
Speaker 1: into that.

591
00:27:39,720 --> 00:27:42,800
Speaker 5: Kevin O'Leary, I think this is where it's going to go.

592
00:27:42,960 --> 00:27:43,160
Speaker 4: Now.

593
00:27:43,240 --> 00:27:46,440
Speaker 5: I was wondering, if he can't get to the Supreme Court,

594
00:27:46,480 --> 00:27:48,639
Speaker 5: will you loan on the four hundred and sixty million,

595
00:27:49,359 --> 00:27:52,200
Speaker 5: you know, just to help in order to protect America's name.

596
00:27:52,520 --> 00:27:53,800
Speaker 3: Think about that would get.

597
00:27:53,680 --> 00:27:56,080
Speaker 4: The bond he was able to get the ninety plus

598
00:27:56,080 --> 00:27:59,720
Speaker 4: million from Chubb. Yeah, it's I don't know of a

599
00:27:59,720 --> 00:28:01,600
Speaker 4: bok on more than ninety million.

600
00:28:01,800 --> 00:28:03,000
Speaker 6: I don't recall one.

601
00:28:03,240 --> 00:28:06,280
Speaker 4: And so you need cash to back up the bond insurance.

602
00:28:06,680 --> 00:28:11,440
Speaker 4: And so now we're talking about the terminology of seizing

603
00:28:11,640 --> 00:28:18,639
Speaker 4: assets that actually that's foreign language to an American investor.

604
00:28:19,040 --> 00:28:22,399
Speaker 4: They want due process, they want the appeal that sounds

605
00:28:22,440 --> 00:28:26,040
Speaker 4: like Venezuela, sounds like Cuba. It's a really bad look

606
00:28:26,080 --> 00:28:28,240
Speaker 4: for New York. But I think it's going to beyond

607
00:28:28,280 --> 00:28:34,200
Speaker 4: New York now. Bipartisan participants and financial services managers are

608
00:28:34,240 --> 00:28:38,479
Speaker 4: not okay with this and getting very uncomfortable. And I think,

609
00:28:38,840 --> 00:28:41,760
Speaker 4: whether it's a Supreme Court that provides the adult supervision,

610
00:28:41,920 --> 00:28:47,480
Speaker 4: whether it's somebody else we desperately need for this kid's party,

611
00:28:47,920 --> 00:28:49,040
Speaker 4: for the adults to get home.

612
00:28:49,240 --> 00:28:52,720
Speaker 1: So notably does not respond directly to Larry. I don't

613
00:28:52,720 --> 00:28:54,680
Speaker 1: think he's good for that half a billion dollars.

614
00:28:54,720 --> 00:28:56,480
Speaker 3: So no, I think he's probably good for it. I

615
00:28:56,520 --> 00:28:57,280
Speaker 3: think he just don't well.

616
00:28:57,320 --> 00:28:58,959
Speaker 1: I mean, I don't think he's going to pony it up,

617
00:28:59,000 --> 00:28:59,440
Speaker 1: is what I mean.

618
00:28:59,480 --> 00:29:01,120
Speaker 2: I got a soft spot for Kevin. He's got a

619
00:29:01,120 --> 00:29:03,040
Speaker 2: great watch collection. He does a lot of good watch

620
00:29:03,040 --> 00:29:05,440
Speaker 2: sho He's got a great He's got a lot of

621
00:29:05,440 --> 00:29:08,000
Speaker 2: good watch content on YouTube, if you're interested.

622
00:29:08,760 --> 00:29:09,760
Speaker 1: I don't know who really.

623
00:29:11,320 --> 00:29:11,480
Speaker 3: Right.

624
00:29:11,520 --> 00:29:13,720
Speaker 1: That's really all I know about it. I will come

625
00:29:13,720 --> 00:29:16,280
Speaker 1: out hard for Trump recently. Is that the idea he's

626
00:29:16,280 --> 00:29:17,120
Speaker 1: like a business guy.

627
00:29:17,160 --> 00:29:20,240
Speaker 2: I like he was saying he's attacking it from the

628
00:29:20,400 --> 00:29:22,720
Speaker 2: I've never seen a bond kind of thing he's he

629
00:29:22,880 --> 00:29:26,680
Speaker 2: likes to speak out about, like, yeah, exactly like business finance.

630
00:29:26,680 --> 00:29:29,120
Speaker 2: I know it has done a lot of business in

631
00:29:29,160 --> 00:29:30,760
Speaker 2: New York. So I'm not gonna, you know, go after

632
00:29:30,800 --> 00:29:33,200
Speaker 2: his analysis there or whatever. All I would say is, uh,

633
00:29:33,320 --> 00:29:35,880
Speaker 2: I think it is interesting that even his richest and

634
00:29:35,960 --> 00:29:38,800
Speaker 2: wealthiest I wouldn't call him a backer here. Also, I

635
00:29:38,840 --> 00:29:41,200
Speaker 2: do think Kevin is Canadian, so that that's important.

636
00:29:41,440 --> 00:29:43,320
Speaker 3: They though, are while they.

637
00:29:43,320 --> 00:29:46,000
Speaker 2: Made to cry the decision, I've seen others Joe Lonsdale

638
00:29:46,240 --> 00:29:49,400
Speaker 2: and others who are talking about this very very wealthy individuals.

639
00:29:49,680 --> 00:29:50,960
Speaker 3: Nobody yet, though, is.

640
00:29:50,920 --> 00:29:53,800
Speaker 2: Willing to actually pay the fine for the man, and

641
00:29:53,840 --> 00:29:54,720
Speaker 2: that seems important.

642
00:29:54,800 --> 00:29:58,440
Speaker 1: Yeah, And I would just say with regards to his analysis,

643
00:29:58,480 --> 00:30:00,800
Speaker 1: you know, maybe we're not used to seeing people who

644
00:30:00,840 --> 00:30:02,800
Speaker 1: are at that level of you know, the top point

645
00:30:03,080 --> 00:30:06,360
Speaker 1: one percent of wealth, seeing that lians put on their

646
00:30:06,400 --> 00:30:09,000
Speaker 1: accounts and assets sees. But this is a very common

647
00:30:09,000 --> 00:30:11,600
Speaker 1: occurrence for you know, ordinary people who you know, get

648
00:30:11,600 --> 00:30:13,760
Speaker 1: behind on jobs, aboard or bed behind.

649
00:30:13,440 --> 00:30:14,200
Speaker 3: All taxes or where.

650
00:30:14,240 --> 00:30:16,960
Speaker 1: I mean, that's very commonplace. So it's not like, oh

651
00:30:16,960 --> 00:30:20,280
Speaker 1: my god, this has never happened before. This is venezuela tax,

652
00:30:20,600 --> 00:30:22,760
Speaker 1: you know, back toaxes. All these sorts of things can

653
00:30:22,880 --> 00:30:25,840
Speaker 1: result in lians being put on your accounts, or your

654
00:30:25,920 --> 00:30:28,600
Speaker 1: pay being garnished, or your assets being seized, et cetera.

655
00:30:28,720 --> 00:30:29,640
Speaker 1: So this is not that's true.

656
00:30:29,680 --> 00:30:32,360
Speaker 2: You know, credit card companies garnish people wages all the time.

657
00:30:32,400 --> 00:30:33,920
Speaker 2: All they have to do is take your take you

658
00:30:33,960 --> 00:30:36,000
Speaker 2: to court and they can put Yeah they can literally

659
00:30:36,080 --> 00:30:37,560
Speaker 2: it only takes them a year and they can actually

660
00:30:37,560 --> 00:30:39,440
Speaker 2: take money out of your paycheck yeh, which is crazy

661
00:30:39,440 --> 00:30:39,880
Speaker 2: in my opinion.

662
00:30:39,960 --> 00:30:40,600
Speaker 3: Yeah, that's all of it.

663
00:30:40,840 --> 00:30:45,240
Speaker 1: Indeed. Okay, So just to underscore what is actually going

664
00:30:45,240 --> 00:30:47,160
Speaker 1: on here, because again I don't want to make light

665
00:30:47,200 --> 00:30:49,680
Speaker 1: of it. It is a huge amount of money. It

666
00:30:49,760 --> 00:30:53,440
Speaker 1: is really significant to Trump himself. Let's put this up

667
00:30:53,440 --> 00:30:57,680
Speaker 1: on the screen from the AP. So this article goes

668
00:30:57,720 --> 00:31:01,120
Speaker 1: into yes, it is a very real possibility on the

669
00:31:01,160 --> 00:31:05,120
Speaker 1: table that New York could seize Trump's assets. They say,

670
00:31:05,120 --> 00:31:06,960
Speaker 1: if Trump isn't able to pay, the state could levy

671
00:31:07,000 --> 00:31:09,560
Speaker 1: and sell his assets. Lean is real property garnish anyone

672
00:31:09,800 --> 00:31:13,840
Speaker 1: who owes him money. According to a Syracuse University law professor,

673
00:31:14,200 --> 00:31:17,600
Speaker 1: potential targets could include properties like his Trump Tower, Penthouse,

674
00:31:17,960 --> 00:31:21,880
Speaker 1: Wall Street office building, and golf courses. Letitia James's office

675
00:31:21,880 --> 00:31:24,440
Speaker 1: could also seek permission to drain Trump's bank accounts and

676
00:31:24,440 --> 00:31:28,400
Speaker 1: investment portfolios, or sell off other assets like his planes, helicopters,

677
00:31:28,480 --> 00:31:30,960
Speaker 1: or even his golf carts. They go on to say

678
00:31:30,960 --> 00:31:33,680
Speaker 1: seizing assets is a common legal tactic when someone cannot

679
00:31:33,720 --> 00:31:37,160
Speaker 1: access enough cash to pay a civil penalty. Now, Trump

680
00:31:37,320 --> 00:31:41,600
Speaker 1: does still have some avenues of appeal, and Letitia James

681
00:31:41,640 --> 00:31:44,600
Speaker 1: has not yet indicated how aggressive she's going to be

682
00:31:44,960 --> 00:31:47,680
Speaker 1: in moving to make good on this payment that is

683
00:31:47,720 --> 00:31:50,320
Speaker 1: currently owed. So a lot of things that are up

684
00:31:50,360 --> 00:31:53,240
Speaker 1: in the air there. Let's skip over the next one

685
00:31:53,320 --> 00:31:56,760
Speaker 1: and go to our next Fox News personality with an

686
00:31:56,800 --> 00:32:00,440
Speaker 1: innovative idea for how Trump may be able to pay

687
00:32:00,560 --> 00:32:05,360
Speaker 1: this judgment amount. Laura Ingram says, maybe he should crowdsource

688
00:32:05,400 --> 00:32:08,800
Speaker 1: it and ask his supporters to fund this half a

689
00:32:08,840 --> 00:32:11,120
Speaker 1: billion dollar judgment. Let's take a listen to that.

690
00:32:11,280 --> 00:32:15,880
Speaker 7: A friend texted me today and said Trump should crowd

691
00:32:16,000 --> 00:32:18,880
Speaker 7: fund this fine. Like if I think it's like one

692
00:32:18,920 --> 00:32:22,320
Speaker 7: million supporters each gave him four hundred and fifty dollars

693
00:32:22,360 --> 00:32:26,280
Speaker 7: that would cover the fine. But in the meantime, what

694
00:32:26,320 --> 00:32:29,000
Speaker 7: are his options here in emergency to stay from a

695
00:32:29,000 --> 00:32:29,640
Speaker 7: federal court?

696
00:32:29,720 --> 00:32:30,360
Speaker 3: Where does he go?

697
00:32:30,600 --> 00:32:32,240
Speaker 1: So what do you think of that? When Soger, should

698
00:32:32,240 --> 00:32:36,560
Speaker 1: he go to his supporters to crowd fund this this judgment?

699
00:32:37,000 --> 00:32:37,320
Speaker 3: This one.

700
00:32:37,400 --> 00:32:40,120
Speaker 2: Look, I have no problem with people asking rich people

701
00:32:40,120 --> 00:32:43,120
Speaker 2: for money, but asking Trump supporters for money that really.

702
00:32:43,000 --> 00:32:43,680
Speaker 3: Pisses me off.

703
00:32:43,760 --> 00:32:47,280
Speaker 2: And you know, especially these box news people. Laura herself

704
00:32:47,320 --> 00:32:49,840
Speaker 2: is incredibly wealthy. I mean, she's been in the conservative

705
00:32:50,120 --> 00:32:53,680
Speaker 2: like media complex for decades now. From what I heard,

706
00:32:53,680 --> 00:32:55,720
Speaker 2: she's done very very well. It's like, okay, you shell

707
00:32:55,760 --> 00:32:58,920
Speaker 2: it out then, Like, don't be asking grandma's and grandpa's

708
00:32:58,960 --> 00:33:02,280
Speaker 2: on Social Security to pay for Trump's four hundred and

709
00:33:02,320 --> 00:33:05,240
Speaker 2: fifty million dollars pond. That actually makes me very upset

710
00:33:05,280 --> 00:33:07,880
Speaker 2: because the problem is it goes back to stop the

711
00:33:07,920 --> 00:33:11,200
Speaker 2: steal and all the money some two hundred and fifty

712
00:33:11,200 --> 00:33:13,560
Speaker 2: million dollars that was raised on the backs of people.

713
00:33:13,920 --> 00:33:16,280
Speaker 3: Listen, it is their money. They can do as they wish.

714
00:33:16,360 --> 00:33:19,240
Speaker 2: But you know, Trump was like, the election was stolen,

715
00:33:19,320 --> 00:33:21,680
Speaker 2: I need you to support me, and they gave him

716
00:33:21,720 --> 00:33:24,000
Speaker 2: a quarter billion and he didn't spend any of it

717
00:33:24,040 --> 00:33:26,120
Speaker 2: on his elections. He ended up spending it on his

718
00:33:26,160 --> 00:33:29,600
Speaker 2: Save America pack and in some cases paying for his reelection.

719
00:33:29,840 --> 00:33:32,800
Speaker 3: I legally, he can do as he pleases. I don't

720
00:33:32,840 --> 00:33:33,440
Speaker 3: think that's right.

721
00:33:33,560 --> 00:33:35,200
Speaker 2: I don't think it's right to be asking, you know,

722
00:33:35,240 --> 00:33:37,479
Speaker 2: a bunch of boomers mailing in checks and all these

723
00:33:37,520 --> 00:33:39,640
Speaker 2: who may believe in Donald Trump. And in this case,

724
00:33:39,680 --> 00:33:41,960
Speaker 2: it wouldn't even be a campaign or election related. It

725
00:33:41,960 --> 00:33:43,800
Speaker 2: would be literally related.

726
00:33:43,440 --> 00:33:44,800
Speaker 3: To his own personal finances.

727
00:33:44,840 --> 00:33:48,560
Speaker 2: And I understand the investigation and all that obviously is political,

728
00:33:48,600 --> 00:33:51,920
Speaker 2: but to have it be his personal benefit, it's not right,

729
00:33:52,000 --> 00:33:54,360
Speaker 2: you know. So look, you want to ask your wealthy people, fine,

730
00:33:54,360 --> 00:33:55,840
Speaker 2: but don't be asking normal folks.

731
00:33:56,040 --> 00:33:59,840
Speaker 1: Co stein completely and they really have been so exploited.

732
00:34:00,040 --> 00:34:02,840
Speaker 1: Trump has tapped these people dry number one, to the

733
00:34:03,920 --> 00:34:07,600
Speaker 1: to the extent that you know, other Republican candidates have

734
00:34:07,880 --> 00:34:11,399
Speaker 1: really struggled with grassroots fundraising because Trump has just hit

735
00:34:11,480 --> 00:34:15,600
Speaker 1: these lists over and over and over again. And that's

736
00:34:15,719 --> 00:34:18,440
Speaker 1: becoming a problem now for him increasingly, where there just

737
00:34:18,640 --> 00:34:23,960
Speaker 1: isn't enough money among his sizeable grassroots base to continue

738
00:34:24,000 --> 00:34:27,160
Speaker 1: to you know, fully fund his campaign, let alone the

739
00:34:27,239 --> 00:34:29,520
Speaker 1: legal bills that he's been able to you know, pay

740
00:34:29,520 --> 00:34:32,080
Speaker 1: with political money as well. And then you also have

741
00:34:32,200 --> 00:34:36,440
Speaker 1: you know, the build the Wall people. Oh yeah, people

742
00:34:36,520 --> 00:34:39,520
Speaker 1: who are out there like raising money from Trump supporters,

743
00:34:39,560 --> 00:34:43,000
Speaker 1: claiming they're investing in some currency that's going to come

744
00:34:43,120 --> 00:34:45,680
Speaker 1: become legal tender when Trump is realized. I mean, so

745
00:34:45,880 --> 00:34:49,280
Speaker 1: much nonsense and grift has been directed to these people.

746
00:34:49,320 --> 00:34:52,000
Speaker 1: This is the last thing that needs to happen. And

747
00:34:52,120 --> 00:34:54,600
Speaker 1: I think your point as well said, if Laura wants to,

748
00:34:54,760 --> 00:34:57,880
Speaker 1: you know, put up a few million towards Trump's legal bills,

749
00:34:57,880 --> 00:35:00,800
Speaker 1: she and some of her rich friends should feelsolutely free

750
00:35:01,080 --> 00:35:05,120
Speaker 1: to do that. Put the last element up here be

751
00:35:05,280 --> 00:35:09,000
Speaker 1: five from the New York Post. It's the New York Post,

752
00:35:09,239 --> 00:35:12,880
Speaker 1: so take it for what it's worth. But they have

753
00:35:13,040 --> 00:35:16,160
Speaker 1: some report from inside the Trump camp of how he

754
00:35:16,280 --> 00:35:21,439
Speaker 1: is considering his options, and they said increasingly, one thing

755
00:35:21,520 --> 00:35:24,560
Speaker 1: that they're you know, very seriously considering and maybe even

756
00:35:24,680 --> 00:35:29,200
Speaker 1: leaning towards, is simply doing nothing, letting the deadline for

757
00:35:29,520 --> 00:35:33,560
Speaker 1: posting this bond pass and putting the ball in New

758
00:35:33,600 --> 00:35:37,239
Speaker 1: York Attorney General Letitia James's court to decide if she's

759
00:35:37,280 --> 00:35:40,320
Speaker 1: going to actually seize Trump's bank accounts or buildings, including

760
00:35:40,320 --> 00:35:43,680
Speaker 1: Trump Tower, of course, Trump Tower famously where he declared

761
00:35:43,719 --> 00:35:46,440
Speaker 1: his twenty sixteen presidential run, where he famously has his

762
00:35:46,480 --> 00:35:51,359
Speaker 1: own personal penthouse. And the thinking is number one, again,

763
00:35:51,440 --> 00:35:54,200
Speaker 1: you're sort of putting the onus on her. I think

764
00:35:54,280 --> 00:35:56,400
Speaker 1: Trump probably it doesn't say this in the article, but

765
00:35:56,440 --> 00:35:58,640
Speaker 1: probably feels he can use this to some sort of

766
00:35:58,680 --> 00:36:02,160
Speaker 1: political effect, and then they feel confident that through the

767
00:36:02,200 --> 00:36:05,520
Speaker 1: appeals process, this amount at least may get knocked down

768
00:36:06,080 --> 00:36:10,560
Speaker 1: and then he could regain those assets. Now there's actually

769
00:36:10,560 --> 00:36:14,960
Speaker 1: no guarantees in that regard, because if Trump Tower, let's say,

770
00:36:15,360 --> 00:36:18,040
Speaker 1: get seized and sold off in a fire sale, the

771
00:36:18,080 --> 00:36:21,839
Speaker 1: state doesn't owe Trump Tower back to Trump. They just

772
00:36:21,960 --> 00:36:25,040
Speaker 1: owe the amount of money that they obtain from Trump

773
00:36:25,080 --> 00:36:28,920
Speaker 1: Tower back to Trump. But according to the New York Post,

774
00:36:29,000 --> 00:36:32,480
Speaker 1: at least this is an avenue that he is seriously considering,

775
00:36:32,520 --> 00:36:35,279
Speaker 1: which would be you know, a real wild development in

776
00:36:35,400 --> 00:36:38,040
Speaker 1: terms of politics. In this man's whole brand is based

777
00:36:38,080 --> 00:36:42,040
Speaker 1: on his iconic brand, and you know, his name being

778
00:36:42,040 --> 00:36:45,280
Speaker 1: plastered on these buildings, Trump Tower being the most famous

779
00:36:45,640 --> 00:36:48,000
Speaker 1: of all his all of his properties. So that's why

780
00:36:48,040 --> 00:36:50,520
Speaker 1: this truly is an extraordinary development that we're dragging here.

781
00:36:50,600 --> 00:36:52,000
Speaker 3: Yeah, exactly, I mean if he does.

782
00:36:52,080 --> 00:36:54,640
Speaker 2: If she does take it, it will be very politically

783
00:36:54,680 --> 00:36:57,319
Speaker 2: and financially significant. For also, I think he lives there,

784
00:36:57,440 --> 00:37:00,360
Speaker 2: or at least maintained. I mean, he has that famous penthouse.

785
00:37:00,280 --> 00:37:02,120
Speaker 1: Mostly in Florida, now though I think I.

786
00:37:02,160 --> 00:37:04,200
Speaker 2: Know he's a Florida resident. But you know, with these

787
00:37:04,320 --> 00:37:06,760
Speaker 2: rich folks, they do six months in one day or whatever,

788
00:37:06,840 --> 00:37:09,480
Speaker 2: the houses everywhere. From what I know, he had a

789
00:37:09,480 --> 00:37:11,840
Speaker 2: penthouse apartment there, the famous one, like I said, with

790
00:37:11,840 --> 00:37:14,080
Speaker 2: the gold toilet, the marble worthy.

791
00:37:13,760 --> 00:37:16,279
Speaker 1: Of Well, that penthouse was probably what got him in

792
00:37:16,280 --> 00:37:20,160
Speaker 1: trouble here too, because he wildly for some loan estimate

793
00:37:20,640 --> 00:37:23,319
Speaker 1: inflated like the square footage and how much it would

794
00:37:23,320 --> 00:37:25,760
Speaker 1: be were I mean, I'm talking bout a ridiculous factor.

795
00:37:25,800 --> 00:37:27,799
Speaker 1: It wasn't even close. So this was one of the

796
00:37:27,840 --> 00:37:31,520
Speaker 1: issues that they went after him for. Let's go and

797
00:37:31,560 --> 00:37:33,920
Speaker 1: put this last piece up on the screen. B three

798
00:37:34,600 --> 00:37:37,759
Speaker 1: with regard to the Georgia case, So, as we told

799
00:37:37,840 --> 00:37:42,279
Speaker 1: you previously, there had been a question over whether there

800
00:37:42,360 --> 00:37:47,960
Speaker 1: was a disqualifying conflict of interest with Fanny Willis and

801
00:37:48,200 --> 00:37:51,279
Speaker 1: her former at least lover who had been brought on

802
00:37:51,360 --> 00:37:53,560
Speaker 1: as a special prosecutor and earned hundreds of thousands of

803
00:37:53,640 --> 00:37:56,560
Speaker 1: dollars with regards to the prosecution of this case. So

804
00:37:56,600 --> 00:38:00,520
Speaker 1: the decision came down from this judge that, no, it

805
00:38:00,560 --> 00:38:02,920
Speaker 1: didn't rise completely to the level of conflict of interest,

806
00:38:03,000 --> 00:38:05,320
Speaker 1: but this was enough of a problem that one or

807
00:38:05,360 --> 00:38:08,560
Speaker 1: the other of them needed to resign. He resigned. Fanny

808
00:38:08,560 --> 00:38:11,720
Speaker 1: Willis is still in place, but Trump is now, according

809
00:38:11,760 --> 00:38:17,160
Speaker 1: to this report, able to appeal that ruling. So I'll

810
00:38:17,160 --> 00:38:19,040
Speaker 1: read you a little bit of what Acio says here.

811
00:38:19,120 --> 00:38:22,720
Speaker 1: They say, the judge overseeing former President Trump's Georgia election

812
00:38:22,800 --> 00:38:26,360
Speaker 1: subversion case granted a pathway Wednesday for Trump to appeal

813
00:38:26,400 --> 00:38:29,279
Speaker 1: his decision to allow Fulton County District Attorney Fanny Willis

814
00:38:29,320 --> 00:38:32,160
Speaker 1: to remain at the helm of the prosecution. Why it matters,

815
00:38:32,200 --> 00:38:34,680
Speaker 1: they say. By granted a certificate of immediate review, Fulton

816
00:38:34,719 --> 00:38:38,560
Speaker 1: County Judge Scott McAfee enabled Trump's lawyers to appeal the

817
00:38:38,600 --> 00:38:41,240
Speaker 1: decision to the Georgia Court of Appeals before the start

818
00:38:41,400 --> 00:38:45,640
Speaker 1: of a trial. McAfee's granted the defense's requests for a review.

819
00:38:45,719 --> 00:38:47,560
Speaker 1: Note in the court filing that other matters related to

820
00:38:47,600 --> 00:38:50,480
Speaker 1: the case will go forward as planned, so it's not

821
00:38:50,520 --> 00:38:54,920
Speaker 1: like everything stops while this review is being conducted. But

822
00:38:55,160 --> 00:38:59,239
Speaker 1: nevertheless a win for Trump and another crack at being

823
00:38:59,239 --> 00:39:02,799
Speaker 1: able to low or even completely undermine this case or

824
00:39:02,840 --> 00:39:05,400
Speaker 1: get Also, Fanny willis removed from the case, so that

825
00:39:05,560 --> 00:39:07,279
Speaker 1: is you know, significant development for him.

826
00:39:07,360 --> 00:39:10,399
Speaker 2: Yeah, very because the appeal up a it takes more

827
00:39:10,400 --> 00:39:11,880
Speaker 2: time be for Fanny Willis.

828
00:39:11,920 --> 00:39:14,040
Speaker 3: This is going to kick it to the appellate court

829
00:39:14,080 --> 00:39:14,600
Speaker 3: and all of this.

830
00:39:14,760 --> 00:39:17,800
Speaker 2: Remember, even if Trump would eventually get convicted, this is

831
00:39:17,840 --> 00:39:20,840
Speaker 2: all going to matter even more on appeal again, because

832
00:39:20,840 --> 00:39:22,520
Speaker 2: it's not like Trump is going to run out of money.

833
00:39:22,560 --> 00:39:24,319
Speaker 2: So from what I understand, this is just going to

834
00:39:24,360 --> 00:39:26,800
Speaker 2: lengthen it, you know, even more significantly and publicly. It

835
00:39:26,920 --> 00:39:30,440
Speaker 2: still remains a blow to her in the overall investigation.

836
00:39:30,640 --> 00:39:33,120
Speaker 2: Not to mention the fact that even if she does

837
00:39:33,280 --> 00:39:35,560
Speaker 2: survive this, don't forget, she still has to re grand

838
00:39:35,680 --> 00:39:39,040
Speaker 2: jury six specific reco charges before she's able to bring

839
00:39:39,080 --> 00:39:42,040
Speaker 2: them in her trial against Trump. Specifically that one relating

840
00:39:42,080 --> 00:39:43,960
Speaker 2: to the perfect phone. Well, I don't know how many

841
00:39:43,960 --> 00:39:45,560
Speaker 2: perfect phone calls her up. This was one of the

842
00:39:45,640 --> 00:39:48,919
Speaker 2: perfect phone, one of the most perfect.

843
00:39:50,239 --> 00:39:51,280
Speaker 1: Let's talk about happiness.

844
00:39:51,360 --> 00:39:54,680
Speaker 2: Let's talk about happiness and does it even exist in

845
00:39:54,840 --> 00:39:56,920
Speaker 2: Moore here in the United States, and to what extent,

846
00:39:56,960 --> 00:39:59,160
Speaker 2: let's go and pull this up there on the screen.

847
00:39:59,200 --> 00:40:02,920
Speaker 2: There was a very report here from Yahoo News, and

848
00:40:03,080 --> 00:40:05,640
Speaker 2: it was a write up specifically about how the American

849
00:40:05,719 --> 00:40:09,719
Speaker 2: dream now costs three point four million dollars, and the

850
00:40:09,800 --> 00:40:12,640
Speaker 2: overall way that they arrived at that math was that

851
00:40:12,719 --> 00:40:17,200
Speaker 2: between marriage, two kids, homes, healthcare, cars, and education and

852
00:40:17,360 --> 00:40:20,840
Speaker 2: estimated three point four five million dollars over the course

853
00:40:21,120 --> 00:40:24,520
Speaker 2: of a lifetime. A new Investipedia study has found this

854
00:40:24,560 --> 00:40:27,400
Speaker 2: is from December of twenty twenty three, but has actually

855
00:40:27,440 --> 00:40:30,000
Speaker 2: been readjusted now at this point. They say that the

856
00:40:30,000 --> 00:40:33,040
Speaker 2: cost of raising children, in particular just two to the

857
00:40:33,080 --> 00:40:35,560
Speaker 2: age of eighteen now totals five hundred and seventy six

858
00:40:35,960 --> 00:40:38,760
Speaker 2: eight hundred and ninety six dollars. That the lifetime costs

859
00:40:38,800 --> 00:40:41,840
Speaker 2: currently with the ten percent down payment on average and

860
00:40:41,880 --> 00:40:45,040
Speaker 2: a thirty year fixed rate mortgage of approximately seven percent,

861
00:40:45,080 --> 00:40:47,640
Speaker 2: which is where we're at right now, is eight.

862
00:40:47,480 --> 00:40:48,600
Speaker 3: Hundred thousand dollars.

863
00:40:48,880 --> 00:40:51,480
Speaker 2: That's actually possibly the most stunning part to me because

864
00:40:51,480 --> 00:40:55,120
Speaker 2: it really shows us where how the massive impact of

865
00:40:55,320 --> 00:40:59,920
Speaker 2: interest rates can affect this car purchases lifetime on average,

866
00:41:00,120 --> 00:41:01,120
Speaker 2: in how people are spending.

867
00:41:01,160 --> 00:41:02,600
Speaker 3: It's about two.

868
00:41:02,160 --> 00:41:05,439
Speaker 2: Hundred and seventy thousand dollars, another very very significant chunk.

869
00:41:05,480 --> 00:41:08,400
Speaker 2: But let me tell you, guys, the one that hurts

870
00:41:08,440 --> 00:41:11,480
Speaker 2: more than any of this in the breakdown is average

871
00:41:11,719 --> 00:41:16,040
Speaker 2: family premium cost thirty nine years of annual for a

872
00:41:16,040 --> 00:41:21,120
Speaker 2: family of four, nine hundred and thirty four thousand dollars

873
00:41:21,320 --> 00:41:24,880
Speaker 2: out of cost ahurance, just for health insurance, out of pocket.

874
00:41:25,200 --> 00:41:27,040
Speaker 3: And the craziest part.

875
00:41:26,840 --> 00:41:29,440
Speaker 2: Is that doesn't even include the hospital birth that they

876
00:41:29,480 --> 00:41:31,800
Speaker 2: list here at the top right, which is fifty seven hundred,

877
00:41:31,920 --> 00:41:34,200
Speaker 2: because that's what people are paying out of their damn deductibles.

878
00:41:34,239 --> 00:41:36,720
Speaker 1: Yeah, so that doesn't that doesn't actually include your medical

879
00:41:36,800 --> 00:41:38,120
Speaker 1: That is just your premium.

880
00:41:38,280 --> 00:41:42,720
Speaker 2: Yeah, just the premium, not medicalbuts so insane. It's funny

881
00:41:42,719 --> 00:41:47,480
Speaker 2: because retirement in this is less than a lifetime health

882
00:41:47,480 --> 00:41:50,960
Speaker 2: insurance cost. That is what outraged me actually most about this.

883
00:41:51,080 --> 00:41:53,000
Speaker 2: The top line figure. You know, we can debate and

884
00:41:53,320 --> 00:41:54,680
Speaker 2: spend some time on that, and a lot of this

885
00:41:54,760 --> 00:41:56,480
Speaker 2: is fungible, like you can, you know, you can buy

886
00:41:56,520 --> 00:41:58,680
Speaker 2: cheaper cars, you can buy a smaller house, you can

887
00:41:58,760 --> 00:42:00,680
Speaker 2: choose to go to state college and all that, but

888
00:42:00,760 --> 00:42:03,120
Speaker 2: you really can't choose to not have health insurance in

889
00:42:03,120 --> 00:42:05,799
Speaker 2: this country. That's one of the most fixed costs in

890
00:42:05,840 --> 00:42:08,879
Speaker 2: this entire thing. It is the single biggest chunk of

891
00:42:08,920 --> 00:42:13,279
Speaker 2: your overall lifetime of your overall lifetime expenses. And what

892
00:42:13,320 --> 00:42:15,960
Speaker 2: do we know is that this currently is just based

893
00:42:15,960 --> 00:42:18,960
Speaker 2: on twenty eighteen to twenty twenty costs. There's actually been

894
00:42:19,000 --> 00:42:23,000
Speaker 2: an inflation, huge inflation in health insurance costs. Health insurance

895
00:42:23,000 --> 00:42:27,239
Speaker 2: costs inflation far outstrips and normal CPI inflation. And I

896
00:42:27,239 --> 00:42:29,480
Speaker 2: haven't even mentioned food and cost of living and all this,

897
00:42:29,560 --> 00:42:32,200
Speaker 2: so the likely number is probably higher. So the point

898
00:42:32,239 --> 00:42:34,399
Speaker 2: of all this is just that the cost has gone

899
00:42:34,440 --> 00:42:37,279
Speaker 2: significantly up from where it was previously. And then lo

900
00:42:37,480 --> 00:42:40,640
Speaker 2: and behold, it turns out that the US has slid

901
00:42:40,800 --> 00:42:43,920
Speaker 2: down on the ranking of overall national happiness. Let's go

902
00:42:43,960 --> 00:42:47,200
Speaker 2: and put this up there on the screen Finland for

903
00:42:47,239 --> 00:42:49,360
Speaker 2: some reason, we'll talk about this in a second. Let

904
00:42:49,400 --> 00:42:51,800
Speaker 2: me focus on the US part at least right now.

905
00:42:52,000 --> 00:42:54,680
Speaker 2: The US has now slipped from the top twenty of

906
00:42:54,840 --> 00:42:59,160
Speaker 2: nations in overall happiness. But what they is particularly noteworthy

907
00:42:59,480 --> 00:43:02,640
Speaker 2: is that in side of the report, what we find

908
00:43:02,840 --> 00:43:07,080
Speaker 2: is that it is largely attributable to young people. It's

909
00:43:07,200 --> 00:43:09,520
Speaker 2: that the people who are over the age of thirty,

910
00:43:10,080 --> 00:43:13,879
Speaker 2: their overall happiness ranking has not really gone and by

911
00:43:13,880 --> 00:43:16,719
Speaker 2: the way, this is all self reported. Their overall happiness

912
00:43:16,800 --> 00:43:19,319
Speaker 2: ranking has either remained static or has gone up, but

913
00:43:19,400 --> 00:43:23,400
Speaker 2: that the drop in the young happiness has actually slid

914
00:43:23,480 --> 00:43:26,120
Speaker 2: all of the US below the top twenty for the

915
00:43:26,120 --> 00:43:27,399
Speaker 2: first time in quite a long time.

916
00:43:27,480 --> 00:43:31,680
Speaker 1: So they surveyed one hundred and forty three countries. The

917
00:43:31,760 --> 00:43:34,640
Speaker 1: unhappiest country, by the way, is Afghanistan, which we obviously

918
00:43:34,680 --> 00:43:38,280
Speaker 1: had a significant handan way to go, guys, the US

919
00:43:38,400 --> 00:43:42,360
Speaker 1: ranked tenth for people who are sixty and older they

920
00:43:42,400 --> 00:43:46,960
Speaker 1: still feel pretty good about things, but sixty second for

921
00:43:47,080 --> 00:43:53,480
Speaker 1: people under thirty, sixty second for people under thirty. They

922
00:43:53,560 --> 00:43:57,040
Speaker 1: quote an economist in one report who said, I have

923
00:43:57,239 --> 00:44:00,440
Speaker 1: never seen such an extreme change talking about the drop

924
00:44:00,480 --> 00:44:03,400
Speaker 1: in happiness among younger people. This has all happened in

925
00:44:03,440 --> 00:44:06,920
Speaker 1: the last ten years. It's mainly in English language countries.

926
00:44:07,000 --> 00:44:10,000
Speaker 1: There isn't this drop among young people in the world

927
00:44:10,160 --> 00:44:13,400
Speaker 1: as a whole. And this report I looked at also

928
00:44:13,800 --> 00:44:17,000
Speaker 1: talk to a young person who was not feeling too happy,

929
00:44:17,239 --> 00:44:19,640
Speaker 1: who said, listen, we have less to look forward to

930
00:44:19,880 --> 00:44:21,640
Speaker 1: in the future, there's going to be climate change though

931
00:44:21,680 --> 00:44:23,560
Speaker 1: effect the way we live. There's less of a clear

932
00:44:23,560 --> 00:44:26,160
Speaker 1: cut trajectory for our life paths because for so long

933
00:44:26,560 --> 00:44:28,880
Speaker 1: it was so easy just to know you could get married,

934
00:44:29,280 --> 00:44:32,040
Speaker 1: have your two point five kids, pay for your house.

935
00:44:32,480 --> 00:44:36,680
Speaker 1: Now that path is a lot more closed. And going

936
00:44:36,760 --> 00:44:39,200
Speaker 1: back to some of those components that make up the

937
00:44:39,320 --> 00:44:43,440
Speaker 1: three point five million dollars that you need just to

938
00:44:43,800 --> 00:44:46,800
Speaker 1: do the basics of the like you know, middle class

939
00:44:46,840 --> 00:44:51,480
Speaker 1: American dream life. Have a house, go to college, get married,

940
00:44:51,920 --> 00:44:57,640
Speaker 1: have kids, be able to retire, have health insurance. Those pieces,

941
00:44:57,680 --> 00:45:02,520
Speaker 1: those core components have go on up in price wildly

942
00:45:02,800 --> 00:45:05,799
Speaker 1: over the past several decades. So you know, we've talked

943
00:45:05,800 --> 00:45:08,719
Speaker 1: a lot about inflation in terms of near term cost

944
00:45:08,800 --> 00:45:12,280
Speaker 1: of living. Those things and obviously incredibly important. But part

945
00:45:12,320 --> 00:45:16,080
Speaker 1: of why you see this overall trajectory of people saying

946
00:45:16,360 --> 00:45:19,200
Speaker 1: we're on the wrong path, of people saying the American

947
00:45:19,320 --> 00:45:22,560
Speaker 1: dream is no longer reality, of young people feeling so

948
00:45:22,680 --> 00:45:25,520
Speaker 1: depressed about the current stage with their lives and their

949
00:45:25,520 --> 00:45:30,520
Speaker 1: possibility for the future, is that long term massive price

950
00:45:30,600 --> 00:45:36,600
Speaker 1: spike in education, healthcare, and housing that has made life

951
00:45:36,920 --> 00:45:39,840
Speaker 1: so much more precarious for younger generations.

952
00:45:39,920 --> 00:45:42,160
Speaker 3: Yeah, so again, I mean just to be sixty second.

953
00:45:42,239 --> 00:45:45,759
Speaker 2: Some of the countries that beat us our Guatemala, Bulgaria,

954
00:45:45,800 --> 00:45:48,480
Speaker 2: and Saudi Arabia, which is pretty crazy, especially Saudi Arabia,

955
00:45:48,480 --> 00:45:50,040
Speaker 2: because if you're a female in Saudi Arabia, you don't

956
00:45:50,040 --> 00:45:52,480
Speaker 2: even have any rights and it's like you're happier than

957
00:45:52,520 --> 00:45:54,080
Speaker 2: people are here in America.

958
00:45:54,120 --> 00:45:55,279
Speaker 3: That doesn't sound right.

959
00:45:55,760 --> 00:45:58,960
Speaker 2: Well, look what we can glean from this is that

960
00:45:59,080 --> 00:46:01,880
Speaker 2: I think almost all that comes back to housing, and

961
00:46:02,120 --> 00:46:03,880
Speaker 2: that is one of those just because housing is the

962
00:46:03,880 --> 00:46:05,640
Speaker 2: biggest expense you're going to make in your entire life.

963
00:46:05,680 --> 00:46:07,400
Speaker 2: So if you're not able to make that, you're going

964
00:46:07,440 --> 00:46:11,360
Speaker 2: to do well well, yes, whenever, So housing and healthcare,

965
00:46:11,719 --> 00:46:13,960
Speaker 2: I guess housing because it's the biggest upfront costs you're

966
00:46:13,960 --> 00:46:15,359
Speaker 2: going to make in your entire life, right in terms

967
00:46:15,400 --> 00:46:18,040
Speaker 2: of the largest purchase. Unable to say for that. That

968
00:46:18,160 --> 00:46:21,520
Speaker 2: is what delays marriage people having kids. America is one

969
00:46:21,520 --> 00:46:23,760
Speaker 2: of the very few countries in the world where people

970
00:46:23,840 --> 00:46:27,600
Speaker 2: report having to having wanting more children than they're able

971
00:46:27,640 --> 00:46:30,480
Speaker 2: to afford. In some countries like Japan and others, it's

972
00:46:30,520 --> 00:46:32,200
Speaker 2: not like that they don't have the money to have kids.

973
00:46:32,239 --> 00:46:34,760
Speaker 2: They just genuinely don't want to have children. But America

974
00:46:34,800 --> 00:46:37,200
Speaker 2: is one of those places where people want to have

975
00:46:37,280 --> 00:46:39,920
Speaker 2: two point two between two point five kids, which is

976
00:46:39,960 --> 00:46:42,520
Speaker 2: replacement rate, and so they just simply can't afford it.

977
00:46:42,600 --> 00:46:45,040
Speaker 2: And we just read everybody the numbers there, and they

978
00:46:45,040 --> 00:46:47,279
Speaker 2: feel it would be irresponsible or they wouldn't be able

979
00:46:47,280 --> 00:46:49,359
Speaker 2: to have a reasonable quality of life if they were

980
00:46:49,400 --> 00:46:51,680
Speaker 2: able to do so. I've always found that very very

981
00:46:51,680 --> 00:46:53,960
Speaker 2: sad statistic, because it's one of those where that's the

982
00:46:54,000 --> 00:46:55,920
Speaker 2: exact reason why people are supposed to work hard. It's

983
00:46:55,960 --> 00:46:58,040
Speaker 2: not supposed to can have nice cars or whatever. It's

984
00:46:58,040 --> 00:47:01,000
Speaker 2: supposed to you know, be able to raise kids, have family.

985
00:47:01,120 --> 00:47:03,240
Speaker 2: That's largely where you're going to derive the vast majority

986
00:47:03,280 --> 00:47:04,680
Speaker 2: of happiness in your life.

987
00:47:04,719 --> 00:47:07,480
Speaker 3: And there's reams of data to back all of that up.

988
00:47:07,680 --> 00:47:10,480
Speaker 2: The problem that we can see inside of this is

989
00:47:10,960 --> 00:47:13,920
Speaker 2: both from the very very early level, and this is

990
00:47:13,960 --> 00:47:16,720
Speaker 2: where I'm curious too, what you Yeah, everyone keeps blaming

991
00:47:16,760 --> 00:47:19,319
Speaker 2: social media, but I'm like, you know, I just think

992
00:47:19,360 --> 00:47:22,920
Speaker 2: social media is a reflection of what people accurately feel.

993
00:47:22,960 --> 00:47:25,799
Speaker 2: It's not TikTok, Instagram reels and other things that go

994
00:47:25,920 --> 00:47:29,880
Speaker 2: viral about people being unable to afford life. That's not

995
00:47:30,040 --> 00:47:32,640
Speaker 2: a fake circumstance, like in my opinion, It goes viral

996
00:47:32,680 --> 00:47:37,840
Speaker 2: and it gets shared because people can resonate with the

997
00:47:37,840 --> 00:47:40,799
Speaker 2: themes and you know kind of what people are talking about.

998
00:47:40,920 --> 00:47:42,879
Speaker 2: There's a big debate right now as to whether it's

999
00:47:43,040 --> 00:47:45,920
Speaker 2: causal in terms of social media, but I still genuinely

1000
00:47:45,920 --> 00:47:48,200
Speaker 2: believe that it's very just reflective of what the actual

1001
00:47:48,200 --> 00:47:49,080
Speaker 2: living conditions are.

1002
00:47:49,200 --> 00:47:51,640
Speaker 1: I mean, when you look at the fact that young

1003
00:47:51,680 --> 00:47:55,239
Speaker 1: people around the world have social media yea all seeing

1004
00:47:55,239 --> 00:47:58,839
Speaker 1: this precipitous decline and how they feel about, you know,

1005
00:47:58,960 --> 00:48:02,360
Speaker 1: their life and level of happiness, I think is you know,

1006
00:48:02,719 --> 00:48:06,319
Speaker 1: pretty decent proof in your interaction. I mean, I would

1007
00:48:06,360 --> 00:48:09,440
Speaker 1: be remiss if I didn't point out that consistently places

1008
00:48:09,480 --> 00:48:13,600
Speaker 1: like Finland, the other Nordic countries, you know, Denmark, Iceland

1009
00:48:13,719 --> 00:48:16,120
Speaker 1: is another one that does well on these happiness rankings.

1010
00:48:16,160 --> 00:48:18,480
Speaker 1: These are all social democracies where things like you're not

1011
00:48:18,520 --> 00:48:20,040
Speaker 1: going to be paying a million bucks over the course

1012
00:48:20,080 --> 00:48:21,880
Speaker 1: of your lifetime for health insurance. You're going to have

1013
00:48:21,960 --> 00:48:24,920
Speaker 1: healthcare universally, it's not going to be something that you

1014
00:48:25,200 --> 00:48:28,640
Speaker 1: worry about. They have more of a solid social safety net.

1015
00:48:29,120 --> 00:48:31,960
Speaker 1: We're subsidies in terms of you know, housing, making housing

1016
00:48:32,000 --> 00:48:34,359
Speaker 1: more affordable, and paying more attention to that as well.

1017
00:48:34,480 --> 00:48:36,560
Speaker 1: So I don't think it's an accident that those are

1018
00:48:36,600 --> 00:48:40,080
Speaker 1: consistently the places where people self report the highest levels

1019
00:48:40,160 --> 00:48:43,000
Speaker 1: of happiness. I also think we'd be remiss if we

1020
00:48:43,040 --> 00:48:47,319
Speaker 1: didn't point out that part of this catastrophic decline for

1021
00:48:47,520 --> 00:48:51,320
Speaker 1: young people and self reparded happiness also coincides with COVID,

1022
00:48:51,520 --> 00:48:55,120
Speaker 1: and you know, we know that that had a tremendous

1023
00:48:55,160 --> 00:48:59,759
Speaker 1: impact on levels of anxiety and overall mental health for

1024
00:49:00,239 --> 00:49:03,799
Speaker 1: young Americans. So you know, I don't think that I

1025
00:49:03,800 --> 00:49:06,319
Speaker 1: don't think we can ignore that piece as well, even

1026
00:49:06,400 --> 00:49:08,640
Speaker 1: as I do think that these long term economic trends

1027
00:49:08,680 --> 00:49:11,520
Speaker 1: are incredibly significant in terms of how people feel about

1028
00:49:11,520 --> 00:49:13,080
Speaker 1: the direction of their own lives in the direction of

1029
00:49:13,080 --> 00:49:13,480
Speaker 1: the country.

1030
00:49:13,560 --> 00:49:13,759
Speaker 8: Yeah.

1031
00:49:13,760 --> 00:49:15,360
Speaker 2: No, that's how a good point. I hadn't thought about that.

1032
00:49:15,440 --> 00:49:17,200
Speaker 2: I think you're absolutely right. Okay, this is the only

1033
00:49:17,239 --> 00:49:19,640
Speaker 2: thing about Finland. I've been in Finland, Man, Finland is

1034
00:49:19,960 --> 00:49:23,560
Speaker 2: dark as hell. People there are not smiling. I'm just

1035
00:49:23,680 --> 00:49:26,680
Speaker 2: not sure I buy it. Like, maybe they self report happiness,

1036
00:49:26,719 --> 00:49:30,480
Speaker 2: but from having traveled all the Nordic countries. These are

1037
00:49:30,520 --> 00:49:32,880
Speaker 2: some of the most like closed off folks that you

1038
00:49:32,880 --> 00:49:35,440
Speaker 2: will ever see in your entire life. They even they

1039
00:49:35,520 --> 00:49:37,719
Speaker 2: joke about it about how Americans are too smiley and

1040
00:49:37,719 --> 00:49:39,719
Speaker 2: they talk all the time, and so I'm like, are

1041
00:49:39,719 --> 00:49:42,120
Speaker 2: you guys really that happy? Like, be honest, lave us

1042
00:49:42,120 --> 00:49:44,000
Speaker 2: in the comments. Also, the food, let's all be real,

1043
00:49:44,040 --> 00:49:45,839
Speaker 2: there's not a scrap of flavor in any of the food.

1044
00:49:45,880 --> 00:49:49,960
Speaker 1: That's the power of social democracy. What overcome bad food,

1045
00:49:50,239 --> 00:49:52,400
Speaker 1: oh terrible climate.

1046
00:49:52,080 --> 00:49:54,840
Speaker 3: Botten fish, goulash all day long in.

1047
00:49:54,840 --> 00:49:57,600
Speaker 1: The winter, That's how powerful social democracy is.

1048
00:49:57,680 --> 00:50:01,279
Speaker 2: At no I would say there is some argument about

1049
00:50:01,280 --> 00:50:03,040
Speaker 2: that though, Chrysal about whether we could even have So,

1050
00:50:03,120 --> 00:50:05,520
Speaker 2: I mean, this is a more important question kind.

1051
00:50:05,360 --> 00:50:06,480
Speaker 3: Of relates back to immigration.

1052
00:50:06,719 --> 00:50:10,239
Speaker 2: But you know, these are very highly homogenous societies where look,

1053
00:50:10,239 --> 00:50:11,920
Speaker 2: what are the real differences when you all look the

1054
00:50:11,920 --> 00:50:13,000
Speaker 2: same talk the same language.

1055
00:50:13,000 --> 00:50:15,560
Speaker 3: You have very very low levels of immigration in.

1056
00:50:15,600 --> 00:50:18,680
Speaker 2: Terms of their tax and capital, in terms of their

1057
00:50:19,120 --> 00:50:22,200
Speaker 2: innovation and all that. What's the last thing Finland really invented.

1058
00:50:22,239 --> 00:50:24,680
Speaker 2: So I'm not going to put it down and say

1059
00:50:24,719 --> 00:50:27,480
Speaker 2: that that's not a worthy model. The question is, can

1060
00:50:27,520 --> 00:50:31,320
Speaker 2: it ever actually succeed in a country of three hundred

1061
00:50:31,640 --> 00:50:32,799
Speaker 2: thirty million.

1062
00:50:32,719 --> 00:50:35,520
Speaker 1: Because we have social security. It's one of the most

1063
00:50:35,680 --> 00:50:39,080
Speaker 1: it is one of the most successful and popular universal

1064
00:50:39,080 --> 00:50:42,440
Speaker 1: social safety net programs in history. And I would argue

1065
00:50:42,600 --> 00:50:49,000
Speaker 1: the exact counter that when you have the level of rapacious, predatory,

1066
00:50:49,560 --> 00:50:54,920
Speaker 1: state captured capitalism that creates this zero sum seeming game

1067
00:50:55,440 --> 00:50:59,759
Speaker 1: and high stakes, that's exactly what exacerbates and opens up

1068
00:50:59,760 --> 00:51:06,280
Speaker 1: an opportunity for unscrupulous, self serving politicians to stoke these divides,

1069
00:51:06,640 --> 00:51:09,720
Speaker 1: where if you have a social safety net where people

1070
00:51:10,000 --> 00:51:14,200
Speaker 1: feel more secure and more stable, then they're less susceptible

1071
00:51:14,239 --> 00:51:17,399
Speaker 1: to those type of divide and conquer tactics which are

1072
00:51:17,440 --> 00:51:20,800
Speaker 1: so effective and so ever present in terms of our politics.

1073
00:51:20,800 --> 00:51:22,840
Speaker 2: I don't even disagree. It's more just a question of

1074
00:51:22,920 --> 00:51:25,280
Speaker 2: like what is America like? For example, the largest company

1075
00:51:25,280 --> 00:51:27,480
Speaker 2: in Finland by market cap is like forty two billion.

1076
00:51:27,560 --> 00:51:30,680
Speaker 3: Like that's a freaking joke, Like this.

1077
00:51:30,560 --> 00:51:33,400
Speaker 1: Is not a country's because they have free healthcare.

1078
00:51:33,560 --> 00:51:35,480
Speaker 2: No, I have no idea why. I don't even think

1079
00:51:35,520 --> 00:51:37,400
Speaker 2: it's necessarily because they have free healthcare. There's a lot

1080
00:51:37,440 --> 00:51:40,360
Speaker 2: of crappy European countries that also have very very little business.

1081
00:51:40,719 --> 00:51:43,960
Speaker 2: My only question is about America is a very dynamic country.

1082
00:51:44,040 --> 00:51:47,440
Speaker 2: Make a lot of money here. People like entrepreneurialism. It's

1083
00:51:47,480 --> 00:51:50,000
Speaker 2: a huge country. There's three hundred and thirty million people,

1084
00:51:50,000 --> 00:51:52,720
Speaker 2: people from all over the world. We have very different ideas,

1085
00:51:52,760 --> 00:51:55,040
Speaker 2: we have very you know, finished politics. I'm not one

1086
00:51:55,120 --> 00:51:57,760
Speaker 2: hundred percent familiar, but as I understand it in general,

1087
00:51:57,800 --> 00:51:59,560
Speaker 2: the way that ours functions and the way that we

1088
00:51:59,640 --> 00:52:02,040
Speaker 2: kind of go at it like that, it doesn't really

1089
00:52:02,080 --> 00:52:04,520
Speaker 2: exist in the same way in a lot of these places.

1090
00:52:04,560 --> 00:52:07,000
Speaker 2: I don't know though, whether that's because of our economics

1091
00:52:07,080 --> 00:52:10,160
Speaker 2: or not. Right so, even in times of high economic prosperity.

1092
00:52:10,360 --> 00:52:14,520
Speaker 2: I was looking this fascinating graph. The top earning cities

1093
00:52:14,520 --> 00:52:18,480
Speaker 2: in America in nineteen forty nine were like Cleveland, Detroit.

1094
00:52:18,520 --> 00:52:22,000
Speaker 2: It was all in the American heartland from industrial manufacturing

1095
00:52:22,000 --> 00:52:24,360
Speaker 2: from the post World War two era, and I was

1096
00:52:24,360 --> 00:52:27,480
Speaker 2: thinking about how different of a country it was whenever

1097
00:52:27,520 --> 00:52:30,040
Speaker 2: the richest people in America were also the people who

1098
00:52:30,080 --> 00:52:33,239
Speaker 2: actually produced stuff. This is all just kind of me

1099
00:52:33,680 --> 00:52:35,719
Speaker 2: trying to wrap my head around whether any of this

1100
00:52:35,920 --> 00:52:37,520
Speaker 2: is even possible in America.

1101
00:52:37,640 --> 00:52:37,759
Speaker 8: Like that.

1102
00:52:38,080 --> 00:52:40,520
Speaker 3: I lived in Denmark. It's a tiny ass little country.

1103
00:52:40,640 --> 00:52:42,160
Speaker 3: They don't have a lot of people there, I.

1104
00:52:42,200 --> 00:52:44,400
Speaker 1: Mean, but also ignorre in the fact that like the

1105
00:52:44,480 --> 00:52:47,520
Speaker 1: time period in American history when probably we had the

1106
00:52:47,600 --> 00:52:51,960
Speaker 1: highest levels of self reported happiness was during the New

1107
00:52:52,040 --> 00:52:55,000
Speaker 1: Deal and when you had you know, and partly this

1108
00:52:55,160 --> 00:52:57,880
Speaker 1: was just because of post World War two global circumstances

1109
00:52:57,920 --> 00:53:00,600
Speaker 1: that we overwhelmingly benefited from. But you had a middle

1110
00:53:00,600 --> 00:53:04,520
Speaker 1: class that was expanded, expanding, you had people who felt

1111
00:53:04,560 --> 00:53:07,520
Speaker 1: like they were able to, you know, achieve the American dream,

1112
00:53:07,640 --> 00:53:09,600
Speaker 1: and this idea of we're able to work hard and

1113
00:53:09,600 --> 00:53:14,200
Speaker 1: we're able to get ahead was more present and seemed

1114
00:53:14,280 --> 00:53:16,960
Speaker 1: more realistic. And you know, the numbers in terms of

1115
00:53:17,000 --> 00:53:18,880
Speaker 1: the cost of housing then versus now, the cost of

1116
00:53:18,880 --> 00:53:21,920
Speaker 1: healthcare then versus now, the cost of education then versus

1117
00:53:21,920 --> 00:53:24,399
Speaker 1: now also bear that out, not to mention the way

1118
00:53:24,440 --> 00:53:28,640
Speaker 1: that wages have not even come close to keeping up

1119
00:53:29,000 --> 00:53:34,000
Speaker 1: with the increased productivity of the American worker. So you know,

1120
00:53:34,200 --> 00:53:36,480
Speaker 1: of course we can. That's why I'm not advocating. You're

1121
00:53:36,520 --> 00:53:39,080
Speaker 1: right that there's a balance, right, you don't want to

1122
00:53:39,120 --> 00:53:43,480
Speaker 1: lose that creative spark and that innovation that at its best,

1123
00:53:43,600 --> 00:53:46,360
Speaker 1: we all, you know, have so much pride in as Americans.

1124
00:53:46,360 --> 00:53:47,759
Speaker 1: You don't want to lose that. That's why I'm not

1125
00:53:47,840 --> 00:53:52,000
Speaker 1: like out here asking for communists. That's why I think

1126
00:53:52,040 --> 00:53:55,840
Speaker 1: social democracy is, you know, has proven to be a

1127
00:53:55,880 --> 00:53:59,680
Speaker 1: good balance of some of those competing priorities of making

1128
00:53:59,680 --> 00:54:02,759
Speaker 1: sure our everybody's good, especially in a wealthy, prosperous society,

1129
00:54:03,120 --> 00:54:07,640
Speaker 1: but also allowing for innovation, creativity, and that like you know,

1130
00:54:07,840 --> 00:54:10,400
Speaker 1: fruitful hum that we again at our best get here

1131
00:54:10,400 --> 00:54:10,760
Speaker 1: in Amaya.

1132
00:54:10,760 --> 00:54:11,080
Speaker 3: That's her.

1133
00:54:11,200 --> 00:54:13,240
Speaker 2: One thing we should steal from the Fins is sauna.

1134
00:54:13,680 --> 00:54:19,239
Speaker 2: Finished saunas are awesome. I hate oh man, no, hey, everybody, anyway.

1135
00:54:19,680 --> 00:54:22,400
Speaker 1: I listen. I'm a sweaty person to start with. I

1136
00:54:22,440 --> 00:54:24,840
Speaker 1: don't need a frickingsonna. That's like my worst nightmare.

1137
00:54:24,920 --> 00:54:26,480
Speaker 3: So no, but the Finish model is great.

1138
00:54:26,600 --> 00:54:28,160
Speaker 2: So you get hot and you get cold, you get

1139
00:54:28,160 --> 00:54:29,120
Speaker 2: hot and you get cold again.

1140
00:54:29,680 --> 00:54:31,640
Speaker 3: It's a lot of fun. If you ever go to Finland,

1141
00:54:31,640 --> 00:54:32,720
Speaker 3: I highly recommend Fins.

1142
00:54:32,760 --> 00:54:34,439
Speaker 1: You can keep that, you can keep that out part

1143
00:54:34,440 --> 00:54:35,080
Speaker 1: to yourself.

1144
00:54:37,640 --> 00:54:40,440
Speaker 2: At the same time, yesterday there was a major hearing

1145
00:54:40,560 --> 00:54:44,200
Speaker 2: here in Washington about the Biden impeachment, and it pretty

1146
00:54:44,239 --> 00:54:47,160
Speaker 2: much went off the rails in every respect that you

1147
00:54:47,160 --> 00:54:50,560
Speaker 2: can possibly imagine the Democratic side on the Republican side,

1148
00:54:50,719 --> 00:54:52,480
Speaker 2: some of the things that we did not learn, but

1149
00:54:52,520 --> 00:54:54,320
Speaker 2: there were at least some good sound bites that we

1150
00:54:54,360 --> 00:54:57,759
Speaker 2: could show you. First and foremost was Tony Bobolinski, the

1151
00:54:57,800 --> 00:55:01,840
Speaker 2: infamous Hunter Biden business is so see it testifying sparring

1152
00:55:01,920 --> 00:55:04,279
Speaker 2: with some of the members of Congress on the Democratic side.

1153
00:55:04,440 --> 00:55:05,600
Speaker 3: Let's take a listen at.

1154
00:55:05,440 --> 00:55:08,920
Speaker 9: The same people preaching this mantra know better they continue

1155
00:55:08,960 --> 00:55:12,800
Speaker 9: to lie directly to the American people without hesitation and remorse.

1156
00:55:14,480 --> 00:55:14,719
Speaker 3: Rep.

1157
00:55:14,840 --> 00:55:19,080
Speaker 9: Dan Goldman and Jamie Rasking, both lawyers, and mister Goldman,

1158
00:55:19,080 --> 00:55:21,720
Speaker 9: a former prosecutor with the SDN Y from New York,

1159
00:55:22,080 --> 00:55:24,160
Speaker 9: will continue to lie today in this yearing and then

1160
00:55:24,200 --> 00:55:27,319
Speaker 9: go straight to the media to tell more lies. Hunter

1161
00:55:27,360 --> 00:55:31,120
Speaker 9: Biden's defense attorney, Abbey Loll, weaponizes letters to Congress to

1162
00:55:31,200 --> 00:55:35,320
Speaker 9: try to smear my name, mister Chairman, the cold art facts,

1163
00:55:35,520 --> 00:55:38,440
Speaker 9: Miss Chairman. In an attempt to save his powerfully connected

1164
00:55:38,480 --> 00:55:42,000
Speaker 9: client and his father. I challenged mister Lowell to make

1165
00:55:42,040 --> 00:55:44,799
Speaker 9: those claims on national television so he can be held

1166
00:55:44,800 --> 00:55:46,000
Speaker 9: accountable for his lies.

1167
00:55:46,320 --> 00:55:51,400
Speaker 10: God order uh, mister Bobski, mister Boblisky, please proceed place, proceed,

1168
00:55:51,440 --> 00:55:53,640
Speaker 10: apologize for the disruption from the minority.

1169
00:55:53,719 --> 00:55:56,960
Speaker 11: Okay, well me and mister chairman save his time. But

1170
00:55:57,440 --> 00:55:59,360
Speaker 11: he called members of this committee liars. And I just

1171
00:55:59,400 --> 00:56:01,920
Speaker 11: want to know whether the order and decorum requirements of

1172
00:56:01,920 --> 00:56:05,640
Speaker 11: House Rule eleven apply to witnesses appearing before the committee.

1173
00:56:08,400 --> 00:56:09,759
Speaker 11: Does it apply or does it not?

1174
00:56:14,719 --> 00:56:17,560
Speaker 10: There's decorum from the members We've asked for that. There's

1175
00:56:17,600 --> 00:56:20,200
Speaker 10: no language that I'm aware of pretending to a witness.

1176
00:56:20,280 --> 00:56:20,560
Speaker 8: Thank you.

1177
00:56:20,800 --> 00:56:23,520
Speaker 3: That was a good taste, Crystal what the whole day

1178
00:56:23,640 --> 00:56:26,360
Speaker 3: was like. But look, listen, Bubba Liskey.

1179
00:56:26,400 --> 00:56:29,080
Speaker 2: We've known about him since what twenty twenty he did

1180
00:56:29,120 --> 00:56:31,760
Speaker 2: the Tucker Cross an interview back in Fox if everybody

1181
00:56:31,800 --> 00:56:34,320
Speaker 2: wants to remember, his claims have been wide out there

1182
00:56:34,560 --> 00:56:36,759
Speaker 2: to see. This is part of the problem with this

1183
00:56:37,040 --> 00:56:41,040
Speaker 2: overall hearing is almost all the information has been publicly

1184
00:56:41,080 --> 00:56:43,839
Speaker 2: available now for two years. And I'm not saying it's

1185
00:56:43,840 --> 00:56:46,279
Speaker 2: not even important, but they have not been able to

1186
00:56:46,360 --> 00:56:50,160
Speaker 2: prove from there and a smoking gun of a monetary

1187
00:56:50,160 --> 00:56:53,160
Speaker 2: connection between Hunter Biden and between Joe Biden, even with

1188
00:56:53,160 --> 00:56:55,319
Speaker 2: the subpoena power and all the others that have come

1189
00:56:55,360 --> 00:56:57,440
Speaker 2: to light. The best that they have been able to

1190
00:56:57,480 --> 00:57:00,640
Speaker 2: find are the irs whistleblowers that came forward that's resulted

1191
00:57:00,680 --> 00:57:03,279
Speaker 2: in tax investigation against Hunter, but they have not been

1192
00:57:03,320 --> 00:57:05,719
Speaker 2: able to put a name on a single wire transfer.

1193
00:57:05,840 --> 00:57:07,520
Speaker 2: I mean, Crystal we were talking about, I mean in

1194
00:57:07,560 --> 00:57:10,920
Speaker 2: a certain sense too. Look, the information is there. Hunter

1195
00:57:11,200 --> 00:57:15,359
Speaker 2: is blatantly and outrageously corrupt. He benefited off of his

1196
00:57:15,400 --> 00:57:18,200
Speaker 2: father's name. Whether his dad profited or not, it's not

1197
00:57:18,240 --> 00:57:20,640
Speaker 2: one hundred percent certain. He definitely knew about it, and

1198
00:57:20,680 --> 00:57:23,520
Speaker 2: he definitely lied about some of his previous interactions.

1199
00:57:23,560 --> 00:57:25,120
Speaker 3: That seems to be the best that we're going to

1200
00:57:25,160 --> 00:57:25,640
Speaker 3: get out of this.

1201
00:57:25,840 --> 00:57:26,080
Speaker 8: Yeah.

1202
00:57:26,160 --> 00:57:28,160
Speaker 1: The other witness, by the way, was some dude who's

1203
00:57:28,320 --> 00:57:31,439
Speaker 1: serving time in Alabama prison for securities frauds. So that's

1204
00:57:31,520 --> 00:57:36,840
Speaker 1: what live honest was No. Jason galanis another former associate

1205
00:57:36,840 --> 00:57:39,560
Speaker 1: of Hunter Biden, you know, gives you a sense of

1206
00:57:39,560 --> 00:57:42,640
Speaker 1: the type of characters he was doing business with, which.

1207
00:57:42,440 --> 00:57:44,280
Speaker 3: Is bad as well. It's definitely bad.

1208
00:57:44,160 --> 00:57:46,800
Speaker 1: Which is that. I mean, Look, there's a lot going

1209
00:57:46,840 --> 00:57:50,400
Speaker 1: on here. No one would welcome a genuine investigation into

1210
00:57:50,520 --> 00:57:53,120
Speaker 1: corruption that goes across, you know, on both sides of

1211
00:57:53,120 --> 00:57:56,800
Speaker 1: the aisle, more than myself. I entirely welcome the notion

1212
00:57:56,960 --> 00:58:01,480
Speaker 1: of taking serious the idea of corruption, even if because

1213
00:58:01,480 --> 00:58:04,840
Speaker 1: the Supreme Court has ruled that actual illegal corruption is

1214
00:58:04,880 --> 00:58:08,040
Speaker 1: so incredibly narrow, even if it doesn't meet that standard,

1215
00:58:08,680 --> 00:58:11,240
Speaker 1: it doesn't mean that we shouldn't know and care about

1216
00:58:11,600 --> 00:58:14,360
Speaker 1: the fact that Hunter Biden and James Biden these other

1217
00:58:14,440 --> 00:58:17,440
Speaker 1: characters were trading on the Biden name and basically, you know,

1218
00:58:17,560 --> 00:58:20,960
Speaker 1: promising Joe Biden access and giving Joe Biden access in

1219
00:58:21,040 --> 00:58:24,680
Speaker 1: certain documented instances doesn't mean we shouldn't care about it.

1220
00:58:25,040 --> 00:58:27,000
Speaker 1: But a couple of things have happened here. I mean,

1221
00:58:27,040 --> 00:58:30,000
Speaker 1: first of all, the Republicans are always completely hypocrites because

1222
00:58:30,040 --> 00:58:32,720
Speaker 1: they don't care when it's Jared Kushner and Trump, or

1223
00:58:32,760 --> 00:58:35,760
Speaker 1: Trump and live golf for these other entanglements, or taking

1224
00:58:35,800 --> 00:58:37,720
Speaker 1: money into his hotel or whatever. They don't give a shit.

1225
00:58:37,880 --> 00:58:41,760
Speaker 1: So they're obviously hypocritical, and so they their claims don't

1226
00:58:41,800 --> 00:58:46,320
Speaker 1: have a lot of They don't feel particularly weighty when

1227
00:58:46,320 --> 00:58:50,400
Speaker 1: the hypocrisy is so blatant. That's number one. Number two,

1228
00:58:51,360 --> 00:58:56,680
Speaker 1: because they made such extraordinary and unproven claims about Joe

1229
00:58:56,680 --> 00:59:01,760
Speaker 1: Biden directly getting cash that have never born out, they

1230
00:59:01,800 --> 00:59:04,800
Speaker 1: set the bar extremely high for themselves, and you know,

1231
00:59:04,920 --> 00:59:07,520
Speaker 1: even I think, by their own standards, are completely failing

1232
00:59:07,560 --> 00:59:10,760
Speaker 1: to meet that bar. Another thing that I would say

1233
00:59:10,800 --> 00:59:14,680
Speaker 1: here is, you know, I perhaps it would be a

1234
00:59:14,680 --> 00:59:18,040
Speaker 1: better world if this was the number one public concern

1235
00:59:18,200 --> 00:59:23,040
Speaker 1: about Joe Biden. But this isn't even the top issue.

1236
00:59:23,080 --> 00:59:26,520
Speaker 1: That if Republicans are just looking at political gain to

1237
00:59:26,640 --> 00:59:28,720
Speaker 1: press means of you Joe Biden, like, you know what

1238
00:59:28,760 --> 00:59:31,720
Speaker 1: the problems are. You know that the biggest one of

1239
00:59:31,760 --> 00:59:33,880
Speaker 1: them is just that people feel like he's too freaking

1240
00:59:33,960 --> 00:59:36,560
Speaker 1: old and they're not sure that he can handle another

1241
00:59:36,600 --> 00:59:39,760
Speaker 1: four years. They're not really buying the idea that he's

1242
00:59:39,880 --> 00:59:44,560
Speaker 1: the head of some elaborate, corrupt crime family. And it

1243
00:59:44,640 --> 00:59:47,280
Speaker 1: is a little dissonant with the other messaging about him

1244
00:59:47,280 --> 00:59:49,760
Speaker 1: being too old and too infirm, which I think lands

1245
00:59:49,800 --> 00:59:52,680
Speaker 1: more with what people are experiencing and their biggest concerns

1246
00:59:52,680 --> 00:59:54,960
Speaker 1: about Joe Biden. At this point, Let's just say if

1247
00:59:54,960 --> 00:59:57,880
Speaker 1: corruption was the number one issue in this campaign, I'm

1248
00:59:57,880 --> 00:59:59,800
Speaker 1: not sure that would go well for Donald Trump either.

1249
01:00:01,000 --> 01:00:03,000
Speaker 1: In addition to you know, all the rest of what

1250
01:00:03,040 --> 01:00:04,880
Speaker 1: I've laid out here, so it is kind of farcical.

1251
01:00:04,920 --> 01:00:06,600
Speaker 1: I mean, I think, sorry you to tell me because

1252
01:00:06,600 --> 01:00:08,320
Speaker 1: you're more in touch with this. It seems like even

1253
01:00:08,360 --> 01:00:11,000
Speaker 1: the Republican base is kind of frustrated with the lack

1254
01:00:11,040 --> 01:00:13,160
Speaker 1: of their there in terms of these hearings and their

1255
01:00:13,240 --> 01:00:16,720
Speaker 1: lack of inability to actually directly prove those links and

1256
01:00:16,800 --> 01:00:20,040
Speaker 1: find that smoking gun given what was promised to them

1257
01:00:20,040 --> 01:00:20,720
Speaker 1: at the beginning of it.

1258
01:00:20,800 --> 01:00:22,440
Speaker 2: Well, I can play this out of order, guys, if

1259
01:00:22,480 --> 01:00:23,960
Speaker 2: we could go ahead and play D three, that kind

1260
01:00:24,000 --> 01:00:25,640
Speaker 2: of hits home what you're talking about. This is a

1261
01:00:25,760 --> 01:00:29,120
Speaker 2: Newsmax host who's getting very upset with Jim Jordan being like, hey, guys,

1262
01:00:29,360 --> 01:00:30,840
Speaker 2: when is this actually going to go somewhere.

1263
01:00:30,880 --> 01:00:31,560
Speaker 3: Let's take a listen.

1264
01:00:31,720 --> 01:00:33,760
Speaker 12: Is impeachment the next step or are you going to

1265
01:00:33,800 --> 01:00:35,880
Speaker 12: hold a vote on the House floor. I know it's

1266
01:00:35,960 --> 01:00:38,960
Speaker 12: up to Mike Johnson, but the Margins congressman you lost,

1267
01:00:39,040 --> 01:00:42,920
Speaker 12: Kevin McCarthy, ken Buck left last week, George Santos was ousted.

1268
01:00:43,280 --> 01:00:45,960
Speaker 12: Unless you get Democratic votes, this is going to be

1269
01:00:46,080 --> 01:00:49,000
Speaker 12: real tough. So it kind of seems like you're chasing

1270
01:00:49,000 --> 01:00:51,160
Speaker 12: your tail at this point because this is not going

1271
01:00:51,200 --> 01:00:51,920
Speaker 12: to go anywhere.

1272
01:00:52,600 --> 01:00:54,600
Speaker 10: No fair question, and we you know, we got a

1273
01:00:54,640 --> 01:00:57,080
Speaker 10: small majority. Everyone understands that not just on this issue,

1274
01:00:57,080 --> 01:00:59,320
Speaker 10: but on a host of issues. Our job is under

1275
01:00:59,360 --> 01:01:02,040
Speaker 10: the Constitution is to do oversight of the executive branch.

1276
01:01:02,240 --> 01:01:04,240
Speaker 10: We are doing that, We're going to continue to do that.

1277
01:01:04,240 --> 01:01:07,400
Speaker 10: There's no time limit in the Constitution on how long

1278
01:01:07,440 --> 01:01:08,600
Speaker 10: you can do an investigation.

1279
01:01:08,840 --> 01:01:12,000
Speaker 2: So as you can see, the Newsmax host was not

1280
01:01:12,120 --> 01:01:14,520
Speaker 2: very happy there with mister Jordan. He's like, hey, what's

1281
01:01:14,600 --> 01:01:16,680
Speaker 2: actually going on. I do think some of the Republican

1282
01:01:16,720 --> 01:01:18,919
Speaker 2: base feels that way, and this is part of the issue.

1283
01:01:18,920 --> 01:01:21,000
Speaker 3: I do think over promising was a big one.

1284
01:01:21,280 --> 01:01:22,800
Speaker 2: A lot of it comes back to I think a

1285
01:01:22,800 --> 01:01:24,880
Speaker 2: lot of it is just deep frustration that people are

1286
01:01:24,920 --> 01:01:28,240
Speaker 2: not willing to take the Hunter Biden laptop story more seriously.

1287
01:01:28,280 --> 01:01:30,480
Speaker 3: And look, I don't even necessarily disagree.

1288
01:01:30,480 --> 01:01:32,320
Speaker 2: I think it should have gotten its due, you know,

1289
01:01:32,480 --> 01:01:35,360
Speaker 2: at the time, in terms of actually talking about the

1290
01:01:35,400 --> 01:01:37,960
Speaker 2: corruption allegations. But the truth is that this has now

1291
01:01:38,040 --> 01:01:41,120
Speaker 2: been before the American people now for quite some time,

1292
01:01:41,520 --> 01:01:45,360
Speaker 2: and it seems, unfortunately, maybe because of the Trump factor,

1293
01:01:45,480 --> 01:01:47,480
Speaker 2: maybe because they haven't been able to prove a direct

1294
01:01:47,480 --> 01:01:49,680
Speaker 2: thing with Biden, that it has not been able to

1295
01:01:49,680 --> 01:01:53,480
Speaker 2: actually penetrate anything beyond kind of the Fox News ecosystem.

1296
01:01:53,640 --> 01:01:55,800
Speaker 2: On the other side of the coin, though, Crystal is

1297
01:01:56,080 --> 01:01:59,480
Speaker 2: mister Jared Moskowitz. This is a Democratic congressman, and this

1298
01:01:59,520 --> 01:02:02,240
Speaker 2: is a continue strategy, right, is to tie any of

1299
01:02:02,280 --> 01:02:05,640
Speaker 2: these questions into Russigate, into trying to saying that you're

1300
01:02:05,640 --> 01:02:08,480
Speaker 2: some sort of Putin puppet. Here is the Democratic congressman

1301
01:02:08,600 --> 01:02:13,280
Speaker 2: who is donning a Vladimir Putin mask ahead of the hearing,

1302
01:02:13,400 --> 01:02:16,680
Speaker 2: trying to talk to reporters and saying that James Comber,

1303
01:02:16,680 --> 01:02:18,800
Speaker 2: the head of the committee, is in Putin's pocket.

1304
01:02:18,840 --> 01:02:23,040
Speaker 3: Let's take a listen.

1305
01:02:23,320 --> 01:02:25,720
Speaker 13: I just came to James Cohmer.

1306
01:02:25,280 --> 01:02:27,680
Speaker 2: For taking all of our intelligence and using it in

1307
01:02:27,680 --> 01:02:28,240
Speaker 2: the committee.

1308
01:02:28,880 --> 01:02:32,160
Speaker 8: Maybe he can come see the technology in our grocery stores.

1309
01:02:32,200 --> 01:02:33,960
Speaker 3: Thank you for Tosmans against two neighbors.

1310
01:02:34,040 --> 01:02:34,600
Speaker 8: Kind of mature.

1311
01:02:35,720 --> 01:02:38,680
Speaker 2: So he's got the Putin aller reed Max there, I

1312
01:02:38,680 --> 01:02:39,400
Speaker 2: hate everything.

1313
01:02:39,560 --> 01:02:41,240
Speaker 3: It's got to be one of the more humility things.

1314
01:02:41,480 --> 01:02:44,320
Speaker 1: What a healthscapers, What a healthscape of a political system?

1315
01:02:44,360 --> 01:02:47,320
Speaker 1: This is like, how embarrassing? This was why I was

1316
01:02:47,360 --> 01:02:51,280
Speaker 1: so like distraught the idea that Paul Manifort was going

1317
01:02:51,320 --> 01:02:54,120
Speaker 1: to be brought back onto Trump can be because it's

1318
01:02:54,200 --> 01:02:57,160
Speaker 1: just I mean, the russigates. It just never ends. Are

1319
01:02:57,200 --> 01:02:59,920
Speaker 1: you a child wearing a putin mask?

1320
01:03:00,160 --> 01:03:00,760
Speaker 3: What do you do?

1321
01:03:00,840 --> 01:03:03,439
Speaker 1: Even some of the mainstream reporters there were like, isn't

1322
01:03:03,480 --> 01:03:04,480
Speaker 1: this a little immature?

1323
01:03:04,920 --> 01:03:09,440
Speaker 2: Know anything, This is a little immature. I'm like, yeah, definitely. Anyway,

1324
01:03:09,560 --> 01:03:12,080
Speaker 2: So that was the main result. Doesn't seem like it's

1325
01:03:12,120 --> 01:03:14,400
Speaker 2: going to go much further. I know that there's been

1326
01:03:14,440 --> 01:03:18,120
Speaker 2: a vote or whatever on the impeachment investigation, I know

1327
01:03:18,160 --> 01:03:20,040
Speaker 2: within the House of Representatives, but unless they come up

1328
01:03:20,040 --> 01:03:21,760
Speaker 2: with someone soon, this is probably going to be the

1329
01:03:21,800 --> 01:03:23,200
Speaker 2: high water mark of the overall thing.

1330
01:03:25,760 --> 01:03:27,640
Speaker 1: All Right, We've got a lot of developments to get

1331
01:03:27,680 --> 01:03:30,160
Speaker 1: to with regard to Israel, and especially with regards to

1332
01:03:30,640 --> 01:03:34,280
Speaker 1: the Biden administration's response to Israel. So let's put this

1333
01:03:34,320 --> 01:03:37,760
Speaker 1: first piece up on the screen. A report from Haretz

1334
01:03:38,560 --> 01:03:43,040
Speaker 1: that the Biden administration is supposedly split on whether or

1335
01:03:43,120 --> 01:03:47,080
Speaker 1: not to suspend arm sales to Israel ahead of what

1336
01:03:47,120 --> 01:03:51,200
Speaker 1: they're describing as a deadline on Sunday. Now that deadline

1337
01:03:51,280 --> 01:03:55,120
Speaker 1: has to do with this letter that the Biden administration

1338
01:03:55,200 --> 01:04:00,200
Speaker 1: was pressured into requiring Israel to sign certifying that they

1339
01:04:00,200 --> 01:04:02,480
Speaker 1: are going to use these weapons and are using these

1340
01:04:02,520 --> 01:04:06,960
Speaker 1: weapons in accordance with international law, and that they are

1341
01:04:07,000 --> 01:04:10,960
Speaker 1: not blocking humanitarian aid. In other words, that it is

1342
01:04:11,000 --> 01:04:15,520
Speaker 1: actually legal for the US to send to continue these

1343
01:04:15,640 --> 01:04:18,560
Speaker 1: arm sales, because to do so if they are blocking

1344
01:04:18,640 --> 01:04:21,120
Speaker 1: humanitarian aid or if they are not, which we've all

1345
01:04:21,200 --> 01:04:23,040
Speaker 1: seen the reality of what's going on there, if they

1346
01:04:23,040 --> 01:04:26,080
Speaker 1: are not abiding by international law, that is illegal under

1347
01:04:26,120 --> 01:04:30,800
Speaker 1: our own laws. So they sent the letter from Yoav Gland,

1348
01:04:30,840 --> 01:04:33,120
Speaker 1: the Defense Minister of Israel. They sent the letter saying, yes,

1349
01:04:33,120 --> 01:04:35,160
Speaker 1: of course, we're following the law as blah blah blah,

1350
01:04:35,200 --> 01:04:39,200
Speaker 1: and now the US has to certify that that is

1351
01:04:39,320 --> 01:04:41,919
Speaker 1: the case. So let me lead read you a little

1352
01:04:41,960 --> 01:04:45,160
Speaker 1: bit of this report. They say that Secretary of State

1353
01:04:45,200 --> 01:04:49,400
Speaker 1: Anthony Blincoln, who is planning to visit Israel tomorrow, has

1354
01:04:49,480 --> 01:04:54,280
Speaker 1: until Sunday to approve Israel's stance. That stance was delivered

1355
01:04:54,320 --> 01:04:57,400
Speaker 1: earlier this week to the US ambassador in Israel, Jack

1356
01:04:57,520 --> 01:05:01,040
Speaker 1: lou Or. The US will immediately susp and weapons transfers

1357
01:05:01,040 --> 01:05:05,400
Speaker 1: to its close. Ally, we've already had some fallout around

1358
01:05:05,440 --> 01:05:09,440
Speaker 1: the world of other countries that have already suspended weapons

1359
01:05:09,440 --> 01:05:11,480
Speaker 1: shipments in different regards. So we had a group of

1360
01:05:11,560 --> 01:05:14,600
Speaker 1: Danish non governmental organizations that said last week they would

1361
01:05:14,640 --> 01:05:17,280
Speaker 1: sue Denmark in a bid to end that country's arms

1362
01:05:17,360 --> 01:05:20,840
Speaker 1: exports to Israel. They cited concerns about crimes against Palestine civilians.

1363
01:05:21,320 --> 01:05:24,120
Speaker 1: Last month, a Dutch court ordered the Netherlands to stop

1364
01:05:24,160 --> 01:05:26,880
Speaker 1: exporting parts for F thirty five viighter jets to Israel,

1365
01:05:26,960 --> 01:05:30,160
Speaker 1: citing concerns the parts were being used to violate international law.

1366
01:05:30,520 --> 01:05:36,240
Speaker 1: Officials from three State Department bureaus Democracy, Human Rights and Labor, Population,

1367
01:05:36,320 --> 01:05:39,560
Speaker 1: Refugees and Migration, and the Office of Global Criminal Justice,

1368
01:05:39,560 --> 01:05:42,640
Speaker 1: as well as USAID have all accordinated to this report

1369
01:05:42,720 --> 01:05:46,760
Speaker 1: expressed deep skepticism about the idea that Israel is in

1370
01:05:46,800 --> 01:05:51,200
Speaker 1: fact in compliance. Israel's failure to allow surge of humanitarian

1371
01:05:51,200 --> 01:05:54,400
Speaker 1: assistance into Gaza, they say, despite repeated commitments, remain a

1372
01:05:54,480 --> 01:05:58,480
Speaker 1: key driver of pessimism. And they also have an interesting

1373
01:05:58,600 --> 01:06:01,240
Speaker 1: quote here from Schumer that I wanted to take note of.

1374
01:06:01,560 --> 01:06:04,360
Speaker 1: In an interview with The Times, he added that without

1375
01:06:04,640 --> 01:06:07,840
Speaker 1: US support, Israel's future could well be over, which I

1376
01:06:07,880 --> 01:06:11,960
Speaker 1: thought was kind of extraordinary, given you know, Schumer's overwhelming

1377
01:06:12,040 --> 01:06:16,160
Speaker 1: past commitment to the state of Israel. So Sager, I

1378
01:06:16,160 --> 01:06:18,040
Speaker 1: don't know if this is real if there really is

1379
01:06:18,080 --> 01:06:20,400
Speaker 1: a schism here, if there really are people who are

1380
01:06:20,480 --> 01:06:25,200
Speaker 1: at a high level pushing for not certifying Israel's letter

1381
01:06:25,280 --> 01:06:29,080
Speaker 1: and commitment and actually suspending weapons sales. But if they

1382
01:06:29,120 --> 01:06:31,840
Speaker 1: did go in that direction, which again I will believe

1383
01:06:31,840 --> 01:06:34,880
Speaker 1: what I see because we've seen the unconditional support that's

1384
01:06:34,880 --> 01:06:37,400
Speaker 1: been provided thus far. But if they did go in

1385
01:06:37,400 --> 01:06:39,520
Speaker 1: that direction, there's no doubt that would be quite significant.

1386
01:06:39,600 --> 01:06:41,120
Speaker 2: I think what they would do, and this would be

1387
01:06:41,160 --> 01:06:43,880
Speaker 2: the smart play, is you would try to push for

1388
01:06:43,920 --> 01:06:46,520
Speaker 2: a ceasefire, and then you would do it post cease fire,

1389
01:06:46,880 --> 01:06:49,600
Speaker 2: after they don't necessarily need it, perhaps as a pressure

1390
01:06:49,680 --> 01:06:54,600
Speaker 2: valve to try and say that you should not recontinue hostilities.

1391
01:06:54,600 --> 01:06:57,040
Speaker 2: There was an interesting quote you found, Crystal in this

1392
01:06:57,120 --> 01:06:59,200
Speaker 2: mother Jones piece. I was actually really struck by it.

1393
01:06:59,200 --> 01:07:00,960
Speaker 2: If we can put it up there on the screen.

1394
01:07:01,040 --> 01:07:03,720
Speaker 2: It was actually a quote from a retired Israeli major general.

1395
01:07:03,800 --> 01:07:07,400
Speaker 2: It's fuck Bricktel's Mother Jones quote. All of our missiles,

1396
01:07:07,440 --> 01:07:10,560
Speaker 2: the ammunition, the precision guided bombs, all the airplanes and bombs,

1397
01:07:10,640 --> 01:07:13,600
Speaker 2: it's all from the US. The minute they turn off

1398
01:07:13,640 --> 01:07:17,520
Speaker 2: the tap, you can't keep fighting. You have no capability.

1399
01:07:17,600 --> 01:07:20,520
Speaker 2: This is more significant than I had thought, because I

1400
01:07:20,600 --> 01:07:23,960
Speaker 2: had thought that the Israelis had more native capacity than

1401
01:07:23,960 --> 01:07:26,680
Speaker 2: I had understood. But what they lay out is that

1402
01:07:26,920 --> 01:07:30,920
Speaker 2: while the Israelis do have let's say, artillery shells, unguided

1403
01:07:30,920 --> 01:07:33,680
Speaker 2: bombs and all of that, all of their precision munitions

1404
01:07:33,720 --> 01:07:36,440
Speaker 2: actually do come from the US, and that some of

1405
01:07:36,480 --> 01:07:39,520
Speaker 2: these dumb bombs in quote unquote largely their use has

1406
01:07:39,520 --> 01:07:41,920
Speaker 2: come either from running dry and not having yet been

1407
01:07:41,960 --> 01:07:44,760
Speaker 2: replenished by America's I didn't realize that so much of

1408
01:07:44,800 --> 01:07:47,800
Speaker 2: the high tech capacity of the IDF is actually backed

1409
01:07:47,880 --> 01:07:49,240
Speaker 2: by America. I knew it was some, and I knew

1410
01:07:49,280 --> 01:07:51,320
Speaker 2: it was significant, but I didn't say didn't think it

1411
01:07:51,360 --> 01:07:53,400
Speaker 2: was quote all of our missiles, all of the ammunition,

1412
01:07:53,520 --> 01:07:55,440
Speaker 2: all of the bombs, all of the airplanes is all

1413
01:07:55,440 --> 01:07:56,000
Speaker 2: from the US.

1414
01:07:56,160 --> 01:07:59,600
Speaker 1: Yeah. And I mean, so the idea that oh, we

1415
01:07:59,600 --> 01:08:02,480
Speaker 1: can't really Israel's a sovereign country, even if we did

1416
01:08:02,520 --> 01:08:04,800
Speaker 1: cut off weapons shipments, it wouldn't really make that big

1417
01:08:04,800 --> 01:08:07,680
Speaker 1: of a difference. That's just not true. And even if

1418
01:08:07,680 --> 01:08:10,720
Speaker 1: it were true, it still would behoove us to try

1419
01:08:11,200 --> 01:08:14,720
Speaker 1: to put pressure on Israel to end this absolute onslaught

1420
01:08:15,040 --> 01:08:20,040
Speaker 1: that has killed at least thirty thousand Palestinians and has

1421
01:08:20,160 --> 01:08:24,439
Speaker 1: led to overwhelming levels of you know, imminent famine and

1422
01:08:24,640 --> 01:08:28,439
Speaker 1: actual deaths from starvation now in at least about two

1423
01:08:28,520 --> 01:08:33,559
Speaker 1: dozen cases. And so that's what this administration is facing.

1424
01:08:33,560 --> 01:08:35,880
Speaker 1: They were sort of pressured by a group of senators

1425
01:08:36,320 --> 01:08:40,880
Speaker 1: into forcing Israel to issue this certification. And now in

1426
01:08:40,920 --> 01:08:43,879
Speaker 1: the face of we've been getting months, for months reports

1427
01:08:43,920 --> 01:08:47,120
Speaker 1: about you know, potential levels of famine, potential levels of starvation,

1428
01:08:47,240 --> 01:08:49,960
Speaker 1: et cetera. We've just gotten a few more that have

1429
01:08:50,040 --> 01:08:53,280
Speaker 1: gone into specifics about the way that Israel is using

1430
01:08:53,280 --> 01:08:56,240
Speaker 1: starvation as a weapon of war. And we also have

1431
01:08:56,840 --> 01:09:01,040
Speaker 1: the images of young children and babies who are literally

1432
01:09:01,200 --> 01:09:04,439
Speaker 1: starving to death. Now and we've you know, come to

1433
01:09:04,479 --> 01:09:07,599
Speaker 1: this point of pathetic desperation where the US is now

1434
01:09:07,920 --> 01:09:11,120
Speaker 1: air dropping in aid as if into some hostile territory

1435
01:09:11,200 --> 01:09:13,880
Speaker 1: rather than territory that is basically you know, completely run

1436
01:09:13,920 --> 01:09:17,679
Speaker 1: by our supposed ally and floating this boondoggle port situation.

1437
01:09:17,840 --> 01:09:20,400
Speaker 1: More on that in a moment, but you know, it's

1438
01:09:20,439 --> 01:09:22,559
Speaker 1: come to the point where even Sectuary of State Anthony

1439
01:09:22,600 --> 01:09:27,439
Speaker 1: Blincoln has to acknowledge the reality of the starvation that

1440
01:09:27,520 --> 01:09:30,000
Speaker 1: is unfolding on the ground. Take a listen to what

1441
01:09:30,080 --> 01:09:31,680
Speaker 1: he had to say recently.

1442
01:09:31,360 --> 01:09:36,960
Speaker 6: According to the most respected measure of these things, one

1443
01:09:37,040 --> 01:09:41,320
Speaker 6: hundred percent of the population in Gaza is at severe

1444
01:09:41,439 --> 01:09:46,000
Speaker 6: levels of acute food insecurity. That's the first time an

1445
01:09:46,120 --> 01:09:51,880
Speaker 6: entire population has been so classified. We also see again

1446
01:09:52,200 --> 01:09:55,719
Speaker 6: according to in this case the United Nations, one hundred

1447
01:09:55,760 --> 01:10:00,120
Speaker 6: percent the totality of the population is in need of humanatranus.

1448
01:10:00,560 --> 01:10:04,519
Speaker 1: So how, Sagar, do you say something like that one

1449
01:10:04,600 --> 01:10:07,840
Speaker 1: hundred percent of the population Gauzes at severe levels of

1450
01:10:07,880 --> 01:10:12,280
Speaker 1: acute food insecurity. How can you possibly say and acknowledge

1451
01:10:12,840 --> 01:10:16,519
Speaker 1: that reality and then turn around and certify that, oh,

1452
01:10:16,560 --> 01:10:19,720
Speaker 1: Israel is allowing humanitarian aid and Israel's in compliance with

1453
01:10:19,960 --> 01:10:23,160
Speaker 1: our loss. They may well do it. Like I said,

1454
01:10:23,160 --> 01:10:25,040
Speaker 1: I'll believe it when I see it with regards them

1455
01:10:25,080 --> 01:10:29,759
Speaker 1: taking any real action against Israel versus just these rhetorical shifts.

1456
01:10:30,200 --> 01:10:33,040
Speaker 1: But it seems to me that you know, it's very

1457
01:10:33,040 --> 01:10:37,200
Speaker 1: difficult to clean their incompliance with our laws and deserving

1458
01:10:37,240 --> 01:10:40,800
Speaker 1: of these weapons sales when you have an entire population

1459
01:10:40,920 --> 01:10:44,200
Speaker 1: for the first time that is at severe levels of

1460
01:10:44,240 --> 01:10:47,760
Speaker 1: acute food insecurity, and in certain instances actually starving to death.

1461
01:10:47,840 --> 01:10:50,639
Speaker 3: Yeah, it was interesting that this happened with Canada.

1462
01:10:50,680 --> 01:10:52,479
Speaker 2: Let's go and put this up there please on the

1463
01:10:52,600 --> 01:10:56,559
Speaker 2: screen where they say that Canadians will actually be stopping armsale, well,

1464
01:10:56,600 --> 01:11:00,479
Speaker 2: at least consideration. This is from the Foreign Minister. There

1465
01:11:00,520 --> 01:11:03,160
Speaker 2: was actually a non binding motion that had passed through

1466
01:11:03,200 --> 01:11:06,120
Speaker 2: parliament that called on them to do so. Very significant

1467
01:11:06,160 --> 01:11:09,879
Speaker 2: for a couple of reasons. Obviously, Canada is not Western European.

1468
01:11:10,200 --> 01:11:14,000
Speaker 2: Most importantly, though NATO member somebody that, especially with the

1469
01:11:14,000 --> 01:11:18,640
Speaker 2: Trudeau administration, has cooperated pretty significantly with the Biden administration

1470
01:11:18,680 --> 01:11:21,040
Speaker 2: and does demonstrate as well kind of a split in

1471
01:11:21,080 --> 01:11:24,760
Speaker 2: the overall Western posture towards Israel. Even if there's some

1472
01:11:24,840 --> 01:11:28,040
Speaker 2: crazy anti Semitism laws or whatever on the books in Europe,

1473
01:11:28,080 --> 01:11:30,559
Speaker 2: those governments are handling this very very differently than we are.

1474
01:11:30,760 --> 01:11:34,160
Speaker 1: Yeah, it is noteworthy, not because of the overall amount

1475
01:11:34,360 --> 01:11:36,960
Speaker 1: of the arm sales coming from Canada. They're not that

1476
01:11:37,080 --> 01:11:40,840
Speaker 1: significant a player in that regard, but still that such

1477
01:11:40,880 --> 01:11:43,360
Speaker 1: a close ally of ours would basically, you know, look

1478
01:11:43,360 --> 01:11:45,840
Speaker 1: at the situations that we can't do this any longer.

1479
01:11:45,880 --> 01:11:48,880
Speaker 1: That is obviously noteworthy. So we'll see where that goes.

1480
01:11:48,960 --> 01:11:51,160
Speaker 1: I just also have to note that it's not like

1481
01:11:51,600 --> 01:11:55,160
Speaker 1: we've just stood by while Israel does these things. I mean,

1482
01:11:55,200 --> 01:11:58,760
Speaker 1: we have helped them with the starvation policy, in particular

1483
01:11:59,560 --> 01:12:04,439
Speaker 1: by at their request, immediately defunding UNRA, which is the

1484
01:12:04,560 --> 01:12:09,040
Speaker 1: number one aid organization on the ground, and we did

1485
01:12:09,080 --> 01:12:13,440
Speaker 1: that on the day that the ICJ ruling came down, acknowledging,

1486
01:12:13,479 --> 01:12:15,559
Speaker 1: you know, it's plausible in South Africa as a decent

1487
01:12:15,680 --> 01:12:19,080
Speaker 1: enough case to continue this pursuit of whether or not

1488
01:12:19,160 --> 01:12:23,600
Speaker 1: Israel is in fact committing genocide. So we haven't just

1489
01:12:24,360 --> 01:12:28,360
Speaker 1: been observers here, We've been active participants in this horror

1490
01:12:28,439 --> 01:12:31,559
Speaker 1: that's unfolding of using starvation as a weapon of war,

1491
01:12:32,040 --> 01:12:37,200
Speaker 1: total collective punishment of the entire, entire civilian population. And

1492
01:12:37,200 --> 01:12:40,759
Speaker 1: by the way, since that ICJ ruling came down, which

1493
01:12:41,400 --> 01:12:44,439
Speaker 1: no did not call for a ceasefire, but called on

1494
01:12:44,600 --> 01:12:48,040
Speaker 1: Israel to cease any actions that are contributing to this

1495
01:12:48,160 --> 01:12:52,160
Speaker 1: finding a potential plausible genocide, that the number of AID

1496
01:12:52,160 --> 01:12:56,920
Speaker 1: trucks and the amount of AID entering has actually fallen dramatically.

1497
01:12:57,479 --> 01:13:01,640
Speaker 1: And you also have now Israel, over the objections of

1498
01:13:01,720 --> 01:13:05,360
Speaker 1: the US, targeting some of the people who've been really

1499
01:13:05,439 --> 01:13:09,360
Speaker 1: key in distributing the aid on the ground, and specifically

1500
01:13:09,840 --> 01:13:13,880
Speaker 1: Gaza police officers. Now they'll say, oh, well they're Hamas. Yeah,

1501
01:13:13,880 --> 01:13:16,639
Speaker 1: because Hamas was the government. But the US had asked

1502
01:13:16,680 --> 01:13:20,160
Speaker 1: them to stop targeting these civil society workers who are

1503
01:13:20,200 --> 01:13:23,320
Speaker 1: critical for helping to distribute what little aid is getting in,

1504
01:13:23,479 --> 01:13:25,559
Speaker 1: and that has not happened. In fact, if anything, they

1505
01:13:25,560 --> 01:13:29,599
Speaker 1: have stepped up the targeting of those individuals on top

1506
01:13:29,640 --> 01:13:31,559
Speaker 1: of of course, you know the massacres that we've seen,

1507
01:13:31,600 --> 01:13:34,920
Speaker 1: like the Flower massacre, of directly targeting starving Gazans who

1508
01:13:35,000 --> 01:13:37,760
Speaker 1: are going to try to obtain what aid they can.

1509
01:13:38,200 --> 01:13:41,759
Speaker 1: There was an extraordinary report in the Washington Post summed

1510
01:13:41,800 --> 01:13:45,719
Speaker 1: up you know, quite well, I think by Dave DeCamp

1511
01:13:45,800 --> 01:13:47,960
Speaker 1: of anti war dot com. Great website by the way,

1512
01:13:48,080 --> 01:13:51,680
Speaker 1: like libertarian or right leaning anti war website that I

1513
01:13:51,760 --> 01:13:54,040
Speaker 1: highly recommend to you guys regards to where you are

1514
01:13:54,040 --> 01:13:55,880
Speaker 1: on the political spectrum. Let's go ahead and put this

1515
01:13:55,960 --> 01:13:58,120
Speaker 1: up on this screen, and I'll read Dave's assessment of

1516
01:13:58,160 --> 01:14:01,040
Speaker 1: the Washington Post report, which really was quite stunning. So

1517
01:14:01,160 --> 01:14:04,559
Speaker 1: this Washing Post report attempted to go back to October

1518
01:14:04,600 --> 01:14:07,360
Speaker 1: seventh and basically look at how we ended up, the

1519
01:14:07,479 --> 01:14:09,880
Speaker 1: US ended up in the place it is now and

1520
01:14:10,560 --> 01:14:14,240
Speaker 1: at this point undeniable and manifest failures of the Biden

1521
01:14:14,280 --> 01:14:19,200
Speaker 1: administration's policy to say nothing about its immorality. So Dave writes,

1522
01:14:20,160 --> 01:14:24,000
Speaker 1: Biden administration officials knew back in October October twenty seventh,

1523
01:14:24,040 --> 01:14:27,679
Speaker 1: to be specific, that Israel was bombing buildings in Gaza

1524
01:14:27,720 --> 01:14:31,880
Speaker 1: without having solid intelligence that they were military targets, and

1525
01:14:31,960 --> 01:14:36,080
Speaker 1: continue to provide full support for Israeli military operations anyway,

1526
01:14:36,520 --> 01:14:40,479
Speaker 1: So we knew October twenty seventh. We knew that Israel

1527
01:14:40,560 --> 01:14:44,200
Speaker 1: was indiscriminately bombing without solid intelligence. And yet you remember

1528
01:14:44,240 --> 01:14:47,080
Speaker 1: the language and the rhetoric and the policy support that

1529
01:14:47,160 --> 01:14:49,920
Speaker 1: was Levy behind Israel at that point and continues to

1530
01:14:49,960 --> 01:14:52,000
Speaker 1: be to this day. Let me just continue reading this, guys,

1531
01:14:52,160 --> 01:14:54,000
Speaker 1: they say. The report said that a briefing took place

1532
01:14:54,000 --> 01:14:56,439
Speaker 1: at the White House on October twenty seventh, three weeks

1533
01:14:56,439 --> 01:14:59,679
Speaker 1: into that brutal Israeli military campaign, due to the Sheer

1534
01:14:59,680 --> 01:15:03,080
Speaker 1: Distry production in Gase, it was clear Israel was bombing

1535
01:15:03,120 --> 01:15:06,840
Speaker 1: the strip indiscriminately. And a report that we covered extensively

1536
01:15:06,880 --> 01:15:09,120
Speaker 1: here from Plus nine seven to two magazine published in

1537
01:15:09,160 --> 01:15:13,839
Speaker 1: November revealed Israel was actually intentionally hitting civilian targets. Israeli

1538
01:15:13,840 --> 01:15:16,280
Speaker 1: intelligence sources told nine seven to two that Israel targeted

1539
01:15:16,320 --> 01:15:20,679
Speaker 1: what it called power targets, which includes civilian infrastructure such

1540
01:15:20,680 --> 01:15:23,959
Speaker 1: as high rise apartment buildings, banks, universities, other public buildings.

1541
01:15:24,280 --> 01:15:27,200
Speaker 1: The sources said the Israeli military would also approve strikes

1542
01:15:27,200 --> 01:15:30,080
Speaker 1: that killed large numbers of civilians in an attempt to

1543
01:15:30,120 --> 01:15:34,760
Speaker 1: target one Hamas member. Biden officials also acknowledged during that

1544
01:15:34,800 --> 01:15:37,960
Speaker 1: October twenty seventh meeting that Israel had no clear plan

1545
01:15:38,080 --> 01:15:40,720
Speaker 1: on how to defeat Hamas. So think about that. They

1546
01:15:40,800 --> 01:15:44,280
Speaker 1: knew that this idea of while we're hunting Hamas was bullshit.

1547
01:15:44,479 --> 01:15:47,599
Speaker 1: From the early days of this war. Quote, we never

1548
01:15:47,720 --> 01:15:50,800
Speaker 1: had a clear sense that the Israelis had a definable

1549
01:15:50,840 --> 01:15:54,160
Speaker 1: and achievable military objective, a source familiar with the meaning

1550
01:15:54,240 --> 01:15:57,040
Speaker 1: told the Post. Quote, from the very beginning, there's been

1551
01:15:57,080 --> 01:15:59,559
Speaker 1: a sense of US not knowing how the Israelis were

1552
01:15:59,600 --> 01:16:02,120
Speaker 1: going to do what they said they were going to do.

1553
01:16:02,479 --> 01:16:05,519
Speaker 1: US Intel has acknowledged since that Hamas is not going away.

1554
01:16:05,720 --> 01:16:08,160
Speaker 1: The annual Threat Assessment that was released publicly by the

1555
01:16:08,160 --> 01:16:10,519
Speaker 1: Office of the Director of National Intelligence that we also

1556
01:16:10,560 --> 01:16:13,519
Speaker 1: covered here on Breaking Points this month said Israel quote

1557
01:16:13,560 --> 01:16:16,639
Speaker 1: probably will face lingering armed resistance from Hamas four years

1558
01:16:16,640 --> 01:16:19,400
Speaker 1: to come. Despite the lack of a realistic goal and

1559
01:16:19,479 --> 01:16:23,160
Speaker 1: massive civilian casualties, President Biden still continues to provide unconditional

1560
01:16:23,160 --> 01:16:26,720
Speaker 1: military aid for the slaughter. Since October seventh, his administration

1561
01:16:26,760 --> 01:16:32,519
Speaker 1: has approved over one hundred armstels for Israel. So bottom line,

1562
01:16:33,320 --> 01:16:36,599
Speaker 1: they knew, they knew the hunt for Hamas was bullshit.

1563
01:16:37,080 --> 01:16:41,200
Speaker 1: They knew civilians were being targeted from the very early days,

1564
01:16:41,439 --> 01:16:44,280
Speaker 1: and it did not stop them from shipping one hundred

1565
01:16:44,320 --> 01:16:49,919
Speaker 1: different times one hundred weapons sales, voting down vetoing UNC's

1566
01:16:50,000 --> 01:16:55,320
Speaker 1: fire resolutions, providing overwhelming diplomatic cover and support and rhetorical

1567
01:16:55,320 --> 01:16:59,240
Speaker 1: support to Israel. And one last thing soccer that was

1568
01:16:59,280 --> 01:17:02,960
Speaker 1: not in that particular report about this Washington Post piece,

1569
01:17:03,000 --> 01:17:06,000
Speaker 1: but that was also very noteworthy with regard to the

1570
01:17:06,120 --> 01:17:10,520
Speaker 1: raid on Al Shifa that you'll recall the Biden administration

1571
01:17:10,720 --> 01:17:14,720
Speaker 1: greenlit and that very day when they came out and said, oh,

1572
01:17:14,720 --> 01:17:17,799
Speaker 1: we agree with the Israeli intelligence with regard to Al Shifa,

1573
01:17:17,880 --> 01:17:20,480
Speaker 1: and we think that there is this command and control

1574
01:17:20,720 --> 01:17:24,000
Speaker 1: Hamas node under the hospital that was the very day

1575
01:17:24,400 --> 01:17:27,479
Speaker 1: that the first raid of Al Shifa occurred. Well, Senator

1576
01:17:27,560 --> 01:17:31,040
Speaker 1: Chris van Holland, in this Washington Post piece, who had

1577
01:17:31,040 --> 01:17:35,360
Speaker 1: received a classified briefing about that US intelligence on Al Shifa, said,

1578
01:17:35,439 --> 01:17:39,080
Speaker 1: quote there were important and subtle differences between what Biden

1579
01:17:39,120 --> 01:17:42,960
Speaker 1: officials were saying publicly and what the intelligence actually showed quote.

1580
01:17:43,320 --> 01:17:45,880
Speaker 1: I did find there to be some disconnect between the

1581
01:17:45,880 --> 01:17:50,120
Speaker 1: administration's public statements and the classified findings. In other words,

1582
01:17:50,640 --> 01:17:55,080
Speaker 1: the Biden administration lied on behalf of Israel about what

1583
01:17:55,160 --> 01:17:59,679
Speaker 1: our intelligence said about that supposed never proven Hamas command

1584
01:17:59,680 --> 01:18:02,960
Speaker 1: and control in order to give Israel the green light

1585
01:18:02,960 --> 01:18:04,880
Speaker 1: to go ahead and bread that hospital. That has led

1586
01:18:04,920 --> 01:18:07,880
Speaker 1: to numerous this point, I couldn't even say how many

1587
01:18:08,080 --> 01:18:11,559
Speaker 1: hospital raids, including we've just had our fourth rate of

1588
01:18:11,680 --> 01:18:13,479
Speaker 1: Alshifa that we covered this week.

1589
01:18:13,760 --> 01:18:15,760
Speaker 2: I encourage people to go and read this entire thing.

1590
01:18:15,800 --> 01:18:18,559
Speaker 2: It's very well written. John Hudson, one of the reporters

1591
01:18:18,560 --> 01:18:20,160
Speaker 2: on there, is a very good guy. He covers the

1592
01:18:20,200 --> 01:18:22,880
Speaker 2: State Department has for a long time. It's a very

1593
01:18:22,920 --> 01:18:26,160
Speaker 2: excellent piece because it outlines exactly why there's so much

1594
01:18:26,160 --> 01:18:29,080
Speaker 2: of a disconnect between public and private outside of the

1595
01:18:29,080 --> 01:18:32,040
Speaker 2: political the overall strategy that they are now acknowledging his

1596
01:18:32,120 --> 01:18:35,200
Speaker 2: failure is that the bear hug strategy allows you to

1597
01:18:35,280 --> 01:18:37,760
Speaker 2: be close if you back somebody up, and that will

1598
01:18:37,800 --> 01:18:40,559
Speaker 2: then let them listen to you because you're holding them

1599
01:18:40,560 --> 01:18:42,960
Speaker 2: close and you're actually sticking with them, as opposed to

1600
01:18:43,120 --> 01:18:45,639
Speaker 2: if you criticize them from the outset, then they're going

1601
01:18:45,680 --> 01:18:47,759
Speaker 2: to they're not going to listen to you from the beginning.

1602
01:18:47,800 --> 01:18:49,960
Speaker 2: But what they demonstrate in the piece is that a

1603
01:18:49,960 --> 01:18:52,280
Speaker 2: step by step by step by step is that the

1604
01:18:52,280 --> 01:18:54,679
Speaker 2: bear hug, even with the bear hug, was being taken

1605
01:18:54,680 --> 01:18:57,080
Speaker 2: in advantage of by the Israeli side, but was not

1606
01:18:57,200 --> 01:18:59,799
Speaker 2: being listened to, and that in the end what happened

1607
01:18:59,840 --> 01:19:02,640
Speaker 2: is a Biden himself ends up looking foolish. One of

1608
01:19:02,680 --> 01:19:04,599
Speaker 2: the ways you can really see that right now is Netta,

1609
01:19:04,920 --> 01:19:07,680
Speaker 2: who just losing it over Schumer. I mean, apparently it's

1610
01:19:07,720 --> 01:19:11,400
Speaker 2: been berating him behind the behind the scenes Netsa who

1611
01:19:11,400 --> 01:19:14,960
Speaker 2: actually addressed the Senate Republican conference this morning, which by

1612
01:19:15,000 --> 01:19:16,680
Speaker 2: the way, John Fetterman asked to sit in and on.

1613
01:19:16,760 --> 01:19:20,000
Speaker 2: But oh my god, that's a whole other separate conversations.

1614
01:19:21,720 --> 01:19:26,040
Speaker 2: In that meeting, he berated Chuck Schumer and allied himself

1615
01:19:26,040 --> 01:19:28,599
Speaker 2: even more with the Republican Party. And you know, let's

1616
01:19:28,600 --> 01:19:31,639
Speaker 2: be honest, it's not like Schumer called for anything substantively different.

1617
01:19:31,840 --> 01:19:34,440
Speaker 2: So my only point is that the bear Hug strategy

1618
01:19:34,640 --> 01:19:37,679
Speaker 2: is met with the same contempt at an analytical policy

1619
01:19:37,800 --> 01:19:41,920
Speaker 2: level brass tacks as opposed to the same critical level

1620
01:19:42,040 --> 01:19:45,080
Speaker 2: and withholding the only thing they do seem at least,

1621
01:19:45,120 --> 01:19:47,799
Speaker 2: the only thing they really seem to understand is actual strength,

1622
01:19:47,800 --> 01:19:50,240
Speaker 2: which has not yet been tried by any administration, by

1623
01:19:50,240 --> 01:19:51,639
Speaker 2: any real political entity.

1624
01:19:51,439 --> 01:19:54,240
Speaker 1: In the US, not for a while anyway, not certainly

1625
01:19:54,240 --> 01:19:59,320
Speaker 1: not under this administration. Let's get to this next piece,

1626
01:19:59,320 --> 01:20:04,320
Speaker 1: which is incredibly significant with regard to this port boondoggle situation.

1627
01:20:04,720 --> 01:20:08,679
Speaker 1: Put this up on the screen, so Beebe is apparently floating, Hey,

1628
01:20:08,720 --> 01:20:10,400
Speaker 1: you know what, we could use that port for a

1629
01:20:10,400 --> 01:20:13,160
Speaker 1: little ethnic cleansing so that Gozins could leave. Let me

1630
01:20:13,280 --> 01:20:16,799
Speaker 1: read this tweet specifically, Nott Yahoo in the Forid Affairs

1631
01:20:16,800 --> 01:20:19,120
Speaker 1: Committee in Israel said, we are looking at how to

1632
01:20:19,120 --> 01:20:22,240
Speaker 1: distribute the aid and gaza through non local entities because

1633
01:20:22,280 --> 01:20:25,080
Speaker 1: Hamas failed the attempts to distribute it through local entity.

1634
01:20:25,120 --> 01:20:28,200
Speaker 1: Of course, this is bullshit. But anyway, put that aside,

1635
01:20:28,200 --> 01:20:31,200
Speaker 1: private companies are also being investigated. This is all because

1636
01:20:31,200 --> 01:20:34,280
Speaker 1: they are defunding unrun trying to destroy. As far as

1637
01:20:34,280 --> 01:20:37,680
Speaker 1: the State of Israel is concerned, there is no obstacle

1638
01:20:38,000 --> 01:20:41,760
Speaker 1: for the Gosins to leave. Maybe even the port they

1639
01:20:41,840 --> 01:20:45,000
Speaker 1: are building could be used for this, but there are

1640
01:20:45,000 --> 01:20:47,599
Speaker 1: no countries in the world that are ready to receive

1641
01:20:47,640 --> 01:20:51,960
Speaker 1: them yet, countries not super excited about participating in your

1642
01:20:52,120 --> 01:20:55,639
Speaker 1: ethnic cleansing plan here. But Sager, this comes I don't

1643
01:20:55,640 --> 01:20:58,440
Speaker 1: know if you saw this, you probably did mis reports

1644
01:20:58,479 --> 01:21:02,479
Speaker 1: that as much as Biden floated this port situation as

1645
01:21:02,560 --> 01:21:05,720
Speaker 1: like his idea and this great humanitarian assistance to the

1646
01:21:05,720 --> 01:21:10,000
Speaker 1: Palestinian civilians, the idea actually came from the Israelis and

1647
01:21:10,040 --> 01:21:14,719
Speaker 1: from Netanyahu himself. So this gives you some insight into

1648
01:21:14,800 --> 01:21:18,880
Speaker 1: why they were keen for us to build this temporary

1649
01:21:18,880 --> 01:21:20,800
Speaker 1: port which is going to take months, which is going

1650
01:21:20,840 --> 01:21:22,960
Speaker 1: to take somewhere around one thousand US service members who

1651
01:21:23,000 --> 01:21:25,360
Speaker 1: were going to put at risk untold amount of dollars

1652
01:21:25,439 --> 01:21:27,519
Speaker 1: and is not even going to come close to solving

1653
01:21:27,640 --> 01:21:30,920
Speaker 1: the problem, which is the fact that babies are starving to.

1654
01:21:30,880 --> 01:21:32,360
Speaker 3: Death right now today, that's what they want.

1655
01:21:32,400 --> 01:21:34,559
Speaker 2: They want us to take them, they want us to

1656
01:21:34,600 --> 01:21:36,519
Speaker 2: be responsible for occupying for.

1657
01:21:36,720 --> 01:21:38,160
Speaker 3: I mean, remember the Wall Street Journal.

1658
01:21:38,160 --> 01:21:40,479
Speaker 2: They wrote a whole article they were like, hey, America,

1659
01:21:40,600 --> 01:21:43,200
Speaker 2: you guys should take all these refugees from Gaza and

1660
01:21:43,200 --> 01:21:44,280
Speaker 2: then we'll figure it out.

1661
01:21:44,320 --> 01:21:44,519
Speaker 5: You know.

1662
01:21:44,600 --> 01:21:47,960
Speaker 2: You this are literal members of the Kanesset who wrote

1663
01:21:47,960 --> 01:21:50,280
Speaker 2: this openly and they said that we should occupy the

1664
01:21:50,320 --> 01:21:52,680
Speaker 2: place and that we should take responsibility for them.

1665
01:21:52,680 --> 01:21:54,120
Speaker 3: That's what pisses me off the most about this.

1666
01:21:54,160 --> 01:21:57,160
Speaker 2: It's not even humanitarian because, as he said, people are

1667
01:21:57,240 --> 01:22:00,000
Speaker 2: either starving, We're not helping in the future, we're footing

1668
01:22:00,040 --> 01:22:02,760
Speaker 2: a bill, our people are at risk. It's a boondoggle,

1669
01:22:02,840 --> 01:22:05,640
Speaker 2: and it's just helping at least in the interim, you know,

1670
01:22:05,760 --> 01:22:08,920
Speaker 2: kind of helping accomplish their overall strategy. So the whole

1671
01:22:08,960 --> 01:22:11,600
Speaker 2: thing is just totally ridiculous. And what again does it

1672
01:22:11,680 --> 01:22:13,640
Speaker 2: say about a prime minister who is willing to just

1673
01:22:13,640 --> 01:22:16,200
Speaker 2: say this out in the open, about how hey, maybe

1674
01:22:16,200 --> 01:22:18,280
Speaker 2: you guys can take them or you can facilitate her.

1675
01:22:18,439 --> 01:22:20,280
Speaker 2: It's like, what, we're going to ship people out on

1676
01:22:21,000 --> 01:22:24,960
Speaker 2: US navy vessels to wear on your behalf, Like no, no, no, no, no,

1677
01:22:25,240 --> 01:22:26,800
Speaker 2: that's not how this is going to go.

1678
01:22:27,000 --> 01:22:30,519
Speaker 1: Well, well, but it may well.

1679
01:22:31,439 --> 01:22:32,680
Speaker 3: We're up to me, I would say, no.

1680
01:22:32,920 --> 01:22:37,200
Speaker 1: Yeah. At the same time, the level of contempt that's

1681
01:22:37,240 --> 01:22:41,639
Speaker 1: being telegraphed from this administration towards people who have who

1682
01:22:41,680 --> 01:22:44,200
Speaker 1: are many and who are a majority of Joe Biden's

1683
01:22:44,400 --> 01:22:46,160
Speaker 1: orders by the way, at this point, who have issues

1684
01:22:46,200 --> 01:22:49,679
Speaker 1: with their policy is really broad taking. Here's Koreean Jean Pierre.

1685
01:22:49,840 --> 01:22:52,000
Speaker 1: Just look at her affect. Listen to the answer, but

1686
01:22:52,040 --> 01:22:54,559
Speaker 1: also look at her affect while she is fielding this

1687
01:22:54,680 --> 01:22:57,439
Speaker 1: question about people who have objections to Joe Biden's policy

1688
01:22:57,439 --> 01:22:59,160
Speaker 1: of unconditional support of Israel, Takalism.

1689
01:23:00,120 --> 01:23:03,960
Speaker 14: Stinnian American, Arab American, and Muslim organizations that the White

1690
01:23:03,960 --> 01:23:06,840
Speaker 14: House reached out to for a meeting this week rejected

1691
01:23:06,960 --> 01:23:07,640
Speaker 14: the invitation.

1692
01:23:08,200 --> 01:23:10,439
Speaker 1: So what is the White House strategy on this? And

1693
01:23:10,520 --> 01:23:13,240
Speaker 1: are there plans for the President to directly engage with

1694
01:23:13,280 --> 01:23:14,120
Speaker 1: these communities.

1695
01:23:14,840 --> 01:23:18,120
Speaker 14: So look, the President, as you know, has had an

1696
01:23:18,120 --> 01:23:23,160
Speaker 14: opportunity to meet with members of that community not too

1697
01:23:23,200 --> 01:23:26,919
Speaker 14: long ago, leaders of that community, the our American community,

1698
01:23:26,960 --> 01:23:31,120
Speaker 14: the Muslim American community, not too long ago. And so

1699
01:23:32,280 --> 01:23:34,840
Speaker 14: look what I will say is We understand that this

1700
01:23:34,880 --> 01:23:37,040
Speaker 14: is a difficult time, that this is a painful time.

1701
01:23:37,439 --> 01:23:41,920
Speaker 14: We understand that the events of October seventh, that you know,

1702
01:23:42,360 --> 01:23:46,160
Speaker 14: that killed more than twelve hundred, twelve hundred souls, right,

1703
01:23:46,200 --> 01:23:48,559
Speaker 14: took more than twelve hundred souls in Israel and also

1704
01:23:48,640 --> 01:23:53,880
Speaker 14: took Helmas, the terrorist organization also as we know, took

1705
01:23:53,880 --> 01:23:57,519
Speaker 14: Costage more than two hundred people. And what that led to,

1706
01:23:58,200 --> 01:23:59,960
Speaker 14: that war that led to is incredibly pained.

1707
01:24:00,360 --> 01:24:01,120
Speaker 3: We understand that.

1708
01:24:01,479 --> 01:24:04,040
Speaker 1: So, I mean, this response was so bad on so

1709
01:24:04,120 --> 01:24:07,599
Speaker 1: many levels. First of all, she's practically rolling her eyes.

1710
01:24:08,000 --> 01:24:12,439
Speaker 1: And keep in mind, again, fifty percent of Joe Biden

1711
01:24:12,520 --> 01:24:16,200
Speaker 1: twenty twenty voters think this is a genocide. Fifty percent, okay,

1712
01:24:16,240 --> 01:24:17,920
Speaker 1: and that was, by the way, that poll is now,

1713
01:24:18,000 --> 01:24:19,519
Speaker 1: you know, at least a month old. I would be

1714
01:24:19,600 --> 01:24:22,080
Speaker 1: very curious what the numbers are at this point, given

1715
01:24:22,280 --> 01:24:26,400
Speaker 1: what we've seen unfold. She's flipping through the paper as

1716
01:24:26,400 --> 01:24:29,839
Speaker 1: she can barely be bothered. She looks bored, she's annoyed.

1717
01:24:29,960 --> 01:24:32,639
Speaker 1: Like I said, she's practically rolling her eyes, and then

1718
01:24:32,680 --> 01:24:36,760
Speaker 1: she can't even offer anything about you know, how they

1719
01:24:36,760 --> 01:24:39,320
Speaker 1: take this series out, they're going to win people back?

1720
01:24:40,040 --> 01:24:44,520
Speaker 1: She can't offer anything even a word about Palestinian civilian

1721
01:24:44,760 --> 01:24:48,360
Speaker 1: death and that loss of life and how it's wholly unacceptable. So,

1722
01:24:48,920 --> 01:24:52,400
Speaker 1: like I said, the level of content that continues to

1723
01:24:52,439 --> 01:24:54,880
Speaker 1: be telegraphed here is just really wild.

1724
01:24:55,200 --> 01:24:56,519
Speaker 3: It's very odd. I think.

1725
01:24:56,680 --> 01:24:58,519
Speaker 2: Look, I think that the eye roll just comes from

1726
01:24:58,520 --> 01:25:00,000
Speaker 2: They're like they don't want to deal with this anymore.

1727
01:25:00,200 --> 01:25:01,679
Speaker 3: They're just like, we want this to go away.

1728
01:25:01,800 --> 01:25:03,840
Speaker 2: We don't want to talk about it, we don't want

1729
01:25:03,840 --> 01:25:07,160
Speaker 2: this to be a problem for us. And that's I

1730
01:25:07,200 --> 01:25:10,920
Speaker 2: think one thing that the Israelis and the Biden administration,

1731
01:25:11,040 --> 01:25:14,240
Speaker 2: all of them have underestimated is that these clips are

1732
01:25:14,240 --> 01:25:18,320
Speaker 2: not local, like they go viral, and that moment went.

1733
01:25:18,320 --> 01:25:19,360
Speaker 3: Very, very viral.

1734
01:25:19,439 --> 01:25:21,960
Speaker 2: I think for the exact reasons that you're talking. Part

1735
01:25:21,960 --> 01:25:24,200
Speaker 2: of the reason why we've highlighted here was because it

1736
01:25:24,280 --> 01:25:27,240
Speaker 2: was because of the indifference, and they just don't seem

1737
01:25:27,600 --> 01:25:30,479
Speaker 2: to understand where that disconnect is, especially for their voters,

1738
01:25:30,520 --> 01:25:31,920
Speaker 2: and that's where it's becoming a political problem.

1739
01:25:32,040 --> 01:25:34,960
Speaker 1: Yeah. Absolutely, So the last piece we wanted to put

1740
01:25:35,040 --> 01:25:35,720
Speaker 1: up here because this.

1741
01:25:35,720 --> 01:25:37,720
Speaker 3: Is relevant to this hilarious I want to this.

1742
01:25:37,479 --> 01:25:41,799
Speaker 1: Whole conversation about like Israel so upset about Chuck Schumer

1743
01:25:41,960 --> 01:25:44,960
Speaker 1: interv meddling in their domestic politics. All right, put this

1744
01:25:45,080 --> 01:25:48,760
Speaker 1: up on the screen. Hawret's reports on an Israeli influence

1745
01:25:48,880 --> 01:25:54,080
Speaker 1: operation that directly targeted US lawmakers with regards to Hamas

1746
01:25:54,160 --> 01:25:58,240
Speaker 1: and unrespecifically. The subhead here says, hundreds of fake accounts

1747
01:25:58,240 --> 01:26:03,120
Speaker 1: amplified three mysterious quote unquote news sites to advance Israeli interest.

1748
01:26:03,360 --> 01:26:08,960
Speaker 1: Their target US Democratic lawmakers. The number one target, by

1749
01:26:08,960 --> 01:26:12,960
Speaker 1: the way of this influence operation apparently was Richie Torres.

1750
01:26:13,280 --> 01:26:18,160
Speaker 1: But you know, very interestingly, the majority of the posts

1751
01:26:18,200 --> 01:26:21,640
Speaker 1: were targeted not just at Democratic lawmakers or even just

1752
01:26:21,720 --> 01:26:25,200
Speaker 1: at you know, insane pro Israel acts like Richie Torres.

1753
01:26:25,479 --> 01:26:29,240
Speaker 1: It was actually targeted very specifically at black democratic lawmakers

1754
01:26:29,479 --> 01:26:32,360
Speaker 1: because there was this, you know, the senses borne out

1755
01:26:32,439 --> 01:26:34,280
Speaker 1: by if you look at who was signed on to

1756
01:26:34,360 --> 01:26:38,920
Speaker 1: cease fire proposals, especially from early on, there's a disproportionate

1757
01:26:39,000 --> 01:26:42,960
Speaker 1: number of Black Democrats who were backing these proposals. You

1758
01:26:43,040 --> 01:26:47,360
Speaker 1: have a historic connection to the Palestinian cause among black

1759
01:26:47,479 --> 01:26:51,400
Speaker 1: communities and civil rights activists in particular, so that was

1760
01:26:51,560 --> 01:26:55,120
Speaker 1: a serious focus. They say that over five hundred different

1761
01:26:55,120 --> 01:26:58,320
Speaker 1: avatars were found on three social networks. They pushed out

1762
01:26:58,320 --> 01:27:01,360
Speaker 1: posts with almost identical war wording links to what fake

1763
01:27:01,479 --> 01:27:05,400
Speaker 1: reporter call it. That's the outlet that actually originally identified

1764
01:27:05,439 --> 01:27:09,120
Speaker 1: this influence operation. The three main assets in this influence

1765
01:27:09,160 --> 01:27:12,720
Speaker 1: operation were these fake news websites, Unfold Magazine, Non Agenda,

1766
01:27:12,760 --> 01:27:15,479
Speaker 1: and the Moral Alliance. There's a very strong suggestion in

1767
01:27:15,520 --> 01:27:17,200
Speaker 1: this report, though they don't come right out and say

1768
01:27:17,200 --> 01:27:19,559
Speaker 1: it that it was being run by the Israeli government directly.

1769
01:27:19,800 --> 01:27:22,080
Speaker 1: We don't have one hundred percent proof of that. But again,

1770
01:27:22,120 --> 01:27:24,400
Speaker 1: like I said, strong suggestion, and to the point of

1771
01:27:24,400 --> 01:27:26,439
Speaker 1: what I was saying, some eighty five percent of all

1772
01:27:26,479 --> 01:27:29,200
Speaker 1: the American politicians whose accounts were targeted with such content

1773
01:27:29,240 --> 01:27:32,920
Speaker 1: were Democrats. Ninety percent of them were African Americans according

1774
01:27:32,960 --> 01:27:37,240
Speaker 1: to that analysis, and Richie Torres was targeted most. So

1775
01:27:37,640 --> 01:27:40,720
Speaker 1: very interesting. So oh, they would never meddle in our politics. Now,

1776
01:27:40,800 --> 01:27:42,639
Speaker 1: I want to say, like the posts they were making,

1777
01:27:42,720 --> 01:27:44,320
Speaker 1: I'm not saying they were particular.

1778
01:27:44,080 --> 01:27:45,719
Speaker 3: No, they weren't good, but they were doing.

1779
01:27:45,600 --> 01:27:48,519
Speaker 1: Effective or influential. Some of them even didn't even make sense.

1780
01:27:48,520 --> 01:27:51,920
Speaker 1: It'd be like an avatar with a white, middle aged

1781
01:27:51,920 --> 01:27:54,920
Speaker 1: looking dude who's like as a black woman, I feel

1782
01:27:54,960 --> 01:27:57,280
Speaker 1: blah blah blah. So it's not like it was like

1783
01:27:57,439 --> 01:28:00,720
Speaker 1: really well done or I think particularly impactful. But I

1784
01:28:00,760 --> 01:28:03,120
Speaker 1: also would point to saga. Remember the ADL was having

1785
01:28:03,160 --> 01:28:04,920
Speaker 1: a meltdown, we played some of the audio that got

1786
01:28:05,000 --> 01:28:08,280
Speaker 1: leaked about their TikTok problem, and there's this whole freak

1787
01:28:08,320 --> 01:28:10,960
Speaker 1: out about social media and how the young people are

1788
01:28:11,160 --> 01:28:13,679
Speaker 1: you know, pro Palestine or in their words, quote unquote

1789
01:28:13,680 --> 01:28:16,479
Speaker 1: pro Haamas. So I do wonder if this was like

1790
01:28:16,520 --> 01:28:20,479
Speaker 1: a direct reaction to that to try to combat the

1791
01:28:21,240 --> 01:28:24,960
Speaker 1: you know, the pro Palestinian sense on social media, especially

1792
01:28:24,960 --> 01:28:25,559
Speaker 1: among young people.

1793
01:28:25,680 --> 01:28:26,559
Speaker 3: I think it's possible.

1794
01:28:26,600 --> 01:28:28,600
Speaker 2: I don't know necessarily though, If that's what they're I

1795
01:28:28,640 --> 01:28:30,920
Speaker 2: think it's just a classic influence op, and they're going

1796
01:28:30,960 --> 01:28:32,559
Speaker 2: after the people that think.

1797
01:28:32,479 --> 01:28:32,880
Speaker 3: What they do.

1798
01:28:33,000 --> 01:28:36,760
Speaker 2: Yeah, this is just what they Dosad Israelis, like I said,

1799
01:28:36,760 --> 01:28:40,559
Speaker 2: they're the most notorious spies and like internal metalers here

1800
01:28:40,560 --> 01:28:42,479
Speaker 2: in the US by an alleged US ally.

1801
01:28:42,560 --> 01:28:44,759
Speaker 3: So anyway, I think it falls in the traditional playbook.

1802
01:28:45,280 --> 01:28:47,559
Speaker 1: All Right, we have an update for you on those

1803
01:28:47,960 --> 01:28:51,960
Speaker 1: Jonathan Glazer comments at the Oscars that came in for

1804
01:28:52,160 --> 01:28:55,120
Speaker 1: quite a bit of controversy. Let's go and put this

1805
01:28:55,240 --> 01:29:01,400
Speaker 1: up on the screen. So in reaction to the Glazer comments,

1806
01:29:01,439 --> 01:29:03,559
Speaker 1: you know, he was the filmmaker made zone of interest

1807
01:29:03,600 --> 01:29:06,720
Speaker 1: that's actually about the Holocaust. He himself is Jewish, and

1808
01:29:06,760 --> 01:29:11,480
Speaker 1: he said that he rejected the weaponization of his Jewishness

1809
01:29:11,520 --> 01:29:15,200
Speaker 1: and of the Holocaust in order to justify, you know,

1810
01:29:15,320 --> 01:29:18,840
Speaker 1: things that he believes should be unjustifiable. So they say,

1811
01:29:18,920 --> 01:29:23,000
Speaker 1: according to Variety, over one thousand Jewish creatives and professionals

1812
01:29:23,000 --> 01:29:26,479
Speaker 1: have now denounced Jonathan Glazers Zone Oscar speech in an

1813
01:29:26,479 --> 01:29:31,200
Speaker 1: open letter. Oh really, Well, it turns out that this

1814
01:29:31,360 --> 01:29:34,679
Speaker 1: open letter, it's just a form. It's a Google form,

1815
01:29:34,760 --> 01:29:37,160
Speaker 1: and you can see this in the community note, which

1816
01:29:37,200 --> 01:29:39,120
Speaker 1: is actually rather helpful. Here they say the letters a

1817
01:29:39,120 --> 01:29:41,240
Speaker 1: simple Google form. It does not confirm or ask for

1818
01:29:41,360 --> 01:29:44,240
Speaker 1: proof that the signers are Jewish creatives or professionals. One

1819
01:29:44,320 --> 01:29:46,880
Speaker 1: of the signers listed by Variety is a sag after

1820
01:29:47,040 --> 01:29:51,760
Speaker 1: member named River to the Sea. So apparently, you know,

1821
01:29:51,800 --> 01:29:54,599
Speaker 1: the original version of this letter had something like four

1822
01:29:54,640 --> 01:29:56,479
Speaker 1: hun or fifty names after it. After it got some

1823
01:29:56,479 --> 01:29:59,479
Speaker 1: publicity suddenly and just shot up to over one thousand

1824
01:29:59,520 --> 01:30:03,680
Speaker 1: purported the Jewish creatives and professionals, but some significant doubts

1825
01:30:03,960 --> 01:30:07,679
Speaker 1: about whether these are actual people who had an actual problem,

1826
01:30:07,800 --> 01:30:10,960
Speaker 1: and certainly whether they are Jewish creatives in Hollywood. Also,

1827
01:30:11,200 --> 01:30:13,800
Speaker 1: just as a note, apparently not a lot of big

1828
01:30:13,880 --> 01:30:17,640
Speaker 1: names signed on to this letter denouncing Jonathan Glazer, but

1829
01:30:17,920 --> 01:30:20,920
Speaker 1: I don't want to downplay the fact. I do think

1830
01:30:21,000 --> 01:30:25,120
Speaker 1: this could potentially his outspoken criticism which did become very

1831
01:30:25,160 --> 01:30:28,840
Speaker 1: controversial and was also lied about and misconstrued intentionally by

1832
01:30:28,880 --> 01:30:31,240
Speaker 1: a lot of dishonest actors. This could be a problem

1833
01:30:31,240 --> 01:30:33,639
Speaker 1: for his career. I don't think there's any doubt about

1834
01:30:33,640 --> 01:30:36,479
Speaker 1: that in terms of what the future may hold for him.

1835
01:30:36,520 --> 01:30:39,000
Speaker 1: I'm sure he knew that going into making these comments

1836
01:30:39,080 --> 01:30:41,599
Speaker 1: as well, because we've seen people in Hollywood lose their

1837
01:30:41,680 --> 01:30:44,400
Speaker 1: jobs for speaking out on behalf of Palestipians.

1838
01:30:44,520 --> 01:30:47,120
Speaker 2: Yeah, Tony Kushner, our producer Griffin found this. If people

1839
01:30:47,120 --> 01:30:49,920
Speaker 2: aren't familiar, he wrote Lincoln, he wrote Munich. He's been

1840
01:30:49,960 --> 01:30:52,599
Speaker 2: a Spielberg kind of collaborator. He's one of the more

1841
01:30:52,680 --> 01:30:55,679
Speaker 2: high profile people. I saw him speak once actually in college.

1842
01:30:55,760 --> 01:30:58,880
Speaker 2: He's the playwright. He did Angels of America. He actually

1843
01:30:58,880 --> 01:31:01,240
Speaker 2: spoke out on Glazier's half, and some of the comments

1844
01:31:01,240 --> 01:31:02,560
Speaker 2: were interesting let's says.

1845
01:31:02,479 --> 01:31:07,160
Speaker 13: The idea that you know, in the blowback after Jonathan

1846
01:31:07,160 --> 01:31:16,080
Speaker 13: Glazer's really sort of unimpeachable, irrefutable statement at the.

1847
01:31:16,000 --> 01:31:18,800
Speaker 1: Oscars, you identified with what he said, of.

1848
01:31:18,800 --> 01:31:22,839
Speaker 13: Course, I mean, who doesn't. What he's saying is so simple.

1849
01:31:23,120 --> 01:31:28,040
Speaker 13: He's saying, jewishness, Jewish identity, Jewish history, the history of

1850
01:31:28,040 --> 01:31:31,240
Speaker 13: the Holocaust, the history of Jewish suffering, must not be

1851
01:31:31,439 --> 01:31:36,200
Speaker 13: used in a campaign as an excuse for a project

1852
01:31:36,280 --> 01:31:40,720
Speaker 13: of dehumanizing or slaughtering other people. This is a misappropriation

1853
01:31:41,439 --> 01:31:44,720
Speaker 13: of what it means to be a Jew, but the

1854
01:31:44,760 --> 01:31:50,280
Speaker 13: Holocaust meant and he rejects that. Who doesn't agree with that?

1855
01:31:51,280 --> 01:31:54,439
Speaker 13: What kind of person thinks that what's going on now

1856
01:31:55,240 --> 01:31:58,599
Speaker 13: in Gaza is acceptable? And if you find yourself saying

1857
01:31:58,840 --> 01:32:01,240
Speaker 13: out loud and in public, oh, it's fine with me

1858
01:32:01,680 --> 01:32:07,639
Speaker 13: what they're doing because you feel that it's the only

1859
01:32:07,840 --> 01:32:13,000
Speaker 13: choice for you, because you're a Jew, is to defend

1860
01:32:13,120 --> 01:32:17,679
Speaker 13: everything that Israel does you know, Shame on you.

1861
01:32:17,960 --> 01:32:20,040
Speaker 2: I thought it was interesting just because he's a big

1862
01:32:20,320 --> 01:32:22,120
Speaker 2: he's a big player in Hollywood. So for him to

1863
01:32:22,160 --> 01:32:24,720
Speaker 2: come out and say something like this Spielberg collaborator and

1864
01:32:24,720 --> 01:32:26,120
Speaker 2: all that you're gonna have to pay attention.

1865
01:32:26,240 --> 01:32:29,920
Speaker 1: Yeah, Producer Griffin, he's like our most famous American playwright.

1866
01:32:30,439 --> 01:32:30,760
Speaker 1: We take.

1867
01:32:30,840 --> 01:32:32,479
Speaker 3: Like I said, I think he's an interesting guy. I saw.

1868
01:32:32,520 --> 01:32:33,920
Speaker 3: I went to go see him speak just because he

1869
01:32:33,960 --> 01:32:35,240
Speaker 3: wrote Lincoln, and he's.

1870
01:32:35,120 --> 01:32:39,120
Speaker 2: A very very very learning man, very well kind of

1871
01:32:39,320 --> 01:32:41,759
Speaker 2: crafted in his thoughts and the way he puts stuff

1872
01:32:41,760 --> 01:32:42,240
Speaker 2: down to paper.

1873
01:32:42,280 --> 01:32:44,960
Speaker 3: I've always found kind of an inspiration as a writer, he.

1874
01:32:44,920 --> 01:32:47,920
Speaker 1: Also said, and you could see that on the screen.

1875
01:32:48,400 --> 01:32:50,040
Speaker 1: He went on to say that what was happening in

1876
01:32:50,120 --> 01:32:52,960
Speaker 1: Gaza looked a lot like ethnic cleansing to him. So again,

1877
01:32:53,080 --> 01:32:56,439
Speaker 1: these are, you know, really noteworthy comments. And I think

1878
01:32:56,479 --> 01:33:00,240
Speaker 1: speaks to this conversation too about anti Semitism, because is

1879
01:33:00,439 --> 01:33:06,240
Speaker 1: you know, the idea that being a Jewish person requires

1880
01:33:06,280 --> 01:33:09,759
Speaker 1: you to support Israel, requires you to support everything Israel

1881
01:33:09,840 --> 01:33:12,479
Speaker 1: is doing and what Israel is all about. I think

1882
01:33:12,520 --> 01:33:16,200
Speaker 1: painting any sort of ethnic or religious group with that

1883
01:33:16,280 --> 01:33:19,920
Speaker 1: brought a brush. I mean, that's inherently bigoted to say

1884
01:33:19,960 --> 01:33:24,000
Speaker 1: you have to associate yourself with this ethnic cleansing in

1885
01:33:24,000 --> 01:33:26,600
Speaker 1: his words that's being carried out here. You know, I

1886
01:33:26,640 --> 01:33:30,640
Speaker 1: think that is truly anti Semitic, and that gets to

1887
01:33:30,720 --> 01:33:34,080
Speaker 1: some comments that our former president Donald Trump had to

1888
01:33:34,120 --> 01:33:37,120
Speaker 1: make about Jewish people and how they should be viewing

1889
01:33:37,280 --> 01:33:40,400
Speaker 1: this conflict, dictating to them what should define their Jewishness.

1890
01:33:40,479 --> 01:33:41,280
Speaker 1: Let's take a listen to that.

1891
01:33:41,400 --> 01:33:44,560
Speaker 3: Why do the Democrats hate Biby and Netanyahu?

1892
01:33:45,600 --> 01:33:48,439
Speaker 8: I actually think they hate Israel. Yes, I don't think

1893
01:33:48,479 --> 01:33:51,000
Speaker 8: they hate it. I think they hite Israel. And the

1894
01:33:51,040 --> 01:33:54,880
Speaker 8: Democrat Party hates Israel. Any Jewish person that votes for

1895
01:33:55,000 --> 01:34:00,639
Speaker 8: Democrats hates their religion, They hate everything of about Israel,

1896
01:34:01,120 --> 01:34:03,800
Speaker 8: and they should be ashamed of themselves because Israel would

1897
01:34:03,800 --> 01:34:04,480
Speaker 8: be destroyed.

1898
01:34:04,600 --> 01:34:10,040
Speaker 1: Any Jewish person that votes for Democrats hates their religion.

1899
01:34:10,439 --> 01:34:13,479
Speaker 1: Think about that, and that's the polar opposite of what,

1900
01:34:13,600 --> 01:34:18,680
Speaker 1: For example, Tony Kushner was saying that his Jewishness requires

1901
01:34:18,760 --> 01:34:21,880
Speaker 1: him to speak out against what is being done to

1902
01:34:22,479 --> 01:34:27,759
Speaker 1: Palestinian civilians in the name of him and other Jewish people.

1903
01:34:28,240 --> 01:34:31,839
Speaker 1: So it reminded me so much of the Joe Biden.

1904
01:34:32,080 --> 01:34:34,200
Speaker 1: If you don't vote for me, then you ain't black.

1905
01:34:34,400 --> 01:34:38,599
Speaker 1: It reminded me so much of that that Donald Trump

1906
01:34:38,680 --> 01:34:42,960
Speaker 1: thinks he can dictate to Jewish people what their religion

1907
01:34:43,080 --> 01:34:45,360
Speaker 1: is all about and how they if they vote for

1908
01:34:45,400 --> 01:34:47,880
Speaker 1: a Democrat then they must hate their religion. I mean

1909
01:34:47,880 --> 01:34:48,840
Speaker 1: that is disgusting.

1910
01:34:48,920 --> 01:34:50,679
Speaker 2: I mean, I don't think it's right, but it's actually

1911
01:34:50,720 --> 01:34:53,160
Speaker 2: become more of a popular talking point amongst a lot

1912
01:34:53,160 --> 01:34:55,320
Speaker 2: of conservative Jews. I've seen a lot of people like

1913
01:34:55,439 --> 01:34:59,240
Speaker 2: JPod John put Herrits, Josh Hammer and others who have

1914
01:34:59,360 --> 01:35:03,160
Speaker 2: kind of normal this within the conservative Jewish community where

1915
01:35:03,200 --> 01:35:08,200
Speaker 2: they are inextricably linking Israel, the war in Gaza, criticism

1916
01:35:08,240 --> 01:35:10,680
Speaker 2: of that and trying to not excommunicate per se.

1917
01:35:10,720 --> 01:35:12,719
Speaker 3: I don't think it exists in Judaism, but it's.

1918
01:35:12,520 --> 01:35:15,639
Speaker 2: More like you are not adhering to the tenets of

1919
01:35:15,680 --> 01:35:18,200
Speaker 2: like who we are and what is described in the

1920
01:35:18,240 --> 01:35:21,400
Speaker 2: religion if you don't, if you vote for the Democratic Party,

1921
01:35:21,439 --> 01:35:23,960
Speaker 2: I believe you. Hammer said that outright and explicitly. So

1922
01:35:24,000 --> 01:35:25,320
Speaker 2: I think that is where a lot of this is

1923
01:35:25,320 --> 01:35:27,519
Speaker 2: coming from for Trump, is they're like, hey, you should

1924
01:35:27,720 --> 01:35:28,040
Speaker 2: push this.

1925
01:35:28,120 --> 01:35:29,960
Speaker 3: And I've seen a lot of this internal.

1926
01:35:29,600 --> 01:35:33,120
Speaker 2: Policing, you know, in the Jewish community very recently where

1927
01:35:33,200 --> 01:35:37,000
Speaker 2: you know, Schumer his act was very controversial where it

1928
01:35:37,120 --> 01:35:39,200
Speaker 2: kind of split some of the way that they think

1929
01:35:39,240 --> 01:35:41,639
Speaker 2: and talk about Israel. And I think Trump is trying

1930
01:35:41,640 --> 01:35:44,240
Speaker 2: to like glom onto that and trying to bring some

1931
01:35:44,360 --> 01:35:46,519
Speaker 2: of that energy into the Republican Party. I mean, listen,

1932
01:35:46,560 --> 01:35:48,920
Speaker 2: on a rhetorical level, I think it's crazy and outrageous. Like,

1933
01:35:49,080 --> 01:35:51,479
Speaker 2: you know, nobody. It is not the job of anyone

1934
01:35:51,760 --> 01:35:54,639
Speaker 2: except for people in their religion, and even then they

1935
01:35:54,640 --> 01:35:56,360
Speaker 2: don't as far as I understand it, there is no

1936
01:35:56,400 --> 01:35:57,599
Speaker 2: pope or whatever in duties.

1937
01:35:57,960 --> 01:36:00,240
Speaker 3: So you people figure that shit out for yourself. There's

1938
01:36:00,240 --> 01:36:01,240
Speaker 3: more my question.

1939
01:36:02,439 --> 01:36:05,360
Speaker 1: You know, there was a poll that found a majority

1940
01:36:05,439 --> 01:36:08,760
Speaker 1: of Jewish American support to cease fire, A majority of

1941
01:36:08,840 --> 01:36:09,759
Speaker 1: Jewish American support.

1942
01:36:10,280 --> 01:36:11,839
Speaker 3: Most Jewish Americans are libs.

1943
01:36:11,960 --> 01:36:18,120
Speaker 1: Like that's the I mean, here's the thing too. There's

1944
01:36:18,200 --> 01:36:23,000
Speaker 1: been obviously a very warranted conversation about anti Semitism. There's

1945
01:36:23,000 --> 01:36:26,479
Speaker 1: also been an unwarranted conversation about anti Semitism, you know,

1946
01:36:27,160 --> 01:36:30,360
Speaker 1: being invented in any criticism of Israel being considered an

1947
01:36:30,360 --> 01:36:35,479
Speaker 1: antismitic et cetera, et cetera, and anti Semitism is never justified,

1948
01:36:35,520 --> 01:36:37,880
Speaker 1: It's never acceptable. I just want to you know that

1949
01:36:38,040 --> 01:36:41,200
Speaker 1: this is not to justify anything, but if you are

1950
01:36:41,200 --> 01:36:45,400
Speaker 1: requiring all Jews to be associated with what the Israeli

1951
01:36:45,439 --> 01:36:50,439
Speaker 1: government is doing right now, starving two million people ethnic

1952
01:36:50,600 --> 01:36:54,680
Speaker 1: wanting to ethnically cleanse those people, plausibly committing a genocide

1953
01:36:54,760 --> 01:36:57,559
Speaker 1: against those people, and you want to tie every Jew

1954
01:36:57,600 --> 01:37:01,040
Speaker 1: in the world to those policies and say that's what

1955
01:37:01,160 --> 01:37:05,320
Speaker 1: makes you Jewish, That's the defining character of your Jewishness

1956
01:37:05,800 --> 01:37:09,200
Speaker 1: is to be associated with this state that is acting

1957
01:37:09,280 --> 01:37:13,000
Speaker 1: in the most morally outrageous ways you can possibly imagine.

1958
01:37:13,840 --> 01:37:18,360
Speaker 1: It is almost inevitable, again, not justifying, it is almost inevitable.

1959
01:37:18,400 --> 01:37:22,400
Speaker 1: That is going to lead to an increase in anti Semitism,

1960
01:37:22,439 --> 01:37:26,479
Speaker 1: that is going to make Jews around the world less safe.

1961
01:37:26,680 --> 01:37:29,200
Speaker 1: So that's part of why I find the reaction to

1962
01:37:29,280 --> 01:37:31,240
Speaker 1: Jonathan Glazers speech. So discussiing is part of why I

1963
01:37:31,280 --> 01:37:34,920
Speaker 1: find Donald Trump's comments here. So discussing this conflation of

1964
01:37:35,520 --> 01:37:40,479
Speaker 1: Jewishness with unconditional support for Israel. I mean, this is

1965
01:37:40,520 --> 01:37:45,360
Speaker 1: not the way Israelis think about things, you know, you know,

1966
01:37:45,479 --> 01:37:48,040
Speaker 1: they certainly don't think that their Jewishness is defined by

1967
01:37:48,080 --> 01:37:51,400
Speaker 1: supporting friggin Benjamin Netanyato. I can tell you that much

1968
01:37:51,400 --> 01:37:54,320
Speaker 1: based on the polls now, there is a very high

1969
01:37:54,360 --> 01:37:56,559
Speaker 1: and very disturbing level of support for what is being

1970
01:37:56,600 --> 01:37:59,679
Speaker 1: done in Gaza by the Israeli public. But to say

1971
01:37:59,680 --> 01:38:03,479
Speaker 1: that you were you are defined in your Jewishness by

1972
01:38:03,520 --> 01:38:06,360
Speaker 1: your level of support for whatever it is the Israeli

1973
01:38:06,400 --> 01:38:09,040
Speaker 1: government is going to do, or even commitment to the

1974
01:38:09,080 --> 01:38:11,879
Speaker 1: State of Israel, you know, in the Zionist project itself.

1975
01:38:12,080 --> 01:38:15,599
Speaker 1: I just find that absolutely disgusting, wrong, and like I said,

1976
01:38:15,640 --> 01:38:20,280
Speaker 1: I think inevitably actually makes Chews less safe and lifts

1977
01:38:20,280 --> 01:38:22,679
Speaker 1: the level of anti Semitism here in our real world.

1978
01:38:22,800 --> 01:38:25,679
Speaker 2: That's the point our friend Daryl Cooper has been making

1979
01:38:25,880 --> 01:38:26,760
Speaker 2: very consistently.

1980
01:38:26,800 --> 01:38:29,280
Speaker 3: He's like, listen, if you want it this way, well.

1981
01:38:28,960 --> 01:38:31,080
Speaker 2: Then you know you are going to be by and

1982
01:38:31,160 --> 01:38:35,080
Speaker 2: large actually increasing the amount of aggregate anti Semitism in

1983
01:38:35,120 --> 01:38:37,200
Speaker 2: the world. I would also say this, you know, you

1984
01:38:37,280 --> 01:38:40,200
Speaker 2: can't be saying dual loyalty is anti semitic if you

1985
01:38:40,320 --> 01:38:43,320
Speaker 2: also are accepting a frame of dual loyalty.

1986
01:38:43,400 --> 01:38:47,559
Speaker 1: That's true, demanding actually true, You're actually demanding it, right.

1987
01:38:48,200 --> 01:38:51,840
Speaker 2: Yeah, that's a whole other conversation, and that is why

1988
01:38:52,000 --> 01:38:54,160
Speaker 2: you know, I know it's controversial, but I think it

1989
01:38:54,240 --> 01:38:58,479
Speaker 2: is the most most poignant part and is one on

1990
01:38:58,600 --> 01:39:01,120
Speaker 2: the American right, which nobody wants to touch with a

1991
01:39:01,160 --> 01:39:04,800
Speaker 2: ten foot poll, and yet is so obvious with so

1992
01:39:04,960 --> 01:39:08,600
Speaker 2: many commentators. I'll just leave it at that that it

1993
01:39:08,680 --> 01:39:11,920
Speaker 2: is supposedly off bounds, but it's like they're the ones

1994
01:39:11,960 --> 01:39:15,120
Speaker 2: also internally trying to enforce the exact same standard. So

1995
01:39:15,160 --> 01:39:17,280
Speaker 2: you can't call it anti semitic and then say it's

1996
01:39:17,280 --> 01:39:20,559
Speaker 2: anti semitic not to adhere to that standard in their

1997
01:39:20,560 --> 01:39:21,160
Speaker 2: own community.

1998
01:39:21,240 --> 01:39:22,679
Speaker 3: So anyway, that's a whole.

1999
01:39:22,439 --> 01:39:24,360
Speaker 2: Other conversation, I guess. Indeed, all right, thank you guys

2000
01:39:24,400 --> 01:39:27,000
Speaker 2: for watching. We really appreciate it. As we said, sign

2001
01:39:27,040 --> 01:39:29,559
Speaker 2: up for premium if you can. Breakingpoints dot Com big

2002
01:39:29,800 --> 01:39:31,840
Speaker 2: upgrade in the service. If anything breaks over the weekend,

2003
01:39:31,880 --> 01:39:33,599
Speaker 2: we'll bring it to you. Otherwise, we've got some content.

2004
01:39:33,760 --> 01:39:38,640
Speaker 3: We'll see you all next week.