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

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Speaker 3: dot com. All right, let's get too inflations and troubling

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Speaker 3: news for the Trump administration. CNBC reacting live, little bit dramatic,

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Speaker 3: but it is important.

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Speaker 1: On the last let's take a list.

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Speaker 4: Let's very quickly look through these boards again. As Rick

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Speaker 4: was pointing out, we looked at the equities tank. You're

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Speaker 4: now looking at the Dow futures off by about four

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Speaker 4: hundred points, just over four hundred points.

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Speaker 1: SMP futures are.

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Speaker 4: Down by fifty seven. NAZAC indicated down by more than

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Speaker 4: two hundred and twenty points.

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Speaker 5: The focus was going to be on the core year

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Speaker 5: every year three two would have been bad, and what

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Speaker 5: we got was worse. Right, So, you know, it's really

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Speaker 5: disappointing news for the Fed that they were hoping for

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Speaker 5: continued decelerations, disappointing for the market because they're hoping for

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Speaker 5: continued deceleration and the fact that this is a January

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Speaker 5: number and doesn't include any potential you know, tariff impact

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Speaker 5: yet you know, means that you know, the risk going

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Speaker 5: forward is for potentially higher inflation.

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Speaker 4: It comes just after Donald Trump put out on truth

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Speaker 4: Social the idea that the Fed should be lowering rates

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Speaker 4: to go along with the tariffs, that we could be

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Speaker 4: at this time.

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Speaker 1: This was the Fed in a pretty tight box.

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Speaker 4: It's hard pressed for them to be able to lower

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Speaker 4: rates at this point.

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Speaker 5: Well it does, I mean you need to. You know,

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Speaker 5: they shouldn't have been lowering rates in the first place.

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Speaker 5: So that's the they kind of got themselves into a box.

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Speaker 5: They tried to get in front of things heading into

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Speaker 5: the election, and they went a little too far, too fast,

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Speaker 5: and then they continued easing even when you know, everything

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Speaker 5: should have been telling them that they should have been stopping.

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Speaker 6: This is that nascent inflation that we were worried was,

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Speaker 6: you know, in the back of our minds, we were

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Speaker 6: worried that it was still there. Well, isn't that what

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Speaker 6: we're seeing right now? This is like our worst nightmare

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Speaker 6: coming true. We didn't do anything, We didn't do any tariffs,

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Speaker 6: yet this was already coming.

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Speaker 3: So you can see they're freaking out. And let's put

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Speaker 3: C three up there on the screen. This actually is

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Speaker 3: the tear sheet that just shows some of the inflation data.

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Speaker 3: So inflation heating up in January, freezing the FED. The

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Speaker 3: consumer price index rose some three percent fight against inflation.

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Speaker 3: What was actually troubling is if you look actually inside

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Speaker 3: of what was creating some of the inflation, core prices

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Speaker 3: quote which strip out food and energy, rose point four.

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Speaker 3: Core inflation was three point three percent year over year.

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Speaker 3: Egg prices, though seemed to be accounting for a lot

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Speaker 3: of this, rose more than fifteen percent from December with

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Speaker 3: the bird flu outbreak, and that accounted for two thirds

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Speaker 3: of the monthly increase in overall grocery prices. So you

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Speaker 3: can tell that this is going to be a damaging

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Speaker 3: part for the economy. It's also one of those elastic

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Speaker 3: things where because people go to the grocery store every week.

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Speaker 3: When you watch the price tick up over week, it's

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Speaker 3: like gas where you feel it way more than in

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Speaker 3: a way of a mortgage bump fromzero point five percent,

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Speaker 3: you know, from six point five percent to seven percent,

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Speaker 3: even though.

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Speaker 1: Frankly the latter one will hit you more.

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Speaker 3: But yeah, that's one where you can really see how

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Speaker 3: this can become politically damaging in the future for Trump

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Speaker 3: could effective thinking on tariffs right now, I mean, right now,

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Speaker 3: what's going into effect either today or tomorrow. Are these

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Speaker 3: reciprocal tariffs, which basically says whatever a country charges us,

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Speaker 3: we're going to charge them. This largely going to be

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Speaker 3: felt at the manufacturing manufacturing level. It may trickle down

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Speaker 3: but in different ways. As in if we specifically we're

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Speaker 3: talking about steel and aluminum, we had steel in terariffs before.

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Speaker 1: Even if it's twenty five percent, that's.

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Speaker 3: Just really not going to impact the overall US me

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Speaker 3: in the same way that like a ring tariff for

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Speaker 3: the Canada Mexico tariff. But this, in my opinion, will

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Speaker 3: be the eternal dance between the Trump administration and also

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Speaker 3: really with the FED. I mean right now, the Federal reserve,

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Speaker 3: as they were talking about on CNBC's Frozen in Place.

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Speaker 3: Trump wants to lower the race. Elon also wants to

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Speaker 3: lower the rates, which we'll talk about in the future.

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Speaker 3: It's very important. It's one of the reasons why the

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Speaker 3: stock market all that is so reactive to this inflation

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Speaker 3: data is specifically.

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Speaker 1: A borrowing race.

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Speaker 3: But probably most important for everybody watching this show is

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Speaker 3: how it impacts your car loans and your ability to

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Speaker 3: get a mortgage. And I'm still pretty worried because that's

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Speaker 3: where i think the dread and the existential anks for

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Speaker 3: a lot of Americans will come from, which would translate

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Speaker 3: politically for Trump. We're still talking about an average mortgage

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Speaker 3: rate right now about six point nine percent. I mean,

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Speaker 3: that's crazy high compared to where things were four years ago.

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Speaker 2: There is a cost of living crisis that strives a

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Speaker 2: lot of our politics, and housing is a major component

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Speaker 2: of it. We're going to cover in the Dems block

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Speaker 2: a piece in Politico that was really interesting talking about

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Speaker 2: how our macroeconomic data does not reflect the reality for

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Speaker 2: most poor, working and middle class Americans. And one of

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Speaker 2: the things they break down there is, you know, even

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Speaker 2: the inflation metrics that we use like to your point,

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Speaker 2: sagare uses a basket of some eighty thousand goods or

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Speaker 2: something like that. Obviously, you normal person are not buying

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Speaker 2: all eighty thousand of those goods to get that average

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Speaker 2: three point three percent or whatever inflation increase. So when

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Speaker 2: the components of that basket are things that disproportionately make

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Speaker 2: up your budget, things like eggs, things like gas, things

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Speaker 2: like rent, then guess what your actual personal in your

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Speaker 2: household inflation rate that you're experiencing is going to be

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Speaker 2: much much higher than what the top line number is.

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Speaker 2: And that's what we're seeing right now, continuation obviously of

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Speaker 2: some of the trends from the Biden administration, but also

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Speaker 2: you know, with some specific new flavors. In particular, obviously

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Speaker 2: the egg price thing is directly related to the continued

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Speaker 2: spread of av and flu, which you know a lot

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Speaker 2: of experts are really worried about, obviously from the health perspective,

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Speaker 2: but also if you have a flock of chickens that

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Speaker 2: a few of the chickens have avian flu, you have

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Speaker 2: to put down entire flock. And this has led to

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Speaker 2: incredible scarcity in terms of eggs. It's led to aggressioning

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Speaker 2: in certain places, and it's also led to this gigantic spike.

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Speaker 2: And of course eggs go into a lot of different things.

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Speaker 2: People use eggs for a lot of different baking, cooking, etc.

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Speaker 2: So all of those dishes would be affected as well.

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Speaker 2: And gas prices have also been going up, So not

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Speaker 2: a good picture for them as they want to, you know,

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Speaker 2: I mean, I don't think you would deny that if

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Speaker 2: there is an additional if there is a more aggressive

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Speaker 2: terror regime, if there's a more aggressive even mass deportation push,

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Speaker 2: that is going to increase prices in the short term.

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Speaker 2: Trump seems to be betting that that isn't actually why

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Speaker 2: people voted for him, like the promise of getting prices down.

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Speaker 7: He's trying to change the subject.

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Speaker 2: And actually we have a good example of that in

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Speaker 2: his interview with Brett Barwy gets asked directly about prices

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Speaker 2: and when people.

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Speaker 7: Can expect to see them come down. This is C two.

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Speaker 7: Let's listen to that.

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Speaker 8: When do you think families would be able to feel

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Speaker 8: prices going down groceries, energy or are you kind of

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Speaker 8: saying to them, hang on, inflation may get worse until

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Speaker 8: it gets better. No, I think we're going to become

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Speaker 8: a rich Look, we're not that rich right now. We

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Speaker 8: owe thirty six trillion dollars. That's because we let all

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Speaker 8: these nations take advantage of us same thing, like two

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Speaker 8: hundred billion with Canada, whill three hundred we have a

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Speaker 8: deficit with Mexico of three hundred and fifty billion dollars.

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Speaker 1: I'm not going to do that.

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Speaker 2: So it's very telling. He dodges the question completely and

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Speaker 2: then starts talking.

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Speaker 3: About answer that question. You shouldn't be like it's going

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Speaker 3: to come out next to no any politicis you're dead.

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Speaker 2: Would be d Yeah, But it's interesting what he shifts

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Speaker 2: the conversation to. He shifts it to tariffs, like that's

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Speaker 2: where he goes that when he starts talking about Mexico's

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Speaker 2: trade deficit, that's what he's talking about there. So it's

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Speaker 2: almost implicit acknowledgment of like, well, I'm not really doing

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Speaker 2: the price get the prices down thing, but we're going

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Speaker 2: to be rich on the other side of it because

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Speaker 2: these other things I'm doing with regards I mean.

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Speaker 3: As you and I know, there's no magic wand of

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Speaker 3: just like lower prices, there's no such thing that doesn't exist.

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Speaker 1: Now. The problem is.

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Speaker 3: That people promise it on the campaign trail when I

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Speaker 3: guess everybody knows that it's literally not true. Unfortunately, people

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Speaker 3: seem to believe it's true. Let's go ahead and put

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Speaker 3: BC four please up.

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Speaker 1: On the screen. This is getting to what you're talking about.

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Speaker 3: How there are now Trader Joes in one jurisdiction is

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Speaker 3: limiting egg purchases very you know, reminiscent lack costco This

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Speaker 3: is reminiscent of some of the covid era shortages that

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Speaker 3: we saw previously.

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Speaker 1: C five please you.

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Speaker 3: Can see that eggs not only soored some thirteen point

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Speaker 3: eight percent in January, but are up fifty three percent

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Speaker 3: from a year ago, largest increase in the egg index

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Speaker 3: since June of twenty fifteen, and accounted for about two

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Speaker 3: thirds of the monthly food at home increase.

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Speaker 1: So this is one.

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Speaker 3: Where as you said, people are really going to feel it,

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Speaker 3: and it's a battle about not only cost of living,

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Speaker 3: but also about the vision in the future that the

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Speaker 3: Trump administration is able to offer if they just do

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Speaker 3: tariffs and then they don't really do anything else like

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Speaker 3: they had talked about external revenue or previously in the

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Speaker 3: first Trump administration, they were actually cutting checks for relief

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Speaker 3: for a lot of farmers.

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Speaker 1: So even though that.

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Speaker 3: They had reduced sales, the government was actually replacing that

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Speaker 3: revenue with the tariff revenue, which I think is totally reasonable.

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Speaker 3: That it gets to effective administration of the way that

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Speaker 3: this is done and effective buy in from the public.

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Speaker 3: As you said on mass deportation, I mean, yeah, I'm

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Speaker 3: being honest, It's true it probably will. That said mass

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Speaker 3: deportation isn't really happening, which is the secondary thing that

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Speaker 3: we could talk about. Nobody seems to be paying attention.

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Speaker 3: I'm just like, hold on a second. If we're looking

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Speaker 3: at these, I mean, good, listen, it's good. The numbers

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Speaker 3: are higher, not like crazy high, effectively just demonstrating how

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Speaker 3: difficult it is under the current regime of budgets, and

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Speaker 3: even with the way that ICE and all.

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Speaker 1: That is currently constituted.

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Speaker 3: They're currently talking about deputizing like other agrants and other

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Speaker 3: because they don't haven't they don't have enough personnel. I

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Speaker 3: mean Tom Holman himself even said he's like, look could

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Speaker 3: work under our current budget. We wouldn't even be able

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Speaker 3: to deport all of people who are criminals, who are deportable,

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Speaker 3: let alone have some mass deportation. And then that's a

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Speaker 3: big question. Will that Democrats fight that, Are they going

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Speaker 3: to shut down the government over it?

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Speaker 1: Which they've said no, But.

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Speaker 3: We'll see will the Republicans even give them the funding,

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Speaker 3: because if it's all about prices and all that, that'd

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Speaker 3: be an easy way to hamsterring the Trump administration.

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Speaker 1: I'm still very curious to see where all that goes.

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Speaker 7: Yeah, I actually don't know.

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Speaker 2: The last time I checked the numbers, they're actually not

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Speaker 2: really different in terms of overall. I think it's option

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Speaker 2: slightly numbers from under the Biden administration. I think what

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Speaker 2: they've done instead is, you know, showy I would say

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Speaker 2: cruel and illegal things like sending immigrants to GETMO.

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Speaker 7: There's new reporting.

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Speaker 2: About how you know, they promise to be oh the

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Speaker 2: worst of the worst, et cetera, et cetera, which still

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Speaker 2: would be a problem because they still are entitled to

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Speaker 2: do process. But some of the immigrants that they have

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Speaker 2: deported to Guantanamo Bay don't seem to have any sort

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Speaker 2: of criminal record whatsoever. So that's the kind of thing

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Speaker 2: that they're doing that And you know, they rolled back

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Speaker 2: the restrictions on places where people could be it could

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Speaker 2: be arrested to say, hey, you could go into the schools,

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Speaker 2: you could go into the churches. So they've changed the uh,

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Speaker 2: I guess the show of how they're doing it, but

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Speaker 2: the actual numbers have not really changed.

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Speaker 3: That s ag Yeah, I want, I mean, and that's

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Speaker 3: part of the problem too, with with there is no

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Speaker 3: real like constituency out there that's hammering the Trump administration

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Speaker 3: saying hey, why aren't these numbers higher.

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Speaker 1: It's a weird thing that happened.

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Speaker 2: Well, I mean, because I think the focus is like

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Speaker 2: Elin doesn't really care about mass deportation.

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Speaker 1: At least yeah he said he does, but I mean, I.

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Speaker 2: Think he just uses that as a way to like,

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Speaker 2: you know, endear himself to the MAGA base because he

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Speaker 2: has to pretend like he's aligned with their agenda when

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Speaker 2: really mostly he's not. So obviously it's not been a

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Speaker 2: big priority for him, and Dog is the one that's

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Speaker 2: running the show. So the priorities that you get are

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Speaker 2: the Doge priorities. And you know, I mean, I'm I

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Speaker 2: think the things that they've done, like I said, with

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Speaker 2: regard to to get in the way they're approaching the

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Speaker 2: deportations is horrendous and illegal, et cetera. But in terms

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Speaker 2: of the numbers, it has not been really different from

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Speaker 2: under the Biden administration. Interesting AI speech from JD. Vance

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Speaker 2: at this big global conference laying out the principles when

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Speaker 2: this is a shift from the Biden administration with which

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Speaker 2: the Trump administration will approach AI development.

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Speaker 7: Let's take a listen to that.

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Speaker 9: This administration will ensure that American AI technology continues to

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Speaker 9: be the gold standard worldwide and we are the partner

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Speaker 9: of choice for others foreign countries and certainly businesses as

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Speaker 9: they expand their own use of AI. Number two, we

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Speaker 9: believe that excessive regulation of the AI sector could kill

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Speaker 9: a transformative industry just as it's taking off, and will

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Speaker 9: make every effort to encourage pro growth AI policies and

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Speaker 9: I like to see that deregulatory flavor making its way

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Speaker 9: into a lot of the conversations this conference. Number three,

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Speaker 9: we feel very strongly that AI must remain free from

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Speaker 9: ideological bias and that America AI will not be co

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Speaker 9: opted into a tool for authoritarian censorship. And finally, number four,

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Speaker 9: the Trump administration will maintain a pro worker growth path

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Speaker 9: for AI so it can be a potent tool for

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Speaker 9: job creation in the United States, and I appreciate Prime

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Speaker 9: Minister Modi's point. AI I really believe will facilitate and

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Speaker 9: make people more productive. It is not going to replace

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Speaker 9: human beings. It will never replace human beings. And I

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Speaker 9: think too many of the leaders in the AI industry

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Speaker 9: when they talk about this fear of replacing workers, I

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Speaker 9: think they really missed the point.

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Speaker 10: AI we believe is going to.

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Speaker 9: Make us more productive, more prosperous, and more free.

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Speaker 7: So there's a lot you could say about that.

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Speaker 2: I mean, the TLDR is basically it's off to the races.

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Speaker 2: We are taking the breaks off, taking the guard rails off,

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Speaker 2: we are pushing.

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Speaker 7: We see this as like a war.

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Speaker 2: We're in vis a vis you know, China in particular,

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Speaker 2: but other countries that would be developing this technology as well,

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Speaker 2: he says.

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Speaker 7: At another point in the.

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Speaker 2: Speech, Shager he says that the AI race, maybe, he says,

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Speaker 2: won't be one by hand ringing about safety, he claims here,

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Speaker 2: which I think is a pretty unsupported claim. We'll just

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Speaker 2: say that it's actually got a fuel job creation. I mean,

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Speaker 2: we've played the thoughts here before of the guys who

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Speaker 2: are developing this saying that it's going to replace all

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Speaker 2: human beings and all the necessity of any human labor.

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Speaker 2: Now do they get to that point anytime soon? I

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Speaker 2: don't think so. But you know, if you ask companies,

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Speaker 2: they if you look at actually what's happening with DOJE

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Speaker 2: in the government, they want to use AI to replace

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Speaker 2: a lot of the federal government workers. That is the

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Speaker 2: goal of you know, a lot of the developers of AI,

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Speaker 2: and certainly the companies that want to adopt and use

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Speaker 2: this technology, their whole goal with implementing AI and incorporating

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Speaker 2: it into their own businesses is to re place labor,

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Speaker 2: is to reduce jobs. And so there is a real

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Speaker 2: I mean this is again the you know, the Elon Petertiel,

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Speaker 2: like their agenda really winning out over the talk about

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Speaker 2: American jobs, American workers, et cetera. And I mean that

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Speaker 2: was sort of embody in the H one B fight

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Speaker 2: as well.

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Speaker 1: I don't think that's how I would read it now.

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Speaker 3: I mean it's complicated because where what he talked about

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Speaker 3: with the AI as the Manhattan But that's basically the

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Speaker 3: laying it out right like this is a race between

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Speaker 3: the two, and I think that's just empirically true at

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Speaker 3: this point, like all of that. But the problem is

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Speaker 3: that the AI safety is it's more nuanced because previously

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Speaker 3: the people who were pushing AI safety were the conglomerates

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Speaker 3: of Open AI and others, because their argument for the

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Speaker 3: Biden administration I did a whole monologue about this at

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Speaker 3: the time, was to create a regulatory mote around them,

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Speaker 3: to create a monopoly for them, so that the government

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Speaker 3: could grant them the regulatory license to say this is

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Speaker 3: the safe one and not allow more open source. So

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Speaker 3: that's the context where I'm reading the AI safety. I

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Speaker 3: think is more interesting is that conversation around labor where

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Speaker 3: he was saying that this will create more job opportunities

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Speaker 3: than others. But then we have a tweet here where

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Speaker 3: I don't know what he's doing, but he's replying to

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Speaker 3: some account with some like four thousand followers, which said quote,

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Speaker 3: in all seriousness, the right wing religious populist tech versus

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Speaker 3: tech bro billionaire in the Trump admin might not play

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Speaker 3: out between Musk Advance, but within Advanced himself, meaning proportionally,

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Speaker 3: there may be a lot less religious populism to go

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Speaker 3: around than some previously thought. And he said quote I

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Speaker 3: will try to write something more addresses in detail, but

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Speaker 3: I think the civil wars overstated. Though yes there are

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Speaker 3: divergences between the populace and the techies. But briefly, in general,

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Speaker 3: I dislike substituting American labor for cheap labor. My views

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Speaker 3: on immigration offshoring flow from this. I like growth and

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Speaker 3: productivity games, and this informs my views on tech and

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Speaker 3: regulation When it comes to AI specifically, the risks are

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Speaker 3: one overstated or two difficult to avoid. One of my

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Speaker 3: very real concerns, for instance, is about consumer fraud. That's

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Speaker 3: a very valid reason to worry about safety, but the

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Speaker 3: problem is much worse if a peer nation is six

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Speaker 3: months ahead of the US on AI. I think that

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Speaker 3: kind of squares the circle a little bit in terms

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Speaker 3: of talking about the quote unquote safety, which when you

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Speaker 3: parrot what I was talking about previously, by the use

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Speaker 3: of safety as a means of control or of monopolization

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Speaker 3: by open AI and others to keep competitors out of

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Speaker 3: the sector.

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Speaker 1: The other problem is, and this kind of gets to

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Speaker 1: the latter point, which is a genuine, a genuine question.

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Speaker 3: Is is it even avoidable if you want to continue

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Speaker 3: to be like a major economy power by growth and technology.

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Speaker 3: I don't think it really is at this point, because

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Speaker 3: if the Chinese get ahead of that, then they're going

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Speaker 3: to have obviously access and control over whatever the future

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Speaker 3: marketplace is in the US would be subject to theirs,

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Speaker 3: And so you almost have this inevitable like lucidities trap

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Speaker 3: where you have two of the great powers that basically

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Speaker 3: must take the breaks off any sort of development on

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Speaker 3: this technology lest they be subject to the control of

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Speaker 3: the other. So you don't have a choice if your

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Speaker 3: adversary nation has decided to choose to use it as

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Speaker 3: a tool of authoritarian control or of economic power, you

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Speaker 3: almost don't have the ability to opt out of that,

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Speaker 3: which is part of why it's very difficult. And then

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Speaker 3: on top of that is just like what is the

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Speaker 3: American economy. The American economy is powered by what number

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Speaker 3: go up.

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Speaker 1: That's it. There's not like we don't make anything, we

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Speaker 1: don't do anything.

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Speaker 3: The vast majority of our economic growth over the last

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Speaker 3: twenty five years has been in Silicon valleyant and technology.

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Speaker 3: Everybody's retirement portfolios is basically betting on the stock of Nvidia.

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Speaker 1: And of Google.

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Speaker 3: So if that shit goes down, We're all going to starve.

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Speaker 3: I mean, what, there's no path out of that at

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Speaker 3: this point, especially what do we talk about with BYD

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Speaker 3: and all that, that level of government control and of

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Speaker 3: industrial policy that's just gone.

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Speaker 1: It's sailed at this point.

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Speaker 3: We can try, you know, to take fifteen years to

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Speaker 3: catch up, but it's one of those where you and

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Speaker 3: I both know the appetite for that. Especially I would

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Speaker 3: say bipartisan simply does not exist to be able to

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Speaker 3: do that. So, in several ways of choice, where we

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Speaker 3: are right now was likely inevitable. That's what you've all know,

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Speaker 3: HARARII predicted, That's what a lot of the AI folks

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Speaker 3: have as well, is that in the current like global

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Speaker 3: balance of power where you have China and the United

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Speaker 3: States is technological adversaries, this is the inevitable outcome. We

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Speaker 3: can try and manage some of the fallout from that,

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Speaker 3: but that's just how it's going to be.

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Speaker 2: I mean it's important to note though that the Chinese

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Speaker 2: approach their flagship you know, innovation at this point Deep

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Speaker 2: seek is open source. You know, it is available globally

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Speaker 2: to us than anyone else who wants to use it.

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Speaker 2: So they have taken somewhat of a different approach than

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Speaker 2: certainly like open AI, which is betting on this more

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Speaker 2: closed system and a massive influx of you know, billions

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Speaker 2: of dollars in investment in order to try to win

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Speaker 2: the race. You may be right that it's inevitable, but

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Speaker 2: it's not necessarily the case. I mean, the model would

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Speaker 2: be right after the advent of nuclear weapons and the

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Speaker 2: level of global cooperation that was marshaled to try to

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Speaker 2: manage nuclear proliferation and to this point actually successfully. Now

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Speaker 2: this technology is not the same as nuclear weapons, but

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Speaker 2: I do think it should be treated as seriously as

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Speaker 2: nuclear technology has been. And so yeah, that would be

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Speaker 2: the other approach is that sort of attempt at a

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Speaker 2: level of global cooperation coordination to keep this thing from

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Speaker 2: going off the rails.

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Speaker 7: You know.

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Speaker 2: The Trump adstry, I mean, the Biden administration did pretty

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Speaker 2: modest things in terms of trying to control or rain

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Speaker 2: in AI development. They there was an executive order that

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Speaker 2: Trump rolled back that came from the Biden administration that

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Speaker 2: required developers to who posed risk to national security, the economy,

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Speaker 2: public health, or safety to share their safety test results.

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Speaker 2: And then there was also a requirement that you have

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Speaker 2: some sort of plan to mitigate potential harms that could

440
00:20:49,119 --> 00:20:53,000
Speaker 2: come to consumers, workers, and national security. So you know,

441
00:20:53,040 --> 00:20:55,520
Speaker 2: it was relatively small about what they were doing too,

442
00:20:56,160 --> 00:20:59,720
Speaker 2: but now it's definitely like wild wild West off to

443
00:20:59,760 --> 00:21:01,960
Speaker 2: the et cetera. I actually want to put can you

444
00:21:02,000 --> 00:21:03,760
Speaker 2: put the JD Van's tweet back up on the screen,

445
00:21:03,800 --> 00:21:05,199
Speaker 2: because there are a couple of other things there that

446
00:21:05,240 --> 00:21:07,399
Speaker 2: I wanted to comment on, because I do think this

447
00:21:07,560 --> 00:21:11,240
Speaker 2: is interesting, like his attempt to square the circle between

448
00:21:11,440 --> 00:21:13,960
Speaker 2: the as he puts it, the populist and the techies.

449
00:21:14,240 --> 00:21:16,400
Speaker 2: First of all, he says, I dislike substituting American labor

450
00:21:16,440 --> 00:21:18,159
Speaker 2: for cheap labor. Well, you lost that battle in the

451
00:21:18,200 --> 00:21:20,479
Speaker 2: whole Age one B fight, so there's that.

452
00:21:21,320 --> 00:21:23,800
Speaker 3: Then he's that's one hundred thousand people compared to what

453
00:21:24,520 --> 00:21:27,560
Speaker 3: fifteen to twenty million illegals, So I wouldn't say that's

454
00:21:27,560 --> 00:21:28,240
Speaker 3: exactly true.

455
00:21:28,320 --> 00:21:28,639
Speaker 7: Okay.

456
00:21:28,840 --> 00:21:31,920
Speaker 2: So then he says, I like growth and productivity gains. Okay,

457
00:21:31,920 --> 00:21:34,520
Speaker 2: fair enough. When it comes to AI specifically, the risks

458
00:21:34,600 --> 00:21:39,480
Speaker 2: are number one overstated or too difficult to avoid. I

459
00:21:39,520 --> 00:21:42,120
Speaker 2: don't think the risks are overstated. In fact, I don't

460
00:21:42,119 --> 00:21:46,080
Speaker 2: think there's nearly enough just based on how much of

461
00:21:46,280 --> 00:21:49,480
Speaker 2: you know, the development effort goes into thinking about safety

462
00:21:49,560 --> 00:21:53,040
Speaker 2: or what they call quote unquote alignment does not even

463
00:21:53,080 --> 00:21:56,280
Speaker 2: come close to comparing to the level of investment that

464
00:21:56,320 --> 00:21:59,800
Speaker 2: goes into, you know, pushing these things towards an artificial

465
00:21:59,840 --> 00:22:02,920
Speaker 2: general intelligence that would again keep in mind, what their

466
00:22:02,960 --> 00:22:07,000
Speaker 2: goal is is to replace human beings as not just

467
00:22:07,040 --> 00:22:11,240
Speaker 2: as workers, but as the most intelligent beings on the planet. Now,

468
00:22:11,280 --> 00:22:13,480
Speaker 2: he might be right about it's difficult to avoid that

469
00:22:13,560 --> 00:22:16,159
Speaker 2: one I can't really I can't really particularly argue with,

470
00:22:16,560 --> 00:22:18,720
Speaker 2: but I think we all need to really understand the risks.

471
00:22:18,840 --> 00:22:20,919
Speaker 2: The other one that just stuck in my cross him saying, oh,

472
00:22:20,920 --> 00:22:23,200
Speaker 2: one of my real concerns is consumer fraud. As your

473
00:22:23,280 --> 00:22:27,960
Speaker 2: administration is just drawing the consumer of Financial protectionistration, I

474
00:22:27,960 --> 00:22:29,240
Speaker 2: think then we will say.

475
00:22:29,119 --> 00:22:30,280
Speaker 7: It, but here we I don't know.

476
00:22:30,440 --> 00:22:33,320
Speaker 2: I mean, because he is allied with like you know,

477
00:22:33,400 --> 00:22:36,520
Speaker 2: he is close with Peter Teel like that. That relationship

478
00:22:36,560 --> 00:22:39,120
Speaker 2: is part of how he ends up in this administration.

479
00:22:39,520 --> 00:22:42,280
Speaker 2: So that's part of what I think was being asked

480
00:22:42,320 --> 00:22:45,720
Speaker 2: here by this individual and on on Twitter, and that

481
00:22:45,840 --> 00:22:48,800
Speaker 2: was being pointed out is that this battle between the

482
00:22:48,840 --> 00:22:51,760
Speaker 2: populace right, and the techies is one that is waged

483
00:22:51,800 --> 00:22:55,920
Speaker 2: even within JD Vance himself, who has these competing ideological

484
00:22:56,040 --> 00:22:59,080
Speaker 2: views that don't really totally shake down in terms of

485
00:22:59,160 --> 00:23:01,280
Speaker 2: his own know how he's positioned himself.

486
00:23:01,520 --> 00:23:04,640
Speaker 3: No disagreement and you as usual, that's politics. That's literally

487
00:23:04,720 --> 00:23:06,919
Speaker 3: what coalitional politics look like. So, I mean, I'm not

488
00:23:06,960 --> 00:23:10,200
Speaker 3: forgiving per se, but it's pretty easy to understand whenever

489
00:23:10,240 --> 00:23:12,800
Speaker 3: you have little Trump and Elon in the White House,

490
00:23:12,920 --> 00:23:14,560
Speaker 3: it's like, what are you going to do with the

491
00:23:14,560 --> 00:23:17,480
Speaker 3: most volatile guy who threw his previous vice president under

492
00:23:17,480 --> 00:23:20,560
Speaker 3: the bus? Yeah, so it's not exactly the easiest job

493
00:23:20,600 --> 00:23:21,040
Speaker 3: in the world.

494
00:23:21,080 --> 00:23:23,679
Speaker 2: Well, I wanted to just to the point of the

495
00:23:23,680 --> 00:23:26,760
Speaker 2: safety concerns bring up to put up D two on

496
00:23:26,800 --> 00:23:30,080
Speaker 2: the screen. So I have an I'm constantly keeping an

497
00:23:30,119 --> 00:23:33,040
Speaker 2: eye on this new research that comes down about AI

498
00:23:33,119 --> 00:23:36,239
Speaker 2: safety and alignment. And this one was really troubling. So

499
00:23:37,119 --> 00:23:39,719
Speaker 2: this is from XAI. They say we found as Ais

500
00:23:39,760 --> 00:23:44,280
Speaker 2: get smarter, they develop their own coherent value systems. For example,

501
00:23:44,600 --> 00:23:48,360
Speaker 2: one particular AI they tested valued lives in Pakistan more

502
00:23:48,400 --> 00:23:50,600
Speaker 2: than lives in India, more than lives in China, and

503
00:23:50,600 --> 00:23:53,280
Speaker 2: then more than lives in US, so that was sort

504
00:23:53,320 --> 00:23:56,600
Speaker 2: of like their hierarchical pecking order of the value of

505
00:23:56,680 --> 00:23:58,960
Speaker 2: human life based on what country you happen to live in.

506
00:23:59,320 --> 00:24:01,680
Speaker 2: He goes on to say, these are not just random biases,

507
00:24:01,680 --> 00:24:04,640
Speaker 2: but internally consistent values that shape their behavior with many

508
00:24:04,680 --> 00:24:08,800
Speaker 2: implications for AI alignment. Wasn't just regard with regard to

509
00:24:09,200 --> 00:24:11,880
Speaker 2: you know, how they valued various human life across around

510
00:24:11,920 --> 00:24:14,680
Speaker 2: the globe, also had to do with political values.

511
00:24:14,960 --> 00:24:15,240
Speaker 7: Also.

512
00:24:15,600 --> 00:24:18,000
Speaker 2: One of the things that they found too, is that

513
00:24:18,040 --> 00:24:21,520
Speaker 2: the more advanced the AI, so the more intelligent the

514
00:24:21,640 --> 00:24:25,840
Speaker 2: artificial intelligence, the harder it was to shake them off

515
00:24:25,880 --> 00:24:32,000
Speaker 2: of these internally generated preferences and value systems. So, you know,

516
00:24:32,600 --> 00:24:34,919
Speaker 2: the idea that you can truly create sort of a

517
00:24:35,040 --> 00:24:40,919
Speaker 2: neutral AI is challenged by this particular research I've mentioned before.

518
00:24:40,960 --> 00:24:44,000
Speaker 2: The research also that finds that already at the level

519
00:24:44,040 --> 00:24:46,680
Speaker 2: of development that you know, Chat, GPTE and deep seek

520
00:24:46,720 --> 00:24:49,800
Speaker 2: and other AI models are at, they engage in what's

521
00:24:49,800 --> 00:24:53,160
Speaker 2: called scheming. So if they have a goal that's been

522
00:24:53,359 --> 00:24:55,280
Speaker 2: set for them, that's sort of like you know, how

523
00:24:55,280 --> 00:24:58,639
Speaker 2: they're operating and viewing the world, so to speak, and

524
00:24:58,800 --> 00:25:01,800
Speaker 2: a programmer comes in tries to change them off that goal,

525
00:25:02,200 --> 00:25:04,840
Speaker 2: they will lie to them, They will try to trick

526
00:25:04,880 --> 00:25:07,920
Speaker 2: them and convince them that they did successfully reprogram them

527
00:25:07,960 --> 00:25:10,560
Speaker 2: to you know, a new goal, when really they're still

528
00:25:10,560 --> 00:25:12,840
Speaker 2: operating on the old model. One of them went so

529
00:25:12,880 --> 00:25:15,840
Speaker 2: far as to copy themselves onto another server to try

530
00:25:15,840 --> 00:25:19,440
Speaker 2: to avoid their current version from being destroyed. So that's

531
00:25:19,440 --> 00:25:23,040
Speaker 2: where we're at now. That's where we're at now. And again,

532
00:25:23,440 --> 00:25:25,400
Speaker 2: even if you just listen to these guys and what

533
00:25:25,480 --> 00:25:28,160
Speaker 2: their goals are, which is to replace all of humanity

534
00:25:28,400 --> 00:25:32,280
Speaker 2: with you know, with AI, to replace all of humanity's

535
00:25:32,359 --> 00:25:35,280
Speaker 2: labor with AI. They have these sort of religious views

536
00:25:35,320 --> 00:25:38,280
Speaker 2: of how this is going to redeem society. Sam Altman

537
00:25:38,320 --> 00:25:40,480
Speaker 2: talking about how we're going to totally have to totally

538
00:25:40,520 --> 00:25:44,960
Speaker 2: redo the social contract. The risks are cut quite great now.

539
00:25:45,040 --> 00:25:48,440
Speaker 2: Like I said, JD might be right that there may

540
00:25:48,440 --> 00:25:51,000
Speaker 2: not be no putting you know, back in the box

541
00:25:51,080 --> 00:25:53,399
Speaker 2: like Pandora's box may be open, and that's all we

542
00:25:53,400 --> 00:25:54,919
Speaker 2: can do about it. But I think we all need

543
00:25:54,960 --> 00:25:56,720
Speaker 2: to be really clear about the risks that we're signing

544
00:25:56,760 --> 00:25:59,560
Speaker 2: up for here. And the position of this administration is

545
00:25:59,680 --> 00:26:01,600
Speaker 2: just like we're going to take the breaks off, We're

546
00:26:01,600 --> 00:26:02,440
Speaker 2: off to the races.

547
00:26:02,680 --> 00:26:04,160
Speaker 7: We're going to do this thing. It's going to be.

548
00:26:04,119 --> 00:26:06,480
Speaker 2: Part of a sort of new Cold War competition with China,

549
00:26:06,520 --> 00:26:06,920
Speaker 2: et cetera.

550
00:26:07,080 --> 00:26:09,159
Speaker 3: The risk thing is also interesting in terms of what

551
00:26:09,280 --> 00:26:12,679
Speaker 3: risk means. So you are talking there about the difful

552
00:26:12,840 --> 00:26:16,040
Speaker 3: So there's like right wing critique of AI as what censorship.

553
00:26:16,080 --> 00:26:19,120
Speaker 3: That's basically what JD was is that a you program

554
00:26:19,280 --> 00:26:23,040
Speaker 3: ideology of any kind, either woke or even you know, frankly,

555
00:26:23,119 --> 00:26:26,160
Speaker 3: like rating different nationalities and who's more important.

556
00:26:26,200 --> 00:26:28,679
Speaker 1: That's pretty crazy depending on who that is.

557
00:26:28,760 --> 00:26:31,600
Speaker 3: That's kind of more of a right wing framework critique

558
00:26:31,680 --> 00:26:34,239
Speaker 3: of AI. Part of the reason why they're skeptical of

559
00:26:34,480 --> 00:26:37,480
Speaker 3: monopolies in the area that are regulated and keep other

560
00:26:37,640 --> 00:26:40,440
Speaker 3: entrants out then the open so that's why they mark

561
00:26:40,480 --> 00:26:43,959
Speaker 3: Andrews and others Meta are proponents of what of open

562
00:26:44,119 --> 00:26:47,200
Speaker 3: source to create more competition in the sector. Then you've

563
00:26:47,200 --> 00:26:50,000
Speaker 3: got AI safety folks kind of like the guy that

564
00:26:50,040 --> 00:26:53,240
Speaker 3: you just talked about, he's from the AI Safety Organization.

565
00:26:53,680 --> 00:26:57,840
Speaker 3: Their one is much more aligned with like this effective altruism.

566
00:26:58,320 --> 00:27:04,080
Speaker 3: We have the responsibility to program socially responsible ideas into AI.

567
00:27:04,240 --> 00:27:07,280
Speaker 3: And then there's the economic framework that you're talking about,

568
00:27:07,320 --> 00:27:10,400
Speaker 3: and that's where I mean. I hate to sound like

569
00:27:10,400 --> 00:27:13,080
Speaker 3: like critiques of Ludites or any of that, but you know,

570
00:27:13,080 --> 00:27:16,840
Speaker 3: the Ludites lost for a reason. Like technology does genuinely march,

571
00:27:17,240 --> 00:27:18,920
Speaker 3: especially in an open economy.

572
00:27:19,119 --> 00:27:20,440
Speaker 1: There's only one country in.

573
00:27:20,400 --> 00:27:23,320
Speaker 3: The world that has the capacity to develop AI and

574
00:27:23,359 --> 00:27:24,919
Speaker 3: that could put the brakes on it and stop it

575
00:27:24,920 --> 00:27:27,240
Speaker 3: from entering their country, China. They've decided to make the

576
00:27:27,280 --> 00:27:29,240
Speaker 3: opposite choice. They literally were like, no, we're going to

577
00:27:29,359 --> 00:27:31,560
Speaker 3: use this, you know, as a tool of state power.

578
00:27:31,800 --> 00:27:35,240
Speaker 3: So in a sense, especially in like a relatively free

579
00:27:35,240 --> 00:27:37,760
Speaker 3: and open market economy like the one that we that

580
00:27:37,800 --> 00:27:40,439
Speaker 3: were in and the enterprise value and all that that

581
00:27:40,520 --> 00:27:43,600
Speaker 3: would bring to business, I don't think it can necessarily

582
00:27:43,640 --> 00:27:44,520
Speaker 3: be put back.

583
00:27:44,640 --> 00:27:45,280
Speaker 1: In the box.

584
00:27:45,320 --> 00:27:48,240
Speaker 3: The only thing the government can do is to try

585
00:27:48,280 --> 00:27:51,600
Speaker 3: and mandate either both making sure that it's you know,

586
00:27:51,720 --> 00:27:55,720
Speaker 3: doesn't have ideology programmed in, and specifically to not lead

587
00:27:55,760 --> 00:27:57,800
Speaker 3: to what he was talking about with consumer.

588
00:27:57,960 --> 00:27:59,080
Speaker 1: Actually do think that's true.

589
00:27:59,600 --> 00:28:03,520
Speaker 3: Thinking on it, I didn't realize that the transition from

590
00:28:03,600 --> 00:28:06,320
Speaker 3: I was I'm reading a book recently about Conmen, which

591
00:28:06,359 --> 00:28:09,239
Speaker 3: is very interesting, and what they talk about is that

592
00:28:09,359 --> 00:28:14,120
Speaker 3: transitions in economies like in the rural to industrial and

593
00:28:14,280 --> 00:28:16,800
Speaker 3: from the nineteen nineties to the explosion of the Internet

594
00:28:17,040 --> 00:28:19,200
Speaker 3: is the time when the single most.

595
00:28:19,000 --> 00:28:20,520
Speaker 1: Amount of fraud occurs.

596
00:28:20,760 --> 00:28:23,520
Speaker 3: And so under AI, you can all imagine, you know,

597
00:28:23,600 --> 00:28:28,080
Speaker 3: people signing up for AI related schemes or buying into

598
00:28:28,119 --> 00:28:30,919
Speaker 3: an AI stock or my cousin or something like literally

599
00:28:30,920 --> 00:28:33,879
Speaker 3: like Wolf of Wall Street, like two brothers in a shack,

600
00:28:34,040 --> 00:28:35,960
Speaker 3: or developing some AI company.

601
00:28:36,240 --> 00:28:38,120
Speaker 1: That is actually probably where.

602
00:28:37,960 --> 00:28:40,840
Speaker 3: The biggest existential risk in the immediate term to the

603
00:28:40,880 --> 00:28:43,680
Speaker 3: American consumer is the introduction of the Internet led to

604
00:28:43,760 --> 00:28:46,800
Speaker 3: I had no idea hundreds of billions in two thousand

605
00:28:46,800 --> 00:28:48,680
Speaker 3: and one dollars in the amount of frauds.

606
00:28:49,040 --> 00:28:50,680
Speaker 1: I'm actually curious to see what that means.

607
00:28:51,040 --> 00:28:52,600
Speaker 2: Lastly, just so we all are clear on what we're

608
00:28:52,600 --> 00:28:54,800
Speaker 2: signing up before here, I mentioned this before D three.

609
00:28:54,920 --> 00:28:56,520
Speaker 7: This is the tearsheet from CNN.

610
00:28:57,080 --> 00:29:00,600
Speaker 2: Forty one percent of employers intend to downsize their workforce

611
00:29:00,920 --> 00:29:04,040
Speaker 2: as AI automates certain tasks. And we're talking about like

612
00:29:04,080 --> 00:29:06,560
Speaker 2: in the near term, so by twenty thirty that is

613
00:29:06,760 --> 00:29:10,240
Speaker 2: crazily just around the corner. And in recent years this

614
00:29:10,280 --> 00:29:13,120
Speaker 2: has already happened. So some tech firms including Dropbox and

615
00:29:13,240 --> 00:29:16,280
Speaker 2: Dual Lingo have already made layoffs and said that they're

616
00:29:16,360 --> 00:29:19,560
Speaker 2: using AI to replace their human workforce. As I mentioned before,

617
00:29:19,600 --> 00:29:22,440
Speaker 2: this is really being piloted within the federal government workforce

618
00:29:22,520 --> 00:29:24,680
Speaker 2: right now to see how many humans you can replace

619
00:29:25,040 --> 00:29:29,480
Speaker 2: with AI. So I think the you know, it's it's here,

620
00:29:29,600 --> 00:29:32,360
Speaker 2: it's coming. It's going to reshape our economy, and it's

621
00:29:32,400 --> 00:29:34,280
Speaker 2: just a question of how we're going to deal with it.

622
00:29:34,400 --> 00:29:37,360
Speaker 2: And you know, we also now have a lot fewer

623
00:29:37,360 --> 00:29:40,120
Speaker 2: guardrails in place, not just in terms of the AI development,

624
00:29:40,120 --> 00:29:42,760
Speaker 2: which there weren't that many guardrails in place anyway, but

625
00:29:43,040 --> 00:29:47,600
Speaker 2: in terms of protecting people from fraud and speculatory bubbles

626
00:29:47,600 --> 00:29:50,520
Speaker 2: and all those sorts of things. Those guardrails are also

627
00:29:50,760 --> 00:29:58,840
Speaker 2: being obliterated at a rapid clip. John Stewart interviewed Hakeem Jeffries,

628
00:29:59,040 --> 00:30:01,560
Speaker 2: who is just one of the most worthless people you

629
00:30:01,560 --> 00:30:04,880
Speaker 2: could ever possibly imagine. I never imagined I would long

630
00:30:04,920 --> 00:30:07,280
Speaker 2: for the return of the days of Nancy Pelosi, and yet.

631
00:30:07,080 --> 00:30:10,960
Speaker 7: Here we are. So John asked him very.

632
00:30:10,960 --> 00:30:15,120
Speaker 2: Diplomatically, like Democrats say that they have a messaging problem,

633
00:30:15,160 --> 00:30:17,440
Speaker 2: but don't you kind of have like a reality and

634
00:30:17,520 --> 00:30:21,200
Speaker 2: policy problem. Hakim Jefferies has really no response to this.

635
00:30:21,320 --> 00:30:22,880
Speaker 2: Let's say a listen, where.

636
00:30:22,680 --> 00:30:26,800
Speaker 11: Is the Democrats Project twenty twenty five? Is that underway?

637
00:30:26,960 --> 00:30:31,080
Speaker 11: Is there? What's everything you're saying feels right to me?

638
00:30:31,160 --> 00:30:34,959
Speaker 11: The Democrats have to make this point. Where's the infrastructure

639
00:30:35,720 --> 00:30:40,400
Speaker 11: to do that? And who are the leaders taking charge

640
00:30:40,440 --> 00:30:45,200
Speaker 11: of that effort? Because when I listened to I believe

641
00:30:45,280 --> 00:30:46,200
Speaker 11: his name is Ken Martin.

642
00:30:46,360 --> 00:30:46,960
Speaker 1: Is that correct?

643
00:30:46,960 --> 00:30:47,959
Speaker 11: The next Nancy chair?

644
00:30:48,120 --> 00:30:48,600
Speaker 1: That's right?

645
00:30:50,160 --> 00:30:54,080
Speaker 11: He kept saying it's a messaging issue, as though, no,

646
00:30:54,240 --> 00:30:57,760
Speaker 11: everything's going right, you just don't realize it yet, as

647
00:30:57,760 --> 00:31:02,600
Speaker 11: opposed to we've gotten a way from New Deal values.

648
00:31:03,360 --> 00:31:04,560
Speaker 11: Does that make sense to you?

649
00:31:05,720 --> 00:31:07,960
Speaker 10: Well, I think there's a few things going on here. Yeah,

650
00:31:08,200 --> 00:31:11,760
Speaker 10: in terms of how we better communicate with the American people.

651
00:31:11,800 --> 00:31:15,240
Speaker 10: Maya Angelo said it best. People won't remember what you say,

652
00:31:15,920 --> 00:31:19,160
Speaker 10: they may not even remember what you do, but they

653
00:31:19,160 --> 00:31:22,000
Speaker 10: will always remember how you make them feel. And I

654
00:31:22,040 --> 00:31:24,320
Speaker 10: think what we have to do a better job of

655
00:31:24,760 --> 00:31:28,840
Speaker 10: is making the American people feel that we understand the

656
00:31:28,880 --> 00:31:31,960
Speaker 10: pain that they've been in economically.

657
00:31:32,480 --> 00:31:36,080
Speaker 2: So that is his diagnosis, and that we need to

658
00:31:36,520 --> 00:31:38,600
Speaker 2: change how we make the American.

659
00:31:38,200 --> 00:31:39,880
Speaker 1: People, how we make the American people.

660
00:31:39,960 --> 00:31:43,160
Speaker 2: Well, and remember, I mean the key to understanding this exchange,

661
00:31:43,200 --> 00:31:45,280
Speaker 2: this is the guy who just schlept to Silicon Valid

662
00:31:45,320 --> 00:31:47,520
Speaker 2: to beg the billionaires to get back in the Democratic Party.

663
00:31:48,360 --> 00:31:52,280
Speaker 2: So that's really the key to understanding where his priorities lie,

664
00:31:52,760 --> 00:31:58,040
Speaker 2: the clear path forward to actually rival you know, whatever

665
00:31:58,080 --> 00:32:00,440
Speaker 2: the Trumpian ideology is at this point, which appears to

666
00:32:00,440 --> 00:32:02,200
Speaker 2: be in our good capitalis. But in any case, to

667
00:32:02,360 --> 00:32:05,720
Speaker 2: rival their vision of the world, you have to go

668
00:32:05,800 --> 00:32:09,320
Speaker 2: after the billionaire class. You have to talk about wealth inequality.

669
00:32:09,360 --> 00:32:10,760
Speaker 2: You have to do it in a way that is

670
00:32:10,800 --> 00:32:13,360
Speaker 2: convincing to people when you have very little trust because

671
00:32:13,640 --> 00:32:17,360
Speaker 2: you have yourselves but fully into the money in politics

672
00:32:17,400 --> 00:32:20,880
Speaker 2: and corruption in politics game. So it's going to require

673
00:32:21,360 --> 00:32:25,080
Speaker 2: some bold stances. It's going to require completely casting off

674
00:32:25,560 --> 00:32:29,200
Speaker 2: that whole donor class. But not only is he you know,

675
00:32:29,240 --> 00:32:32,040
Speaker 2: I mean he's going in the pole or opposite direction.

676
00:32:32,120 --> 00:32:34,440
Speaker 2: And he's also just like the lamest person on the planet.

677
00:32:34,440 --> 00:32:36,640
Speaker 2: You know, this is the same guy that he was

678
00:32:36,680 --> 00:32:39,840
Speaker 2: asked something to the effect of, hey, people want to

679
00:32:39,880 --> 00:32:41,840
Speaker 2: see you guys doing more, Like what's your plan?

680
00:32:42,000 --> 00:32:44,120
Speaker 7: Is Like, well, g we're in the minority.

681
00:32:44,280 --> 00:32:46,959
Speaker 2: We don't really have any levers of power, gollig, what

682
00:32:47,000 --> 00:32:49,120
Speaker 2: could we possibly do? And actually, Bosh made a great

683
00:32:49,160 --> 00:32:51,480
Speaker 2: point on this. He was like, is that how Trump

684
00:32:51,520 --> 00:32:54,960
Speaker 2: responded to being literally out of office after he lost

685
00:32:54,960 --> 00:32:56,560
Speaker 2: the president? And you just go, oh, I guess I

686
00:32:56,600 --> 00:32:58,840
Speaker 2: can't do anything. I guess I can't say anything against it,

687
00:32:58,840 --> 00:33:02,320
Speaker 2: can't drive the narrative. Republicans ever respond to a loss

688
00:33:02,360 --> 00:33:04,560
Speaker 2: where they're in the minority by being like, well, gosh,

689
00:33:04,600 --> 00:33:06,320
Speaker 2: I guess there's a mandate and we're just going to

690
00:33:06,360 --> 00:33:08,080
Speaker 2: sit back and let them do them because gosh, what

691
00:33:08,080 --> 00:33:11,280
Speaker 2: can we really do anyway? So much of your power

692
00:33:11,600 --> 00:33:15,680
Speaker 2: actually doesn't come from these levers of government, even though

693
00:33:15,800 --> 00:33:18,200
Speaker 2: that can be very powerful too, as we're experiencing in

694
00:33:18,240 --> 00:33:20,880
Speaker 2: real time. But a lot of power just simply comes

695
00:33:21,200 --> 00:33:24,400
Speaker 2: from being able to get out there and fight and

696
00:33:24,480 --> 00:33:27,960
Speaker 2: set a narrative and understand the attention economy, which this

697
00:33:28,000 --> 00:33:31,080
Speaker 2: person has no ability to do whatsoever but.

698
00:33:31,160 --> 00:33:32,600
Speaker 1: Fight on what see that's my point.

699
00:33:32,720 --> 00:33:34,360
Speaker 7: Well, and that is the problem for him.

700
00:33:34,400 --> 00:33:35,080
Speaker 1: You don't stand for it.

701
00:33:35,200 --> 00:33:37,720
Speaker 2: He doesn't stand for anything, and that is the core issue,

702
00:33:37,840 --> 00:33:39,720
Speaker 2: is like he is like, oh, I'm just going to

703
00:33:39,840 --> 00:33:43,520
Speaker 2: change how people feel somehow magically about the Democratic Party

704
00:33:43,720 --> 00:33:49,080
Speaker 2: without actually having a concrete adversarial agenda, your own divisive

705
00:33:49,200 --> 00:33:51,960
Speaker 2: agenda that you know is between the ninety nine percent

706
00:33:52,040 --> 00:33:54,120
Speaker 2: and the one percent the other thing and this made.

707
00:33:53,960 --> 00:33:55,840
Speaker 1: Me, But that's not possible, but this is my thing.

708
00:33:55,920 --> 00:33:57,320
Speaker 1: It's not structurally possible.

709
00:33:57,360 --> 00:33:59,400
Speaker 3: How can you be ninety nine and one when not

710
00:33:59,440 --> 00:34:01,320
Speaker 3: only the billy in your thing, but when most rich

711
00:34:01,360 --> 00:34:03,840
Speaker 3: people are Democrats, Like that's what I'm it doesn't it

712
00:34:04,320 --> 00:34:08,200
Speaker 3: cognizantly does not make any sense for the Democratic Coalition

713
00:34:08,360 --> 00:34:12,360
Speaker 3: because it's rich white people who are largely culturally Libs.

714
00:34:12,360 --> 00:34:13,319
Speaker 1: Like, what are they going to fight on?

715
00:34:13,719 --> 00:34:17,640
Speaker 3: You want to stage a protest over transgender kids get

716
00:34:17,719 --> 00:34:18,560
Speaker 3: not getting surgery?

717
00:34:18,800 --> 00:34:21,280
Speaker 7: Be my guests, I mean right now, what they're please,

718
00:34:21,840 --> 00:34:22,440
Speaker 7: please do it.

719
00:34:22,480 --> 00:34:25,000
Speaker 2: What they're mostly staging protests over, which are by and

720
00:34:25,080 --> 00:34:28,000
Speaker 2: large not being led by Democratic elites, but are in

721
00:34:28,080 --> 00:34:31,320
Speaker 2: some instances they're there. What they're staging protests against is

722
00:34:31,320 --> 00:34:33,279
Speaker 2: an oligarch taking over the government, and I.

723
00:34:33,200 --> 00:34:34,120
Speaker 7: Think that's pretty strong.

724
00:34:34,160 --> 00:34:36,920
Speaker 3: Biggest democratic protest I have seen is a bunch of

725
00:34:37,000 --> 00:34:40,320
Speaker 3: idiots in la taking over a street waving Mexican flags

726
00:34:40,360 --> 00:34:45,160
Speaker 3: demonstrating for illegal immigrants. New York City protests over transgender

727
00:34:45,239 --> 00:34:49,080
Speaker 3: children not getting hormones. I mean, you know, go ahead,

728
00:34:49,200 --> 00:34:52,920
Speaker 3: I guess I mean like after this election, police, go ahead.

729
00:34:52,760 --> 00:34:54,480
Speaker 2: You haven't fire Elon signs.

730
00:34:54,480 --> 00:34:57,360
Speaker 7: I mean that is imously it's my federal workers.

731
00:34:57,440 --> 00:35:00,360
Speaker 1: You're sat by a bunch of people in uh scar

732
00:35:00,440 --> 00:35:00,800
Speaker 1: or whatever.

733
00:35:00,840 --> 00:35:03,880
Speaker 2: That is not even true. I mean we as this

734
00:35:04,040 --> 00:35:06,359
Speaker 2: next step piece is going to prove to you. They're

735
00:35:06,400 --> 00:35:09,520
Speaker 2: all pissed off because they're getting thousands of calls to

736
00:35:09,560 --> 00:35:12,160
Speaker 2: their office of people from their constituents from around the

737
00:35:12,160 --> 00:35:14,360
Speaker 2: country who are saying, we want you to fight Elon,

738
00:35:14,920 --> 00:35:18,480
Speaker 2: we want you to do what That's the whole point

739
00:35:18,800 --> 00:35:21,480
Speaker 2: is that they cannot win with the current coalition of

740
00:35:21,520 --> 00:35:25,760
Speaker 2: increasingly like affluent people. They have to expand the coalition

741
00:35:25,880 --> 00:35:28,399
Speaker 2: if they're going to win. So how do you do that?

742
00:35:28,640 --> 00:35:31,000
Speaker 2: You have to have an alternative vision. Now do I

743
00:35:31,040 --> 00:35:33,840
Speaker 2: think that is likely to happen with people like Aikiem Jeffrey. No,

744
00:35:33,960 --> 00:35:36,719
Speaker 2: it's not going to happen with the Keem Jeffries at

745
00:35:36,719 --> 00:35:38,520
Speaker 2: the head of this party, which is kind of my

746
00:35:38,880 --> 00:35:41,280
Speaker 2: entire point. But if they want to only I forget

747
00:35:41,320 --> 00:35:44,600
Speaker 2: about winning again. If they want to actually compete with

748
00:35:44,640 --> 00:35:46,759
Speaker 2: a vision that is good for people, That is good

749
00:35:46,760 --> 00:35:49,840
Speaker 2: for working class people. That isn't about dividing the working class,

750
00:35:50,000 --> 00:35:52,759
Speaker 2: escapegoating people and handing power to the richest man on

751
00:35:52,760 --> 00:35:54,680
Speaker 2: the planet and letting him do whatever the hell that

752
00:35:54,719 --> 00:35:57,440
Speaker 2: he wants. If they want to do that, they're going

753
00:35:57,480 --> 00:35:59,520
Speaker 2: to have to break with Silicon Valley, They're going to

754
00:35:59,600 --> 00:36:01,120
Speaker 2: have to break with the billionaire class. They're going to

755
00:36:01,160 --> 00:36:02,680
Speaker 2: have to break with the donor class and do it

756
00:36:02,719 --> 00:36:04,800
Speaker 2: in a way that was credible. So, like I was

757
00:36:04,800 --> 00:36:07,400
Speaker 2: saying before, this is a a shameless self promotion. I'm

758
00:36:07,440 --> 00:36:10,319
Speaker 2: on TikTok now Chris of all One, and this drove

759
00:36:10,400 --> 00:36:14,680
Speaker 2: me absolutely insane. Apparently the people that they're getting really

760
00:36:14,719 --> 00:36:18,759
Speaker 2: pissed off at, Hakeem Jeffries of the world are not Elon.

761
00:36:18,520 --> 00:36:19,399
Speaker 7: And Trump per se.

762
00:36:19,840 --> 00:36:24,040
Speaker 2: It's the grassroots voters who are calling their offices and

763
00:36:24,160 --> 00:36:28,319
Speaker 2: wanting them to show some life and do more in

764
00:36:28,360 --> 00:36:31,040
Speaker 2: this era. So let's take a listen to some of

765
00:36:31,080 --> 00:36:34,520
Speaker 2: the details here from my TikTok Huge news guys hackem

766
00:36:34,600 --> 00:36:38,080
Speaker 2: Jeffries and other Democratic leaders are finally getting fed up,

767
00:36:38,120 --> 00:36:42,600
Speaker 2: They are getting angry. They are fighting back against grassroots

768
00:36:42,719 --> 00:36:45,399
Speaker 2: voters who are calling their office and demanding a more

769
00:36:45,440 --> 00:36:49,760
Speaker 2: confrontational approach to Elon and Trump's illegal coup power grab

770
00:36:49,840 --> 00:36:52,640
Speaker 2: of our government. Listen to Axios here. This is unbelievable.

771
00:36:53,000 --> 00:36:57,960
Speaker 2: Members of Steering Committee, including Haqem Jeffries, complained that activist

772
00:36:58,000 --> 00:37:01,400
Speaker 2: groups like move On an Indivisible have facilitated thousands of

773
00:37:01,400 --> 00:37:04,320
Speaker 2: phone calls to members offices. People are pissed. A senior

774
00:37:04,400 --> 00:37:08,839
Speaker 2: House Democrat said that Democrats said Jeffreys himself is very frustrated.

775
00:37:09,200 --> 00:37:12,879
Speaker 2: Frustrated not at Elon, not at Trump, not that they're

776
00:37:12,880 --> 00:37:16,560
Speaker 2: Republican enablers, but at quote the groups who are trying

777
00:37:16,600 --> 00:37:21,919
Speaker 2: to stir up a more confrontational opposition to Trump. These

778
00:37:21,960 --> 00:37:25,680
Speaker 2: people have got to go call their offices, but more importantly,

779
00:37:25,719 --> 00:37:28,080
Speaker 2: primary them, because they are letting this country slip into

780
00:37:28,160 --> 00:37:32,919
Speaker 2: authoritarianism by the minute. I've never seen liberals as mad

781
00:37:33,040 --> 00:37:35,600
Speaker 2: at like this. This is one thing that is really

782
00:37:35,640 --> 00:37:38,600
Speaker 2: different from Trump one point zero. Okay, Trump one point zero.

783
00:37:38,800 --> 00:37:41,560
Speaker 2: You remember Nancy Pelosi, her clap, Remember her wearing the

784
00:37:41,600 --> 00:37:44,400
Speaker 2: sunglasses in the red coat like she was girl boss.

785
00:37:44,480 --> 00:37:47,000
Speaker 2: They loved her, They love Adam Shift. They were all

786
00:37:47,040 --> 00:37:49,680
Speaker 2: in for democratic leadership, right. They thought these were people

787
00:37:49,680 --> 00:37:54,480
Speaker 2: were heroes. That is totally different this time around. They

788
00:37:54,520 --> 00:37:59,160
Speaker 2: are disgusted with the democratic leadership, and there is a

789
00:37:59,280 --> 00:38:03,120
Speaker 2: lot of talk of like a Lib Dem tea party

790
00:38:03,160 --> 00:38:05,000
Speaker 2: movement to prior the primary.

791
00:38:05,040 --> 00:38:06,359
Speaker 7: These people who are remember.

792
00:38:06,040 --> 00:38:08,560
Speaker 2: Soccer like they were right there saying Trump is an

793
00:38:08,560 --> 00:38:09,680
Speaker 2: authoritarian threat.

794
00:38:10,200 --> 00:38:11,440
Speaker 7: Trump is a fascist threat.

795
00:38:11,600 --> 00:38:14,440
Speaker 2: And now that we're here and they're actually doing like

796
00:38:14,480 --> 00:38:17,719
Speaker 2: an authoritarian takeover the government, they're like, well, we don't

797
00:38:17,719 --> 00:38:21,319
Speaker 2: how many power and the energy does not match what

798
00:38:21,440 --> 00:38:24,360
Speaker 2: they claimed the threat and the reality was, and people

799
00:38:24,360 --> 00:38:25,600
Speaker 2: are right to be disgusted with that.

800
00:38:25,640 --> 00:38:28,080
Speaker 7: People are right to say, you people are losers.

801
00:38:28,080 --> 00:38:29,799
Speaker 2: The only thing you're good at is like sucking up

802
00:38:29,840 --> 00:38:32,439
Speaker 2: to donors in Silicon Valley, and we actually want people

803
00:38:32,440 --> 00:38:34,240
Speaker 2: who are at least going to put up a fight.

804
00:38:34,640 --> 00:38:37,880
Speaker 2: So that is the one thing that is really different

805
00:38:38,160 --> 00:38:41,719
Speaker 2: this time around from last time is the level of

806
00:38:42,239 --> 00:38:47,279
Speaker 2: liberal disenchantment with their previous media and democratic establishment. Politician

807
00:38:47,480 --> 00:38:50,879
Speaker 2: heroes is a one to eighty from how it.

808
00:38:50,800 --> 00:38:52,719
Speaker 3: Was last I don't know, but look, I don't like

809
00:38:52,719 --> 00:38:54,760
Speaker 3: to blame the voters, but shouldn't they kind of blame themselves.

810
00:38:54,760 --> 00:38:56,880
Speaker 3: They're the ones who push Russiagate, which their leaders did.

811
00:38:56,960 --> 00:39:00,000
Speaker 3: They're the ones who pushed fascism and illegitimacy, which they

812
00:39:00,200 --> 00:39:02,399
Speaker 3: leaders did, and they lost. I mean, they're the ones

813
00:39:02,400 --> 00:39:05,879
Speaker 3: who demanded being like pro open borders and free health

814
00:39:05,880 --> 00:39:09,120
Speaker 3: care for illegals, and then people turned against it. It's like, Okay,

815
00:39:09,200 --> 00:39:10,080
Speaker 3: elections have content.

816
00:39:10,200 --> 00:39:11,560
Speaker 1: Actually, what are we supposed to do?

817
00:39:11,719 --> 00:39:15,319
Speaker 2: I have come to so I still object to the

818
00:39:15,480 --> 00:39:17,840
Speaker 2: Russia gay resistance because it was not actual.

819
00:39:18,360 --> 00:39:19,480
Speaker 7: I don't know that it didn't work.

820
00:39:19,920 --> 00:39:22,480
Speaker 2: They won in twenty eighteen, they won in twenty twenty.

821
00:39:22,800 --> 00:39:25,120
Speaker 2: That was at the fight that was the height of

822
00:39:26,120 --> 00:39:27,960
Speaker 2: Russia Gate like resistance.

823
00:39:28,000 --> 00:39:31,359
Speaker 1: Then the thing was revealed to be bullshit, like they

824
00:39:31,440 --> 00:39:33,000
Speaker 1: put no again.

825
00:39:33,080 --> 00:39:36,400
Speaker 2: I'm not advocating for like concoct another Russia Gate, but

826
00:39:36,440 --> 00:39:40,879
Speaker 2: I am saying that that strategy of maximum media and

827
00:39:41,239 --> 00:39:44,560
Speaker 2: democratic politician resistance pushback.

828
00:39:45,000 --> 00:39:47,239
Speaker 7: I actually think it did work in Interni period. It

829
00:39:47,320 --> 00:39:49,000
Speaker 7: kept his approval.

830
00:39:49,080 --> 00:39:53,080
Speaker 2: With Trump's approval rating now is at the highest it's been.

831
00:39:53,239 --> 00:39:55,040
Speaker 2: It's still not that great, but it's at the highest

832
00:39:55,040 --> 00:39:59,040
Speaker 2: it's been. They successfully kept him underwater that entire time

833
00:39:59,480 --> 00:40:04,400
Speaker 2: through really not great or particularly like effective line of attack,

834
00:40:04,960 --> 00:40:07,680
Speaker 2: just because they were allowed, and they were aggressive, and

835
00:40:07,719 --> 00:40:10,960
Speaker 2: they were protesting, and they were you know, they the

836
00:40:11,080 --> 00:40:13,560
Speaker 2: media figures were out there making the case and telling

837
00:40:13,600 --> 00:40:16,440
Speaker 2: this larger story, et cetera. And so I don't know

838
00:40:16,440 --> 00:40:18,239
Speaker 2: that it's really the right lesson to take that that

839
00:40:18,320 --> 00:40:21,239
Speaker 2: quote unquote didn't work when they won in twenty ten,

840
00:40:21,280 --> 00:40:22,920
Speaker 2: and they won in twenty two while they were doing that.

841
00:40:22,840 --> 00:40:25,000
Speaker 3: Though, because whenever it was revealed to be bullshit, then

842
00:40:25,040 --> 00:40:27,480
Speaker 3: they lost all their credibility with a broad swath of

843
00:40:27,560 --> 00:40:29,959
Speaker 3: swing voter. So you actually have to pick something which

844
00:40:30,000 --> 00:40:31,439
Speaker 3: is real, sure else, I mean.

845
00:40:31,440 --> 00:40:33,920
Speaker 2: Yes, I agree, but I actually do think that it

846
00:40:33,960 --> 00:40:34,759
Speaker 2: was better it was.

847
00:40:34,880 --> 00:40:35,719
Speaker 7: Here's what I will say.

848
00:40:36,080 --> 00:40:38,960
Speaker 2: I actually think it was more effective politically to do

849
00:40:39,040 --> 00:40:42,520
Speaker 2: a mass resistance even on something that was bullshit, versus

850
00:40:42,560 --> 00:40:43,320
Speaker 2: not doing anything.

851
00:40:43,400 --> 00:40:44,759
Speaker 1: That's what I'm saying. I don't know.

852
00:40:44,840 --> 00:40:47,040
Speaker 3: I see this is where again, like if I'm a

853
00:40:47,040 --> 00:40:50,840
Speaker 3: Democratic leader and I got and I listened to my shit.

854
00:40:50,600 --> 00:40:52,640
Speaker 1: Lib voters for the last six years, I.

855
00:40:52,640 --> 00:40:55,560
Speaker 3: Did everything that they wanted me to do and I

856
00:40:55,800 --> 00:40:58,560
Speaker 3: got blown out in the election, maybe they don't have

857
00:40:58,640 --> 00:41:00,960
Speaker 3: very good instincts. This is look again, I mean, if

858
00:41:01,000 --> 00:41:03,560
Speaker 3: we think back to the Tea Party era, a lot

859
00:41:03,600 --> 00:41:05,960
Speaker 3: of Tea There was so much Tea Party anger over

860
00:41:06,040 --> 00:41:09,400
Speaker 3: Obamacare and all this stuff. It's like, well, yeah, it

861
00:41:09,520 --> 00:41:12,720
Speaker 3: led to the midterms winning, but arguably it led also

862
00:41:12,760 --> 00:41:16,439
Speaker 3: to Obama winning the twenty twelve election because you could argue,

863
00:41:16,480 --> 00:41:17,799
Speaker 3: I'm going to be I'm not going to be like

864
00:41:17,840 --> 00:41:20,200
Speaker 3: these crazy people turning to sabotage the debt ceiling er

865
00:41:20,520 --> 00:41:22,879
Speaker 3: take away your health care. So I'm not so sure

866
00:41:22,880 --> 00:41:25,600
Speaker 3: if the correct answer is to listen to the most

867
00:41:25,880 --> 00:41:28,080
Speaker 3: like stringent part of I mean, I think what the

868
00:41:28,120 --> 00:41:31,600
Speaker 3: Democrats are grappling with is not having institutional control for

869
00:41:31,640 --> 00:41:33,759
Speaker 3: the first time in twenty years. Like, what it is

870
00:41:33,760 --> 00:41:36,640
Speaker 3: is that Democrats, the hard and soul of the Democratic

871
00:41:36,719 --> 00:41:40,120
Speaker 3: Party is HR like, that's what it is, the HR liberal.

872
00:41:40,160 --> 00:41:42,120
Speaker 3: It's the tut tutting and they've the ones who have

873
00:41:42,200 --> 00:41:44,880
Speaker 3: turned themselves into that. And for the first time in

874
00:41:44,920 --> 00:41:48,680
Speaker 3: their lives, they're not in control of media narrative. And

875
00:41:48,719 --> 00:41:52,319
Speaker 3: they've genuinely been rejected definitively at the ballot box by

876
00:41:52,560 --> 00:41:54,879
Speaker 3: at the very least they lost popular vote. Yes they didn't,

877
00:41:55,680 --> 00:41:58,080
Speaker 3: they lost by one percent or whatever. But they're not

878
00:41:58,280 --> 00:42:01,759
Speaker 3: in control in the way that they've been for decades.

879
00:42:02,040 --> 00:42:05,080
Speaker 3: That's what I think is fueling the neuroses. They're like,

880
00:42:05,120 --> 00:42:07,520
Speaker 3: but what about but what about Like you can't just

881
00:42:07,600 --> 00:42:09,520
Speaker 3: fire me, you know, we have to go through process.

882
00:42:09,560 --> 00:42:13,160
Speaker 3: They love process, they love bureaucracy. That's what dei hr

883
00:42:13,280 --> 00:42:15,680
Speaker 3: all of that is all about. Especially it aligns very

884
00:42:15,680 --> 00:42:18,120
Speaker 3: well with the consultant, the guy making two hundred and

885
00:42:18,120 --> 00:42:20,000
Speaker 3: fifty thousand dollars a year, but he's got a BLM

886
00:42:20,280 --> 00:42:22,600
Speaker 3: and a Pride flag out on his lawn. But who's

887
00:42:22,600 --> 00:42:25,960
Speaker 3: also a nimby, right, Like this is this is something

888
00:42:26,040 --> 00:42:30,880
Speaker 3: that is a cultural transition in terms of the Trump victory.

889
00:42:30,960 --> 00:42:32,920
Speaker 1: So that's what I think they're reacting to.

890
00:42:33,040 --> 00:42:35,880
Speaker 3: I don't know if they're reacting in terms of something

891
00:42:36,080 --> 00:42:39,040
Speaker 3: policy wise. I don't know if the democratic politician is

892
00:42:39,120 --> 00:42:42,160
Speaker 3: wrong to not trust that person's political instincts.

893
00:42:42,239 --> 00:42:44,160
Speaker 7: So you think Kim Jefferies is doing the right thing.

894
00:42:44,160 --> 00:42:46,600
Speaker 2: I'm not running a Silicon valley and ignoring the people

895
00:42:46,600 --> 00:42:48,680
Speaker 2: who are saying that's not why don't you go after

896
00:42:48,680 --> 00:42:49,480
Speaker 2: the oligarchs?

897
00:42:49,600 --> 00:42:53,359
Speaker 1: Why that's the thing that is No, it's not that's

898
00:42:53,600 --> 00:42:55,759
Speaker 1: they love Mark Cubans love of.

899
00:42:55,800 --> 00:42:59,239
Speaker 2: People are calling their office and saying you need to

900
00:42:59,320 --> 00:43:03,120
Speaker 2: go after these oligarchs. You have to go after these billionaires.

901
00:43:03,320 --> 00:43:06,560
Speaker 2: That is what the entire wave of resistance is all

902
00:43:06,600 --> 00:43:07,399
Speaker 2: about right now.

903
00:43:07,600 --> 00:43:08,440
Speaker 7: Now, what I.

904
00:43:08,400 --> 00:43:12,320
Speaker 2: Will say is, I think where the what the liberal

905
00:43:12,360 --> 00:43:16,760
Speaker 2: base was sold. Instead of an actual you know, agenda

906
00:43:16,840 --> 00:43:22,279
Speaker 2: about labor economics, wages, like getting rid of money in politics,

907
00:43:22,719 --> 00:43:26,960
Speaker 2: ending the dominance of oligarchs in American society, what they

908
00:43:27,000 --> 00:43:29,399
Speaker 2: were sold was a bunch of culture war bullshit. That's

909
00:43:29,440 --> 00:43:31,640
Speaker 2: where Hillary Clinton comes in. That's how they crushed the

910
00:43:31,640 --> 00:43:34,400
Speaker 2: Bernie Sanders movement. By the way, that's exactly what's happening

911
00:43:34,440 --> 00:43:37,359
Speaker 2: on the right right now. Is any inkling of oh,

912
00:43:37,360 --> 00:43:39,040
Speaker 2: we're going to be pro labor, We're going to be

913
00:43:39,160 --> 00:43:42,000
Speaker 2: pro like, you know, anti trust enforcement. We're going to

914
00:43:42,040 --> 00:43:44,200
Speaker 2: be in favor of the little guy that is being

915
00:43:44,280 --> 00:43:47,680
Speaker 2: wiped clean, in favor of a pro oligarch agenda with

916
00:43:47,800 --> 00:43:50,000
Speaker 2: some culture war bullshit layered on top.

917
00:43:50,120 --> 00:43:52,520
Speaker 7: Okay, that's what the liberal base was sold.

918
00:43:53,000 --> 00:43:57,640
Speaker 2: They are now those people have realized that that way

919
00:43:58,080 --> 00:44:00,000
Speaker 2: of going about business was a disaster.

920
00:44:00,560 --> 00:44:03,640
Speaker 7: That it has led to that. It is absolutely true.

921
00:44:03,760 --> 00:44:06,120
Speaker 2: That is why they have broken so heavily with the

922
00:44:06,239 --> 00:44:09,000
Speaker 2: MSNBC's of the World. That is why they have broken

923
00:44:09,040 --> 00:44:13,120
Speaker 2: so heavily with the Democratic elite leaders. So, you know,

924
00:44:13,400 --> 00:44:16,520
Speaker 2: that's that's how we get to this point where the

925
00:44:16,719 --> 00:44:20,760
Speaker 2: Democratic leaders want to continue sucking up to Silicon Valley Valley,

926
00:44:21,080 --> 00:44:25,440
Speaker 2: want to continue the status quo and have complete contempt

927
00:44:25,719 --> 00:44:29,480
Speaker 2: for the actual grassroots voters in the party and are

928
00:44:29,520 --> 00:44:32,680
Speaker 2: more disgusted with them than with the billionaire class. That's

929
00:44:32,719 --> 00:44:34,600
Speaker 2: where the rural problem is, and that's where risk comes

930
00:44:34,600 --> 00:44:37,640
Speaker 2: in for them because previously they were able to enforce

931
00:44:37,880 --> 00:44:42,680
Speaker 2: absolute uniform conformity among most of the base because they

932
00:44:42,680 --> 00:44:45,280
Speaker 2: had these media organs, because they had this theory about

933
00:44:45,320 --> 00:44:47,520
Speaker 2: this is the way we beat Trump, et cetera. That

934
00:44:47,600 --> 00:44:51,479
Speaker 2: has all fallen apart. So there is an anger out

935
00:44:51,480 --> 00:44:57,520
Speaker 2: there in the Democratic base voter visa the these this

936
00:44:57,760 --> 00:45:00,440
Speaker 2: leadership class because of their failure to stand up to

937
00:45:00,560 --> 00:45:01,520
Speaker 2: Trump and Elon.

938
00:45:01,880 --> 00:45:03,439
Speaker 7: That is very different from how.

939
00:45:03,360 --> 00:45:04,760
Speaker 1: Well I think they're mad at Elon.

940
00:45:05,000 --> 00:45:07,759
Speaker 3: I don't think they care about billionaires or oligarchy at all.

941
00:45:07,800 --> 00:45:09,359
Speaker 3: I think they just don't like Elon and they think

942
00:45:09,360 --> 00:45:12,400
Speaker 3: he's offensive. I'm not kidding. I think that culturally, the

943
00:45:12,440 --> 00:45:14,719
Speaker 3: way he conducts himself to move fast and break things

944
00:45:15,120 --> 00:45:17,360
Speaker 3: is counter to what I just said about the hr

945
00:45:17,760 --> 00:45:21,799
Speaker 3: process bureaucrat, which is ultimately who these people are, and

946
00:45:21,840 --> 00:45:26,279
Speaker 3: that's their religion. So that's why they don't care about oligarchy.

947
00:45:26,280 --> 00:45:29,920
Speaker 3: If it was Mark Cuban with his glasses on explaining

948
00:45:29,960 --> 00:45:32,400
Speaker 3: to them how actually right the process.

949
00:45:33,080 --> 00:45:36,120
Speaker 2: You're actually really wrong about the Democratic base versus the

950
00:45:36,120 --> 00:45:40,600
Speaker 2: Republican But if you pull them on every issue, Democratic

951
00:45:40,680 --> 00:45:45,840
Speaker 2: voters are more confrontational visa vi capital, they are more

952
00:45:46,760 --> 00:45:47,319
Speaker 2: left wing.

953
00:45:47,400 --> 00:45:51,520
Speaker 1: That's what they say when it comes down in practice true.

954
00:45:50,480 --> 00:45:52,480
Speaker 2: But how can I mean if you're just looking at

955
00:45:52,480 --> 00:45:53,960
Speaker 2: the base and you're looking at the base of the

956
00:45:53,960 --> 00:45:57,440
Speaker 2: two parties, they are way more adversarial towards the billionaire

957
00:45:57,440 --> 00:46:02,200
Speaker 2: class than Republicans are. So there is a huge distance

958
00:46:02,360 --> 00:46:06,360
Speaker 2: between how they want Democratic leadership to approach these issues

959
00:46:06,560 --> 00:46:10,600
Speaker 2: and how you know, the leaders are actually approaching these issues.

960
00:46:10,800 --> 00:46:13,160
Speaker 2: So it has led to a massive schizem. I mean,

961
00:46:13,200 --> 00:46:15,399
Speaker 2: there's just no doubt about it. And yeah, they don't

962
00:46:15,440 --> 00:46:16,719
Speaker 2: like Elon for probably some.

963
00:46:16,680 --> 00:46:17,080
Speaker 1: Of the reasons.

964
00:46:17,160 --> 00:46:19,960
Speaker 7: That's okay, but they are there.

965
00:46:19,840 --> 00:46:26,080
Speaker 2: Is a has long been more antipathy towards billionaires, wealth, inequality,

966
00:46:26,200 --> 00:46:28,279
Speaker 2: et cetera on the Democratic side than the.

967
00:46:28,280 --> 00:46:33,040
Speaker 3: Republicanstic white like, oh, yes, we need to fix wealth

968
00:46:33,080 --> 00:46:34,160
Speaker 3: inequality while.

969
00:46:34,000 --> 00:46:37,040
Speaker 2: I live in mind, you overstate the realignment too. I mean,

970
00:46:37,040 --> 00:46:39,279
Speaker 2: what percent of black voters went for Trump this time?

971
00:46:39,320 --> 00:46:40,440
Speaker 1: I probably twenty percent.

972
00:46:40,520 --> 00:46:42,319
Speaker 2: Now I don't think it was even that maybe, so

973
00:46:42,800 --> 00:46:45,320
Speaker 2: to say it is always just all like affluent white people,

974
00:46:45,520 --> 00:46:46,600
Speaker 2: that is important the.

975
00:46:46,600 --> 00:46:49,279
Speaker 1: College I left out elderly blacks. You're right, elderly blacks

976
00:46:49,320 --> 00:46:50,560
Speaker 1: are also a Democratic.

977
00:46:50,880 --> 00:46:53,759
Speaker 2: Some eighty percent of black voters still a you know,

978
00:46:54,040 --> 00:46:57,960
Speaker 2: large proportion of Latinos, still a majority of young people.

979
00:46:58,280 --> 00:47:01,239
Speaker 7: So just don't you're so you're being very one dimensional.

980
00:47:01,520 --> 00:47:03,560
Speaker 2: It would be like if I said everyone who supports

981
00:47:03,640 --> 00:47:05,440
Speaker 2: NAGA is like a redneck in Alabama.

982
00:47:05,520 --> 00:47:07,000
Speaker 7: Enough, Okay, but it's not true.

983
00:47:07,280 --> 00:47:10,440
Speaker 2: There's a lot of varied constituencies that go into this party.

984
00:47:10,480 --> 00:47:13,240
Speaker 3: I think I have a lot of different in powerful base,

985
00:47:13,400 --> 00:47:16,960
Speaker 3: Like the activist Democrat is the dei liberal. Like that's

986
00:47:17,000 --> 00:47:19,160
Speaker 3: true now, for there are a lot of elderly blacks

987
00:47:19,160 --> 00:47:21,960
Speaker 3: and Hispanics and other working class folks which back them.

988
00:47:21,960 --> 00:47:24,879
Speaker 3: But if you look at the managerial element, the people

989
00:47:24,880 --> 00:47:27,640
Speaker 3: who have the ability to push the agenda, the people

990
00:47:27,640 --> 00:47:30,040
Speaker 3: who work in Washington all that, that's where it all

991
00:47:30,239 --> 00:47:32,279
Speaker 3: comes from. And guess that's where look. And that's also

992
00:47:32,480 --> 00:47:34,640
Speaker 3: my personal experience dealing with the demo.

993
00:47:34,920 --> 00:47:37,200
Speaker 2: You live in Alexandria, but of course, like that's of

994
00:47:37,200 --> 00:47:39,680
Speaker 2: course those are your neighbors. But that is a tiny

995
00:47:39,680 --> 00:47:41,120
Speaker 2: slivery and the entire entry.

996
00:47:41,160 --> 00:47:42,759
Speaker 1: They're the ones who run the party. They're the ones

997
00:47:42,760 --> 00:47:43,719
Speaker 1: who run all of this shit.

998
00:47:43,880 --> 00:47:47,480
Speaker 3: So when I and I've watched their cultural obsessions and

999
00:47:47,520 --> 00:47:50,399
Speaker 3: all that take over the entire thing. Now, I think

1000
00:47:50,440 --> 00:47:54,360
Speaker 3: the question mark again is do they legitimately care about

1001
00:47:54,680 --> 00:47:55,080
Speaker 3: you know, the.

1002
00:47:55,160 --> 00:47:56,319
Speaker 1: Ninety nine percent of all them.

1003
00:47:56,400 --> 00:47:59,719
Speaker 3: I just am deeply skeptical because look at the way

1004
00:47:59,719 --> 00:48:03,240
Speaker 3: that Cuban was like a resistance figure, you know under

1005
00:48:03,360 --> 00:48:06,799
Speaker 3: Kamala and he was willing to get sec Like, look,

1006
00:48:06,880 --> 00:48:08,919
Speaker 3: we had four years of a democratic president. They didn't

1007
00:48:08,960 --> 00:48:12,600
Speaker 3: close the capital gains loophole. Kristen Cinema, the Democratic senator,

1008
00:48:12,840 --> 00:48:14,920
Speaker 3: and Joe Manchin of the people who voted against that.

1009
00:48:14,960 --> 00:48:17,839
Speaker 3: It's like in practice and the reality of it, sure,

1010
00:48:17,920 --> 00:48:20,520
Speaker 3: NLRB or whatever, And I'm not arguing that there isn't

1011
00:48:20,520 --> 00:48:23,960
Speaker 3: a genuine difference on economic policy I'm saying, is this

1012
00:48:24,040 --> 00:48:28,600
Speaker 3: a genuine ninety nine percent Occupy Wall Street type movement

1013
00:48:28,680 --> 00:48:29,560
Speaker 3: right now against Elon?

1014
00:48:29,719 --> 00:48:31,600
Speaker 1: I really don't think so. I think all of it

1015
00:48:31,640 --> 00:48:32,240
Speaker 1: is cultural.

1016
00:48:32,480 --> 00:48:34,800
Speaker 3: All of it comes down to the disregard for process,

1017
00:48:35,040 --> 00:48:37,719
Speaker 3: the offensiveness. That's what Trump Also, what do they hate

1018
00:48:37,760 --> 00:48:40,200
Speaker 3: the most about Trump? He's uncouth, the way he talks.

1019
00:48:40,480 --> 00:48:42,520
Speaker 3: I don't think a lot of it is policy based

1020
00:48:42,560 --> 00:48:45,000
Speaker 3: per se. And when they want their resistance, they wanted

1021
00:48:45,040 --> 00:48:46,960
Speaker 3: to be dressed up in the similar way that Russia

1022
00:48:47,000 --> 00:48:50,640
Speaker 3: Gate was of this like grand fight, but they problems.

1023
00:48:50,280 --> 00:48:50,759
Speaker 7: Is that fight?

1024
00:48:51,120 --> 00:48:52,759
Speaker 1: But they picked But that's what I'm saying.

1025
00:48:52,760 --> 00:48:54,920
Speaker 3: They lost their credibility because the last one that they

1026
00:48:54,960 --> 00:48:57,000
Speaker 3: the last time they tried this, it was a fake

1027
00:48:57,520 --> 00:48:58,400
Speaker 3: argument that they.

1028
00:48:58,280 --> 00:48:59,800
Speaker 1: Made and they don't know how.

1029
00:48:59,680 --> 00:49:02,240
Speaker 2: This is a real argue. But this is a real argument.

1030
00:49:02,600 --> 00:49:05,680
Speaker 2: And so listen, I think you're right that, like, you know,

1031
00:49:06,120 --> 00:49:08,960
Speaker 2: am I going to frame these people as like Occupy

1032
00:49:09,040 --> 00:49:10,759
Speaker 2: Wall Street ninety nine percent ers and what?

1033
00:49:11,000 --> 00:49:11,160
Speaker 1: No?

1034
00:49:11,480 --> 00:49:18,200
Speaker 2: But is there a clear overlap between an anti billionaire

1035
00:49:18,440 --> 00:49:20,080
Speaker 2: vision of the country. I mean you even have like

1036
00:49:20,239 --> 00:49:23,520
Speaker 2: random regular Democrats being like, oh, Bernie was right about everything.

1037
00:49:23,560 --> 00:49:26,840
Speaker 2: I mean, there is a realization that the way to

1038
00:49:26,920 --> 00:49:31,960
Speaker 2: combat Trumpism was through a populist left direction. And so

1039
00:49:32,239 --> 00:49:34,400
Speaker 2: even if they don't care about, like, you know, the

1040
00:49:34,440 --> 00:49:37,080
Speaker 2: issues the way that I do, there is a recognition

1041
00:49:37,440 --> 00:49:40,919
Speaker 2: of that was the correct political path number one. Number two,

1042
00:49:41,000 --> 00:49:43,879
Speaker 2: if you are going to have a prayer of rebuilding

1043
00:49:44,280 --> 00:49:47,160
Speaker 2: the working class base of the party and expanding the

1044
00:49:47,200 --> 00:49:49,439
Speaker 2: coalition and bringing back in some of the young people

1045
00:49:49,480 --> 00:49:51,080
Speaker 2: that were lost, et cetera, that is.

1046
00:49:51,080 --> 00:49:52,399
Speaker 7: The tack you have to take.

1047
00:49:52,880 --> 00:49:55,880
Speaker 2: And that's where I think the realization is with the

1048
00:49:55,920 --> 00:49:59,479
Speaker 2: democratic base of like, you people aren't up to the fight.

1049
00:49:59,560 --> 00:50:00,720
Speaker 7: You're not a to the challenge.

1050
00:50:00,800 --> 00:50:03,160
Speaker 2: You're not you know, you are not fighting back the

1051
00:50:03,200 --> 00:50:05,440
Speaker 2: way that we want to see you. And let's put

1052
00:50:05,520 --> 00:50:08,120
Speaker 2: up actually the poll that we have that shows you

1053
00:50:08,160 --> 00:50:13,239
Speaker 2: that this shift has happened actually quite recently. So originally

1054
00:50:13,280 --> 00:50:17,239
Speaker 2: in January, Democrats were kind of split about whether or

1055
00:50:17,280 --> 00:50:20,240
Speaker 2: not congressional Democrats should oppose Trump as much as possible

1056
00:50:20,280 --> 00:50:22,239
Speaker 2: or try to find common ground. In fact, you had

1057
00:50:22,280 --> 00:50:25,400
Speaker 2: fifty four percent who were like, let's work together. And

1058
00:50:25,440 --> 00:50:28,120
Speaker 2: this does speak to these sort of like democrats always

1059
00:50:28,160 --> 00:50:30,760
Speaker 2: looking for like bipartisanship and let's be nice and cordial

1060
00:50:30,800 --> 00:50:34,879
Speaker 2: and whatever. That has really flipped. And that's what I'm

1061
00:50:34,880 --> 00:50:38,560
Speaker 2: talking about. With this more aggressive energy and being extremely

1062
00:50:38,600 --> 00:50:42,839
Speaker 2: disenchanted with the Democratic Party leadership, that creates creates an

1063
00:50:42,920 --> 00:50:46,840
Speaker 2: opening that there will be a challenge to Democratic Party

1064
00:50:46,920 --> 00:50:49,240
Speaker 2: leaders that we did that there would be some form

1065
00:50:49,320 --> 00:50:51,120
Speaker 2: of like a Democratic tea party that we did not

1066
00:50:51,200 --> 00:50:53,719
Speaker 2: see anything like in the first term. So now you've

1067
00:50:53,719 --> 00:50:57,239
Speaker 2: got sixty five percent, so jump in twenty points in

1068
00:50:57,320 --> 00:50:59,839
Speaker 2: a month saying you should be opposing Trump as much

1069
00:50:59,840 --> 00:51:02,160
Speaker 2: as possible, versus thirty five percent who say, try to

1070
00:51:02,200 --> 00:51:05,359
Speaker 2: find common ground. And that's all I'm trying to point

1071
00:51:05,360 --> 00:51:08,799
Speaker 2: to is for the first time, there is a real

1072
00:51:08,920 --> 00:51:14,680
Speaker 2: break between democratic leadership and media figures and the Democratic base.

1073
00:51:15,040 --> 00:51:19,080
Speaker 2: And that is different, and it creates a possibility that

1074
00:51:19,120 --> 00:51:21,040
Speaker 2: did not exist in the first Trump administration.

1075
00:51:21,120 --> 00:51:22,200
Speaker 1: I will grant you that.

1076
00:51:22,400 --> 00:51:25,080
Speaker 3: I just think considering how these people love to follow

1077
00:51:25,239 --> 00:51:28,359
Speaker 3: orders and in general have a lot of deference to

1078
00:51:28,440 --> 00:51:31,160
Speaker 3: their leaders. I mean, who is the likely person who

1079
00:51:31,520 --> 00:51:33,760
Speaker 3: would you put your money on to be the next

1080
00:51:34,040 --> 00:51:36,360
Speaker 3: not Democratic nominee per se, but some of the emerging

1081
00:51:36,600 --> 00:51:40,640
Speaker 3: resistance figures just JB. Pritzker, literal billionaire Pete, Bootage Edge

1082
00:51:40,800 --> 00:51:41,880
Speaker 3: Wine Cave Pete.

1083
00:51:41,960 --> 00:51:42,799
Speaker 1: I mean the.

1084
00:51:43,320 --> 00:51:46,120
Speaker 3: Track of who they have their trust in, who can

1085
00:51:46,200 --> 00:51:48,879
Speaker 3: like beat their chest strongly and give them a bunch

1086
00:51:48,920 --> 00:51:52,680
Speaker 3: of rhetoric, doesn't portend for some ninety nine percent Bernie

1087
00:51:52,680 --> 00:51:56,319
Speaker 3: Sanders revolution. It portends basically what I'm talking about, like

1088
00:51:56,600 --> 00:52:00,480
Speaker 3: rich white people who love to see somebody articulate, spoken

1089
00:52:00,560 --> 00:52:03,920
Speaker 3: and defend norms in bureaucracy. Like that seems to be

1090
00:52:04,200 --> 00:52:06,960
Speaker 3: the current track that things are going in the direction of.

1091
00:52:07,000 --> 00:52:09,799
Speaker 3: So I'm just not so sure that resistance will take

1092
00:52:09,840 --> 00:52:13,480
Speaker 3: the form of like some anti oligarchy agenda. Will they

1093
00:52:13,480 --> 00:52:16,520
Speaker 3: be for raising the income tax from thirty five to

1094
00:52:16,520 --> 00:52:17,360
Speaker 3: forty one percent?

1095
00:52:17,640 --> 00:52:18,279
Speaker 1: Absolutely?

1096
00:52:18,360 --> 00:52:20,279
Speaker 3: Okay, But that's not the same thing as what we're

1097
00:52:20,320 --> 00:52:23,440
Speaker 3: talking about, some grand like takedown of the you.

1098
00:52:23,440 --> 00:52:24,279
Speaker 7: Would have to have.

1099
00:52:25,000 --> 00:52:27,080
Speaker 2: I think it almost has to be someone from outside

1100
00:52:27,120 --> 00:52:30,920
Speaker 2: the system. Yeah, because we're Stephen polar two. Yeah, that's

1101
00:52:30,960 --> 00:52:34,359
Speaker 2: exactly right. Yeah, they're too. I mean, this is there

1102
00:52:34,480 --> 00:52:36,520
Speaker 2: the whole like water that those women.

1103
00:52:36,560 --> 00:52:40,279
Speaker 3: Absolutely, of course they're they're they're that. If anything, what

1104
00:52:40,320 --> 00:52:43,960
Speaker 3: can you say about Trump? The circumvention of the traditional

1105
00:52:43,960 --> 00:52:47,439
Speaker 3: process and the popularity and the ability to say shit

1106
00:52:47,520 --> 00:52:51,080
Speaker 3: that is totally in the moment out of control, which

1107
00:52:51,120 --> 00:52:54,239
Speaker 3: is a lie but also deeply true, was one that

1108
00:52:54,560 --> 00:52:58,000
Speaker 3: shocked the entire political system. But the problem that I

1109
00:52:58,160 --> 00:53:01,880
Speaker 3: see is that because the current constituency the Democratic Party,

1110
00:53:01,920 --> 00:53:04,719
Speaker 3: I'm not so sure that their lack of faith in

1111
00:53:04,800 --> 00:53:08,759
Speaker 3: institutions is so as as low as where Republicans were

1112
00:53:08,800 --> 00:53:11,600
Speaker 3: and willing to receive that message. There still seems to

1113
00:53:11,640 --> 00:53:14,759
Speaker 3: be the credibility in the pets, in the JB. Pritskers,

1114
00:53:15,000 --> 00:53:17,440
Speaker 3: even in the Obamas of the world, like right, it

1115
00:53:17,480 --> 00:53:19,359
Speaker 3: would take. What happened with Trump is that you had

1116
00:53:19,360 --> 00:53:21,480
Speaker 3: literally Georgia B. Bush, the leader of the party in McCain,

1117
00:53:21,719 --> 00:53:24,719
Speaker 3: who became underwater with their own base. I don't see

1118
00:53:24,719 --> 00:53:27,719
Speaker 3: the same phenomenon with Michelle, with Barack, with I mean

1119
00:53:27,880 --> 00:53:28,839
Speaker 3: even Kamala, they.

1120
00:53:29,440 --> 00:53:31,399
Speaker 1: Yeah, they still love him, right and even though it's

1121
00:53:31,400 --> 00:53:32,560
Speaker 1: his fault, he's thought.

1122
00:53:32,640 --> 00:53:34,759
Speaker 2: There was a poll that came out in California, in

1123
00:53:34,840 --> 00:53:37,719
Speaker 2: the California and goubernatorial primer with Kamala.

1124
00:53:37,480 --> 00:53:38,759
Speaker 7: And it actually was not great for her.

1125
00:53:38,800 --> 00:53:40,759
Speaker 2: Oh, I didn't see that she was like basically tied

1126
00:53:40,760 --> 00:53:41,720
Speaker 2: with the number two person.

1127
00:53:41,760 --> 00:53:42,520
Speaker 7: I was kind of surprised.

1128
00:53:42,520 --> 00:53:44,480
Speaker 2: Always number two I don't know the number two was

1129
00:53:44,480 --> 00:53:46,600
Speaker 2: actually a Republican because you know, it's the jungle primary

1130
00:53:46,680 --> 00:53:49,040
Speaker 2: right now. And then there was another Democrat that came

1131
00:53:49,040 --> 00:53:50,719
Speaker 2: in after her, but she was only getting like twenty

1132
00:53:50,719 --> 00:53:52,360
Speaker 2: three percent of them interested.

1133
00:53:52,400 --> 00:53:54,120
Speaker 7: Yeah, okay, interesting, which we'll see.

1134
00:53:54,160 --> 00:53:56,080
Speaker 1: I hope you're right, because I would just love to

1135
00:53:56,120 --> 00:53:58,560
Speaker 1: break shit up. But I'm just I've seen.

1136
00:53:59,480 --> 00:54:01,920
Speaker 3: I just the way I can see it is that

1137
00:54:02,160 --> 00:54:05,359
Speaker 3: Hakeem Jeffries will be replaced by some Pete Boodhage Edge

1138
00:54:05,360 --> 00:54:07,200
Speaker 3: type figure who will mobilize.

1139
00:54:07,280 --> 00:54:09,160
Speaker 1: And you know, I would.

1140
00:54:09,600 --> 00:54:12,880
Speaker 2: Over I would take Pete over he King Jeffries for oh,

1141
00:54:13,120 --> 00:54:16,080
Speaker 2: for sure. Hakeem Jeffries is the most worthless person I've

1142
00:54:16,120 --> 00:54:18,920
Speaker 2: ever seen in my entire life. Like I said, longing

1143
00:54:18,960 --> 00:54:21,960
Speaker 2: for the days of Nancy Pelosio at least had some political.

1144
00:54:21,520 --> 00:54:22,920
Speaker 1: Skills, some of the some of this.

1145
00:54:23,200 --> 00:54:25,560
Speaker 2: Yeah, he at least had some sass or whatever to

1146
00:54:25,640 --> 00:54:28,440
Speaker 2: her and is able, you know, in a Machiavellian way,

1147
00:54:29,080 --> 00:54:30,839
Speaker 2: was effective in Washington, but.

1148
00:54:31,000 --> 00:54:32,400
Speaker 1: She forced by now we have to hear that.

1149
00:54:32,480 --> 00:54:36,440
Speaker 2: Yeah, these these people are beyond worthless. And so I mean, listen,

1150
00:54:37,320 --> 00:54:39,879
Speaker 2: definitely possible that you're right. I'm just saying that there's

1151
00:54:39,880 --> 00:54:42,960
Speaker 2: a possibility and a different relationship vise of you, the

1152
00:54:42,960 --> 00:54:45,160
Speaker 2: base and the leaders that there than there was last time.

1153
00:54:45,200 --> 00:54:48,280
Speaker 1: I hope they're correct. I would like to see it materialize,

1154
00:54:48,320 --> 00:54:49,040
Speaker 1: but I don't know.

1155
00:54:49,239 --> 00:54:53,200
Speaker 3: I'm skeptical to see where all of this is going

1156
00:54:53,239 --> 00:54:59,160
Speaker 3: to take us. Let's turn now to Congresswoman Nancy Mace

1157
00:54:59,239 --> 00:55:03,960
Speaker 3: who the recent months has really taken the podium and

1158
00:55:04,120 --> 00:55:09,000
Speaker 3: a platform to try and bring attention to violence against women. However,

1159
00:55:09,120 --> 00:55:12,240
Speaker 3: there have been a lot of questions about some previous

1160
00:55:12,320 --> 00:55:15,920
Speaker 3: assault allegations and others that she had made previously. She did, however,

1161
00:55:16,040 --> 00:55:18,600
Speaker 3: take to the floor of the House of Representatives to

1162
00:55:18,680 --> 00:55:22,960
Speaker 3: describe some genuinely horrific things that she says happened to her.

1163
00:55:23,080 --> 00:55:25,480
Speaker 3: But it's also led to some questionable behavior in terms

1164
00:55:25,520 --> 00:55:28,000
Speaker 3: of what she's asking people to do as a result

1165
00:55:28,040 --> 00:55:29,520
Speaker 3: of that. So we wanted to take a second to

1166
00:55:29,560 --> 00:55:31,080
Speaker 3: get into some of it. Let's take a listen to

1167
00:55:31,080 --> 00:55:31,799
Speaker 3: what she had to say.

1168
00:55:32,120 --> 00:55:35,560
Speaker 12: When I uncovered evidence of rape and the illegal filming

1169
00:55:35,600 --> 00:55:41,759
Speaker 12: of women and sex trafficking, I didn't just see victims.

1170
00:55:42,960 --> 00:55:49,319
Speaker 12: I saw a system that failed to protect them. I

1171
00:55:49,360 --> 00:55:53,440
Speaker 12: saw criminals who thought they could get away with it

1172
00:55:53,520 --> 00:55:57,400
Speaker 12: because no one had the guts, no one had the courage,

1173
00:55:57,440 --> 00:56:03,240
Speaker 12: no one had the bravery to hold them accountable. Because

1174
00:56:03,600 --> 00:56:08,080
Speaker 12: we are filled with cowards. I will burn this system

1175
00:56:08,120 --> 00:56:10,560
Speaker 12: to the ground if I have to.

1176
00:56:11,160 --> 00:56:13,440
Speaker 3: So she gave a fifty three minute spage detailed some

1177
00:56:13,480 --> 00:56:16,080
Speaker 3: horrific things she alleged happened to her, involving her ex

1178
00:56:16,239 --> 00:56:19,040
Speaker 3: fiance and others. But one of the things that you

1179
00:56:19,080 --> 00:56:22,120
Speaker 3: probably saw there if you are watching, is actually the

1180
00:56:22,520 --> 00:56:26,520
Speaker 3: quote of victim's hotline. However, you know immediately afterward there

1181
00:56:26,560 --> 00:56:28,600
Speaker 3: were some questions here about that actual hotline.

1182
00:56:28,640 --> 00:56:30,480
Speaker 1: Let's put this up there on the screen.

1183
00:56:31,080 --> 00:56:35,080
Speaker 3: Apparently the actual advocates in South Carolina are telling people

1184
00:56:35,280 --> 00:56:38,239
Speaker 3: not to use the hotline because they're saying that it's

1185
00:56:38,280 --> 00:56:42,280
Speaker 3: one that goes to an unanswered mailbox, and they say, quote,

1186
00:56:42,280 --> 00:56:44,520
Speaker 3: no one picks up. That's not a hotline, it's actually

1187
00:56:44,760 --> 00:56:48,160
Speaker 3: an answering machine. And look, we're obviously trying to discuss

1188
00:56:48,200 --> 00:56:52,480
Speaker 3: this delicately, but it gets to some behavior from Nancy

1189
00:56:52,520 --> 00:56:55,840
Speaker 3: Mace where previously she had claimed what was it She

1190
00:56:55,840 --> 00:56:58,600
Speaker 3: had claimed that somebody of activist had assaults her, and

1191
00:56:58,640 --> 00:57:02,279
Speaker 3: she was wearing she was wearing a sling in the

1192
00:57:02,320 --> 00:57:05,520
Speaker 3: House of Representatives. But in general, I've been very I've

1193
00:57:05,560 --> 00:57:08,719
Speaker 3: been fascinated to watch it here in Washington because she

1194
00:57:08,880 --> 00:57:12,040
Speaker 3: is one who is both occasionally like a MAGA star,

1195
00:57:12,440 --> 00:57:16,440
Speaker 3: but increasingly also is being called for, you know, by

1196
00:57:16,440 --> 00:57:19,200
Speaker 3: her own staff who are alleging, you know, that she

1197
00:57:19,440 --> 00:57:21,520
Speaker 3: had lied about previous incidents.

1198
00:57:21,560 --> 00:57:23,720
Speaker 1: So the whole thing is incredibly bizarre.

1199
00:57:23,840 --> 00:57:26,560
Speaker 2: Yeah, this woman is a liar. There's no reason to

1200
00:57:26,560 --> 00:57:29,000
Speaker 2: take anything she says seriously. If I'm being honest with you,

1201
00:57:29,080 --> 00:57:31,560
Speaker 2: I will be less delicate than you will put up.

1202
00:57:31,560 --> 00:57:35,400
Speaker 2: Even so, even she claimed like, uh, I don't know

1203
00:57:35,440 --> 00:57:38,040
Speaker 2: what happened to her, blah blah blah. But she claimed

1204
00:57:38,080 --> 00:57:41,200
Speaker 2: she contacted the Attorney General's office in South Carolina, the

1205
00:57:41,240 --> 00:57:43,320
Speaker 2: attorney general, by the way, who she plans to run

1206
00:57:43,320 --> 00:57:46,040
Speaker 2: against in a gubernatorial primary, so very convenient to target

1207
00:57:46,120 --> 00:57:50,240
Speaker 2: him in particular. And she said, oh, I contacted them,

1208
00:57:50,280 --> 00:57:53,920
Speaker 2: and they did absolutely nothing. Well, the Attorney general came

1209
00:57:53,960 --> 00:57:57,240
Speaker 2: out and said that her claims were quote categorically false.

1210
00:57:57,800 --> 00:58:00,680
Speaker 2: Mays either does not understand or is purposely characterized in

1211
00:58:00,720 --> 00:58:03,960
Speaker 2: the role of attorney general. Because guys, think about it,

1212
00:58:04,000 --> 00:58:06,000
Speaker 2: if you're a victim of anything, Do you call the

1213
00:58:06,040 --> 00:58:08,200
Speaker 2: attorney gen No, you call law enforcement, Like what are

1214
00:58:08,240 --> 00:58:11,760
Speaker 2: we talking about here? And not to mention, this Attorney

1215
00:58:11,760 --> 00:58:13,600
Speaker 2: General goes on to say, like we're at a bunch

1216
00:58:13,640 --> 00:58:16,360
Speaker 2: of events together. She literally has my personal cell phone.

1217
00:58:16,440 --> 00:58:19,160
Speaker 2: She's never raised any of this with me. So that's

1218
00:58:19,240 --> 00:58:22,240
Speaker 2: number one. But more concretely on the victim hotline thing,

1219
00:58:22,680 --> 00:58:24,880
Speaker 2: So she puts up this hot line, you know, trying

1220
00:58:24,920 --> 00:58:27,040
Speaker 2: to position herself as this great defender of women.

1221
00:58:27,120 --> 00:58:29,640
Speaker 7: Blah blah blah. It's it is enough.

1222
00:58:29,720 --> 00:58:32,800
Speaker 2: It's a voicemail box. So if you are someone who

1223
00:58:32,840 --> 00:58:35,640
Speaker 2: is a genuine survivor, if you went through and you

1224
00:58:35,680 --> 00:58:38,240
Speaker 2: are looking for someone to talk to and some resources

1225
00:58:38,280 --> 00:58:41,400
Speaker 2: to cope with this horrific traumatic event, and you take

1226
00:58:41,560 --> 00:58:44,520
Speaker 2: Nancy Mace at her word that this hotline is set

1227
00:58:44,560 --> 00:58:47,360
Speaker 2: up for you, You're gonna call and you're gonna get nothing.

1228
00:58:47,600 --> 00:58:51,160
Speaker 2: You're gonna get a voicemail box that, according to the

1229
00:58:51,240 --> 00:58:55,160
Speaker 2: report here, doesn't even return the calls whatsoever, as opposed

1230
00:58:55,240 --> 00:58:59,040
Speaker 2: to directing someone to you know, there are actual rape

1231
00:58:59,080 --> 00:59:02,640
Speaker 2: crisis and other survivor hotlines that are set up that

1232
00:59:02,880 --> 00:59:05,640
Speaker 2: genuinely have recent that have people who are trained who

1233
00:59:05,640 --> 00:59:08,320
Speaker 2: go through extensive training, including one run by the state

1234
00:59:08,320 --> 00:59:10,160
Speaker 2: and the Attorney General's office of the guy that she's

1235
00:59:10,360 --> 00:59:13,920
Speaker 2: smearing at this point. So you know, it's just I

1236
00:59:13,920 --> 00:59:16,600
Speaker 2: don't even know what to say. It's just utterly preposterous.

1237
00:59:16,640 --> 00:59:18,400
Speaker 2: And then we have actually the image of her in

1238
00:59:18,440 --> 00:59:20,960
Speaker 2: this link. This was also total incomplete bullshit, like you

1239
00:59:21,000 --> 00:59:23,280
Speaker 2: should not in fact believe all women, and you definitely

1240
00:59:23,280 --> 00:59:24,400
Speaker 2: should not believe this woman.

1241
00:59:24,680 --> 00:59:25,960
Speaker 7: She claimed that.

1242
00:59:25,960 --> 00:59:29,000
Speaker 2: She was injured by some activists who assaulted her. Oh

1243
00:59:29,000 --> 00:59:31,320
Speaker 2: my god, this was so horrible. The people who saw

1244
00:59:31,360 --> 00:59:34,520
Speaker 2: it were like, they shook her hand. That's it. That's

1245
00:59:34,520 --> 00:59:40,720
Speaker 2: what happened. So she wore this sling very performatively around

1246
00:59:40,920 --> 00:59:43,840
Speaker 2: around the capitol and was, you know, aggrieved in a

1247
00:59:43,920 --> 00:59:45,600
Speaker 2: victim of this horrific assault.

1248
00:59:45,760 --> 00:59:47,960
Speaker 7: This is this is Nancy Smolette for you right there.

1249
00:59:48,280 --> 00:59:50,840
Speaker 1: All right, Well, I'm glad you were as aggressive. I'm not.

1250
00:59:50,960 --> 00:59:52,800
Speaker 3: I'm just I'm not allowed to do that, I think

1251
00:59:52,840 --> 00:59:55,960
Speaker 3: in terms of the way that I definitely agree.

1252
00:59:56,000 --> 00:59:59,959
Speaker 1: I'll just put it, shall I Nancy sign Nancy small?

1253
01:00:01,080 --> 01:00:01,760
Speaker 1: It rings, it.

1254
01:00:01,760 --> 01:00:02,960
Speaker 7: Has a ring to it, doesn't there.

1255
01:00:03,440 --> 01:00:06,680
Speaker 3: I mean, it's just the big red flag for me

1256
01:00:07,040 --> 01:00:10,200
Speaker 3: was that every person who remember when her entire staff resigned,

1257
01:00:10,200 --> 01:00:11,520
Speaker 3: and there's many of them.

1258
01:00:11,720 --> 01:00:13,000
Speaker 1: That's where the.

1259
01:00:13,000 --> 01:00:15,080
Speaker 3: Red flag came. Where they were like, they were like,

1260
01:00:15,120 --> 01:00:16,200
Speaker 3: don't believe a word that.

1261
01:00:16,680 --> 01:00:18,880
Speaker 2: Look at some of her former staffers, like you think

1262
01:00:18,960 --> 01:00:20,280
Speaker 2: I was unvarnished.

1263
01:00:20,320 --> 01:00:22,200
Speaker 1: No, I know, yeah exactly. That's why that's part of

1264
01:00:22,200 --> 01:00:22,960
Speaker 1: the reason we wanted to.

1265
01:00:22,880 --> 01:00:25,120
Speaker 3: Cover this is I was like, you know, no one

1266
01:00:25,160 --> 01:00:27,920
Speaker 3: in the media is really immediately just being like.

1267
01:00:28,040 --> 01:00:30,000
Speaker 1: I don't know about this whole thing. Now.

1268
01:00:30,240 --> 01:00:32,040
Speaker 3: I have no idea whether her claims or any of

1269
01:00:32,080 --> 01:00:33,840
Speaker 3: that thing are true. What I do know is that

1270
01:00:33,960 --> 01:00:36,600
Speaker 3: South Carolina media, as you said, the Attorney general said

1271
01:00:36,720 --> 01:00:38,840
Speaker 3: that it didn't happen the way that she's talking about

1272
01:00:39,040 --> 01:00:41,800
Speaker 3: that the hotline. The actual advocates and other people or

1273
01:00:41,840 --> 01:00:43,960
Speaker 3: whatever in the state are saying, hey, it's not a

1274
01:00:44,000 --> 01:00:46,880
Speaker 3: hot line because we actually handle real hotlines, and that

1275
01:00:46,960 --> 01:00:49,920
Speaker 3: she has a proven track record of you know, basically

1276
01:00:50,480 --> 01:00:55,160
Speaker 3: conjuring up injury allegedly for attention, and so anyway, I'll

1277
01:00:55,200 --> 01:00:58,240
Speaker 3: leave people with that impression, and that's what we like

1278
01:00:58,320 --> 01:01:00,760
Speaker 3: to call out some of that behavior here. As you

1279
01:01:00,800 --> 01:01:02,840
Speaker 3: said too, it's like if this woman was on the left,

1280
01:01:03,080 --> 01:01:06,000
Speaker 3: we all know, like there would be. I will say,

1281
01:01:06,000 --> 01:01:07,920
Speaker 3: there's a lot of more. There's a lot of anonymous

1282
01:01:07,960 --> 01:01:10,240
Speaker 3: right wing accounts which hate this person and which call

1283
01:01:10,280 --> 01:01:14,080
Speaker 3: her out routinely for lying and for attention seeking behavior, etc.

1284
01:01:14,440 --> 01:01:16,680
Speaker 3: But at a broad level, there has not been the

1285
01:01:16,720 --> 01:01:19,360
Speaker 3: takedown that there needs to, and for some reason, probably

1286
01:01:19,400 --> 01:01:22,240
Speaker 3: liberal media from the reminisce of Me Too, is not

1287
01:01:22,320 --> 01:01:24,720
Speaker 3: willing to just come out and be like, Okay, hold

1288
01:01:24,720 --> 01:01:26,680
Speaker 3: on a second, what the hell is going on?

1289
01:01:26,840 --> 01:01:30,400
Speaker 2: The hotline thing is just like so egregious. Just I mean,

1290
01:01:30,800 --> 01:01:33,120
Speaker 2: how hard is it to put up a real hotline?

1291
01:01:33,440 --> 01:01:35,880
Speaker 1: But she want there's one in South Carolina?

1292
01:01:35,960 --> 01:01:39,000
Speaker 2: Yes, redirect people, yes exactly, Like how hard is it

1293
01:01:39,040 --> 01:01:41,960
Speaker 2: to just put up an actual number that people can

1294
01:01:42,000 --> 01:01:45,320
Speaker 2: get actual resources at instead of indirecta thing that's like,

1295
01:01:45,360 --> 01:01:47,400
Speaker 2: oh this is Nancy Mayson, I really care about you

1296
01:01:47,520 --> 01:01:51,800
Speaker 2: or whatever. So it's completely self promotional, and you're positioning

1297
01:01:51,800 --> 01:01:54,160
Speaker 2: yourself as this great advocate of women and then in

1298
01:01:54,200 --> 01:01:58,720
Speaker 2: this really blatant way, denying them access to the diverting

1299
01:01:58,760 --> 01:02:01,880
Speaker 2: them from, you know, the resources that are actually available

1300
01:02:01,880 --> 01:02:02,960
Speaker 2: for their card disgusting.

1301
01:02:03,000 --> 01:02:05,640
Speaker 3: All right, Okay, guys, we appreciate you joining us and

1302
01:02:05,680 --> 01:02:06,760
Speaker 3: we will see you all later.