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

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Speaker 2: Independent media just played a truly massive role in this election,

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Speaker 2: and we are so excited about what that means for

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Speaker 1: not exist anywhere else.

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Speaker 2: So if that is something that's important to you, please

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Speaker 2: go to Breakingpoints dot com. Become a member today and

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Speaker 1: We need your help to build the future of independent

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Speaker 1: news media and we hope to see you at Breakingpoints

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Speaker 1: dot com.

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Speaker 3: Happy July third day before America Day, July fourth. We

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Speaker 3: all just got back from the two fifty Fair here

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Speaker 3: to give you a weekend Friday show. Ryan, you were

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Speaker 3: actually at the fair, right I did.

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Speaker 4: I went by. They would not let me bring in

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Speaker 4: a backpack or my bike, and I was meeting someone

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Speaker 4: who had another backpack there, so I went in very briefly,

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Speaker 4: just left the backpack there. They're like, yeah, that's fine.

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Speaker 4: I'm like, really, I can just leave.

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Speaker 2: You can leave it there, but you can't bring it in.

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Speaker 2: That seems counterintuitive.

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Speaker 4: The funny thing is is that there were many, many,

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Speaker 4: many fewer people inside the fair than outside of it,

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Speaker 4: So it's like, who are you protecting, Like, there's nobody

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Speaker 4: in here. You couldn't do a mass shooting. There isn't

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Speaker 4: a mass in there. You can commit a crime, but

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Speaker 4: there's no mass shooting going on in there.

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Speaker 3: They just didn't watch it to spark up, you know.

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Speaker 4: Yeah, I guess.

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Speaker 2: Something must protect the reflecting pull.

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Speaker 3: At all costs.

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Speaker 4: There was a there was a band on the stage

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Speaker 4: and two people sitting in chairs watching them.

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Speaker 2: Oh my god, it's like a million degrees outside. That

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Speaker 2: doesn't help the situation.

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Speaker 4: Yes, and that's all comical, But yesterday there was this

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Speaker 4: footage of a massive piece of equipment falling on the

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Speaker 4: stage right behind the dancers, which is the kind of

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Speaker 4: thing that kills people when you use kind of non

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Speaker 4: union labor that isn't following the rules of putting a

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Speaker 4: stage together, Like that stuff really matters, Like a two

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Speaker 4: hundred pound piece of equipment on you yeah, right here

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Speaker 4: from that distance, Oh my god, people like it is

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Speaker 4: and and normal at a normal event, that thing would

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Speaker 4: stop and be shut down until they figured out why

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Speaker 4: that happened. They just kept dancing. Look at that.

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Speaker 3: Look we would kill that is keep dancing. Wow, wow, incredible. Well,

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Speaker 3: you know there's a lot of festivities in the air,

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Speaker 3: but like these performers, we also must keep dancing. We've

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Speaker 3: got we don't know that.

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Speaker 5: To be clear, though, Griffin, we don't know like the

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Speaker 5: reflecting pool, that a lib didn't cut that part of.

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Speaker 3: The st Yeah, there was a gash, a strong gash

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Speaker 3: were everywhere.

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Speaker 2: Did you guys see the lady who was like it

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Speaker 2: was too hot? I started seeing stars, but I managed

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Speaker 2: to find the baptism ten take a dip in the pool,

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Speaker 2: came out. People are having extraordinary experiences of this fair.

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Speaker 4: Yeah, Julian is going for dropsled again later today. We'll

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Speaker 4: have we'll have his package jump sure at some point.

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Speaker 2: Next week for Julian. He needs hazard pay. It's too

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Speaker 2: freaking hot out.

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Speaker 4: There to himself that this is not on us.

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Speaker 2: Okay, all right.

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Speaker 3: All right, well Julian, avoid any head injuries if you can.

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Speaker 3: But yes, it is fourth of July. We're gonna be

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Speaker 3: looking at some job numbers, some barbecue prices for anyone

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Speaker 3: who is grilling this weekend. We're gonna be looking a

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Speaker 3: little bit into how one zoron Mam Donnie is becoming

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Speaker 3: the Democratic Party power broker, giving advice but potentially therapy

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Speaker 3: to a slate of twenty twenty eight hopefuls. We have

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Speaker 3: Alex Krp crashing out on live television. Ryan is going

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Speaker 3: to take a look at an interesting tip line hack

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Speaker 3: story that's been occurring at the intercept and then Ryan,

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Speaker 3: don't we have a journalist coming on the show.

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Speaker 4: Oh well, we have the publisher of Drop Say News,

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Speaker 4: which that's the means runs basically the business side and operations.

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Speaker 4: She was basically kicked off the Committee to Protect Journalist Board.

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Speaker 4: And that was one of my cats, just falling off desk.

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Speaker 3: Aircrash, non union cat labor keep dancing and keep dancing.

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Speaker 4: Yes exactly, and no, I think when you stop down

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Speaker 4: and make sure that no cat is injured again in

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Speaker 4: the filming of this production. So uh, this CPJ, there

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Speaker 4: was an effort inside CPJ to redefine who is a

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Speaker 4: journalist in order to try to get down the number

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Speaker 4: of journalists that Israel has killed amid its genocide. That

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Speaker 4: was actually beaten back. Nica was part of that is

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Speaker 4: no longer on the board. I would say as a

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Speaker 4: result of that, so she can talk to us about,

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Speaker 4: you know, the fight that went on inside the Committee

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Speaker 4: to Protect Journalists, which which will continue to go on

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Speaker 4: even though this round has been one gotcha.

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Speaker 3: And then in Crystal, we're going to cap it all

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Speaker 3: off with a Canada interview one Will Lawrence. What's his deal.

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Speaker 2: Yeah, he's making waves in his congressional campaign with an

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Speaker 2: anti data center ad. So of course that caught our attention,

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Speaker 2: so we're going to speak with him about that and

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Speaker 2: his race in general. As you know, the left continues

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Speaker 2: to notch a lot of extraordinary victories on that front.

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Speaker 2: I just want to mention, you know, when election day

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Speaker 2: ended this week in Colorado, it looked like Julie Gonzalez

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Speaker 2: had been beaten fairly, you know, handily by John Hickenlooper,

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Speaker 2: the incumbent senator there, although even you know, the margin

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Speaker 2: that it was looking like it was going to be

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Speaker 2: was pretty impressive given how much she was outspent, how

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Speaker 2: little national attention went to her race. Now that the

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Speaker 2: votes have almost all come in, she was only lost

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Speaker 2: to him by a handful of points, like six points

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Speaker 2: at this point. So I think for the left, you know,

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Speaker 2: It was a real missed opportunity to take out one

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Speaker 2: of the worst Democratic senators, and it just shows how

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Speaker 2: powerful the change movement is within the Democratic Party that

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Speaker 2: even I think she was outspent thirteen to one, she

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Speaker 2: didn't get all the big endorsements, didn't get as much

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Speaker 2: national attention as Millot did, for example, and still still

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Speaker 2: almost pulled off this massive upset.

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Speaker 3: Yeah. Yeah, absolutely so. We've got all of that and more.

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Speaker 3: But let's focus on the most important thing first today,

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Speaker 3: which is of course the grill. Crystal. What is going

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Speaker 3: on here with our barbecue prices?

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Speaker 2: Well, I don't think Americans need me to tell you

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Speaker 2: that the costs are going up. We have some numbers

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Speaker 2: we can show you, though officially the barbecue index here

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Speaker 2: from the Economist. You can see the way that all

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Speaker 2: of these prices have continued to climb. Your over year

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Speaker 2: looks like ground beef and for some reason Coca cola,

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Speaker 2: which you guys should be skipping that entirely anyway. But

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Speaker 2: whatever those costs continue to climb. You can see steak

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Speaker 2: there that is only going to get worse. With this

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Speaker 2: whole screwworm situation unfolding in Texas. Usually just talked to

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Speaker 2: David Griskham for Crystal and Kyle Crystal Colin Friends yesterday

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Speaker 2: about Texas, and he was emphasizing what a big deal

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Speaker 2: that is in terms of Texas politics, that there could

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Speaker 2: be beef shortages even in that state, which is of

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Speaker 2: course famous for beef and barbecue. So in any case,

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Speaker 2: you know, people feeling the pinch as they head into

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Speaker 2: this holiday weekend. And you know, unlike with COVID, which

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Speaker 2: was this thing beyond the uh you know, that was

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Speaker 2: we can't say that global governments had nothing to do

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Speaker 2: with it, but this is a pandemic that you know,

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Speaker 2: was ont of the hands in a lot of ways

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Speaker 2: of the Trump and then the Biden administration, unlike the

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Speaker 2: Ukraine War, which again we can say the US had

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Speaker 2: a hand in creating the conditions, but ultimately it's this

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Speaker 2: you know, external factor, Russian invading Ukraine that leads to

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Speaker 2: the you know, but the increase in inflation or contributes

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Speaker 2: to it at least, this is entirely due to the

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Speaker 2: policy of Donald Trump, between the tariffs and now of

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Speaker 2: course most critically from the war in Iran. I guess

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Speaker 2: the other factor I would add to that is because

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Speaker 2: of the climate crisis. There have been tremendous drought conditions

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Speaker 2: as well that have devastated farmers crops, and so you're

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Speaker 2: about to have like the lowest wheat yield in decades

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Speaker 2: because of those climate conditions and the rising price of

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Speaker 2: fertilizer contributing to that as well. So all of this

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Speaker 2: has meant increasing pain for American consumers and really for

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Speaker 2: the globe and in poor countries. It isn't the difference

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Speaker 2: between you know, affording a stake for your Fourth of

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Speaker 2: July barbecue or not. It can literally be the difference

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Speaker 2: between life and death. And we have had an escalating

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Speaker 2: hunger crisis around the world that appears to be only

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Speaker 2: set to get worse, especially with climate conditions set to

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Speaker 2: be really difficult this year with the La Nina cycle too.

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Speaker 5: I just wanted to put up on the screen here

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Speaker 5: wage growth versus the inflation rate, because that's another part

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Speaker 5: of this as well. So if we're looking at what

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Speaker 5: was the twelve percent year over year barbecue inflation index,

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Speaker 5: but right now, as of May at least, wage growth

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Speaker 5: is being outpaced by the inflation rate.

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Speaker 6: So that's another aspect of this.

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Speaker 5: We were talking Crystal yesterday about how I think the

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Speaker 5: Trump corruption stories are going to hit much harder politically,

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Speaker 5: and maybe you all can let us know. I'm sure

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Speaker 5: you'll shoot us in the comments, shoot us your thoughts

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Speaker 5: in the comments, because I bet that'll be a topic

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Speaker 5: of conversation at some barbecues where you have people feeling

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Speaker 5: like the prices are going up, wages aren't keeping up

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Speaker 5: with that, And on top of it, you see news

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Speaker 5: about the President of the United States just breaking in

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Speaker 5: one point four billion dollars in the first like eighteen

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Speaker 5: months of his presidency in crypto schemes. So when the

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Speaker 5: wages aren't keeping up, that's different than Trump one point zero.

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Speaker 5: So a little political problem obviously as well.

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Speaker 2: Yeah, let's put Griffin the jobs numbers up. The jobs

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Speaker 2: report came out yesterday. Normally comes out Friday, presumement came

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Speaker 2: out yesterday because today is technically a federal holiday.

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Speaker 7: That's my guess.

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Speaker 2: Anyway, not a good jobs report. Only fifty seven thousand

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Speaker 2: jobs added one hundred and fifteen thousand were expected. This

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Speaker 2: is data pulled from Heather Long, who's an economics reporter

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Speaker 2: for the Washington Post who does good work there. You

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Speaker 2: can see the chart here, which shows the way that

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Speaker 2: job growth has really fallen off. So that we've had

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Speaker 2: in recent months since Trump hasn't been inaugurated, we've had

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Speaker 2: a mix of actually job losses and very modest increases.

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Speaker 2: The unemployment rate still stays low four point two percent,

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Speaker 2: but she points out this is mainly due to a

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Speaker 2: big decline in the labor force. You had a large

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Speaker 2: number of people, hundreds of thousands of people who said,

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Speaker 2: you know what, I'm just not going to even look

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Speaker 2: for a job anymore. I'm just I'm out out of

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Speaker 2: the business of looking for jobs.

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Speaker 6: She says.

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Speaker 2: The job market is stable, that's good for the FED,

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Speaker 2: but it's still tough to get a job outside of

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Speaker 2: healthcare or professional services. Hospitality shed about sixty one thousand jobs.

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Speaker 2: Inflation is wiping out wage gains. As Emily was just

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Speaker 2: putting out, bottom line, June jobs report is great for

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Speaker 2: the FED, disappointing for the rest of America. And Grimma

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Speaker 2: put the next one up on the screen because there

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Speaker 2: are a few dynamics here that are important. First of all,

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Speaker 2: we've talked before about the fact that you know, the

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Speaker 2: Trump administration, they really ran this very We're going to

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Speaker 2: look out for the men coded campaign, not even coded,

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Speaker 2: very overt right. It was very much chismo. We're going

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Speaker 2: to bring back the tough, the factory jobs, the manly

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Speaker 2: manned jobs. What has happened again directly as the result

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Speaker 2: of his policy and of the rolling back of some

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Speaker 2: of the some of the policies of Biden administration is

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Speaker 2: actually you've had a decline manufacturing sector, and the jobs

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Speaker 2: that are growing right now are the ones that women

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Speaker 2: traditionally have been more represented in, so things for example

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Speaker 2: like healthcare, social services. At the same time, this status

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Speaker 2: shows you that, you know, the last couple of years

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Speaker 2: for working moms in particular has been difficult because of

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Speaker 2: the return to office mandates and also because of the

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Speaker 2: skyrocketing cost of childcare. So you have more women who

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Speaker 2: are leaving mothers specifically who have young children under the

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Speaker 2: age of five, who are being forced out of the

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Speaker 2: workforce because it is just not a sustainable situation for

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Speaker 2: them to both have to be in office full time

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Speaker 2: and pay for full time childcare. So you've got that

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Speaker 2: hit being taken as well, and you can see that

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Speaker 2: in the chart here. So in any case, those are

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Speaker 2: some of the underlying dynamics and one more thing I'll

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Speaker 2: mention before Ryan gets you in here to react to

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Speaker 2: some of this is that you also had a downward

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Speaker 2: revision of the last two months as well. So the

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Speaker 2: last jobs report of memory serves looked pretty solid. Well,

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Speaker 2: now they've come in and said, well, actually, now that

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Speaker 2: we've got the full data in, we've got to knock

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Speaker 2: off tens of thousands of jobs off at that number

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Speaker 2: month before they also revised downward. So a pretty dim

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Speaker 2: picture here in terms of the job market.

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Speaker 4: In One of the maybe Emily as thoughts is too.

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Speaker 4: One of the copes I've seen from some people is say, well,

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Speaker 4: this is not really factoring in the fact that Stephen

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Speaker 4: Miller's immigration policy has perhaps driven net net negative migration

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Speaker 4: for the first time in forever, and so therefore there's

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Speaker 4: actually fewer people, and so the way that you're looking

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Speaker 4: at this is not completely accurate. A couple responses that

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Speaker 4: one would be what Emily put up earlier, which is

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Speaker 4: that wages are growing slower than inflation. So if it

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Speaker 4: was truly the case that a reduction in a reduction

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Speaker 4: in the supply of workers was driving up wages, people

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Speaker 4: would be making more earning power. Instead, they are earning,

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Speaker 4: their earning, their their earning power is going way down. Also,

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Speaker 4: if you look at just kind of Latino employment, it's

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Speaker 4: slightly up over a year ago, just in absolute terms.

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Speaker 4: So that's you would expect. Because he's really rounding up

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Speaker 4: as many kind of Hispanic people here without and deporting them,

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Speaker 4: you would expect that number to be going down if

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Speaker 4: it was true that those numbers match. And yeah too,

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Speaker 4: to Cristel's point, you're manufacturing and construction are either flat

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Speaker 4: or down, depending on depending on how you do the counting,

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Speaker 4: but certainly not not up or seeing any kind of renaissance.

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Speaker 5: Yeah, and what they typically point to is that it's

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Speaker 5: been a decline in the decline, and I don't think

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Speaker 5: that's nothing. But just to see a little bit here

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Speaker 5: from you all will remember the name EJ. And Tony,

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Speaker 5: he was Trump's pick for the BLS position, got booted out,

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Speaker 5: pointing out basically exactly what Crystal is pointing out here.

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Speaker 5: To today's June jobs report showed continued wage growth, and that,

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Speaker 5: combined with the CPI estimated to have been flat month

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Speaker 5: over month, means solid real wage growth. However, what the

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Speaker 5: average American's weekly paycheck can actually buy is still down

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Speaker 5: about three percent since January twenty twenty one, and up

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Speaker 5: less than one percent from January twenty twenty five.

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Speaker 6: And further, Antoni.

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Speaker 5: Again, who remember the criticism of Antoni was that he's

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Speaker 5: basically going to be a total.

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Speaker 6: Trump shill, a Magas shill. And here's what he posted yesterday.

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Speaker 5: Ugly jobs report for June, as payrolls rise just fifty

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Speaker 5: seven thousand, but two previous months were revised down again,

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Speaker 5: sounding like crystal combined seventy four thousand, a net loss

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Speaker 5: of seventeen thousand, while employment level plunges more than half

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Speaker 5: a million as people leave the labor force. One more

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Speaker 5: thing I'm going to put up here is you can

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Speaker 5: see this is from USAFX dot org, which I think

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Speaker 5: is technically a sponsor after party. They have this number.

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Speaker 5: See this purple downturn. That's the This is wages of inflation.

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Speaker 5: And so this is for the Trump administration a pretty

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Speaker 5: bad sign as they go forward into the summer into

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Speaker 5: midterm elections.

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Speaker 2: Let me share something here on the manufacturing piece. So

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Speaker 2: this is manufacturing employment over time, and you can see

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Speaker 2: the way that it builds up through you know, fits

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Speaker 2: and starts even up through the eighties and then with

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Speaker 2: the hard neoliberal turn of the Reagan administration and the NAFTA.

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Speaker 2: You can see the downward spiral here which continues uninbated

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Speaker 2: till twenty ten. There starts to be an uptick. There's

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Speaker 2: this is a major COVID crash, and then this is

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Speaker 2: the Biden administration where you know, it's uh chipped, maybe

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Speaker 2: didn't get built back to better than it was in

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Speaker 2: let's say nineteen seventy, but it was building back better

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Speaker 2: than what it was, but there was some you know,

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Speaker 2: it wasn't sufficient, but there was actually some genuine manufacturing

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Speaker 2: employment improvement, and for the first time in a long time,

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Speaker 2: you coming out of a recession. Normally, what happens in

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Speaker 2: these drops is that the manufacturing employment never comes back,

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Speaker 2: and so this time it came back and it actually

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Speaker 2: recovered beyond where it was during the COVID crash. And

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Speaker 2: you know, now you can see you know, the rate

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Speaker 2: here under the Trump administration where it's just completely flatlined,

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Speaker 2: it's fallen off, et cetera. So you know, again this

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Speaker 2: is just the polar opposite of the promises that they

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Speaker 2: made and what the teriffs were designed to do, and

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Speaker 2: I think at this point, I guess the argument on

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Speaker 2: the other side would be, yeah, but the teriffs got

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Speaker 2: struck down and they never did what they were fully

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Speaker 2: intended to do. But lot, yeah, a lot of terriffs

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Speaker 2: were still in place, are still in place, and it

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Speaker 2: had the exact opposite impact of what you would expect

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Speaker 2: or what they promised. At least it was what we

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Speaker 2: all expected, but what they promised, so, you know, completely counterproductive.

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Speaker 2: And then the programs that genuinely were working to some

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Speaker 2: extent during the Biden administration they doged and destroyed.

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Speaker 4: So there you go, and with the court ruling, you're

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Speaker 4: getting the worst of all worlds. The tariffs which do

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Speaker 4: produce revenue for the government are deemed to be illegal,

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Speaker 4: and then the government has to then give that money back.

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Speaker 4: Howard Lutnix kids and Howard Lutnox firm kind of bought

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Speaker 4: up most of the rights to get those rebates. So

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Speaker 4: not only are we are they kind of hurting manufacturing

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Speaker 4: because they're making it hard for people to import the

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Speaker 4: inputs that they need from manufacturing. We don't even get

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Speaker 4: to keep the money that goes back to Howard Lutnik.

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Speaker 4: And then Trump just puts in new tariffs under a

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Speaker 4: different legal rationale, which maybe gets struck down eventually, and

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Speaker 4: then that money goes to Howard Lutnik too. It's just

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Speaker 4: kind of self dealing all the way down at the

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Speaker 4: expense of American workers.

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Speaker 5: And they totally worth noting they totally pulled out of

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Speaker 5: USMCA this week as well.

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Speaker 3: Interesting but Emily, I've been told from the White House

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Speaker 3: Twitter accounts that we are you know, we are trad

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Speaker 3: caath now we like that women are leaving the workforce

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Speaker 3: and working at home. So this is a resounding success.

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Speaker 5: Right Well, to be clear, we could have a separate

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Speaker 5: debate about that, but a lot of the numbers showed

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Speaker 5: that the preference of most mothers working age mothers is

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Speaker 5: to have some part time work arrangement. But a lot

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Speaker 5: of younger mothers particularly can't do that because wages inflation,

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Speaker 5: et cetera. They have to be grinding and out. And

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Speaker 5: as Crystal said, there's been an adjustment post COVID where

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Speaker 5: a lot of people are frustrated that they can't do

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Speaker 5: jobs from home.

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Speaker 6: They feel like are perfectly they're perfectly capable.

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Speaker 5: Of doing from home, and they've been put back into

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Speaker 5: the workforce as childcare prices are spiking as well. So

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Speaker 5: I don't know about the trad catholicism of the Trump administration.

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Speaker 5: That might just be wishcasting from Vice President Vance.

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Speaker 2: Let me put this last one up here, just this

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Speaker 2: will feed into a leader conversation we'll have about AI.

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Speaker 2: But this is the change in US tech employment. And

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Speaker 2: you know this. Twitter user Joey Politano says the US

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Speaker 2: tech sector continues leading jobs. American tech sector is down

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Speaker 2: forty nine thousand over the last year, and data released

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Speaker 2: this morning nearly as bad as the worst of the

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Speaker 2: twenty twenty four tech sessions, significantly worse than either the

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Speaker 2: twenty eight or twenty twenty recessions. And I mean, I

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Speaker 2: think you have to point to AI as being a

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Speaker 2: significant factor here. All the people who were told learned

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Speaker 2: to code had the rug pulled out from under them,

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Speaker 2: and that's been the frontline of true AI. Job replacement

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Speaker 2: has been in the tech sector because the thing that

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Speaker 2: they can right now do with the most proficiency, and

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Speaker 2: you have a workforce that understands how to deploy the

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Speaker 2: technology is coding. And so I think that's why you

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Speaker 2: see a huge reduction in the tech labor force.

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Speaker 3: All right, well, that'll do it for jobs. But why

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Speaker 3: don't we move over to Kamala who might be returning

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Speaker 3: to look for a new job. In twenty twenty eight,

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Speaker 3: We've got a report here that Kamala is not only

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Speaker 3: reaching out to zorroon mom Donnie, but pro Palestine activist

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Speaker 3: that says you're an axio scoop Harris reaches out to Madonnie,

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Speaker 3: prop houset and activist and run up to twenty twenty eight.

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Speaker 3: I guess she's going from I'm speaking to I'm listening.

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Speaker 6: Oh Griffin.

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Speaker 3: Now, outside of just this report, there's been reports of

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Speaker 3: her reaching out not only to or people reaching out

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Speaker 3: to Mam Donnie, like Pritzker, Joshapiro, Gavin Newsome. It really

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Speaker 3: does seem like mom Donnie is becoming sort of a

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Speaker 3: powerbroker of the Democratic Party. What do you guys think

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Speaker 3: about that?

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Speaker 6: Can I actually also ask you too?

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Speaker 7: Like?

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Speaker 5: This is an interesting comparison because when AOC defeated Joe Crowley,

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Speaker 5: there was this idea that AOC, who by the way,

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Speaker 5: adorsed Abduel sayed this week as well in Michigan's Democratic

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Speaker 5: Senate primary, was going to be the new kind of

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Speaker 5: king maker. And what I think we're seeing is Mom

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Speaker 5: Donnie handling that in a really deft and like leaderly way.

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Speaker 6: I don't even know.

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Speaker 5: If leaderly is a true adverb, but it's kind of

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Speaker 5: been interesting. He's not like, he's sort of subtle about it,

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Speaker 5: but it's concerted and it's serious, and it seems like

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Speaker 5: it's coming to fruition in a way that people might

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Speaker 5: have expected earlier in the DSA boom, but now it

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Speaker 5: feels like it's actually really gelling.

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Speaker 3: Yeah, but let's focus on Kamala and I want you

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Speaker 3: all to react to that first before we get because

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Speaker 3: I do want to talk a little bit about the

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Speaker 3: abdual endorsement here and you reaction to that because just

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Speaker 3: months ago, Kamala could barely even say Zorn's name. Let's

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Speaker 3: take a listen.

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Speaker 8: What do you think of him and his candidacy and

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Speaker 8: what do you think of mainline democratic shyness and agitation

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Speaker 8: about the prospect that he's going to win.

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Speaker 9: Look, as far as I'm concerned, he's the Democratic nominee

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Speaker 9: and he should be supported.

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Speaker 7: What do you endorse his candidacy? I support the Democrat

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Speaker 7: in the race.

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Speaker 3: Sure, what do you so, you know, not exactly brave,

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Speaker 3: but also probably more than a lot of other people

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Speaker 3: had to say at that at that time about him

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Speaker 3: to even support the Democratic nominee in the rays Ryan, Uh,

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Speaker 3: what do you think these conversations are going to be

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Speaker 3: like between her and the pro Palestine activists? How do

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Speaker 3: you think she's going to navigate that situation?

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Speaker 4: And I guess it's a pets on who she talks to.

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Speaker 4: But let's not forget that the number one hit that

437
00:23:20,280 --> 00:23:24,879
Speaker 4: a Giano Espaot used against his opponent, Daria Lisa, was

438
00:23:24,920 --> 00:23:28,280
Speaker 4: that she had said, F Kamala Harris. He put it

439
00:23:28,320 --> 00:23:31,520
Speaker 4: on a giant mailer. He put her face on it.

440
00:23:31,840 --> 00:23:35,520
Speaker 4: If the mailer said F Kamala Harris, Daria Lisa. And

441
00:23:35,560 --> 00:23:38,720
Speaker 4: he mailed that to everybody in his district. And we're

442
00:23:38,720 --> 00:23:41,320
Speaker 4: still looking for a copy. If anyone has a copy

443
00:23:41,320 --> 00:23:45,200
Speaker 4: for us, Oh, copy, yes, put it in the put

444
00:23:45,280 --> 00:23:49,359
Speaker 4: in the museum. Uh So, if you're Kamala Harris and

445
00:23:49,359 --> 00:23:52,560
Speaker 4: you're watching that, to me, you'd be like, all right,

446
00:23:52,560 --> 00:23:55,760
Speaker 4: I guess it's a wrap for me. Like that's like,

447
00:23:55,920 --> 00:23:57,639
Speaker 4: how do you come how do you come back from that?

448
00:23:58,680 --> 00:24:02,959
Speaker 4: Like Normy voter in Harlem saw that and were like,

449
00:24:03,520 --> 00:24:06,840
Speaker 4: I'm with Daria Lisa, Like, where do you go from there?

450
00:24:07,040 --> 00:24:10,000
Speaker 4: I guess where she goes. She calls mom Donnie he

451
00:24:10,119 --> 00:24:13,680
Speaker 4: maybe uses his name at this point, and then asks like,

452
00:24:13,760 --> 00:24:15,800
Speaker 4: who do I need to talk to to get right

453
00:24:15,840 --> 00:24:20,400
Speaker 4: on this question? I think I think nobody. I think

454
00:24:20,400 --> 00:24:23,080
Speaker 4: there's probably room for people to be open to her

455
00:24:23,119 --> 00:24:26,760
Speaker 4: because nobody thinks she has any deeply held views period.

456
00:24:27,240 --> 00:24:30,600
Speaker 4: So it's not like she has a deeply held view

457
00:24:30,640 --> 00:24:34,199
Speaker 4: of support for Israel. She just doesn't care. She's just

458
00:24:34,240 --> 00:24:37,640
Speaker 4: a politician who's going to mouth whatever it is. At

459
00:24:37,640 --> 00:24:40,119
Speaker 4: this point, though, in our politics, I don't think you

460
00:24:40,200 --> 00:24:43,800
Speaker 4: need somebody like that. If you're the kind of progressive left,

461
00:24:43,960 --> 00:24:47,639
Speaker 4: you could get somebody who actually does believe things and

462
00:24:47,720 --> 00:24:51,800
Speaker 4: believes things that you agree with. So also, what like

463
00:24:52,280 --> 00:24:55,200
Speaker 4: she ran in twenty twenty didn't even make it into

464
00:24:55,200 --> 00:24:57,880
Speaker 4: twenty twenty. I think she dropped out before the calendar

465
00:24:57,880 --> 00:25:01,160
Speaker 4: turned into the election year. And then she gets picked

466
00:25:01,200 --> 00:25:05,879
Speaker 4: by Biden and then she becomes the nominee by FIAT, Like,

467
00:25:07,240 --> 00:25:10,600
Speaker 4: what is it about her that Democratic voters are going

468
00:25:10,640 --> 00:25:12,159
Speaker 4: to say, Yeah, this is the person that we need

469
00:25:12,200 --> 00:25:14,160
Speaker 4: to put out on the field. I just don't see it.

470
00:25:14,440 --> 00:25:17,080
Speaker 3: Well, Chrystal, do you think if she does adopt a

471
00:25:17,119 --> 00:25:20,280
Speaker 3: pro Palestine position, she says, now I am listening and

472
00:25:20,720 --> 00:25:24,080
Speaker 3: what we did was wrong, or we should be actually

473
00:25:24,440 --> 00:25:28,000
Speaker 3: holding a larger candle to Israel and holding their feet

474
00:25:28,040 --> 00:25:30,280
Speaker 3: to the fire. Do you think that would get her

475
00:25:30,680 --> 00:25:33,160
Speaker 3: through at least a month or two of the primary

476
00:25:33,240 --> 00:25:35,320
Speaker 3: before crashing out like it does seem like she is

477
00:25:35,359 --> 00:25:35,880
Speaker 3: going to run.

478
00:25:36,040 --> 00:25:38,280
Speaker 2: I mean yeah, I mean she can get through a

479
00:25:38,280 --> 00:25:40,520
Speaker 2: month or two or the primary just from being the first,

480
00:25:40,680 --> 00:25:43,360
Speaker 2: you know, black woman vice president and having some base

481
00:25:43,440 --> 00:25:45,720
Speaker 2: of support because of that in high name recognition. But

482
00:25:46,480 --> 00:25:49,880
Speaker 2: on Palestine, how could you ever trust her? Because when

483
00:25:49,880 --> 00:25:53,040
Speaker 2: it mattered, you did nothing. When it mattered. You would

484
00:25:53,119 --> 00:25:57,280
Speaker 2: not even let a Palestinian American who endorsed you and

485
00:25:57,359 --> 00:26:01,439
Speaker 2: wanted to speak on your behalf the DNC stage.

486
00:26:01,760 --> 00:26:05,160
Speaker 4: What's that, Ryan, Yeah, and say nice things about you exactly.

487
00:26:05,640 --> 00:26:08,639
Speaker 3: So very new speech, right, very iodyne speech.

488
00:26:09,000 --> 00:26:12,000
Speaker 2: So and it reminds very much of Kamala Harris in

489
00:26:12,000 --> 00:26:14,520
Speaker 2: twenty twenty on Medicare for all. Remember she signed on

490
00:26:14,640 --> 00:26:16,960
Speaker 2: bar Bernie's bill as a co sponsor because she thought

491
00:26:17,000 --> 00:26:18,679
Speaker 2: that was a political thing to do, and then some

492
00:26:18,760 --> 00:26:21,639
Speaker 2: donors gave her some pushback, and she remembers she was

493
00:26:21,680 --> 00:26:24,159
Speaker 2: pretending she didn't hear the answer the question when she

494
00:26:24,200 --> 00:26:26,359
Speaker 2: got asked about private insurance. I mean, it's just a

495
00:26:26,400 --> 00:26:30,359
Speaker 2: mess because she doesn't have any core convictions. She's just

496
00:26:30,440 --> 00:26:33,320
Speaker 2: constantly finger in the wind, and the finger is not

497
00:26:33,440 --> 00:26:36,760
Speaker 2: even that sensitive to where the wind is blowing. Okay,

498
00:26:37,160 --> 00:26:39,640
Speaker 2: it's like she's getting the wind from like three years

499
00:26:39,680 --> 00:26:43,600
Speaker 2: ago from blowing by at this point. So yeah, I mean,

500
00:26:44,440 --> 00:26:48,160
Speaker 2: I would point to examples that I think Ryan has

501
00:26:48,520 --> 00:26:53,000
Speaker 2: pointed to in the recent election results, which is Antonio Renoso,

502
00:26:53,400 --> 00:26:55,800
Speaker 2: who was running against Claire Valdez. He said it was

503
00:26:55,800 --> 00:26:58,879
Speaker 2: a genocide, but he didn't say it until it was

504
00:26:58,920 --> 00:27:01,600
Speaker 2: politically convenient to him. It was not until he was

505
00:27:01,680 --> 00:27:03,840
Speaker 2: running and it was clear he needed to say it

506
00:27:03,920 --> 00:27:05,760
Speaker 2: before he said it, and people looked at that and

507
00:27:05,800 --> 00:27:08,200
Speaker 2: said not good enough. When it counted, when it was hard,

508
00:27:08,640 --> 00:27:11,359
Speaker 2: you were nowhere to be found. You could see Scott

509
00:27:11,400 --> 00:27:15,719
Speaker 2: Wiener being confronted by activists while he's at Pride events,

510
00:27:16,160 --> 00:27:18,800
Speaker 2: who and same thing. He has now said it's a genocide.

511
00:27:18,800 --> 00:27:20,600
Speaker 2: But people look at this and go, yeah, But when

512
00:27:20,640 --> 00:27:24,400
Speaker 2: it was hard when the you know, bombs were being dropped.

513
00:27:24,480 --> 00:27:26,880
Speaker 2: Now there's still mass burder happening in gods that, don't

514
00:27:26,880 --> 00:27:29,440
Speaker 2: get me wrong. But when the bombs were being dropped

515
00:27:29,440 --> 00:27:32,199
Speaker 2: and babies were being mass murdered, you had nothing to

516
00:27:32,200 --> 00:27:34,760
Speaker 2: say about it. It's not good enough. So I think

517
00:27:34,840 --> 00:27:37,080
Speaker 2: for you're going to see a lot of Democrats now

518
00:27:37,440 --> 00:27:40,760
Speaker 2: who have been horrendous on this issue, who are looking

519
00:27:40,840 --> 00:27:44,200
Speaker 2: at the election results or going holy shit, I better

520
00:27:44,240 --> 00:27:46,280
Speaker 2: get on board with this or I'm going to be

521
00:27:46,320 --> 00:27:48,080
Speaker 2: in big trouble. You're going to see a lot of

522
00:27:48,119 --> 00:27:51,560
Speaker 2: people repositioning themselves and suddenly you know it's a genocide,

523
00:27:51,560 --> 00:27:55,400
Speaker 2: and suddenly they can get on board with blocking weapons,

524
00:27:55,600 --> 00:27:59,119
Speaker 2: and suddenly they are repositioning themselves as economic, populous and

525
00:27:59,119 --> 00:28:00,720
Speaker 2: trying to meet the moment. That's it's a good thing

526
00:28:01,400 --> 00:28:03,600
Speaker 2: that cynical politicians are trying to move to be in

527
00:28:03,640 --> 00:28:05,840
Speaker 2: the correct place now. But no, I don't think voters

528
00:28:05,880 --> 00:28:09,040
Speaker 2: are going to forget. For Kamala Harris that when it counted,

529
00:28:09,640 --> 00:28:11,880
Speaker 2: both when you were vice president and when you were

530
00:28:11,920 --> 00:28:15,600
Speaker 2: campaigning for president and at risk of losing to Donald Trump,

531
00:28:15,680 --> 00:28:19,199
Speaker 2: which you did then lose, that you were terrible and

532
00:28:19,280 --> 00:28:21,080
Speaker 2: nowhere to be found. So no, I don't think a

533
00:28:21,080 --> 00:28:24,679
Speaker 2: few conversations with you know, pro Palestine activists or reaching

534
00:28:24,680 --> 00:28:26,439
Speaker 2: out to Zorra mom Donnie is going to solve that

535
00:28:26,480 --> 00:28:28,080
Speaker 2: issue for her. I don't think it's fixable.

536
00:28:28,840 --> 00:28:31,200
Speaker 5: I wrote a piece on this this week, going back

537
00:28:31,200 --> 00:28:33,600
Speaker 5: with the not just the Medicare for All and Kamala Harris,

538
00:28:33,640 --> 00:28:35,760
Speaker 5: but also as you all remember, when she got a

539
00:28:35,800 --> 00:28:38,440
Speaker 5: town hall question it was like twenty eighteen or twenty

540
00:28:38,520 --> 00:28:42,360
Speaker 5: nineteen about accepting corporate money versus corporate lobbyist money, like

541
00:28:42,360 --> 00:28:44,920
Speaker 5: corporate pack money versus corporate lobbyist money, and she tried

542
00:28:44,960 --> 00:28:46,680
Speaker 5: to split the hair and it.

543
00:28:46,640 --> 00:28:47,560
Speaker 6: Went super viral.

544
00:28:47,720 --> 00:28:51,400
Speaker 5: She got just like roasted for it, and immediately within

545
00:28:51,520 --> 00:28:53,440
Speaker 5: like a couple of weeks, she went on Breakfast Club

546
00:28:53,480 --> 00:28:56,360
Speaker 5: and was like, I will not be taking corporate pack money.

547
00:28:56,920 --> 00:28:59,480
Speaker 5: And then within a year she was doing a tour

548
00:28:59,560 --> 00:29:03,000
Speaker 5: of the Amptons at just like trying to rake in

549
00:29:03,080 --> 00:29:05,960
Speaker 5: as much corporate money as possible, but within this framework

550
00:29:06,040 --> 00:29:07,960
Speaker 5: of Christian Jilbrand did it as well. There was this

551
00:29:08,120 --> 00:29:10,280
Speaker 5: like rush to say we're not accepting corporate pac money

552
00:29:10,320 --> 00:29:13,600
Speaker 5: in the twenty twenty Democratic primary and then instead of taking.

553
00:29:13,320 --> 00:29:14,000
Speaker 6: The PAC money.

554
00:29:14,200 --> 00:29:17,800
Speaker 5: They were just begging Wall Street and the like hedge

555
00:29:17,800 --> 00:29:21,600
Speaker 5: fund folks for donations either way. So they it was

556
00:29:21,640 --> 00:29:24,719
Speaker 5: like this meaningless thing where she had she had her

557
00:29:24,720 --> 00:29:27,240
Speaker 5: finger in the wind, to Crystal's point, but like couldn't

558
00:29:27,240 --> 00:29:30,320
Speaker 5: even pull that off because she is not principled enough

559
00:29:30,400 --> 00:29:33,360
Speaker 5: or smart enough politically, clever enough politically to pull it off.

560
00:29:33,800 --> 00:29:37,000
Speaker 4: Right, It's like she doesn't understand campaign finance. It's like, bro,

561
00:29:38,480 --> 00:29:41,400
Speaker 4: corporate PAC money doesn't scale for a presidential campaign, Like

562
00:29:41,680 --> 00:29:44,120
Speaker 4: you're capped at like five thousand dollars or something like

563
00:29:44,240 --> 00:29:47,160
Speaker 4: from an individual corporate pack, right, Like do you know

564
00:29:47,280 --> 00:29:49,640
Speaker 4: how much you would how many corporate pack donations you

565
00:29:49,640 --> 00:29:52,760
Speaker 4: would need to get a billion dollars? I mean that's

566
00:29:52,840 --> 00:29:56,000
Speaker 4: it's like you'd need every company pack like on the

567
00:29:56,000 --> 00:30:01,200
Speaker 4: planet to give you multiple donations. But you can go

568
00:30:01,200 --> 00:30:04,440
Speaker 4: to the Hampton's and get a million dollar check from

569
00:30:04,640 --> 00:30:08,040
Speaker 4: the guy that owns the company. Forget the so to

570
00:30:08,040 --> 00:30:14,120
Speaker 4: not even know that, like like we need more competent

571
00:30:14,120 --> 00:30:16,760
Speaker 4: corrupt politicians. It's like, come on, give us, give us

572
00:30:16,760 --> 00:30:20,960
Speaker 4: something better here to do better there.

573
00:30:20,360 --> 00:30:25,360
Speaker 3: Newsom well the politicians, Yeah, he's got it. So the

574
00:30:25,480 --> 00:30:28,200
Speaker 3: politicians are are coming around to the idea that they

575
00:30:28,200 --> 00:30:31,080
Speaker 3: need to pivot on the issue, but mainstream media seems

576
00:30:31,120 --> 00:30:33,040
Speaker 3: to be still stuck on this, which I think leads

577
00:30:33,080 --> 00:30:36,000
Speaker 3: us nicely to this clip of an Abdul al Sayed,

578
00:30:36,120 --> 00:30:39,280
Speaker 3: who's been making the rounds on mainstream media and recently

579
00:30:39,280 --> 00:30:42,040
Speaker 3: got into a little bit of a kerfuffle over saying

580
00:30:42,080 --> 00:30:46,400
Speaker 3: that his opponent Hailey Stevens couldn't string two sentences together

581
00:30:47,600 --> 00:30:53,720
Speaker 3: due to her APAC found a fund so much they

582
00:30:54,280 --> 00:30:56,600
Speaker 3: this this anchor grills him a lot on Israel's right

583
00:30:56,680 --> 00:30:59,600
Speaker 3: to exist. It's the whole shebang all over again. But

584
00:30:59,640 --> 00:31:03,640
Speaker 3: I think this sexist, misogynist accusation is the new one

585
00:31:03,640 --> 00:31:07,800
Speaker 3: that they're going with because APAC really can't run on

586
00:31:07,920 --> 00:31:10,560
Speaker 3: the issue of Israel. Let's take a little bit of casey.

587
00:31:11,120 --> 00:31:13,400
Speaker 10: When you said that you hope that APAC could teach

588
00:31:13,440 --> 00:31:16,360
Speaker 10: Stevens how to stream, why is she standing together?

589
00:31:17,760 --> 00:31:19,800
Speaker 2: Do you regret how you phrase that at all?

590
00:31:20,200 --> 00:31:21,160
Speaker 7: The right way to put it?

591
00:31:23,000 --> 00:31:26,120
Speaker 10: Obviously, Congressman and Stephns is really smart, which is why

592
00:31:26,160 --> 00:31:29,480
Speaker 10: it's so surprising that whenever you ask her why, for example, she.

593
00:31:29,520 --> 00:31:33,320
Speaker 3: Took a trip to Portugal paid for by Center forward.

594
00:31:33,120 --> 00:31:36,320
Speaker 10: One of the super PACs that is playing in this

595
00:31:36,400 --> 00:31:40,200
Speaker 10: election to Portugal with her mom, Why she took that trip,

596
00:31:40,280 --> 00:31:43,600
Speaker 10: why she's taking thirty million dollars from APAC, Where her

597
00:31:43,640 --> 00:31:44,480
Speaker 10: money comes from.

598
00:31:44,680 --> 00:31:46,520
Speaker 3: She struggles to explain.

599
00:31:46,560 --> 00:31:48,680
Speaker 10: What that's, what that is, and so I just think

600
00:31:48,680 --> 00:31:50,840
Speaker 10: it's really important for us to get a clear explanation

601
00:31:50,880 --> 00:31:53,320
Speaker 10: of where that money's coming from and what she's promised

602
00:31:53,360 --> 00:31:56,560
Speaker 10: to these corporations and super PACs, including APAC, about what

603
00:31:56,600 --> 00:31:58,000
Speaker 10: she plans to do for them when she's an AUF.

604
00:31:59,200 --> 00:32:01,040
Speaker 5: Do you want to see the super pacic supporting you

605
00:32:01,160 --> 00:32:03,480
Speaker 5: air negative ads like they've now said they were planning

606
00:32:03,480 --> 00:32:03,680
Speaker 5: to do.

607
00:32:05,400 --> 00:32:07,360
Speaker 10: Obviously I don't coordinate with them, but you're talking about

608
00:32:07,400 --> 00:32:10,800
Speaker 10: the National Nurses United, the UAW Working Families Party. These

609
00:32:10,800 --> 00:32:12,600
Speaker 10: are folks who are trying to push back against the

610
00:32:12,600 --> 00:32:15,280
Speaker 10: missing disinformation that you just saw from APAC. So at

611
00:32:15,280 --> 00:32:16,920
Speaker 10: the end of the day, I would rather not engage

612
00:32:16,920 --> 00:32:19,320
Speaker 10: in negative campaigning at all. I don't do it on

613
00:32:19,360 --> 00:32:21,840
Speaker 10: my campaign. We're focused on talking about getting money out

614
00:32:21,840 --> 00:32:24,280
Speaker 10: of politics, putting money in your pocket, passing Medicare for all,

615
00:32:24,560 --> 00:32:27,040
Speaker 10: standing up with and for women, doing the work that

616
00:32:27,080 --> 00:32:29,560
Speaker 10: builds in America. Where everybody knows that they can get

617
00:32:29,560 --> 00:32:31,080
Speaker 10: the health care they need when they need it, that

618
00:32:31,120 --> 00:32:33,320
Speaker 10: they get childcare when they need it, and that their

619
00:32:33,600 --> 00:32:36,440
Speaker 10: healthcare and their economy is not dominated by a large

620
00:32:36,440 --> 00:32:39,320
Speaker 10: corporation telling us what we can't have, shouldn't fight for,

621
00:32:39,600 --> 00:32:40,440
Speaker 10: and have to put up with.

622
00:32:40,840 --> 00:32:44,719
Speaker 3: All Right, so we've got the thirty million APEX spend

623
00:32:44,840 --> 00:32:49,080
Speaker 3: versus the dark money of the nurses in the UAW,

624
00:32:49,920 --> 00:32:50,560
Speaker 3: what do we make of it?

625
00:32:50,640 --> 00:32:50,720
Speaker 7: It?

626
00:32:50,800 --> 00:32:53,640
Speaker 2: Let me just let me as a woman, let me

627
00:32:53,680 --> 00:32:57,600
Speaker 2: weigh in here. Since the ad that APET, the APAC

628
00:32:57,680 --> 00:33:01,840
Speaker 2: backed group put out, said that abdul ah Sayad has

629
00:33:01,920 --> 00:33:05,000
Speaker 2: like a history of disparaging women or something like that,

630
00:33:05,440 --> 00:33:07,920
Speaker 2: and the Detroit Free Press dug into the claims that

631
00:33:07,960 --> 00:33:11,320
Speaker 2: they made in this ad and were like, this is total,

632
00:33:11,360 --> 00:33:14,160
Speaker 2: incomplete bullshit. One of them, just to give you a sense,

633
00:33:14,840 --> 00:33:19,680
Speaker 2: was like he said Michelle Obama was ineffectual and incompetent

634
00:33:19,840 --> 00:33:24,040
Speaker 2: or something like that, and he was critiquing her, you know,

635
00:33:24,080 --> 00:33:27,000
Speaker 2: her push when she was the first lady the Let's

636
00:33:27,040 --> 00:33:29,600
Speaker 2: Move project, and he was saying, look, it's great to

637
00:33:29,680 --> 00:33:32,720
Speaker 2: encourage kids to move, and you know that's that's good,

638
00:33:32,760 --> 00:33:35,440
Speaker 2: but we also have to address these structural factors, very

639
00:33:35,440 --> 00:33:37,560
Speaker 2: consistent with his view on Medicare for all, and he

640
00:33:37,600 --> 00:33:41,160
Speaker 2: said that her program was well meaning but ineffectual, and

641
00:33:41,240 --> 00:33:43,760
Speaker 2: so they used that to be like, he hates Michelle

642
00:33:43,800 --> 00:33:47,360
Speaker 2: Obama and smeared her in a sexist way. It's total,

643
00:33:47,400 --> 00:33:51,760
Speaker 2: incomplete bullshit. Obviously, it's also very Hillary Clinton twenty sixteen

644
00:33:51,920 --> 00:33:55,480
Speaker 2: coded what they did to Bernie of the toxic Bernie bros.

645
00:33:55,640 --> 00:33:58,880
Speaker 2: And breaking up the big banks doesn't end racism. It's

646
00:33:58,880 --> 00:34:02,040
Speaker 2: a great reminder of where the you know, woke one

647
00:34:02,120 --> 00:34:05,280
Speaker 2: point zero type politics, the well from which they sprung,

648
00:34:05,320 --> 00:34:08,240
Speaker 2: which was the neoliberals trying to beat back this left insurgency.

649
00:34:08,280 --> 00:34:10,080
Speaker 2: They're trying to run the same playbook. I don't think

650
00:34:10,080 --> 00:34:12,040
Speaker 2: it's going to work. But the other thing I see here,

651
00:34:12,080 --> 00:34:14,080
Speaker 2: and you guys can tell me if I'm overreaching on this,

652
00:34:14,239 --> 00:34:19,320
Speaker 2: but Abdul Sayed is a Muslim Man, and I also

653
00:34:19,360 --> 00:34:22,719
Speaker 2: think there's a little bit of, oh, let's tell the

654
00:34:22,800 --> 00:34:26,720
Speaker 2: public that this Muslim man mistreats women, because that's the

655
00:34:26,920 --> 00:34:30,719
Speaker 2: Islami phobe stereotype of Muslim cin America. So I think

656
00:34:30,719 --> 00:34:33,160
Speaker 2: there's some of that going on there, which is really gross.

657
00:34:33,200 --> 00:34:36,560
Speaker 2: But if you watch that whole interview, Griffin. You referenced

658
00:34:36,560 --> 00:34:39,480
Speaker 2: the Casey was pushing him on, does Israel have a

659
00:34:39,520 --> 00:34:41,440
Speaker 2: right to exist? Why wouldn't you say Israel has a

660
00:34:41,480 --> 00:34:43,520
Speaker 2: right to exist? And Abdol handled it very well. He

661
00:34:43,640 --> 00:34:45,360
Speaker 2: was like, look, no one ever asked me if Palistein

662
00:34:45,360 --> 00:34:47,560
Speaker 2: has a right to exist. The reality is Israel does exist.

663
00:34:47,719 --> 00:34:49,560
Speaker 2: Let's ask the question with our tax dollars should be

664
00:34:49,640 --> 00:34:52,399
Speaker 2: going to them to bomb babies rather than let's say,

665
00:34:52,440 --> 00:34:55,640
Speaker 2: building hospitals in the state of Michigan. Great answer, but

666
00:34:55,840 --> 00:34:59,840
Speaker 2: I really think the media has lost the plot on

667
00:35:00,080 --> 00:35:01,840
Speaker 2: what is going to help and what is going to

668
00:35:01,920 --> 00:35:06,279
Speaker 2: hurt these candidates. For the vast majority of Americans, not

669
00:35:06,320 --> 00:35:10,000
Speaker 2: just Democrats, Americans, when they look at that exchange, they

670
00:35:10,000 --> 00:35:13,040
Speaker 2: are going to be on Abdul side. They're going to say, yeah,

671
00:35:13,080 --> 00:35:15,480
Speaker 2: he's right, Why are we spending our tax dollars? Why

672
00:35:15,520 --> 00:35:17,480
Speaker 2: is he being harangued over this issue? By the way,

673
00:35:17,520 --> 00:35:21,760
Speaker 2: again and again in this incredibly tired and cliche way.

674
00:35:22,120 --> 00:35:25,440
Speaker 2: So it reminds me somewhat of the way that some

675
00:35:25,520 --> 00:35:28,000
Speaker 2: of the attacks on Trump from the mainstream press have

676
00:35:28,120 --> 00:35:31,200
Speaker 2: backfired over the years in the same way where you know,

677
00:35:31,280 --> 00:35:33,239
Speaker 2: when he comes out and he's slinging, and he's making

678
00:35:33,280 --> 00:35:35,279
Speaker 2: them look like they're melting down, and he's sort of

679
00:35:35,320 --> 00:35:37,880
Speaker 2: like owning them. People are going, oh, yeah, I like

680
00:35:38,000 --> 00:35:40,440
Speaker 2: this guy versus they thought they were hurting him. And

681
00:35:40,440 --> 00:35:43,280
Speaker 2: I think there's a similar dynamic going on now where

682
00:35:43,440 --> 00:35:47,600
Speaker 2: the mainstream press doesn't realize that, for example, associating a

683
00:35:47,600 --> 00:35:50,520
Speaker 2: candidate with Hassan for the Democratic base, they're looking at

684
00:35:50,560 --> 00:35:52,520
Speaker 2: that and going, oh, I guess that's the candidate that

685
00:35:52,640 --> 00:35:55,000
Speaker 2: is actually good on Israel, that actually has a world compass.

686
00:35:55,040 --> 00:35:56,880
Speaker 2: I'm going to be with that guy, which is exactly

687
00:35:56,960 --> 00:35:59,319
Speaker 2: what happened in the Michigan race with Abdulla as well.

688
00:36:01,480 --> 00:36:03,880
Speaker 5: I think there's something to that, And Casey Hunt is

689
00:36:03,880 --> 00:36:06,879
Speaker 5: a good example on CNN of somebody who I think

690
00:36:07,280 --> 00:36:10,560
Speaker 5: is it's odd because I'm trying to explain this and

691
00:36:10,600 --> 00:36:12,440
Speaker 5: you guys can tell me if I'm off on this,

692
00:36:12,560 --> 00:36:16,920
Speaker 5: but like post quote unquote woke politics are sort of

693
00:36:17,200 --> 00:36:20,520
Speaker 5: strange how they've split in the centrist media because on

694
00:36:20,560 --> 00:36:23,799
Speaker 5: the one hand, they know that like political correctness is

695
00:36:23,960 --> 00:36:26,880
Speaker 5: over and they should be having these like fiery panels

696
00:36:26,960 --> 00:36:29,600
Speaker 5: on the Abby Phillips Show whatever, like let everybody shout

697
00:36:29,640 --> 00:36:32,239
Speaker 5: at each other. On the other hand, they still do

698
00:36:32,360 --> 00:36:36,839
Speaker 5: want to like tone police sexism and misogyny and don't

699
00:36:37,000 --> 00:36:39,800
Speaker 5: understand in any way whatsoever that people don't buy these

700
00:36:39,880 --> 00:36:43,560
Speaker 5: like really thin attacks anymore. It does to a Crystal's point,

701
00:36:43,560 --> 00:36:45,719
Speaker 5: it does remind me a bit of every time the

702
00:36:45,760 --> 00:36:46,440
Speaker 5: media will.

703
00:36:46,239 --> 00:36:50,000
Speaker 6: Melt down about tone policing Trump and knowing.

704
00:36:49,760 --> 00:36:52,719
Speaker 5: That the public is, like, no, most people in the

705
00:36:52,719 --> 00:36:56,319
Speaker 5: public aren't on board with Trump's tone, but it's not

706
00:36:56,480 --> 00:36:59,400
Speaker 5: like the core issue that they're concerned about. Over and

707
00:36:59,440 --> 00:37:01,760
Speaker 5: over again. They're concerned about putting food on their table,

708
00:37:01,800 --> 00:37:04,280
Speaker 5: paying their healthcare bills, and like being able to afford

709
00:37:04,400 --> 00:37:07,279
Speaker 5: daycare stuff like that, and so it just it's a

710
00:37:07,320 --> 00:37:10,040
Speaker 5: strange dynamic when you see the media try to like

711
00:37:10,640 --> 00:37:13,760
Speaker 5: parse these politics in twenty twenty six they just don't

712
00:37:13,800 --> 00:37:16,879
Speaker 5: know what actually people care about Michigan. And you see

713
00:37:16,880 --> 00:37:20,640
Speaker 5: it with it's very Bernie twenty sixteen.

714
00:37:22,120 --> 00:37:27,680
Speaker 4: Apak doing that type of attack ad, you know, basically

715
00:37:27,960 --> 00:37:31,759
Speaker 4: dredging up twenty fifteen again feels sort of like the

716
00:37:32,040 --> 00:37:34,879
Speaker 4: you know, hello, fellow Democrats, how do you do kind

717
00:37:34,920 --> 00:37:39,000
Speaker 4: of thing? Like you guys care about women and women's rights? Right, Well,

718
00:37:39,040 --> 00:37:42,360
Speaker 4: this and right, well, you're like ten years late on

719
00:37:42,400 --> 00:37:43,560
Speaker 4: this and I don't think people are going to buy

720
00:37:43,560 --> 00:37:47,520
Speaker 4: it from you. And politically, kind of pragmatically, he's going

721
00:37:47,560 --> 00:37:51,440
Speaker 4: to overwhelmingly win women in Michigan. His challenge against Mike

722
00:37:51,560 --> 00:37:55,200
Speaker 4: Rodgers is going to be independent women, independent men, and

723
00:37:55,239 --> 00:37:59,040
Speaker 4: old older men too. He needs to tighten the margins.

724
00:37:59,080 --> 00:38:02,040
Speaker 4: He's going to lose old older men to Mike Rogers.

725
00:38:02,320 --> 00:38:05,799
Speaker 4: But if he can shrink that margin, then you know

726
00:38:05,840 --> 00:38:08,759
Speaker 4: he can, then he's going to be more competitive. And ironically,

727
00:38:09,360 --> 00:38:13,560
Speaker 4: some of those older men uh in Michigan are going

728
00:38:13,600 --> 00:38:16,880
Speaker 4: to hear these ads saying that he's you know, hostile

729
00:38:16,920 --> 00:38:20,040
Speaker 4: to women, and it's going to cut against the Republican

730
00:38:20,080 --> 00:38:23,600
Speaker 4: attack that he's too far left, and they're gonna be

731
00:38:23,640 --> 00:38:25,879
Speaker 4: they're gonna be more open to him ironically.

732
00:38:26,560 --> 00:38:29,560
Speaker 3: And there's there's a barstool there's also these like young

733
00:38:29,600 --> 00:38:33,240
Speaker 3: barstool guys. I'm seeing that I'm going out for Abdul

734
00:38:33,400 --> 00:38:35,880
Speaker 3: like I'm seeing I'm seeing these Dave port and I

735
00:38:36,000 --> 00:38:45,120
Speaker 3: esque bros. Holding women's our guy. Well, I think it's more. Oh,

736
00:38:45,160 --> 00:38:47,840
Speaker 3: I love that that's a good shirt too, really good shirt.

737
00:38:48,320 --> 00:38:51,279
Speaker 2: I want that shirt. But you know, what. I just

738
00:38:51,320 --> 00:38:53,200
Speaker 2: have to give a shout out to David Serena, who

739
00:38:53,200 --> 00:38:56,320
Speaker 2: went to Michigan and did the gym thing with Abdul

740
00:38:56,440 --> 00:38:59,759
Speaker 2: despite decidedly not being a jim Bro himself. I'm just

741
00:38:59,800 --> 00:39:02,480
Speaker 2: really want to admire I just admire him for doing

742
00:39:02,480 --> 00:39:05,239
Speaker 2: that and making himself vulnerable in that way. He's like,

743
00:39:05,320 --> 00:39:07,160
Speaker 2: I got crushed, but it was a good time.

744
00:39:08,040 --> 00:39:10,280
Speaker 3: Yes, he admitted to me on Twitter that he's actually

745
00:39:10,520 --> 00:39:13,520
Speaker 3: a gamer, So yeah, gamer in the gym is very unusual.

746
00:39:14,320 --> 00:39:17,520
Speaker 3: So we've been talking a lot though. There's another, you know,

747
00:39:17,600 --> 00:39:21,320
Speaker 3: big c change in this race because AOC just endorsed

748
00:39:21,360 --> 00:39:23,440
Speaker 3: I guess she heard that he was a misogynist and

749
00:39:23,480 --> 00:39:27,000
Speaker 3: now she's in. Now she's all in. Now. We talk

750
00:39:27,080 --> 00:39:31,920
Speaker 3: a lot about AOC's strategies on who to endorse and when.

751
00:39:32,080 --> 00:39:35,000
Speaker 3: So I did definitely want Crystal's reaction to this, you know,

752
00:39:36,120 --> 00:39:38,880
Speaker 3: crystals well or or Crystal can leave the can I

753
00:39:38,880 --> 00:39:40,000
Speaker 3: can get Ryan to do it.

754
00:39:41,000 --> 00:39:43,200
Speaker 2: You're trying to give me yelled at again, But.

755
00:39:43,120 --> 00:39:45,480
Speaker 3: There's also talk about yeah, but there's also talk about it.

756
00:39:47,680 --> 00:39:48,200
Speaker 7: For their cons.

757
00:39:48,719 --> 00:39:50,640
Speaker 2: It's great that she endorsed him. I just want to

758
00:39:50,680 --> 00:39:52,920
Speaker 2: see more of this, you know, and it's and it's

759
00:39:52,960 --> 00:39:56,280
Speaker 2: significant too because Hailey Stevens is one of her colleagues,

760
00:39:56,520 --> 00:39:59,960
Speaker 2: so you know, she to go in and endorse Abdoor

761
00:40:00,560 --> 00:40:02,920
Speaker 2: at this point I think makes a difference. I think

762
00:40:02,960 --> 00:40:05,359
Speaker 2: Abdullah's on track for victory. So I also think it's

763
00:40:05,360 --> 00:40:08,560
Speaker 2: like relatively safe for her at this point to jump

764
00:40:08,560 --> 00:40:11,040
Speaker 2: in the race. I just want to see her use

765
00:40:11,200 --> 00:40:14,480
Speaker 2: that power more so. A great example of you know,

766
00:40:14,520 --> 00:40:16,520
Speaker 2: another place where she could make a difference is with

767
00:40:16,600 --> 00:40:18,879
Speaker 2: Corey Bush and Missouri, and maybe she's going to get

768
00:40:18,880 --> 00:40:21,600
Speaker 2: in there, but Corey's a former colleague, you know, they

769
00:40:21,680 --> 00:40:24,560
Speaker 2: are friends as far as I know. But she's running

770
00:40:24,560 --> 00:40:27,799
Speaker 2: against Wesley Bell, who takes bajillions of dollars from a

771
00:40:27,920 --> 00:40:30,680
Speaker 2: pack roughly, and so that would be a race where

772
00:40:30,680 --> 00:40:33,640
Speaker 2: it will really make a difference. In terms of the

773
00:40:33,680 --> 00:40:37,600
Speaker 2: New York coordination thing, I completely you know, I'd seen

774
00:40:37,600 --> 00:40:40,520
Speaker 2: this reporting before that she and Zorn coordinated, and you know,

775
00:40:40,719 --> 00:40:43,440
Speaker 2: I don't doubt that that is the case. I just

776
00:40:43,840 --> 00:40:48,440
Speaker 2: from my perspective, Zorin has gotten justifiably a lot of

777
00:40:48,440 --> 00:40:50,280
Speaker 2: the credit and is now being called by Kam Layers

778
00:40:50,320 --> 00:40:53,399
Speaker 2: and Gavin Newsom, et cetera because he is perceived as

779
00:40:53,440 --> 00:40:56,120
Speaker 2: this kingmaker, and I think that's legitimate. You know, I

780
00:40:56,160 --> 00:40:59,280
Speaker 2: think he almost uniquely was able to transfer his coalition

781
00:40:59,480 --> 00:41:03,560
Speaker 2: to these candidates. In New York City, people spoke to

782
00:41:03,880 --> 00:41:06,200
Speaker 2: reporters on the ground who were voting for Daria Liza

783
00:41:06,200 --> 00:41:07,680
Speaker 2: and were just basically like, Yeah, I don't know much

784
00:41:07,680 --> 00:41:09,880
Speaker 2: about her, but it's Zoraen's candidate, so I'm voting for her.

785
00:41:10,520 --> 00:41:13,440
Speaker 2: I think that's pretty extraordinary. And so if AOC had

786
00:41:13,760 --> 00:41:17,520
Speaker 2: taken the risk of also backing some candidates against her,

787
00:41:17,719 --> 00:41:20,680
Speaker 2: against incumbents, which is what she was when she won,

788
00:41:21,080 --> 00:41:23,360
Speaker 2: she would also be able to accumulate that capital and

789
00:41:23,400 --> 00:41:25,840
Speaker 2: be seen very much as the leader of this movement. So,

790
00:41:26,239 --> 00:41:28,960
Speaker 2: you know, I think she's playing it too safe. I

791
00:41:29,000 --> 00:41:31,520
Speaker 2: think that she is deferring too much to the feelings

792
00:41:31,520 --> 00:41:36,640
Speaker 2: of her colleagues versus the needs of the movement. And

793
00:41:36,760 --> 00:41:38,719
Speaker 2: there are a number of races that it really could

794
00:41:38,719 --> 00:41:40,560
Speaker 2: make a difference. You Another example here is I think

795
00:41:40,600 --> 00:41:43,120
Speaker 2: if Bernie also I think plays it a little too safe,

796
00:41:43,160 --> 00:41:45,279
Speaker 2: al though not quite as safe as AOC. If he

797
00:41:45,320 --> 00:41:48,600
Speaker 2: and a AOC had endorsed Tom Steyer in California, who

798
00:41:48,640 --> 00:41:51,160
Speaker 2: was clearly the most progressive candidate. He would have made

799
00:41:51,160 --> 00:41:53,720
Speaker 2: the top two. It was very close, and he would

800
00:41:53,800 --> 00:41:55,279
Speaker 2: you know, be in the game and have a real

801
00:41:55,320 --> 00:41:57,759
Speaker 2: shot at winning in that state, and that would make

802
00:41:57,760 --> 00:41:59,600
Speaker 2: a huge difference. So I just think there's a lot

803
00:41:59,640 --> 00:42:02,320
Speaker 2: of miss opportunities here in too much of a cautious approach.

804
00:42:02,440 --> 00:42:05,360
Speaker 2: But I'm very glad to see her endorse Abdul And I.

805
00:42:05,400 --> 00:42:07,480
Speaker 3: Mean, darl Lisa won by like two thousand votes. That

806
00:42:07,560 --> 00:42:09,640
Speaker 3: was a really close one, very close.

807
00:42:09,880 --> 00:42:12,080
Speaker 4: Yeah, And I've seen people say, well, how come it's

808
00:42:12,120 --> 00:42:14,520
Speaker 4: okay for it's not okay for AOC to do it

809
00:42:14,560 --> 00:42:17,279
Speaker 4: this way, but it's okay for mom Donnie to do it,

810
00:42:17,480 --> 00:42:20,400
Speaker 4: And actually, you know, you're it's it's sexist, it's a

811
00:42:20,400 --> 00:42:24,720
Speaker 4: double standard. There's a there's a very big distinction between

812
00:42:24,719 --> 00:42:28,000
Speaker 4: the two at this moment. As as mayor, he's highly

813
00:42:28,040 --> 00:42:31,160
Speaker 4: dependent on what Albany kind of allows him to do

814
00:42:32,040 --> 00:42:35,520
Speaker 4: as mayor. Like that, his his agenda for the budget,

815
00:42:36,040 --> 00:42:38,080
Speaker 4: for the budget for lots of weathering is direct is

816
00:42:38,120 --> 00:42:41,200
Speaker 4: directly linked to his ability to get things done in Albany.

817
00:42:41,640 --> 00:42:44,879
Speaker 4: AOC does not need the House of Representatives. The House

818
00:42:44,920 --> 00:42:48,640
Speaker 4: of Representatives is her platform, but she is not like

819
00:42:49,320 --> 00:42:52,040
Speaker 4: she's not. She's not going to pass some like Okasio

820
00:42:52,120 --> 00:42:55,240
Speaker 4: Cortes Act over the next couple of years that Trump

821
00:42:55,320 --> 00:42:59,560
Speaker 4: is going to sign into law. And if she's going

822
00:42:59,600 --> 00:43:02,240
Speaker 4: to do it next term, it's going to be because

823
00:43:02,280 --> 00:43:05,880
Speaker 4: of the power that she builds nationally. Nobody in the

824
00:43:05,960 --> 00:43:10,520
Speaker 4: House except maybe a couple of Republicans likes Rocana like

825
00:43:10,560 --> 00:43:14,200
Speaker 4: they hate him. House Democrats they hate him. Yet he

826
00:43:14,360 --> 00:43:17,520
Speaker 4: passed the economassy legislation because of the raw power of

827
00:43:17,520 --> 00:43:22,560
Speaker 4: the public getting behind him. So yes, she's preserving her

828
00:43:22,719 --> 00:43:26,120
Speaker 4: relationships in the House by not endorsing any incumbents and

829
00:43:26,440 --> 00:43:28,960
Speaker 4: she and if she sticks by this apparent pledge that

830
00:43:29,000 --> 00:43:32,480
Speaker 4: she made to not endorse any challengers, that literally does

831
00:43:32,560 --> 00:43:35,200
Speaker 4: mean that she won't get behind Corey Bush against Wesley Bell,

832
00:43:35,640 --> 00:43:38,080
Speaker 4: who ran in twenty eighteen with her, was her former

833
00:43:38,200 --> 00:43:40,960
Speaker 4: incomment colleague that APAX spent millions to knock out.

834
00:43:42,680 --> 00:43:43,040
Speaker 3: You know that.

835
00:43:43,760 --> 00:43:47,240
Speaker 4: Slept out on the capital steps to protect people from eviction.

836
00:43:47,960 --> 00:43:49,719
Speaker 4: And you're not going to You're not gonna get behind

837
00:43:49,719 --> 00:43:52,160
Speaker 4: her because you're trying to preserve relationships with these people

838
00:43:52,880 --> 00:43:56,640
Speaker 4: you know that would love to see you burn And

839
00:43:56,719 --> 00:44:00,000
Speaker 4: for what It's not like you're developing any legislative.

840
00:43:59,480 --> 00:44:02,120
Speaker 2: Power, and that's such an important Both of those are

841
00:44:02,160 --> 00:44:06,960
Speaker 2: important points. Okay, you don't think that the democratic establishment

842
00:44:07,320 --> 00:44:10,880
Speaker 2: would destroy her giving the slightest possible chance, Like this

843
00:44:11,000 --> 00:44:14,239
Speaker 2: loyalty she's showing is not going to be reciprocated. That's

844
00:44:14,320 --> 00:44:17,600
Speaker 2: number one. Number two, she's this is you know, she's

845
00:44:17,600 --> 00:44:19,759
Speaker 2: been taking this approach for a while. What has it

846
00:44:19,760 --> 00:44:23,720
Speaker 2: gotten you? When you wanted to be the ranking member

847
00:44:23,880 --> 00:44:26,880
Speaker 2: on over such they were like, no, we're going to

848
00:44:26,960 --> 00:44:28,719
Speaker 2: give it to this man who was literally going to

849
00:44:28,719 --> 00:44:30,520
Speaker 2: be dead in a few months. We will pick him

850
00:44:30,520 --> 00:44:33,080
Speaker 2: over you. I mean, it's that's.

851
00:44:32,719 --> 00:44:35,279
Speaker 4: That's what it's doing. She made the promise in that

852
00:44:35,360 --> 00:44:37,719
Speaker 4: campaign that she wouldn't endorse.

853
00:44:37,920 --> 00:44:39,680
Speaker 2: So she kept the promise but didn't even care.

854
00:44:40,160 --> 00:44:43,440
Speaker 4: Even didn't get the position now any contract was the

855
00:44:43,480 --> 00:44:46,360
Speaker 4: front runner for president. So that's the counter argument.

856
00:44:46,800 --> 00:44:49,440
Speaker 2: In contrast Zorn, you know, with his move some of

857
00:44:49,480 --> 00:44:52,440
Speaker 2: which I was critical of at the time, they've paid off.

858
00:44:52,680 --> 00:44:55,080
Speaker 2: He was right. I was wrong, you know, in terms

859
00:44:55,080 --> 00:44:58,640
Speaker 2: of preserving his relationship with Hochel, not endorsing against hackem Jefferies,

860
00:44:58,880 --> 00:45:00,640
Speaker 2: and as you pointed out right now, he went through

861
00:45:00,680 --> 00:45:03,200
Speaker 2: the DSA democratic process too, by the way, and made

862
00:45:03,200 --> 00:45:05,800
Speaker 2: his case and they were like, okay, narrowly, we agree

863
00:45:05,840 --> 00:45:10,759
Speaker 2: with you here. So it has been a successful pragmatic

864
00:45:10,840 --> 00:45:13,640
Speaker 2: approach with AOC who's been in the House now almost

865
00:45:13,680 --> 00:45:17,239
Speaker 2: a decade. It's hard to point to similar fruits of

866
00:45:17,440 --> 00:45:19,839
Speaker 2: you know, the approach that she's taken in terms of

867
00:45:19,920 --> 00:45:23,799
Speaker 2: like pragmatic legislative victories. And then the last thing that

868
00:45:23,800 --> 00:45:26,160
Speaker 2: we haven't even mentioned here is she's already come out

869
00:45:26,160 --> 00:45:28,960
Speaker 2: and said she's went for Hakeem Jeffreys for speaker. Why

870
00:45:29,000 --> 00:45:32,120
Speaker 2: would you do that? Why even if you, in your

871
00:45:32,160 --> 00:45:34,120
Speaker 2: heart of hearts know that at the end of the day, okay,

872
00:45:34,120 --> 00:45:37,440
Speaker 2: I will vote for him, why would you announce that publicly? Now?

873
00:45:37,840 --> 00:45:41,080
Speaker 2: That just means that going into those negotiations, you have

874
00:45:41,520 --> 00:45:44,400
Speaker 2: zero power and leverage. There is no ability of you

875
00:45:44,520 --> 00:45:47,080
Speaker 2: to join. You know, all of your new colleagues at

876
00:45:47,120 --> 00:45:49,480
Speaker 2: Chris Rabm and you know you've already got Summer Lean

877
00:45:49,520 --> 00:45:51,960
Speaker 2: and you've got Dari Lisa and Clara Valdez and all

878
00:45:52,000 --> 00:45:54,719
Speaker 2: of these people that are coming in now. And you

879
00:45:54,719 --> 00:45:57,680
Speaker 2: know in may Leed Kiros in Colorado you have a

880
00:45:57,719 --> 00:46:01,520
Speaker 2: genuine faction here who could push force real things and

881
00:46:01,600 --> 00:46:05,480
Speaker 2: extract some concessions out of Hakeem Jefferys and the Democratic establishment.

882
00:46:05,760 --> 00:46:09,320
Speaker 2: And you've just handed over willingly all of your power.

883
00:46:09,719 --> 00:46:11,120
Speaker 2: Why why would.

884
00:46:12,400 --> 00:46:12,840
Speaker 7: Sense to me?

885
00:46:13,160 --> 00:46:15,520
Speaker 3: But Chris rab also said the same thing on the show,

886
00:46:15,640 --> 00:46:17,279
Speaker 3: So it does seem to be some sort of keep

887
00:46:17,320 --> 00:46:19,200
Speaker 3: your powder dry strategy.

888
00:46:19,560 --> 00:46:22,880
Speaker 2: Please you may remember better than me my recollection as

889
00:46:22,920 --> 00:46:25,320
Speaker 2: he was just like, I'm not sure, we'll see who's running.

890
00:46:25,760 --> 00:46:28,560
Speaker 2: AOC actively said no, I will vote for Hickem Jefferies.

891
00:46:28,760 --> 00:46:30,560
Speaker 2: So those are those are different things.

892
00:46:30,560 --> 00:46:30,719
Speaker 3: Now.

893
00:46:30,760 --> 00:46:33,600
Speaker 2: I prefer to see the malakiros approach of I will

894
00:46:33,600 --> 00:46:36,280
Speaker 2: not vote for Kiem Jefferies, but at the very least

895
00:46:36,960 --> 00:46:39,040
Speaker 2: have that line of like, I don't know who's running,

896
00:46:39,040 --> 00:46:42,279
Speaker 2: so we'll see, right, Yeah, keep maintain your leverage. That's

897
00:46:42,320 --> 00:46:44,080
Speaker 2: all you have to do. It was crazy to me

898
00:46:44,120 --> 00:46:45,359
Speaker 2: to see her give that up like that.

899
00:46:45,760 --> 00:46:47,920
Speaker 5: Yeah, you can get so many different I mean, obviously

900
00:46:48,360 --> 00:46:50,400
Speaker 5: this was Ryan. We were talking about this the other day.

901
00:46:50,440 --> 00:46:52,960
Speaker 5: This was Kevin McCarthy's great downfalls that he ended up

902
00:46:53,000 --> 00:46:55,800
Speaker 5: giving so much away. I don't think it ultimately helped

903
00:46:55,840 --> 00:46:58,880
Speaker 5: the Freedom Caucus folks and those who voted against Kevin McCarthy.

904
00:46:58,880 --> 00:47:01,120
Speaker 5: But that's because they play it poorly, to be honest,

905
00:47:01,120 --> 00:47:04,319
Speaker 5: when they ousted him, but that is exactly how they

906
00:47:04,400 --> 00:47:06,200
Speaker 5: He ended up as a speaker because he had to

907
00:47:06,239 --> 00:47:10,640
Speaker 5: give so much to the HFC people just to secure

908
00:47:10,680 --> 00:47:13,759
Speaker 5: their votes, because they leveraged their votes, which is a

909
00:47:13,800 --> 00:47:16,880
Speaker 5: thing that you can do in politics magically. It's amazing

910
00:47:16,920 --> 00:47:19,600
Speaker 5: how that works. But I actually thought the way that

911
00:47:19,640 --> 00:47:24,080
Speaker 5: AOC played the Nancy Pelosi stuff was impressive in the moment.

912
00:47:24,160 --> 00:47:25,440
Speaker 6: I actually though, on the.

913
00:47:25,400 --> 00:47:29,000
Speaker 5: Other hand, now that we have some time in the

914
00:47:29,080 --> 00:47:32,120
Speaker 5: rear room mirror, look at that and say, well, with

915
00:47:32,320 --> 00:47:35,560
Speaker 5: Zorron and now this new wave, it's not even an

916
00:47:35,600 --> 00:47:39,600
Speaker 5: option for the Democratic establishment anymore to continue clinging to

917
00:47:39,640 --> 00:47:42,839
Speaker 5: their status quo because they literally do not have the

918
00:47:43,200 --> 00:47:45,840
Speaker 5: public on their side. They don't have the momentum of

919
00:47:45,920 --> 00:47:48,960
Speaker 5: the party's base, they don't have the grassroots, and so

920
00:47:49,000 --> 00:47:51,000
Speaker 5: it's not just kind of like, oh, maybe we're in

921
00:47:51,040 --> 00:47:52,279
Speaker 5: a transition phase circ.

922
00:47:52,440 --> 00:47:54,439
Speaker 6: Twenty eighteen, twenty twenty, twenty twenty two.

923
00:47:54,560 --> 00:47:57,799
Speaker 5: Now it is just like abundantly clear what direction the

924
00:47:57,840 --> 00:48:00,080
Speaker 5: party is going and what direction the voters wanted to

925
00:48:00,120 --> 00:48:03,239
Speaker 5: go in, and so it's it's like she is. She

926
00:48:03,360 --> 00:48:06,280
Speaker 5: could be more powerful than Hakim Jeffries if she chose

927
00:48:06,320 --> 00:48:09,279
Speaker 5: to be like Jakim Jeffries is this Leau guy. Yeah,

928
00:48:09,320 --> 00:48:12,040
Speaker 5: he's the guy who has no power anymore. I mean,

929
00:48:12,080 --> 00:48:14,960
Speaker 5: does he technically have power, yes, of course, but like

930
00:48:15,040 --> 00:48:18,719
Speaker 5: he doesn't really have people with him anymore. She's the

931
00:48:18,719 --> 00:48:22,319
Speaker 5: one who should theoretically have a ton of power because

932
00:48:22,360 --> 00:48:24,719
Speaker 5: she's representing the base and the grassroots that is now

933
00:48:24,760 --> 00:48:29,360
Speaker 5: firmly ensconced as the like engine of the Democratic Party.

934
00:48:29,560 --> 00:48:31,799
Speaker 5: So it doesn't make any sense to continue to be

935
00:48:31,880 --> 00:48:36,439
Speaker 5: deferential to the like leadership because they you can give

936
00:48:36,960 --> 00:48:38,759
Speaker 5: to them more than they can give to you.

937
00:48:38,840 --> 00:48:41,960
Speaker 2: At this point, you know, the strategy maybe makes more

938
00:48:42,000 --> 00:48:45,040
Speaker 2: sense if she's planning to run for Senate instead of

939
00:48:45,239 --> 00:48:49,799
Speaker 2: for president. You know, maybe there's a theoretical like, Okay,

940
00:48:49,920 --> 00:48:52,200
Speaker 2: Kim Jeffries is powerful new York tech Schumer is powerful

941
00:48:52,239 --> 00:48:53,799
Speaker 2: in New York. Maybe if I don't rock the boat

942
00:48:53,920 --> 00:48:57,000
Speaker 2: with these people, maybe it'll be go easier for me

943
00:48:57,080 --> 00:48:58,240
Speaker 2: in a Senate primary.

944
00:48:58,400 --> 00:48:59,319
Speaker 3: I think down the road.

945
00:49:00,360 --> 00:49:04,000
Speaker 2: So I think the strategy is somewhat more logical if

946
00:49:04,080 --> 00:49:06,400
Speaker 2: you're going in that direction now in terms of what

947
00:49:08,040 --> 00:49:10,560
Speaker 2: would be best for the movement. There's still I think

948
00:49:10,600 --> 00:49:14,960
Speaker 2: a major flaw in the approach here where you know,

949
00:49:15,040 --> 00:49:18,120
Speaker 2: the left has the wind at their backs right now,

950
00:49:19,320 --> 00:49:21,520
Speaker 2: it's in a way that has never been the case,

951
00:49:21,560 --> 00:49:24,480
Speaker 2: even in a peak Bernie moment. You know, the democratic

952
00:49:24,520 --> 00:49:28,200
Speaker 2: base agrees with the left. The neoliberal establishment has been

953
00:49:28,239 --> 00:49:31,239
Speaker 2: destroyed in terms of their credibility, and so now's the

954
00:49:31,280 --> 00:49:33,840
Speaker 2: moment when you take those risks and use the political

955
00:49:33,880 --> 00:49:37,520
Speaker 2: capital and the prestiges you have with the liberal and

956
00:49:37,560 --> 00:49:40,839
Speaker 2: progressive base to try to expand that coalition and move

957
00:49:40,840 --> 00:49:44,000
Speaker 2: the movement forward. And I think she's you know, I

958
00:49:44,000 --> 00:49:46,400
Speaker 2: think she's missing the bark and being too cautious in

959
00:49:46,719 --> 00:49:50,600
Speaker 2: that regard, Whereas I think Zoron has really successfully combined

960
00:49:50,680 --> 00:49:53,200
Speaker 2: privatism in terms of I need to govern effectively in

961
00:49:53,239 --> 00:49:56,960
Speaker 2: the City of New York with taking some major risks

962
00:49:57,280 --> 00:50:00,960
Speaker 2: that have paid out off and have really been incredible

963
00:50:01,000 --> 00:50:03,600
Speaker 2: for helping to build the movement, including his own campaign.

964
00:50:03,640 --> 00:50:05,000
Speaker 2: By the way, I mean, let's not forget he start

965
00:50:05,040 --> 00:50:08,960
Speaker 2: at one percent. It's an incredible long shot, and nothing

966
00:50:09,040 --> 00:50:12,160
Speaker 2: has been more consequential in American politics for the left.

967
00:50:12,239 --> 00:50:12,520
Speaker 7: Nothing.

968
00:50:14,200 --> 00:50:16,160
Speaker 3: Well, Crystal, do we have a second to talk about

969
00:50:16,200 --> 00:50:17,759
Speaker 3: Colorado before we get to our guest.

970
00:50:18,239 --> 00:50:20,840
Speaker 2: We better we better have a second to talk about Colorado,

971
00:50:20,880 --> 00:50:23,960
Speaker 2: because I am okay, I have been following this. You

972
00:50:23,960 --> 00:50:26,880
Speaker 2: know who turned to put me on to this complete

973
00:50:27,280 --> 00:50:30,240
Speaker 2: maniac who is now looks to be the Republican nominee

974
00:50:30,239 --> 00:50:32,839
Speaker 2: for governor of Colorado is actually my eighteen year old daughter,

975
00:50:32,880 --> 00:50:35,240
Speaker 2: who was like, Mom, have you seen this interview?

976
00:50:35,280 --> 00:50:35,959
Speaker 7: This guy is.

977
00:50:35,840 --> 00:50:39,280
Speaker 2: Insane and he is blowing is this interview is blowing

978
00:50:39,360 --> 00:50:42,200
Speaker 2: up on TikTok? So this man what is his name,

979
00:50:42,280 --> 00:50:46,840
Speaker 2: Victor Marx? His dad is actually named Carl Marx. Guys,

980
00:50:46,920 --> 00:50:47,600
Speaker 2: I should you not?

981
00:50:47,680 --> 00:50:48,560
Speaker 7: This is how insane?

982
00:50:49,160 --> 00:50:51,919
Speaker 2: Wait I think so. I saw that on Twitter. Double

983
00:50:52,000 --> 00:50:53,839
Speaker 2: check me, and maybe that's bullshit, but that is what

984
00:50:53,920 --> 00:50:57,200
Speaker 2: I saw on Twitter. In any case, he runs one

985
00:50:57,200 --> 00:50:59,880
Speaker 2: of these like, oh, we help women and girls that

986
00:51:00,120 --> 00:51:04,240
Speaker 2: been trafficked. But in an interview with a local news reporter,

987
00:51:04,640 --> 00:51:08,080
Speaker 2: he got completely called out. He refused to back up

988
00:51:08,120 --> 00:51:11,640
Speaker 2: the statistics that he'd put out there previously. Just you know,

989
00:51:11,760 --> 00:51:14,880
Speaker 2: the details around the reality of what is happening in

990
00:51:14,880 --> 00:51:18,080
Speaker 2: this organization are in doubt to say the least. But

991
00:51:18,200 --> 00:51:21,000
Speaker 2: the other thing that's insane and we'll play this clip

992
00:51:21,000 --> 00:51:24,799
Speaker 2: for you. He claims that his dad made him kill

993
00:51:24,840 --> 00:51:28,160
Speaker 2: a man when he was seven, and then when he

994
00:51:28,200 --> 00:51:32,200
Speaker 2: got asked whether he's killed other people, he refused to

995
00:51:32,239 --> 00:51:35,600
Speaker 2: say okay and was like, I don't see why that's important.

996
00:51:36,160 --> 00:51:41,319
Speaker 2: He's also claimed to lead these like strikes on terrorists,

997
00:51:41,680 --> 00:51:44,600
Speaker 2: but he was never in the military, so he's claiming

998
00:51:44,680 --> 00:51:49,240
Speaker 2: as a civilian he like directed these military operations against

999
00:51:49,400 --> 00:51:52,320
Speaker 2: terrorists and various locations around the planet. Also want specified

1000
00:51:52,360 --> 00:51:54,359
Speaker 2: the details of that, So Griffin, can we go ahead

1001
00:51:54,400 --> 00:51:56,880
Speaker 2: and play this clip because I just need everybody to

1002
00:51:56,920 --> 00:51:59,399
Speaker 2: know the type of people that are getting nominated around

1003
00:51:59,440 --> 00:52:01,320
Speaker 2: the country on the Republican side.

1004
00:52:01,920 --> 00:52:04,680
Speaker 3: This this clip feels straight out of the Jinks with

1005
00:52:04,840 --> 00:52:07,160
Speaker 3: Robert Durst, The Greatest.

1006
00:52:06,800 --> 00:52:07,600
Speaker 6: Documentary of all.

1007
00:52:08,760 --> 00:52:11,359
Speaker 11: Your claim that your abusive stepfather forced you to kill

1008
00:52:11,400 --> 00:52:12,680
Speaker 11: a man when you were seven years.

1009
00:52:12,520 --> 00:52:14,000
Speaker 3: Old is.

1010
00:52:24,560 --> 00:52:36,960
Speaker 12: Well as a as a child, yes, without questions. But

1011
00:52:37,080 --> 00:52:42,240
Speaker 12: I've been in other situations where you know, possibly people

1012
00:52:42,960 --> 00:52:47,560
Speaker 12: are persons died uh as a result of me defending

1013
00:52:47,600 --> 00:52:49,200
Speaker 12: myself and other countries.

1014
00:52:49,440 --> 00:52:51,560
Speaker 11: Do you think that you've killed people as an adult?

1015
00:52:54,320 --> 00:52:55,000
Speaker 12: Does it matter?

1016
00:52:55,800 --> 00:52:57,760
Speaker 6: Yeah?

1017
00:52:58,719 --> 00:52:59,719
Speaker 4: It is a pretty weighty thing.

1018
00:53:01,160 --> 00:53:05,360
Speaker 12: Yeah, if someone's trying to kill you, or you're in combat.

1019
00:53:05,080 --> 00:53:07,920
Speaker 11: It's still a weighty thing to take somebody.

1020
00:53:07,640 --> 00:53:09,799
Speaker 2: Else's again, was not in the military events.

1021
00:53:09,760 --> 00:53:11,359
Speaker 4: You justified, but it's still a weighty thing.

1022
00:53:11,400 --> 00:53:13,640
Speaker 11: So I'm just asking how many people if you killed?

1023
00:53:15,160 --> 00:53:19,200
Speaker 12: Well, if I did, I wouldn't be telling a reporter

1024
00:53:20,680 --> 00:53:24,320
Speaker 12: sitting here my training center. How about voters? Would you

1025
00:53:24,360 --> 00:53:29,160
Speaker 12: tell voters there's no need. I don't think that's important.

1026
00:53:29,360 --> 00:53:34,239
Speaker 12: It's actually kind of it's an odd question to me.

1027
00:53:34,200 --> 00:53:36,320
Speaker 11: Because you actually talk about the idea of killing people

1028
00:53:36,400 --> 00:53:40,399
Speaker 11: with some frequency and why it's a necessary thing to do.

1029
00:53:40,560 --> 00:53:44,759
Speaker 11: Killing people, you said on NERATV in twenty seventeen. Now

1030
00:53:44,760 --> 00:53:45,520
Speaker 11: a lot of them just.

1031
00:53:45,440 --> 00:53:46,040
Speaker 4: Got to be killed.

1032
00:53:46,080 --> 00:53:47,160
Speaker 11: I've had them shoot at me and I had to

1033
00:53:47,160 --> 00:53:49,360
Speaker 11: shoot back. There's a time and place to eliminate the enemy,

1034
00:53:49,520 --> 00:53:52,760
Speaker 11: and you have to, you said on Jeff Lerner's podcast

1035
00:53:52,800 --> 00:53:55,480
Speaker 11: in twenty twenty five. Some people have to get killed,

1036
00:53:55,480 --> 00:53:57,000
Speaker 11: some people have to die.

1037
00:53:57,880 --> 00:53:59,399
Speaker 4: But it's an odd question to ask you how many

1038
00:53:59,400 --> 00:54:00,000
Speaker 4: people you've killed?

1039
00:54:00,840 --> 00:54:05,200
Speaker 3: Yes, all right, So okay, so I was just going

1040
00:54:05,280 --> 00:54:05,880
Speaker 3: to say so.

1041
00:54:05,920 --> 00:54:10,799
Speaker 5: The Washington Examiner and the Army Website report that he

1042
00:54:10,880 --> 00:54:13,200
Speaker 5: is he was a marine, So I don't know if

1043
00:54:13,200 --> 00:54:14,839
Speaker 5: that I don't know.

1044
00:54:17,760 --> 00:54:21,040
Speaker 2: Yeah, so anyway, either way, it doesn't really check out.

1045
00:54:22,239 --> 00:54:23,000
Speaker 2: Yeah it doesn't.

1046
00:54:23,120 --> 00:54:25,400
Speaker 4: I was ready. I was when I first saw that,

1047
00:54:25,440 --> 00:54:29,440
Speaker 4: I was ready to defend him, because if you're in combat,

1048
00:54:29,719 --> 00:54:31,319
Speaker 4: I think what he was trying to say at one point,

1049
00:54:31,320 --> 00:54:33,920
Speaker 4: if you're in combat and you're shooting off into the distance,

1050
00:54:34,239 --> 00:54:37,959
Speaker 4: maybe you don't necessarily know if you're not sure killed

1051
00:54:38,000 --> 00:54:40,920
Speaker 4: somebody or not. But then when it gets when he

1052
00:54:41,120 --> 00:54:44,879
Speaker 4: brings up the fact that you yourself have bragged about

1053
00:54:44,960 --> 00:54:47,359
Speaker 4: killing people and talked about the importance of killing people

1054
00:54:47,360 --> 00:54:49,120
Speaker 4: and how much it matters to kill people that are

1055
00:54:49,120 --> 00:54:51,080
Speaker 4: trying to kill you. Like, if you're the one that

1056
00:54:51,200 --> 00:54:55,080
Speaker 4: introduced it into the conversation, then it's a completely fair question,

1057
00:54:55,680 --> 00:54:56,000
Speaker 4: all right.

1058
00:54:56,040 --> 00:54:58,960
Speaker 2: So here's what it looks like. It says he served

1059
00:54:59,400 --> 00:55:02,440
Speaker 2: in from eighty three to eighty six under a different

1060
00:55:02,600 --> 00:55:09,080
Speaker 2: name vond incredible, incredible, never bri zone or saw combat.

1061
00:55:09,320 --> 00:55:12,400
Speaker 3: Oh my god, so are these parking lot fights like

1062
00:55:12,480 --> 00:55:13,440
Speaker 3: what's where.

1063
00:55:13,239 --> 00:55:14,719
Speaker 4: Where we already have killed people?

1064
00:55:14,800 --> 00:55:18,799
Speaker 2: Grenada Like it's never deployed to a war zone, never

1065
00:55:18,800 --> 00:55:22,760
Speaker 2: saw combat, sothough And also, okay, if.

1066
00:55:22,640 --> 00:55:26,839
Speaker 5: You can't well and we're assuming that this name thing

1067
00:55:26,960 --> 00:55:29,799
Speaker 5: is correct, because that's what's like confusing about all of

1068
00:55:29,840 --> 00:55:33,520
Speaker 5: the like we've seen people embellish and have totally incorrect

1069
00:55:33,560 --> 00:55:35,720
Speaker 5: information about whether or not they served in the military before.

1070
00:55:35,800 --> 00:55:38,360
Speaker 6: So that's it's it's enormously bizarre.

1071
00:55:38,920 --> 00:55:40,840
Speaker 3: And he's winning. He's winning.

1072
00:55:41,160 --> 00:55:45,439
Speaker 2: He's winning the Republican nomination. He will almost certainly lose

1073
00:55:45,520 --> 00:55:51,200
Speaker 2: to the Democratic nominee. But Colorado on your Republican nominee

1074
00:55:51,200 --> 00:55:52,960
Speaker 2: for governor Colorado?

1075
00:55:53,120 --> 00:55:58,080
Speaker 4: Yeah, Colorado elected Republicans.

1076
00:55:56,440 --> 00:55:57,040
Speaker 2: Not long ago.

1077
00:55:57,320 --> 00:56:00,600
Speaker 7: Yeah.

1078
00:56:00,640 --> 00:56:04,120
Speaker 3: Wow, Well, everyone keep a far breadth away from the

1079
00:56:04,160 --> 00:56:11,040
Speaker 3: Colorado Republican primaries and filling going on there. And DSA shout.

1080
00:56:10,440 --> 00:56:13,399
Speaker 2: Out to shoutout to Kyle Clark, who did a great

1081
00:56:13,480 --> 00:56:15,440
Speaker 2: job in that interview. Everyone should go watch the whole

1082
00:56:15,480 --> 00:56:17,640
Speaker 2: thing because there were many more moments like that that we're.

1083
00:56:17,560 --> 00:56:19,719
Speaker 5: Just like killing someone as a weighty thing.

1084
00:56:20,160 --> 00:56:23,880
Speaker 6: In the words Kyle's non.

1085
00:56:23,800 --> 00:56:26,840
Speaker 2: Question, Well, you've made some odd claims, so we're going

1086
00:56:26,920 --> 00:56:28,160
Speaker 2: to have to ask some odd questions.

1087
00:56:29,120 --> 00:56:34,160
Speaker 3: All right, let's talk about journalism or protecting journalists. We

1088
00:56:34,200 --> 00:56:40,680
Speaker 3: have a guest here, Ryan, Let's bring them on in. Ryan,

1089
00:56:40,680 --> 00:56:41,640
Speaker 3: who do we have today?

1090
00:56:42,200 --> 00:56:45,080
Speaker 4: We've got Nica soon Chong, publisher of Drop Side News. Nika,

1091
00:56:45,120 --> 00:56:46,799
Speaker 4: how you doing not so bad?

1092
00:56:46,960 --> 00:56:49,560
Speaker 7: How are you well? Thanks for having me, Thanks for

1093
00:56:49,640 --> 00:56:50,040
Speaker 7: joining us.

1094
00:56:50,040 --> 00:56:54,880
Speaker 4: We appreciate it, of course. So you found yourself in

1095
00:56:54,880 --> 00:56:58,280
Speaker 4: the middle of a controversy this past couple of weeks

1096
00:56:59,640 --> 00:57:01,319
Speaker 4: just to get just to give it a little bit

1097
00:57:01,320 --> 00:57:03,000
Speaker 4: of the background. But I want to want you to

1098
00:57:03,080 --> 00:57:04,520
Speaker 4: kind of tell us everything I happened. So you were

1099
00:57:05,040 --> 00:57:08,080
Speaker 4: were up until recently a member of the board of

1100
00:57:08,080 --> 00:57:14,400
Speaker 4: the Committee to Protect Journalists, which, like other similar committees,

1101
00:57:14,600 --> 00:57:18,000
Speaker 4: keeps a list of the number of journalists around the

1102
00:57:18,000 --> 00:57:22,920
Speaker 4: world who have been killed while performing their journalistic duties.

1103
00:57:23,800 --> 00:57:28,120
Speaker 4: That list has become a massive political liability for the

1104
00:57:28,160 --> 00:57:32,000
Speaker 4: state of Israel, which has killed more journalists maybe than

1105
00:57:32,040 --> 00:57:36,120
Speaker 4: any other country in modern history or I guess history

1106
00:57:36,160 --> 00:57:40,600
Speaker 4: period in such a short amount of time. And so

1107
00:57:40,680 --> 00:57:45,080
Speaker 4: there's been this then rearguard action by defenders of Israel

1108
00:57:45,520 --> 00:57:49,439
Speaker 4: to try to either one by one eliminate people who

1109
00:57:49,480 --> 00:57:52,600
Speaker 4: are or who were added to that list, but then

1110
00:57:52,920 --> 00:57:56,560
Speaker 4: more importantly, to kind of change the definition of who

1111
00:57:56,600 --> 00:58:00,440
Speaker 4: becomes a journalist. So can you talk tell us like

1112
00:58:00,480 --> 00:58:03,600
Speaker 4: a little bit about how, like how it came to

1113
00:58:03,680 --> 00:58:07,440
Speaker 4: pass that all of a sudden, CPGA was going to

1114
00:58:07,520 --> 00:58:11,240
Speaker 4: review its definition of who counts as a journalist, and

1115
00:58:11,280 --> 00:58:15,919
Speaker 4: what was the change that some advocates were looking for.

1116
00:58:16,880 --> 00:58:19,000
Speaker 7: Yeah, well, I'll say it's not CpG.

1117
00:58:19,160 --> 00:58:23,080
Speaker 9: It's specifically the CPJ Board, which has the independent authority

1118
00:58:23,200 --> 00:58:26,920
Speaker 9: to change the definition for the organization. Right, And it

1119
00:58:27,000 --> 00:58:29,640
Speaker 9: wasn't even an agenda item for the board to discuss.

1120
00:58:29,680 --> 00:58:34,120
Speaker 9: It actually came from a discussion that was planned of

1121
00:58:34,160 --> 00:58:38,520
Speaker 9: an article that was titled CPJ board stacked with figures

1122
00:58:38,560 --> 00:58:41,800
Speaker 9: who accuse Israel of genocide and apartheid and then had

1123
00:58:43,240 --> 00:58:47,600
Speaker 9: free beacon. Yeah exactly, And the article had several obvious

1124
00:58:47,760 --> 00:58:51,480
Speaker 9: factual errors, et cetera. But first of all, Israel is

1125
00:58:51,520 --> 00:58:54,280
Speaker 9: an apartheid state and it is committing genocide and we

1126
00:58:54,320 --> 00:58:55,600
Speaker 9: should be able to say that.

1127
00:58:56,160 --> 00:58:57,560
Speaker 7: And second of all, we were.

1128
00:58:57,400 --> 00:59:01,680
Speaker 9: Supposed to discuss a response again against the piece which

1129
00:59:02,120 --> 00:59:06,200
Speaker 9: cites accusations from honest reporting that drop site does quote

1130
00:59:06,240 --> 00:59:12,160
Speaker 9: unquote terrorist pr Instead, the outcome was, well, maybe the

1131
00:59:12,200 --> 00:59:14,440
Speaker 9: piece is wrong, but maybe it has a point. Maybe

1132
00:59:14,480 --> 00:59:19,480
Speaker 9: actually some of the journalists in Gaza are legitimate combatants

1133
00:59:19,520 --> 00:59:22,720
Speaker 9: and for that reason we should really reevaluate whether or

1134
00:59:22,800 --> 00:59:26,920
Speaker 9: not they qualifies as a journalist. And so from there

1135
00:59:27,360 --> 00:59:31,280
Speaker 9: the discussion was long, and the next thing I knew

1136
00:59:31,360 --> 00:59:35,840
Speaker 9: there was a task force established to evaluate whether or

1137
00:59:35,880 --> 00:59:39,280
Speaker 9: not CPJ's definition should break from international.

1138
00:59:38,800 --> 00:59:40,480
Speaker 7: Law and count.

1139
00:59:40,720 --> 00:59:42,680
Speaker 4: But not by a vote or anything of the board,

1140
00:59:42,800 --> 00:59:45,280
Speaker 4: just a all of a sudden, somebody on the board,

1141
00:59:45,280 --> 00:59:46,840
Speaker 4: it's just we're going to do a task force and

1142
00:59:46,880 --> 00:59:48,439
Speaker 4: we're going to look at this, right.

1143
00:59:48,960 --> 00:59:51,480
Speaker 9: And then a couple of weeks later, the task force

1144
00:59:52,400 --> 00:59:55,880
Speaker 9: had been selected, had been selected, with members including members

1145
00:59:55,920 --> 01:00:00,480
Speaker 9: who advocated for the questioning of the inclusion of journalists

1146
01:00:00,480 --> 01:00:04,600
Speaker 9: who are associated with MS and PIJ. And so from

1147
01:00:04,640 --> 01:00:09,520
Speaker 9: there I sent an email asking very simply for a

1148
01:00:09,600 --> 01:00:11,680
Speaker 9: vote and laying out some of what I thought the

1149
01:00:11,680 --> 01:00:14,919
Speaker 9: moral stakes were of even beginning this process, of even

1150
01:00:14,960 --> 01:00:19,840
Speaker 9: beginning this sort of collective active suspicion to reverify and

1151
01:00:19,880 --> 01:00:22,960
Speaker 9: reevaluate the very terms the organization is built on.

1152
01:00:23,000 --> 01:00:25,080
Speaker 7: It's like the J and CPJ's journalists.

1153
01:00:25,120 --> 01:00:28,760
Speaker 9: If we really don't know what that is, then the

1154
01:00:28,800 --> 01:00:31,360
Speaker 9: whole organization should shut down until it's figured out.

1155
01:00:31,720 --> 01:00:36,160
Speaker 7: And so it's quite consequential, and what's the current go ahead?

1156
01:00:36,720 --> 01:00:38,160
Speaker 2: I was going to ask the same question, what is

1157
01:00:38,200 --> 01:00:42,200
Speaker 2: the current definition of journalists that is held by the CPJ,

1158
01:00:42,640 --> 01:00:44,480
Speaker 2: How was that determined and how was it going to

1159
01:00:44,480 --> 01:00:45,000
Speaker 2: be changed?

1160
01:00:45,520 --> 01:00:48,880
Speaker 9: Yeah, so journalists are people who regularly cover news, to

1161
01:00:48,920 --> 01:00:53,520
Speaker 9: report or share fact based information. That includes journalists that

1162
01:00:53,560 --> 01:00:57,720
Speaker 9: state back to publications. It includes freelancers. It includes journalists

1163
01:00:57,800 --> 01:01:02,480
Speaker 9: at publications run by identified terrorist groups by certain countries.

1164
01:01:03,320 --> 01:01:07,960
Speaker 9: Now journalists are excluded from inclusion from the Impunity Index

1165
01:01:08,000 --> 01:01:11,080
Speaker 9: from the database if there's evidence that they were directly

1166
01:01:11,120 --> 01:01:14,640
Speaker 9: participating in combat in armed conflict at the time of

1167
01:01:14,680 --> 01:01:15,120
Speaker 9: their death.

1168
01:01:16,880 --> 01:01:20,000
Speaker 7: And so really, now the new.

1169
01:01:19,840 --> 01:01:24,760
Speaker 9: Element being introduced is, well, should civilian journalists affiliated with

1170
01:01:25,000 --> 01:01:30,360
Speaker 9: non military wings of identified terrorist groups be excluded categorically

1171
01:01:31,480 --> 01:01:33,240
Speaker 9: from being counted as a journalist?

1172
01:01:33,360 --> 01:01:35,400
Speaker 4: And the counter so that then I saw I saw

1173
01:01:35,440 --> 01:01:38,280
Speaker 4: the email that you sent. You pointed out because people

1174
01:01:38,320 --> 01:01:42,960
Speaker 4: have a very hard time humanizing Palestinians. So you said, okay,

1175
01:01:43,000 --> 01:01:46,880
Speaker 4: the ANC, you know, Nelson Mandela's organization was listed as

1176
01:01:46,920 --> 01:01:53,400
Speaker 4: a terrorist organization up until like relatively recently, and they

1177
01:01:53,440 --> 01:01:55,320
Speaker 4: had a media they had a media wing, They had

1178
01:01:55,320 --> 01:01:59,480
Speaker 4: reporters that would write for publications that were kind of

1179
01:01:59,480 --> 01:02:04,160
Speaker 4: affiliated with the ANC. Most most political groups around the

1180
01:02:04,160 --> 01:02:09,000
Speaker 4: world have like a separate media wing. Most states have

1181
01:02:09,120 --> 01:02:13,560
Speaker 4: it too. Russia has RT, Turkey has multiple state backed ones,

1182
01:02:13,600 --> 01:02:16,720
Speaker 4: the US has NPR and PBS, you know, Britain has

1183
01:02:18,200 --> 01:02:20,560
Speaker 4: you know, the BBC like and so the idea was,

1184
01:02:20,680 --> 01:02:24,520
Speaker 4: if if you're doing journalism for any one of these affiliates,

1185
01:02:25,040 --> 01:02:28,520
Speaker 4: does not matter what the politics are of the organization

1186
01:02:28,600 --> 01:02:31,360
Speaker 4: you're affiliated with, Like you can't kill an RT journalist

1187
01:02:32,240 --> 01:02:35,880
Speaker 4: because you think that Putin is a terrorist, you can't

1188
01:02:35,920 --> 01:02:38,360
Speaker 4: kill an a n C linked journalist because you think

1189
01:02:38,360 --> 01:02:41,800
Speaker 4: that the anc IS journalists. You can't kill Hamas linked

1190
01:02:41,840 --> 01:02:44,120
Speaker 4: because they've got their own news organizations. You can't kill

1191
01:02:44,160 --> 01:02:48,920
Speaker 4: them if they're freelancing for this outlet. So that was

1192
01:02:48,920 --> 01:02:52,440
Speaker 4: the counter argument, Like what was there? How do they

1193
01:02:53,200 --> 01:02:56,320
Speaker 4: Everyone agrees with that in the world of journalism, So

1194
01:02:56,360 --> 01:03:00,320
Speaker 4: how are how are they going to single out kind

1195
01:03:00,320 --> 01:03:03,320
Speaker 4: of Palestinian journalists working for these organizations without also then

1196
01:03:03,400 --> 01:03:07,280
Speaker 4: saying if you work for Israeli Army radio or an

1197
01:03:07,320 --> 01:03:11,560
Speaker 4: Israeli you know, public news organization or the BBC, Like,

1198
01:03:11,800 --> 01:03:13,640
Speaker 4: how are they because they wouldn't want to say a

1199
01:03:13,640 --> 01:03:17,160
Speaker 4: BBC journalist is fair game, even though the UK is

1200
01:03:17,240 --> 01:03:20,600
Speaker 4: complicit in a genocide, So what was there What was

1201
01:03:20,640 --> 01:03:24,959
Speaker 4: their attempt to kind of write a definition that would say,

1202
01:03:25,520 --> 01:03:28,320
Speaker 4: these journalists are terrorists and you can kill them, but

1203
01:03:28,360 --> 01:03:30,120
Speaker 4: these journalists are not and you can't.

1204
01:03:31,320 --> 01:03:33,959
Speaker 9: I mean, I think in many ways it's driven by

1205
01:03:34,320 --> 01:03:40,720
Speaker 9: the discomfort with the international laws acceptance of Palestinian's right

1206
01:03:40,760 --> 01:03:44,040
Speaker 9: to armed resistance to a military occupation. And you mentioned

1207
01:03:44,040 --> 01:03:47,520
Speaker 9: the ANC. It's not just that ANC had a newspaper

1208
01:03:47,520 --> 01:03:49,400
Speaker 9: and an outlet, it also had an armed wing of

1209
01:03:49,480 --> 01:03:52,280
Speaker 9: contud toce SI's Weight that Mendela was a founding leader

1210
01:03:52,320 --> 01:03:55,959
Speaker 9: of and Mandela himself was on the US terror watch list.

1211
01:03:56,000 --> 01:04:01,280
Speaker 7: And so really it's it's the the acusations.

1212
01:04:00,640 --> 01:04:06,320
Speaker 9: Of violence on behalf of quote unquote terrorist organizations that

1213
01:04:06,560 --> 01:04:09,280
Speaker 9: is really driving this special rule. But the logic doesn't

1214
01:04:09,320 --> 01:04:11,840
Speaker 9: hold up if you push it just an inch forwards,

1215
01:04:11,840 --> 01:04:14,520
Speaker 9: which is really why I thought the process was.

1216
01:04:15,960 --> 01:04:17,160
Speaker 7: In bad faith to begin with.

1217
01:04:17,400 --> 01:04:19,320
Speaker 5: Well, that was going to be my question is what

1218
01:04:19,400 --> 01:04:23,160
Speaker 5: evidence do they have that any of these journalists may

1219
01:04:23,200 --> 01:04:26,560
Speaker 5: have been acting, as you laid out NICA in violent

1220
01:04:26,600 --> 01:04:28,120
Speaker 5: capacities at the time of their guests.

1221
01:04:28,160 --> 01:04:29,640
Speaker 6: Does that evidence exist?

1222
01:04:29,840 --> 01:04:32,120
Speaker 5: Is that would that put a serious dint in the

1223
01:04:32,200 --> 01:04:33,360
Speaker 5: numbers if it were there.

1224
01:04:34,800 --> 01:04:38,120
Speaker 9: So that is the current definition now if their journalist

1225
01:04:38,400 --> 01:04:41,360
Speaker 9: is acting in combat the time of their death and

1226
01:04:41,360 --> 01:04:44,360
Speaker 9: there to be excluded. I know there are instances, and

1227
01:04:44,640 --> 01:04:47,680
Speaker 9: again I haven't reviewed this myself, and I actually can't

1228
01:04:47,720 --> 01:04:50,560
Speaker 9: speak to any of the data or the cases. But

1229
01:04:50,640 --> 01:04:54,520
Speaker 9: there have been instances, for example, where there have been

1230
01:04:54,520 --> 01:04:58,640
Speaker 9: habituaries published by hamas that have identified a journalist in

1231
01:04:58,680 --> 01:05:02,760
Speaker 9: a particular way cause for a review of how they

1232
01:05:02,760 --> 01:05:06,200
Speaker 9: were included in the database. And I think those rules

1233
01:05:06,280 --> 01:05:10,120
Speaker 9: are legitimate, and that is a legitimate reason to review

1234
01:05:10,120 --> 01:05:15,560
Speaker 9: that case. And it's unfortunate that a politically motivated board

1235
01:05:15,680 --> 01:05:20,280
Speaker 9: led effort is being conflated with the review of the database,

1236
01:05:20,400 --> 01:05:26,320
Speaker 9: which is conducted by CpG staff CpG staff that operate independently.

1237
01:05:27,600 --> 01:05:31,000
Speaker 2: And So, Nica, what events led to you being off

1238
01:05:31,000 --> 01:05:32,520
Speaker 2: the board? How did that transpire?

1239
01:05:33,160 --> 01:05:36,440
Speaker 9: Yeah, I mean I sent an email. The email that

1240
01:05:36,480 --> 01:05:40,720
Speaker 9: I shared, there was one response from a board member

1241
01:05:40,840 --> 01:05:44,720
Speaker 9: saying that they agree in terms of procedure, a board

1242
01:05:44,760 --> 01:05:48,600
Speaker 9: vote should happen. There's another response from the person who

1243
01:05:48,920 --> 01:05:52,960
Speaker 9: asked for this process to begin with, simply saying I

1244
01:05:53,000 --> 01:05:55,160
Speaker 9: don't think Nico wants a debate and I desist from

1245
01:05:55,240 --> 01:05:59,160
Speaker 9: responding the board. Shair didn't respond, and the next morning,

1246
01:05:59,160 --> 01:06:01,560
Speaker 9: in fact, told me that my term limit was up,

1247
01:06:02,680 --> 01:06:04,800
Speaker 9: and then I was no longer a board member and

1248
01:06:05,200 --> 01:06:05,600
Speaker 9: that was it.

1249
01:06:05,640 --> 01:06:06,760
Speaker 7: That was the only communication.

1250
01:06:08,440 --> 01:06:10,200
Speaker 4: But then they did have a vote, right, they did

1251
01:06:10,280 --> 01:06:10,880
Speaker 4: have a vote.

1252
01:06:11,080 --> 01:06:13,959
Speaker 7: They did have the vote.

1253
01:06:14,000 --> 01:06:17,840
Speaker 9: The vote cost so the definition and thinking the toss

1254
01:06:17,880 --> 01:06:19,600
Speaker 9: wares isn't happening anymore.

1255
01:06:21,200 --> 01:06:23,080
Speaker 3: U Nika. I have a question because I see a

1256
01:06:23,080 --> 01:06:27,400
Speaker 3: lot of the pro Israel design is crowd trying to

1257
01:06:27,480 --> 01:06:31,120
Speaker 3: label some of these journalists as combatants. Now. They use

1258
01:06:31,200 --> 01:06:35,800
Speaker 3: pictures of press sitting on top of tanks and things

1259
01:06:35,840 --> 01:06:38,520
Speaker 3: like that. As we've seed he's a combatant, So I

1260
01:06:38,760 --> 01:06:42,520
Speaker 3: wanted to know, like how you define combatant versus journalist?

1261
01:06:42,680 --> 01:06:46,080
Speaker 3: And I also did want to share an image of

1262
01:06:46,840 --> 01:06:50,960
Speaker 3: Douglas Murray and Deborah Messing who did right around with

1263
01:06:51,360 --> 01:06:54,760
Speaker 3: some tanks with Israel. And if we're to go by

1264
01:06:54,760 --> 01:06:58,520
Speaker 3: the definition of being near or around tanks, then aren't

1265
01:06:58,560 --> 01:07:02,440
Speaker 3: Douglas Murray and Deborah Messing free game as well?

1266
01:07:02,960 --> 01:07:05,760
Speaker 7: I leave that up to CBJ, but but I really

1267
01:07:05,800 --> 01:07:06,760
Speaker 7: do think the.

1268
01:07:09,280 --> 01:07:13,560
Speaker 9: Process and it's something for which there should be an

1269
01:07:13,600 --> 01:07:17,040
Speaker 9: and actually is an open methodology that's being refined, that's

1270
01:07:17,040 --> 01:07:20,360
Speaker 9: being reviewed to make sure that it captures these really

1271
01:07:20,360 --> 01:07:23,680
Speaker 9: difficult gray areas quite carefully.

1272
01:07:24,040 --> 01:07:24,680
Speaker 7: And it's for that.

1273
01:07:24,680 --> 01:07:29,720
Speaker 9: Reason that defining redefining the very parameters of what is

1274
01:07:29,760 --> 01:07:34,000
Speaker 9: a journalist would undo all of that work and categorically

1275
01:07:35,400 --> 01:07:38,520
Speaker 9: mean that almost all Palestinians on the database would be removed.

1276
01:07:38,880 --> 01:07:41,960
Speaker 9: And so we can talk about these individual cases and

1277
01:07:42,000 --> 01:07:45,520
Speaker 9: the validity of their exclusion, but I think it's more

1278
01:07:45,600 --> 01:07:52,960
Speaker 9: significant to consider the politically motivated entire reimagination of the term.

1279
01:07:53,080 --> 01:07:57,520
Speaker 4: That's a good point. There is really no significant political

1280
01:07:57,560 --> 01:08:01,240
Speaker 4: faction inside of Gaza that has not been designated by

1281
01:08:01,240 --> 01:08:04,760
Speaker 4: either the US or Israel as a terrorist organization. And

1282
01:08:04,800 --> 01:08:10,440
Speaker 4: those are the organizations that have kind of media operations.

1283
01:08:10,960 --> 01:08:13,560
Speaker 4: And so if you're going to freelance, and a lot

1284
01:08:13,600 --> 01:08:16,680
Speaker 4: of them freelance for Western outlets and then also for

1285
01:08:17,320 --> 01:08:19,320
Speaker 4: local outlets, if you're gonna do that, you're gonna have

1286
01:08:19,360 --> 01:08:21,640
Speaker 4: you're it's almost impossible not to work with somebody that

1287
01:08:21,760 --> 01:08:24,920
Speaker 4: Israel considers to be a terrorist. I'm just curious, and

1288
01:08:24,960 --> 01:08:26,479
Speaker 4: maybe you don't know the answer to this. Do you

1289
01:08:26,560 --> 01:08:29,880
Speaker 4: know if CPJ considers stars and Stripes which is the

1290
01:08:29,920 --> 01:08:33,240
Speaker 4: American kind of newspaper. I would assume that those are

1291
01:08:33,600 --> 01:08:36,320
Speaker 4: journalists and not combatants.

1292
01:08:38,080 --> 01:08:39,400
Speaker 7: I'm not sure, but I do know.

1293
01:08:39,280 --> 01:08:43,679
Speaker 9: That's farmed and it was on the board at some station,

1294
01:08:43,760 --> 01:08:45,920
Speaker 9: and that's a state backed outlet.

1295
01:08:46,200 --> 01:08:49,919
Speaker 4: Okay, So Voice of America gets to qualify as journalism,

1296
01:08:49,960 --> 01:08:51,439
Speaker 4: which they should. I don't think you should be able

1297
01:08:51,439 --> 01:08:58,520
Speaker 4: to kill somebody at Voice of America. And also oftentimes

1298
01:08:58,640 --> 01:09:01,920
Speaker 4: these journalists are killed in tents, so and they're killed

1299
01:09:01,920 --> 01:09:05,080
Speaker 4: in tents that are known to be ware. The journalists

1300
01:09:05,080 --> 01:09:11,360
Speaker 4: operate outside of Nazar Hospital and other places. So was

1301
01:09:11,400 --> 01:09:14,200
Speaker 4: your term supposed to be over? What was the what

1302
01:09:14,320 --> 01:09:15,880
Speaker 4: was the what were the actual details of that?

1303
01:09:16,400 --> 01:09:18,519
Speaker 9: Yeah, I mean I was emailed that my three year

1304
01:09:18,600 --> 01:09:20,920
Speaker 9: term was over, and then the board chair said in

1305
01:09:21,000 --> 01:09:23,280
Speaker 9: a media interview that my five year term was over,

1306
01:09:23,800 --> 01:09:26,000
Speaker 9: and I looked and it is a five year term,

1307
01:09:26,120 --> 01:09:29,400
Speaker 9: and it technically is over, but according to the bylaws,

1308
01:09:29,479 --> 01:09:33,880
Speaker 9: I should remain being a board member until a replacement

1309
01:09:33,920 --> 01:09:37,400
Speaker 9: is selected. And I'm not aware of a replacement, so

1310
01:09:37,880 --> 01:09:42,120
Speaker 9: you there's a chance of It's just interesting timing that

1311
01:09:42,680 --> 01:09:44,000
Speaker 9: it was brought to me this way, and it was

1312
01:09:44,000 --> 01:09:47,519
Speaker 9: brought to me in lieu of a response to what

1313
01:09:47,560 --> 01:09:48,440
Speaker 9: I'd written.

1314
01:09:48,680 --> 01:09:52,719
Speaker 4: I think nominare no. I think like who would annoy

1315
01:09:52,760 --> 01:09:59,639
Speaker 4: them more than than stagger? They'd all resign, they'd all quit.

1316
01:10:00,360 --> 01:10:01,200
Speaker 2: I like that idea.

1317
01:10:01,680 --> 01:10:01,920
Speaker 6: Nika.

1318
01:10:01,960 --> 01:10:04,840
Speaker 2: My last question for you is, and again maybe I

1319
01:10:04,880 --> 01:10:06,880
Speaker 2: don't know how much insight you have into this, but

1320
01:10:07,040 --> 01:10:11,640
Speaker 2: I suspect this wasn't a one off pressure campaign from Zionists.

1321
01:10:12,080 --> 01:10:14,960
Speaker 2: Why do you think that, I mean this kind of obvious,

1322
01:10:14,960 --> 01:10:17,920
Speaker 2: but why do you think they're so sensitive to these numbers?

1323
01:10:17,960 --> 01:10:21,040
Speaker 2: To me, that's very telling that they you know, that

1324
01:10:21,080 --> 01:10:24,639
Speaker 2: they care that this looks so incredibly bad for Israel?

1325
01:10:25,040 --> 01:10:29,080
Speaker 2: And how significant has that that pressure campaign and how

1326
01:10:29,120 --> 01:10:30,120
Speaker 2: long has that been going on?

1327
01:10:31,200 --> 01:10:33,559
Speaker 9: I mean, I think we have to ask why is

1328
01:10:33,640 --> 01:10:39,160
Speaker 9: the world's leading press freedom organization at this time reevaluating

1329
01:10:39,320 --> 01:10:43,479
Speaker 9: who is a journalist when the legitimacy of Palestinian journalists

1330
01:10:43,520 --> 01:10:47,120
Speaker 9: is being questioned in mass And why is Honest Reporting

1331
01:10:47,160 --> 01:10:50,360
Speaker 9: being cited? Why does Honest Reporting have offices in Tel Aviv?

1332
01:10:50,840 --> 01:10:54,320
Speaker 9: Why did the IDF tweet that this I told you

1333
01:10:54,360 --> 01:10:57,840
Speaker 9: so when this all went down. I mean, these are

1334
01:10:57,920 --> 01:11:02,799
Speaker 9: really important questions. But I also think that CPJ's board

1335
01:11:03,160 --> 01:11:07,479
Speaker 9: is comprised almost entirely of leaders of mainstream media New

1336
01:11:07,560 --> 01:11:13,080
Speaker 9: York Times, Fox News, NBC. The list goes on, and

1337
01:11:13,160 --> 01:11:17,880
Speaker 9: these are organizations whose complicity in the ongoing genocide is

1338
01:11:17,920 --> 01:11:20,040
Speaker 9: really being highlighted and emphasized.

1339
01:11:22,439 --> 01:11:24,840
Speaker 4: Also the IDF, I wonder if I can find it.

1340
01:11:24,840 --> 01:11:30,920
Speaker 4: The IDF even tweeted at Uniqua Ace a bizarre SpongeBob

1341
01:11:31,000 --> 01:11:37,559
Speaker 4: meme that did happen, like the IDF's official count throwing

1342
01:11:37,560 --> 01:11:40,000
Speaker 4: a SpongeBob mean at you, which I didn't quite even understand.

1343
01:11:40,000 --> 01:11:43,800
Speaker 4: I'm like, maybe the IDF is a lot younger than me.

1344
01:11:44,400 --> 01:11:48,120
Speaker 7: I was like, what idea Canada account are we looking at?

1345
01:11:50,360 --> 01:11:53,880
Speaker 4: We'll add it to the link show. But well, I

1346
01:11:53,920 --> 01:11:55,760
Speaker 4: can't find it right now. But it's like, what on

1347
01:11:55,800 --> 01:11:56,920
Speaker 4: earth is going on here?

1348
01:11:57,080 --> 01:12:00,400
Speaker 5: Well, and I just want actually to get this the

1349
01:12:00,520 --> 01:12:03,560
Speaker 5: question that Crystal asked home this was got heard of

1350
01:12:03,720 --> 01:12:08,800
Speaker 5: theovon and Republican Senator John Kennedy on Theo's podcast this

1351
01:12:08,880 --> 01:12:12,880
Speaker 5: Week and theopressed Republican Senator John Kennedy on death of

1352
01:12:12,960 --> 01:12:15,759
Speaker 5: Journalists and you didn't want to kill the number and.

1353
01:12:15,640 --> 01:12:22,760
Speaker 13: We but but but Hamash would Hamash would hold the

1354
01:12:24,560 --> 01:12:30,400
Speaker 13: Gossians hostage, that it would put them out front.

1355
01:12:30,160 --> 01:12:31,679
Speaker 3: But how do we know that they killed?

1356
01:12:33,720 --> 01:12:36,040
Speaker 4: But they killed two hundred and twenty something journalists that

1357
01:12:36,120 --> 01:12:38,040
Speaker 4: went there to document what was going on.

1358
01:12:38,080 --> 01:12:40,200
Speaker 13: There's no question they would a civilian disk.

1359
01:12:40,320 --> 01:12:42,880
Speaker 4: They wouldn't let journalists in to even document what was happening.

1360
01:12:42,920 --> 01:12:44,280
Speaker 13: They have been civilian dish.

1361
01:12:44,800 --> 01:12:47,200
Speaker 6: But it is primarily the fault and.

1362
01:12:47,240 --> 01:12:49,280
Speaker 5: So what you see with that is just obviously the

1363
01:12:49,280 --> 01:12:52,320
Speaker 5: stakes for Israel right now are very high when you

1364
01:12:52,400 --> 01:12:56,080
Speaker 5: have Theovonne pushing a Republican senator and the senator has

1365
01:12:56,120 --> 01:12:57,120
Speaker 5: no good response to that.

1366
01:12:57,240 --> 01:13:00,320
Speaker 7: Nica, absolutely, I think we're at a critical moment.

1367
01:13:00,400 --> 01:13:02,760
Speaker 9: So I'm grateful for the board's decision, and I think

1368
01:13:02,760 --> 01:13:03,479
Speaker 9: it was the right one.

1369
01:13:04,600 --> 01:13:08,320
Speaker 4: That's indeed. Well, Nika, thanks for taking some time this

1370
01:13:08,360 --> 01:13:09,400
Speaker 4: morning to join us.

1371
01:13:10,280 --> 01:13:11,400
Speaker 7: Thanks, thank you everyone.

1372
01:13:11,920 --> 01:13:13,679
Speaker 4: Yeah, you got it, talk to you later.

1373
01:13:16,800 --> 01:13:22,720
Speaker 3: While we're exploring the vast dangerous world of journalism, there

1374
01:13:22,760 --> 01:13:26,120
Speaker 3: has been a story that Ryan has been looking at

1375
01:13:26,160 --> 01:13:29,280
Speaker 3: with the Intercept and their tip line, which correct me

1376
01:13:29,320 --> 01:13:33,400
Speaker 3: if I'm remember, Ryan was recently hacked for a period

1377
01:13:33,439 --> 01:13:36,240
Speaker 3: of maybe even a couple of months. Now, what does

1378
01:13:36,280 --> 01:13:40,280
Speaker 3: that mean for the Intercept? What does that mean for

1379
01:13:40,320 --> 01:13:43,800
Speaker 3: all of the sources and people that potentially have been

1380
01:13:43,840 --> 01:13:47,240
Speaker 3: submitting to this tip line, and maybe your thoughts on

1381
01:13:47,280 --> 01:13:48,320
Speaker 3: who would have hacked it.

1382
01:13:49,200 --> 01:13:52,680
Speaker 4: Yeah, unfortunately, not that recently as far as we can tell.

1383
01:13:52,720 --> 01:13:55,400
Speaker 4: It's been going on for quite some time. So back

1384
01:13:55,439 --> 01:14:01,720
Speaker 4: up and people can read the details at dropsite. So basically,

1385
01:14:02,240 --> 01:14:05,320
Speaker 4: the Intercept has a as many news organizations do have

1386
01:14:05,400 --> 01:14:10,439
Speaker 4: a has a Signal tip line that people can send

1387
01:14:10,439 --> 01:14:15,880
Speaker 4: in and in tips if you don't check a signal account.

1388
01:14:16,160 --> 01:14:18,040
Speaker 4: So this is something everybody who has Signal should know.

1389
01:14:18,040 --> 01:14:21,439
Speaker 4: If you don't check a signal account for some set

1390
01:14:21,479 --> 01:14:23,760
Speaker 4: of time, it might be a year, We're not exactly sure.

1391
01:14:23,760 --> 01:14:27,120
Speaker 4: We're trying to get this information from Signal, it becomes

1392
01:14:27,280 --> 01:14:31,160
Speaker 4: dormant and then somebody else can claim it. So somebody

1393
01:14:31,200 --> 01:14:35,160
Speaker 4: went in and claimed the intercepts signal account which I

1394
01:14:35,160 --> 01:14:39,760
Speaker 4: think the Intercept dot one, and started messaging and start

1395
01:14:39,840 --> 01:14:42,760
Speaker 4: and also set up a I'll show you this, also

1396
01:14:42,800 --> 01:14:47,559
Speaker 4: set up a Twitter account that was and here here

1397
01:14:47,560 --> 01:14:47,880
Speaker 4: it is.

1398
01:14:48,080 --> 01:14:48,439
Speaker 3: That was.

1399
01:14:49,120 --> 01:14:52,679
Speaker 4: They said they were the Intercept's kind of investigative intake sides.

1400
01:14:52,760 --> 01:14:54,720
Speaker 4: So this this fake account here and then this is

1401
01:14:54,760 --> 01:15:00,000
Speaker 4: me reaching out to them. Would underneath a tweet by

1402
01:15:00,080 --> 01:15:02,960
Speaker 4: the White House or Chuck Schumer or Jim Jordan would say,

1403
01:15:03,120 --> 01:15:05,040
Speaker 4: if you have more information on this, reach out to

1404
01:15:05,080 --> 01:15:08,720
Speaker 4: the Intercept at the intercept dot qu one signal. And

1405
01:15:08,760 --> 01:15:11,559
Speaker 4: then if you went to the Intercept's website, it would

1406
01:15:11,600 --> 01:15:14,080
Speaker 4: say on their how to Leak that that was in

1407
01:15:14,080 --> 01:15:18,960
Speaker 4: fact their signal account. And so this went on for

1408
01:15:19,080 --> 01:15:25,840
Speaker 4: many months until until they recently discovered. Our understanding is

1409
01:15:26,280 --> 01:15:28,360
Speaker 4: you know, we can I think we're going to learn

1410
01:15:28,400 --> 01:15:32,479
Speaker 4: more about how exactly they discovered it. But all of

1411
01:15:32,479 --> 01:15:35,280
Speaker 4: a sudden they're like, oh, we don't. We don't have

1412
01:15:35,360 --> 01:15:38,760
Speaker 4: access to our tip line anymore, which also shows by

1413
01:15:38,760 --> 01:15:42,200
Speaker 4: the way, they would have realized that if they went

1414
01:15:42,280 --> 01:15:45,599
Speaker 4: to check it at any point in the past so years,

1415
01:15:45,680 --> 01:15:48,200
Speaker 4: so you would go in and check it. So they

1416
01:15:48,240 --> 01:15:49,840
Speaker 4: told us in a statement that they don't have any

1417
01:15:49,840 --> 01:15:54,960
Speaker 4: information that any sources have been were compromised. Problem is

1418
01:15:55,120 --> 01:15:58,760
Speaker 4: they wouldn't necessarily know whether or not a source was

1419
01:15:58,760 --> 01:16:03,679
Speaker 4: compromised because the source is going directly to this third party,

1420
01:16:03,720 --> 01:16:06,640
Speaker 4: which is then going kind of back and forth with

1421
01:16:06,680 --> 01:16:12,400
Speaker 4: them and maybe soliciting information, soliciting their identity.

1422
01:16:14,080 --> 01:16:14,559
Speaker 3: At first.

1423
01:16:14,840 --> 01:16:18,439
Speaker 4: So when they finally learned and let me put this.

1424
01:16:18,600 --> 01:16:20,840
Speaker 4: When they finally learned what had happened, I'll put this

1425
01:16:20,880 --> 01:16:28,600
Speaker 4: back up. They put a rather innocuous sounding whereas it

1426
01:16:28,640 --> 01:16:32,519
Speaker 4: a rather innocuous sounding update on their Twitter account. Oh

1427
01:16:32,520 --> 01:16:36,800
Speaker 4: this is yesterday they had a virtual training session on

1428
01:16:36,840 --> 01:16:40,320
Speaker 4: protecting your personal data. Not so sure about it.

1429
01:16:40,439 --> 01:16:41,840
Speaker 2: I might skip that one.

1430
01:16:42,760 --> 01:16:46,360
Speaker 4: So they said this basically, and they put this out

1431
01:16:46,400 --> 01:16:49,760
Speaker 4: on Twitter as well. They said, in keeping with security

1432
01:16:49,800 --> 01:16:53,400
Speaker 4: best practices, we have updated our signal tip line. If

1433
01:16:53,439 --> 01:16:55,679
Speaker 4: you want to contact the Intercept, please get in touch

1434
01:16:55,680 --> 01:16:59,080
Speaker 4: with our reporters individually or use the signal account the

1435
01:16:59,160 --> 01:17:03,760
Speaker 4: Intercept Underscore tips dot one. Please do not use the

1436
01:17:03,840 --> 01:17:09,760
Speaker 4: username Theintercept dot one. And then then they say the

1437
01:17:09,840 --> 01:17:13,080
Speaker 4: username the Intercept Underscore Tips dot O one is up

1438
01:17:13,080 --> 01:17:15,400
Speaker 4: to date as of June thirtieth and is the only

1439
01:17:15,439 --> 01:17:19,080
Speaker 4: place to reach the Intercepts institutional signal account.

1440
01:17:19,439 --> 01:17:21,439
Speaker 3: They got to change the handle a little bit more

1441
01:17:21,479 --> 01:17:26,240
Speaker 3: than that, right, that's like a typo like it's too close.

1442
01:17:26,479 --> 01:17:28,240
Speaker 3: Got to do something else now, Yeah.

1443
01:17:28,040 --> 01:17:32,000
Speaker 4: And the Intercept dot O one is still engaging with

1444
01:17:32,040 --> 01:17:34,479
Speaker 4: people with the Intercept's logo on it. Hal All Flow

1445
01:17:35,400 --> 01:17:39,479
Speaker 4: reached out to them and is in communication with them today.

1446
01:17:39,520 --> 01:17:42,720
Speaker 4: He was just texting me that, like they're they're still in,

1447
01:17:43,040 --> 01:17:45,080
Speaker 4: they're still using and they said and they're saying, yes,

1448
01:17:45,120 --> 01:17:48,799
Speaker 4: this is the intercept, please please send your secure information here.

1449
01:17:48,680 --> 01:17:52,000
Speaker 4: We guarantee you anonymity. So to me, the Intercept really

1450
01:17:52,360 --> 01:17:55,679
Speaker 4: this that this is not enough to say, in keeping

1451
01:17:55,720 --> 01:17:58,960
Speaker 4: with security best practices, we've updated our tip line is

1452
01:17:58,960 --> 01:18:04,320
Speaker 4: not enough. What they need to do is to publicly say,

1453
01:18:04,439 --> 01:18:08,439
Speaker 4: if you have communicated with the Intercept's signal tip line

1454
01:18:08,520 --> 01:18:11,200
Speaker 4: in the past x months and they need to figure

1455
01:18:11,200 --> 01:18:13,920
Speaker 4: out when the last time they checked it was, then

1456
01:18:14,280 --> 01:18:17,240
Speaker 4: just be aware that you may know you were communicating

1457
01:18:17,240 --> 01:18:20,840
Speaker 4: with somebody other than the Intercept. Like that needs to

1458
01:18:20,880 --> 01:18:22,160
Speaker 4: be what they say.

1459
01:18:22,000 --> 01:18:27,800
Speaker 2: Publicly humiliating for a news organization because that the reason

1460
01:18:27,800 --> 01:18:29,719
Speaker 2: they don't want to say that is because that requires

1461
01:18:29,800 --> 01:18:33,280
Speaker 2: fussing up to like, yeah, we just don't really check

1462
01:18:33,320 --> 01:18:37,240
Speaker 2: the tip line. That sort of news gatherings just not

1463
01:18:37,360 --> 01:18:42,200
Speaker 2: really priority for us, apparently. I mean, that's just humiliating. Ryan,

1464
01:18:42,320 --> 01:18:44,320
Speaker 2: did it feel to you when you were interacting with

1465
01:18:44,360 --> 01:18:48,760
Speaker 2: this person who is impersonating the interceptor? The responses feel

1466
01:18:48,760 --> 01:18:50,960
Speaker 2: sort of AI, did that come across to you or no?

1467
01:18:51,880 --> 01:18:57,240
Speaker 4: Either Ai or English as a second language. Yeah, we

1468
01:18:58,240 --> 01:19:00,439
Speaker 4: like if you check when they were responding people that

1469
01:19:00,479 --> 01:19:03,879
Speaker 4: it's and the account is link linked to Hong Kong Twitter.

1470
01:19:04,120 --> 01:19:07,160
Speaker 4: You can't necessarily trust Twitter on this. But it also

1471
01:19:07,240 --> 01:19:11,240
Speaker 4: aligns with Hong Kong slash Beijing's time zone. Now maybe

1472
01:19:11,240 --> 01:19:14,000
Speaker 4: they're at night Oul, but like if they're doing work hours,

1473
01:19:14,040 --> 01:19:17,320
Speaker 4: it's it's in the Hong Kong Beijing time zone. So

1474
01:19:18,360 --> 01:19:21,240
Speaker 4: it struck me probably more as as English as a

1475
01:19:21,280 --> 01:19:23,679
Speaker 4: second language because there's a delay in the response where

1476
01:19:23,760 --> 01:19:26,439
Speaker 4: you usually if it's Ai, you're gonna get it late

1477
01:19:27,080 --> 01:19:28,080
Speaker 4: right away.

1478
01:19:28,400 --> 01:19:29,960
Speaker 2: That makes sense, but.

1479
01:19:30,040 --> 01:19:34,000
Speaker 4: It's still going. So the way to actually fix this,

1480
01:19:34,280 --> 01:19:37,559
Speaker 4: even though the Intercept doesn't seem intent on taking it

1481
01:19:37,960 --> 01:19:40,120
Speaker 4: as seriously as I think they should, would be for

1482
01:19:40,360 --> 01:19:44,360
Speaker 4: everybody to just message the Intercept dot o one with

1483
01:19:44,520 --> 01:19:48,120
Speaker 4: fake tips and just make that account unusable to the

1484
01:19:48,240 --> 01:19:52,240
Speaker 4: Chinese person who who's using it now. So just just

1485
01:19:52,280 --> 01:19:55,960
Speaker 4: send them pictures, send send them, send them whatever you want.

1486
01:19:56,439 --> 01:19:58,520
Speaker 4: Just tie them up until.

1487
01:19:58,400 --> 01:20:00,000
Speaker 6: The videos of Hailey Stevens can't.

1488
01:20:00,400 --> 01:20:02,400
Speaker 4: Yes say I got a huge tip on the Michigan

1489
01:20:02,439 --> 01:20:03,040
Speaker 4: Senate race.

1490
01:20:03,720 --> 01:20:07,639
Speaker 2: Get together your best schizo posts and your.

1491
01:20:07,640 --> 01:20:11,679
Speaker 4: Way just like flood them and garbage. But also signal

1492
01:20:11,720 --> 01:20:14,280
Speaker 4: if you're watching, shut that account down. The intercept dot

1493
01:20:14,439 --> 01:20:18,160
Speaker 4: one is fraudulently soliciting tips pretending to be the intercept

1494
01:20:18,840 --> 01:20:21,960
Speaker 4: And also if your source, do not leak to that

1495
01:20:22,000 --> 01:20:25,000
Speaker 4: account like also that check anyway.

1496
01:20:24,720 --> 01:20:28,960
Speaker 5: So I'm leaking all of my fake tips about Sager

1497
01:20:28,960 --> 01:20:30,920
Speaker 5: and Jetty to the intercept one.

1498
01:20:31,120 --> 01:20:31,559
Speaker 4: Excellent.

1499
01:20:31,680 --> 01:20:34,240
Speaker 3: Yes, if everyone for Breaking Points could send a meme

1500
01:20:34,280 --> 01:20:38,840
Speaker 3: of Sager hitting the bong to this intercepts probably one

1501
01:20:39,360 --> 01:20:43,200
Speaker 3: most useful way to use that imagery right now for journalism.

1502
01:20:43,360 --> 01:20:44,599
Speaker 3: All right, that was our.

1503
01:20:45,200 --> 01:20:48,800
Speaker 2: Actually like legit if if Soger did get caught like

1504
01:20:48,960 --> 01:20:52,240
Speaker 2: being a pothead, that actually would be news. That's news

1505
01:20:52,280 --> 01:20:54,120
Speaker 2: for sure, that would actually be news.

1506
01:20:54,840 --> 01:21:00,479
Speaker 3: Ye, our signal lines remain uncompromised for any entrepre rising

1507
01:21:01,800 --> 01:21:05,400
Speaker 3: audience members. All right, So that was our uh, that

1508
01:21:05,600 --> 01:21:09,519
Speaker 3: was our look at the wide world of journalism. Up next,

1509
01:21:09,760 --> 01:21:13,040
Speaker 3: we have a candidate, William Lawrence. Why don't we talk to.

1510
01:21:13,120 --> 01:21:19,200
Speaker 4: Him joining us now, is a Democratic candidate for Michigan's

1511
01:21:19,320 --> 01:21:23,160
Speaker 4: seventh district, Lansing and the surrounding kind of mid Michigan area.

1512
01:21:23,479 --> 01:21:25,840
Speaker 4: Will Lawrence will thank you for being here.

1513
01:21:26,760 --> 01:21:28,360
Speaker 14: Thank you so much, Ryan, I'm glad to be here.

1514
01:21:28,960 --> 01:21:32,400
Speaker 4: And so Will is in a competitive Democratic primary against

1515
01:21:32,560 --> 01:21:37,000
Speaker 4: two other more kind of centrist opponents and for the

1516
01:21:37,040 --> 01:21:40,920
Speaker 4: privilege of taking on incumbent Republican Tom Barrett. So you know,

1517
01:21:40,960 --> 01:21:42,599
Speaker 4: if Will is able to win, will be this interesting

1518
01:21:42,640 --> 01:21:45,240
Speaker 4: test of whether kind of the populist wing can also

1519
01:21:45,720 --> 01:21:48,160
Speaker 4: flip red seats in a similar way that Randy Vegas

1520
01:21:48,200 --> 01:21:50,479
Speaker 4: is trying to prove over in California. But we wanted

1521
01:21:50,479 --> 01:21:53,439
Speaker 4: to start by playing for you this this super viral

1522
01:21:54,000 --> 01:21:57,839
Speaker 4: clip of a very animated Alex carp the CEO of

1523
01:21:57,840 --> 01:22:01,000
Speaker 4: of Pallenteer and then and then we'll get into this.

1524
01:22:01,120 --> 01:22:03,840
Speaker 4: If people haven't seen this, this full clip, it's it's

1525
01:22:04,320 --> 01:22:06,080
Speaker 4: it's quite something. But let's play a little bit of

1526
01:22:06,120 --> 01:22:08,559
Speaker 4: it now, Griffin, We got that, who owns the data?

1527
01:22:09,120 --> 01:22:12,519
Speaker 15: Where is it cashed? Are the prompts secure? Is this

1528
01:22:12,600 --> 01:22:15,960
Speaker 15: being transferred to you? Are you being comp okay? If

1529
01:22:15,960 --> 01:22:17,640
Speaker 15: it was so valuable, Let's say I can make you

1530
01:22:17,680 --> 01:22:20,640
Speaker 15: a billion dollars right tomorrow. Wouldn't I say I'll make

1531
01:22:20,680 --> 01:22:23,559
Speaker 15: you a billion dollars and I want thirty Why are

1532
01:22:23,600 --> 01:22:25,519
Speaker 15: they charging for tokens if it's so valuable.

1533
01:22:25,560 --> 01:22:27,519
Speaker 5: So then Alex, if the key from what I'm hearing

1534
01:22:27,560 --> 01:22:31,679
Speaker 5: you say is a secure American born open source model,

1535
01:22:31,960 --> 01:22:34,960
Speaker 5: how quickly can your model compete with the frontiera.

1536
01:22:35,080 --> 01:22:35,719
Speaker 3: Now what I'm.

1537
01:22:35,640 --> 01:22:41,080
Speaker 15: Saying, AI, Okay, what I am claiming obviously slightly true

1538
01:22:41,120 --> 01:22:45,519
Speaker 15: but slightly self centered, is it's the model plus an

1539
01:22:45,560 --> 01:22:47,720
Speaker 15: application layer plus compute.

1540
01:22:48,040 --> 01:22:49,479
Speaker 12: It is really all three.

1541
01:22:49,560 --> 01:22:52,719
Speaker 15: So in our jargon, it's the value the reason.

1542
01:22:52,880 --> 01:22:54,520
Speaker 14: Okay, just look at our financials.

1543
01:22:54,720 --> 01:22:57,920
Speaker 15: The reason why everyone is chillaxing with bad financials and

1544
01:22:57,960 --> 01:23:01,280
Speaker 15: growth with while losing money is the client refuses to

1545
01:23:01,320 --> 01:23:04,680
Speaker 15: pay the true costs. The two places that actually make

1546
01:23:04,760 --> 01:23:09,240
Speaker 15: money like profit free cash flow are our application layer

1547
01:23:09,280 --> 01:23:12,880
Speaker 15: called ontology and compute. Okay, what I am not just

1548
01:23:12,960 --> 01:23:16,400
Speaker 15: claiming We can take an open model and in the

1549
01:23:16,439 --> 01:23:19,639
Speaker 15: classified or non classified context get it to the point

1550
01:23:19,680 --> 01:23:23,719
Speaker 15: of a frontier model. But a you control the weights.

1551
01:23:23,800 --> 01:23:26,120
Speaker 15: So what is the true cost? Not just what you're paying.

1552
01:23:26,240 --> 01:23:29,120
Speaker 15: The true cost is not just is what you make

1553
01:23:29,479 --> 01:23:32,960
Speaker 15: minus what you lose, meaning the value of your business.

1554
01:23:33,120 --> 01:23:36,680
Speaker 15: But we can get the frontier application to be exactly

1555
01:23:36,720 --> 01:23:40,320
Speaker 15: the same as a frontier model without the risk of

1556
01:23:40,360 --> 01:23:42,320
Speaker 15: transferring alpha of your business to another.

1557
01:23:42,880 --> 01:23:46,800
Speaker 4: Well, basically what he's saying there is related to Palenteer's

1558
01:23:46,840 --> 01:23:50,240
Speaker 4: recent struggles. A bunch of countries around the world have

1559
01:23:50,439 --> 01:23:54,679
Speaker 4: started to tell Palenteer, including France. I think the UK's

1560
01:23:54,760 --> 01:23:59,519
Speaker 4: NHS is reviewing, France's kicking them out, Germany's kicking them out.

1561
01:24:00,000 --> 01:24:02,600
Speaker 4: A bunch of countries are saying, wait a minute, we

1562
01:24:02,640 --> 01:24:08,000
Speaker 4: don't want this closed American AI inside what he's calling

1563
01:24:08,000 --> 01:24:11,400
Speaker 4: their alpha, like you know, their alpha is their business there,

1564
01:24:11,880 --> 01:24:15,040
Speaker 4: the whole point of their business. And he's worried that

1565
01:24:15,080 --> 01:24:17,800
Speaker 4: the US companies are going to go in basically steal

1566
01:24:17,840 --> 01:24:19,800
Speaker 4: it and run it and can flick a switch and

1567
01:24:19,840 --> 01:24:23,519
Speaker 4: turn it off. And so this closed model approach that

1568
01:24:23,560 --> 01:24:27,240
Speaker 4: the US has been taking versus the Chinese open approach

1569
01:24:28,000 --> 01:24:30,200
Speaker 4: is turning out to be a very expensive and very

1570
01:24:30,240 --> 01:24:34,600
Speaker 4: incorrect be The open stuff also needs much less compute,

1571
01:24:34,640 --> 01:24:39,960
Speaker 4: which also then means means many fewer data data centers. Meanwhile,

1572
01:24:40,040 --> 01:24:43,320
Speaker 4: we are pumping endless amounts of money into building more

1573
01:24:43,920 --> 01:24:50,000
Speaker 4: and more data centers. Any reaction to CARPS kind of

1574
01:24:50,200 --> 01:24:54,120
Speaker 4: self motivated and I think actually fairly accurate in some ways.

1575
01:24:55,000 --> 01:24:57,880
Speaker 2: Common incoherent, but maybe accurate, yes.

1576
01:24:58,000 --> 01:25:01,360
Speaker 4: Right, and and how it fits and how it fits

1577
01:25:01,400 --> 01:25:04,599
Speaker 4: into your campaign, which picked up a lot of attention

1578
01:25:04,680 --> 01:25:07,920
Speaker 4: over the past week for your first television ad, you know,

1579
01:25:07,960 --> 01:25:11,679
Speaker 4: standing up against the development of a local data center

1580
01:25:11,720 --> 01:25:12,160
Speaker 4: in Michigan.

1581
01:25:13,560 --> 01:25:17,360
Speaker 8: Well, I think Karp is always very clarifying when he's

1582
01:25:17,360 --> 01:25:20,400
Speaker 8: in the news because what he's clear about is that

1583
01:25:20,439 --> 01:25:26,400
Speaker 8: this is fundamentally for the powerful technology of surveillance and warfare.

1584
01:25:26,840 --> 01:25:29,280
Speaker 8: So of course there are sovereignty questions that are coming

1585
01:25:29,360 --> 01:25:32,720
Speaker 8: up when that is what the technology is being used for.

1586
01:25:32,760 --> 01:25:37,280
Speaker 8: And that's what Palneers proprietary software is designed to do,

1587
01:25:37,439 --> 01:25:40,320
Speaker 8: is to help powerful people to surveil and make war.

1588
01:25:40,840 --> 01:25:42,960
Speaker 8: And you know, the Pope said in his encyclical on

1589
01:25:43,040 --> 01:25:47,640
Speaker 8: AI that the AI is making the to kill is

1590
01:25:47,680 --> 01:25:49,960
Speaker 8: now as easy as snapping your fingers. In fact, you

1591
01:25:50,000 --> 01:25:51,880
Speaker 8: don't even need to snap the fingers. You can have

1592
01:25:51,920 --> 01:25:54,720
Speaker 8: the computer snap the fingers for you. That's what was

1593
01:25:54,760 --> 01:25:56,880
Speaker 8: at stake in the debate between Anthropic and the d

1594
01:25:57,000 --> 01:26:00,720
Speaker 8: O D. Right, is the computer press the but or

1595
01:26:00,760 --> 01:26:03,759
Speaker 8: do we want the computer to line everything up, calibrate

1596
01:26:03,800 --> 01:26:06,479
Speaker 8: the target and then you still require a human to

1597
01:26:06,520 --> 01:26:09,280
Speaker 8: press the button. That's you know, that's an important distinction.

1598
01:26:09,760 --> 01:26:12,120
Speaker 8: But the bigger picture we need to be clear on

1599
01:26:12,160 --> 01:26:13,720
Speaker 8: here is that this is this is a tool of

1600
01:26:13,720 --> 01:26:18,200
Speaker 8: surveillance and warfare that is being used to track all

1601
01:26:18,240 --> 01:26:21,960
Speaker 8: of us. And so when I'm here in the ground

1602
01:26:21,960 --> 01:26:23,880
Speaker 8: in Michigan and we're talking to people who are fighting

1603
01:26:23,880 --> 01:26:27,280
Speaker 8: against these data centers, you know, the local company officials,

1604
01:26:27,320 --> 01:26:30,439
Speaker 8: they come into town and they sign the township elected

1605
01:26:30,680 --> 01:26:33,519
Speaker 8: ord members and whatnot to non disclosure agreements, and then

1606
01:26:33,560 --> 01:26:35,720
Speaker 8: they come forward and they say like, oh, you know,

1607
01:26:35,800 --> 01:26:37,800
Speaker 8: this is the wave of progress for the twenty first

1608
01:26:37,840 --> 01:26:40,800
Speaker 8: century and you're going to miss out on it if

1609
01:26:40,840 --> 01:26:43,519
Speaker 8: you don't take this deal and allow this behemoth data

1610
01:26:43,520 --> 01:26:46,799
Speaker 8: center to be built in your front yard. And folks

1611
01:26:46,800 --> 01:26:49,800
Speaker 8: are saying, well, what progress are you talking about? I mean,

1612
01:26:50,120 --> 01:26:52,360
Speaker 8: you're talking about the ability to surveil us. You're talking

1613
01:26:52,360 --> 01:26:55,479
Speaker 8: about the ability to kick ten million people out of

1614
01:26:55,520 --> 01:26:58,479
Speaker 8: their jobs, which we're also hearing amoday, and you know,

1615
01:26:58,600 --> 01:27:02,519
Speaker 8: so many others. And there are people who believe that,

1616
01:27:02,600 --> 01:27:05,599
Speaker 8: you know, the ai IS could be used for the best,

1617
01:27:05,640 --> 01:27:07,160
Speaker 8: and you know, I'm someone who believes we could be

1618
01:27:07,280 --> 01:27:09,760
Speaker 8: using it to make biomedical advances and curing cancer and

1619
01:27:09,800 --> 01:27:11,760
Speaker 8: things like that. But what's clear is that under the

1620
01:27:11,760 --> 01:27:14,439
Speaker 8: current leadership and the current incentive system. It's going to

1621
01:27:14,439 --> 01:27:18,360
Speaker 8: be used for surveillance, warfare and as a mass unemployment machine,

1622
01:27:18,400 --> 01:27:19,760
Speaker 8: and people don't want to have any part of that.

1623
01:27:20,439 --> 01:27:23,400
Speaker 2: So let's go ahead and play your ad that captured

1624
01:27:23,760 --> 01:27:25,720
Speaker 2: so much attention. And I'll just add to this. I

1625
01:27:25,720 --> 01:27:28,000
Speaker 2: did a monologue this week, but in Utah, I'm sure

1626
01:27:28,000 --> 01:27:30,679
Speaker 2: you were following the saga of this Kevin O'Leary backed

1627
01:27:30,920 --> 01:27:35,400
Speaker 2: hyperscale data center in rural Utah. Local people did not

1628
01:27:35,520 --> 01:27:39,000
Speaker 2: want this. There didn't matter got ran through by the politicians. Well,

1629
01:27:39,160 --> 01:27:43,640
Speaker 2: the state Senate president just lost his seat in a

1630
01:27:44,080 --> 01:27:47,000
Speaker 2: massive backlash to this data center. Two out of the

1631
01:27:47,040 --> 01:27:49,240
Speaker 2: three counting commissioners, the only two that were on the ballot,

1632
01:27:49,960 --> 01:27:53,760
Speaker 2: also lost their seats for greenlighting the regulatory regime that

1633
01:27:53,800 --> 01:27:56,680
Speaker 2: would enable this data center as well. So I think

1634
01:27:56,680 --> 01:27:58,599
Speaker 2: these politics are very potent. Let's go ahead and take

1635
01:27:58,600 --> 01:28:00,439
Speaker 2: a look at your opening here.

1636
01:28:00,880 --> 01:28:03,840
Speaker 8: I'm Will Lawrence and tech billionaires want to turn this

1637
01:28:03,920 --> 01:28:07,120
Speaker 8: whole field into a massive data center that'll jack up

1638
01:28:07,160 --> 01:28:09,759
Speaker 8: our energy bills and ruin our home values.

1639
01:28:09,880 --> 01:28:12,800
Speaker 4: They put that in, it's going to plummet the values.

1640
01:28:12,920 --> 01:28:15,240
Speaker 3: It's an existential threat.

1641
01:28:15,240 --> 01:28:17,799
Speaker 8: I'm running for US Confas because I've never been afraid

1642
01:28:17,840 --> 01:28:21,320
Speaker 8: to stand up corporate power. I'm backed by Bernie Sanders

1643
01:28:21,360 --> 01:28:23,519
Speaker 8: and I don't take a dime from corporate packs.

1644
01:28:23,960 --> 01:28:26,240
Speaker 7: Well, Lawrence isn't going to let us be bullied by

1645
01:28:26,320 --> 01:28:27,160
Speaker 7: big corporation.

1646
01:28:27,760 --> 01:28:30,400
Speaker 14: I'm Will Lawrence, and I approve this message.

1647
01:28:30,760 --> 01:28:33,800
Speaker 2: So what has been a response to this ad? And also, I,

1648
01:28:34,400 --> 01:28:36,559
Speaker 2: you know, find it noteworthy that not only you, but

1649
01:28:36,680 --> 01:28:40,599
Speaker 2: Abdulah Sayad are touting your Bernie Sanders endorsements in the state.

1650
01:28:40,960 --> 01:28:43,639
Speaker 2: You know this after Bernie's been painted as this fringe character.

1651
01:28:43,640 --> 01:28:45,960
Speaker 2: The polls tell a very different story about his popularity.

1652
01:28:46,080 --> 01:28:48,320
Speaker 2: So I'm just interested in what the backstory is, why

1653
01:28:48,320 --> 01:28:50,599
Speaker 2: you decided to launch with this ad in this particular

1654
01:28:50,640 --> 01:28:52,160
Speaker 2: makeup with the response to it has.

1655
01:28:52,040 --> 01:28:54,880
Speaker 8: Been, Yeah, well just on Bernie, I'll say, you know,

1656
01:28:55,080 --> 01:28:57,280
Speaker 8: people love Bernie. People who had never voted for him

1657
01:28:57,280 --> 01:28:59,960
Speaker 8: in twenty sixteen or twenty twenty are now coming around

1658
01:29:00,080 --> 01:29:02,200
Speaker 8: to the truth of his message. I hear that every

1659
01:29:02,200 --> 01:29:06,000
Speaker 8: single day on the campaign trail. But the data centers

1660
01:29:06,080 --> 01:29:07,800
Speaker 8: was not something I expected to be talking about when

1661
01:29:07,840 --> 01:29:10,240
Speaker 8: I got into this campaign last August. But we've had

1662
01:29:10,800 --> 01:29:13,519
Speaker 8: a wave of data centers proposed all across the state

1663
01:29:13,560 --> 01:29:16,759
Speaker 8: of Michigan thanks to some tax incentives that were passed

1664
01:29:16,760 --> 01:29:20,000
Speaker 8: on a bipartisan basis at the state level several years ago.

1665
01:29:20,400 --> 01:29:22,760
Speaker 8: And again, how the playbook usually goes is that the

1666
01:29:22,800 --> 01:29:26,639
Speaker 8: residents are the last to find out. The local elected

1667
01:29:26,680 --> 01:29:29,320
Speaker 8: officials have been signed to non disclosure agreements, and then

1668
01:29:29,400 --> 01:29:32,080
Speaker 8: the pr agents and the lawyers come in and they say, everybody,

1669
01:29:32,120 --> 01:29:33,080
Speaker 8: this is a great deal.

1670
01:29:33,520 --> 01:29:34,320
Speaker 14: Just trust us.

1671
01:29:34,800 --> 01:29:38,160
Speaker 8: The utility companies have assured us that your rates will

1672
01:29:38,200 --> 01:29:42,040
Speaker 8: not rise. There might be some inconvenience, but this is

1673
01:29:42,120 --> 01:29:44,800
Speaker 8: just the price that we all have to pay for progress.

1674
01:29:45,040 --> 01:29:48,000
Speaker 8: So get on board. And people say, why would we

1675
01:29:48,040 --> 01:29:50,559
Speaker 8: trust you. You've given us no reason to trust you.

1676
01:29:50,640 --> 01:29:54,320
Speaker 8: This was negotiated under an NBA. The utility monopolies are

1677
01:29:54,320 --> 01:29:58,720
Speaker 8: completely untrustworthy. Sam Altman and Musk and Alex carp and

1678
01:29:58,720 --> 01:30:01,320
Speaker 8: there Elk do not ex actually seem like the most

1679
01:30:01,600 --> 01:30:04,720
Speaker 8: morally upstanding characters. I mean, all men'sone colleagues call him

1680
01:30:04,720 --> 01:30:07,719
Speaker 8: a pathological liar. So people say, we've got good reasons

1681
01:30:07,720 --> 01:30:09,639
Speaker 8: to doubt whether this is a good deal. And then

1682
01:30:09,680 --> 01:30:12,519
Speaker 8: normally the LATINX line is like, well, don't you idiots

1683
01:30:12,520 --> 01:30:14,280
Speaker 8: know that you don't have any better options because you

1684
01:30:14,280 --> 01:30:16,200
Speaker 8: don't got a lot of money out here. We've got

1685
01:30:16,240 --> 01:30:19,080
Speaker 8: billions upon billions of dollars in California, and if you

1686
01:30:19,120 --> 01:30:22,120
Speaker 8: don't get this investment now, it's the last bet, best

1687
01:30:22,160 --> 01:30:24,120
Speaker 8: option you're going to get, and you're going to be

1688
01:30:24,200 --> 01:30:26,439
Speaker 8: left behind for the rest of the century. That goes

1689
01:30:26,439 --> 01:30:30,040
Speaker 8: over like a lead balloon, and people say, hey, actually,

1690
01:30:30,400 --> 01:30:32,000
Speaker 8: we kind of like our town the way it is,

1691
01:30:32,439 --> 01:30:34,599
Speaker 8: and we might want some things to change, but we

1692
01:30:34,640 --> 01:30:36,800
Speaker 8: want to be part of that change, because that's what

1693
01:30:36,880 --> 01:30:40,360
Speaker 8: democracy and self determination means. And what you're offering us

1694
01:30:40,640 --> 01:30:44,320
Speaker 8: looks a lot like a con job and you're acting

1695
01:30:44,400 --> 01:30:44,920
Speaker 8: like bullies.

1696
01:30:45,920 --> 01:30:48,040
Speaker 5: And I've been on mute because it sounds like a

1697
01:30:48,040 --> 01:30:50,200
Speaker 5: war zone here in DC because if you hear, if

1698
01:30:50,240 --> 01:30:53,360
Speaker 5: you start hearing like fighter jets in the background, blame Trump. Yeah,

1699
01:30:53,520 --> 01:30:55,559
Speaker 5: He's like, there's clearly something going on up.

1700
01:30:55,600 --> 01:30:56,479
Speaker 3: It's a data center.

1701
01:30:56,880 --> 01:31:01,120
Speaker 5: It's yeah, it's just the beautiful, al lullabit hum of

1702
01:31:01,200 --> 01:31:03,720
Speaker 5: the of the data center in the background. But will

1703
01:31:04,600 --> 01:31:07,000
Speaker 5: the question I wanted to ask is I think a

1704
01:31:07,040 --> 01:31:10,120
Speaker 5: lot of people, my fellow conservatives look at candidates that

1705
01:31:10,160 --> 01:31:13,520
Speaker 5: are aligned with Bernie DSA candidates, folks running in flippable

1706
01:31:13,760 --> 01:31:17,360
Speaker 5: districts perhaps or red areas, and make the mistake of

1707
01:31:17,400 --> 01:31:21,080
Speaker 5: thinking that because there are some cultural positions that might

1708
01:31:21,160 --> 01:31:24,280
Speaker 5: be like disagreed on by some of the folks even

1709
01:31:24,280 --> 01:31:26,120
Speaker 5: that you're talking to in that video, that might be

1710
01:31:26,240 --> 01:31:28,840
Speaker 5: like there we go with the fighter jets. That might

1711
01:31:28,880 --> 01:31:31,519
Speaker 5: be a little bit of a barrier. But I think

1712
01:31:31,600 --> 01:31:34,240
Speaker 5: when the economy doesn't feel good, and as we were

1713
01:31:34,280 --> 01:31:37,600
Speaker 5: talking about earlier wages not keeping up with inflation and

1714
01:31:37,680 --> 01:31:40,599
Speaker 5: the show that I think my theory here is, and

1715
01:31:40,640 --> 01:31:44,200
Speaker 5: I'm curious what you make of this. People prioritize someone

1716
01:31:44,200 --> 01:31:46,679
Speaker 5: who has their economic interests and can kind of get

1717
01:31:46,720 --> 01:31:49,800
Speaker 5: over some of the cultural differences they might have on

1718
01:31:49,920 --> 01:31:52,840
Speaker 5: issues that are related to like maybe immigration, maybe I

1719
01:31:53,160 --> 01:31:55,240
Speaker 5: those types of things. And I just want to I'm

1720
01:31:55,280 --> 01:31:57,200
Speaker 5: curious if that's the response that you've got, because this

1721
01:31:57,280 --> 01:31:59,960
Speaker 5: data center is really the data center who's really unil

1722
01:32:00,400 --> 01:32:03,760
Speaker 5: like people across parties are on that and if you

1723
01:32:03,760 --> 01:32:06,040
Speaker 5: can talk to them about something like this, you can

1724
01:32:06,040 --> 01:32:08,400
Speaker 5: build trust. And so basically that's just the theory. I

1725
01:32:08,439 --> 01:32:09,920
Speaker 5: wanted to lay out layout for you and see what

1726
01:32:09,920 --> 01:32:14,080
Speaker 5: you think. You're totally right, You're on the money.

1727
01:32:14,360 --> 01:32:18,160
Speaker 8: People feel like so angry at the leadership of both

1728
01:32:18,200 --> 01:32:21,400
Speaker 8: parties for rolling out the red carpet for big tech.

1729
01:32:21,720 --> 01:32:24,000
Speaker 8: This is something that Trump has been all on board for.

1730
01:32:24,320 --> 01:32:26,559
Speaker 8: It's something that our governor, Gretchen Whitmer has been all

1731
01:32:26,600 --> 01:32:29,240
Speaker 8: on board for. And people see that. People see how

1732
01:32:29,640 --> 01:32:34,080
Speaker 8: our congressional delegation and our state legislators have also been

1733
01:32:34,360 --> 01:32:38,200
Speaker 8: silent or at worse, actively abetting these data centers coming

1734
01:32:38,240 --> 01:32:41,240
Speaker 8: into our communities. So in that context, it's just reinforcing

1735
01:32:41,240 --> 01:32:43,800
Speaker 8: what we already know, which is that people feel ripped

1736
01:32:43,840 --> 01:32:46,960
Speaker 8: off by both political parties. People feel that both parties

1737
01:32:47,000 --> 01:32:50,280
Speaker 8: are in league with the billionaires in Silicon Valley and

1738
01:32:50,320 --> 01:32:53,439
Speaker 8: Wall Street more than they give a damn about the

1739
01:32:53,479 --> 01:32:58,040
Speaker 8: working class or regular people across Michigan. And when somebody

1740
01:32:58,080 --> 01:33:01,240
Speaker 8: just shows up and is willing to listen and say, hey,

1741
01:33:01,320 --> 01:33:06,360
Speaker 8: you're not crazy for fearing this behemoth data center coming

1742
01:33:06,360 --> 01:33:09,720
Speaker 8: into your front yard, and you shouldn't take kindly to

1743
01:33:09,840 --> 01:33:11,800
Speaker 8: people coming in and lecturing to you about why it's

1744
01:33:11,800 --> 01:33:14,640
Speaker 8: actually a great thing. People respond well to that, and

1745
01:33:14,680 --> 01:33:17,519
Speaker 8: that's why I'm earning trust of people of all political

1746
01:33:17,520 --> 01:33:21,280
Speaker 8: persuasions across the district who are impacted by this issue.

1747
01:33:21,439 --> 01:33:23,519
Speaker 4: Now, I want to play one more clip from this

1748
01:33:23,920 --> 01:33:27,080
Speaker 4: Alex Karp interview because I thought it was extraordinarily revealing

1749
01:33:27,120 --> 01:33:31,040
Speaker 4: and you kind of have to listen closely if you're watching.

1750
01:33:31,479 --> 01:33:34,800
Speaker 4: But what he says is that he's super angry at

1751
01:33:34,800 --> 01:33:37,160
Speaker 4: the sam Altmans of the world who have been talking

1752
01:33:37,200 --> 01:33:41,280
Speaker 4: about the unemployment apocalypse that AI is going to bring about,

1753
01:33:41,720 --> 01:33:45,439
Speaker 4: not because it's not true necessarily, but because what it's

1754
01:33:45,479 --> 01:33:49,800
Speaker 4: going to do is allow the public to create a

1755
01:33:49,840 --> 01:33:53,479
Speaker 4: wealth tax on billionaires because they're going to be so scared.

1756
01:33:54,400 --> 01:33:55,840
Speaker 4: So listen to how he frames this.

1757
01:33:56,439 --> 01:33:59,200
Speaker 15: These people are livid. They're like, I am paying for

1758
01:33:59,280 --> 01:34:02,479
Speaker 15: tokens that create no value. These people are stealing the

1759
01:34:02,479 --> 01:34:05,000
Speaker 15: weights and alpha of my business, and they're creating a

1760
01:34:05,000 --> 01:34:08,000
Speaker 15: wealth tax that does not help the poor. It just punishes.

1761
01:34:08,400 --> 01:34:11,000
Speaker 15: Starts with the billionaires. Every single person at this table

1762
01:34:11,040 --> 01:34:12,880
Speaker 15: is going to be paying a wealth tax only to

1763
01:34:12,920 --> 01:34:16,439
Speaker 15: punish us. And the reason for it is because these

1764
01:34:16,479 --> 01:34:20,599
Speaker 15: models have been completely over irresponsibly oversailed, and the sale

1765
01:34:20,720 --> 01:34:23,479
Speaker 15: is it's dangerous for everyone, which is why I can

1766
01:34:23,520 --> 01:34:25,280
Speaker 15: give it to all your adversaries. But I can't give

1767
01:34:25,320 --> 01:34:27,280
Speaker 15: it to a Department of Wark, or I can't safely

1768
01:34:27,320 --> 01:34:30,719
Speaker 15: give it to an enterprise in this country without being

1769
01:34:30,960 --> 01:34:34,040
Speaker 15: certain that the alpha that business could transfer to this moment.

1770
01:34:34,280 --> 01:34:37,519
Speaker 4: So what he's saying is, because you've overhyped AI and

1771
01:34:38,600 --> 01:34:40,479
Speaker 4: told the public that one hundred million people are going

1772
01:34:40,520 --> 01:34:44,639
Speaker 4: to go out of get thrown out of work, they're

1773
01:34:44,680 --> 01:34:47,600
Speaker 4: going to tax your wealth. First of all, would you

1774
01:34:47,680 --> 01:34:49,880
Speaker 4: do you support a wealth tax? And do you think

1775
01:34:49,920 --> 01:34:55,360
Speaker 4: he's actually right that the mood among the public is

1776
01:34:55,400 --> 01:34:58,280
Speaker 4: actually getting ripe to say, you know what, this is

1777
01:34:58,520 --> 01:35:00,840
Speaker 4: unsustainable and obscene. We need to tax these guys.

1778
01:35:02,200 --> 01:35:05,040
Speaker 8: I do support her well taxed because it is unsustainable

1779
01:35:05,080 --> 01:35:09,559
Speaker 8: and obscene. I mean again, I'm an organizer and I'm

1780
01:35:09,600 --> 01:35:13,200
Speaker 8: a public servant. I've spent my last five years most

1781
01:35:13,439 --> 01:35:17,280
Speaker 8: focused on the housing crisis here in mid Michigan, and

1782
01:35:17,680 --> 01:35:19,600
Speaker 8: you may be you may be surprised to hear that

1783
01:35:19,640 --> 01:35:22,960
Speaker 8: even in Lansing, Michigan, the rent is way too damn high.

1784
01:35:23,000 --> 01:35:25,360
Speaker 8: I don't think there is an affordable place anywhere in

1785
01:35:25,439 --> 01:35:28,160
Speaker 8: my district or anywhere in the country these days. Frankly,

1786
01:35:28,479 --> 01:35:31,920
Speaker 8: and I was just talking yesterday with a good friend

1787
01:35:32,200 --> 01:35:34,439
Speaker 8: who I met because we were helping her to fight

1788
01:35:35,080 --> 01:35:39,240
Speaker 8: a mass eviction with her neighbors, and she ended up

1789
01:35:39,479 --> 01:35:42,920
Speaker 8: fighting that eviction, getting time and money to successfully relocate.

1790
01:35:43,320 --> 01:35:46,799
Speaker 8: But now her new landlord is raising her rent fifty

1791
01:35:47,040 --> 01:35:49,360
Speaker 8: percent and she is going to have to She's not

1792
01:35:49,400 --> 01:35:50,680
Speaker 8: going to be able to pay it. She's going to

1793
01:35:50,720 --> 01:35:52,720
Speaker 8: have to go find a new place, and Lord knows

1794
01:35:52,720 --> 01:35:54,280
Speaker 8: what's going to happen to her. I'm hoping that we

1795
01:35:54,320 --> 01:35:57,240
Speaker 8: can help her find a place. But people are getting

1796
01:35:57,280 --> 01:36:00,519
Speaker 8: pushed out onto the street. People are going deeply into debt,

1797
01:36:00,560 --> 01:36:03,400
Speaker 8: people are dying of preventable diseases because they can't afford

1798
01:36:03,439 --> 01:36:06,880
Speaker 8: their healthcare. While we've got these billionaires getting richer than

1799
01:36:06,880 --> 01:36:09,519
Speaker 8: anybody in the history of humanity and making their plans

1800
01:36:09,560 --> 01:36:13,560
Speaker 8: to go off to space. This is not a sustainable

1801
01:36:13,600 --> 01:36:17,920
Speaker 8: foundation for a society. We actually do depend on each

1802
01:36:17,920 --> 01:36:21,639
Speaker 8: other still. These billionaires actually do depend on the working

1803
01:36:21,680 --> 01:36:25,880
Speaker 8: class still, and they do depend on the relative peace

1804
01:36:25,920 --> 01:36:29,280
Speaker 8: and harmony of the social fabric, so that people are

1805
01:36:29,320 --> 01:36:33,920
Speaker 8: not bringing the pitchforks out into the streets because they

1806
01:36:33,960 --> 01:36:37,880
Speaker 8: are so desperate to be fed and housed and to

1807
01:36:38,160 --> 01:36:41,479
Speaker 8: ensure the same for their children and grandchildren. People can

1808
01:36:41,520 --> 01:36:43,560
Speaker 8: see that it's not right and something is going to

1809
01:36:43,600 --> 01:36:46,400
Speaker 8: have to give, because we're not just going to go

1810
01:36:46,520 --> 01:36:49,400
Speaker 8: down lightly as these people, or at all of the

1811
01:36:49,439 --> 01:36:51,519
Speaker 8: wealth of our society and take it away to Mars

1812
01:36:51,520 --> 01:36:53,240
Speaker 8: with them.

1813
01:36:53,720 --> 01:36:56,200
Speaker 3: Will what other positions you know you said you didn't

1814
01:36:56,200 --> 01:36:59,120
Speaker 3: want to start with data centers or you didn't think

1815
01:36:59,120 --> 01:37:01,120
Speaker 3: that was going to be while you got into the race.

1816
01:37:01,800 --> 01:37:04,760
Speaker 3: What other positions are part of your campaign? And what

1817
01:37:04,760 --> 01:37:08,240
Speaker 3: does the race look like right now? Are your opponents

1818
01:37:08,479 --> 01:37:12,479
Speaker 3: going all in on pro AI mentioned a little bit

1819
01:37:12,479 --> 01:37:14,759
Speaker 3: about that, sure, Well.

1820
01:37:15,560 --> 01:37:19,080
Speaker 8: You know, I got into this race because we need

1821
01:37:19,120 --> 01:37:20,720
Speaker 8: to flip the district. This is one of the top

1822
01:37:20,760 --> 01:37:22,920
Speaker 8: five swing districts that's going to determine control of the

1823
01:37:23,040 --> 01:37:26,720
Speaker 8: US House. It's a fifty to fifty even district and

1824
01:37:26,760 --> 01:37:29,200
Speaker 8: it was formerly held by our now Senator Alyssa Slockin.

1825
01:37:29,520 --> 01:37:31,599
Speaker 8: When she moved up to the Senate, it flipped into

1826
01:37:31,600 --> 01:37:34,320
Speaker 8: Republican's hands and we have a first term Republican named

1827
01:37:34,320 --> 01:37:36,040
Speaker 8: Tom Barrett who has.

1828
01:37:35,920 --> 01:37:37,000
Speaker 14: Not done the job.

1829
01:37:37,640 --> 01:37:39,559
Speaker 8: But when I was working in DC as a co

1830
01:37:39,640 --> 01:37:41,840
Speaker 8: founder of the Sunrise movement and fighting for the Green

1831
01:37:41,880 --> 01:37:44,400
Speaker 8: New Deal and then the Build Back Better Agenda, I

1832
01:37:44,479 --> 01:37:48,200
Speaker 8: heard what the corporate lobbyists said about districts like mine,

1833
01:37:48,320 --> 01:37:51,080
Speaker 8: the frontline swing districts. They said, basically, you know, we

1834
01:37:51,120 --> 01:37:53,759
Speaker 8: can't extend the child tax credit because people in Michigan's

1835
01:37:53,760 --> 01:37:56,839
Speaker 8: seventh district won't go for that. We can't have Medicare

1836
01:37:56,880 --> 01:37:59,639
Speaker 8: for all, We can't block the bombs to Israel because

1837
01:38:00,360 --> 01:38:03,000
Speaker 8: people in Michigan seven district and other frontline districts will

1838
01:38:03,000 --> 01:38:03,959
Speaker 8: not go for that.

1839
01:38:03,960 --> 01:38:05,799
Speaker 14: That is a lie. It's a self serving lie.

1840
01:38:05,920 --> 01:38:07,759
Speaker 8: But that is one of the ways that the corporate

1841
01:38:07,840 --> 01:38:11,040
Speaker 8: establishment on both sides of the aisle allows the status

1842
01:38:11,080 --> 01:38:14,040
Speaker 8: quota to be maintained, is by telling these myths about

1843
01:38:14,280 --> 01:38:16,519
Speaker 8: places like the place where I live. I know that

1844
01:38:16,520 --> 01:38:19,000
Speaker 8: that's crap. We need to prove that it's crap by

1845
01:38:19,040 --> 01:38:23,280
Speaker 8: winning with a populist progressive platform in a district like this,

1846
01:38:23,720 --> 01:38:26,439
Speaker 8: so that we can redefine what is possible in the

1847
01:38:26,520 --> 01:38:29,080
Speaker 8: United States Congress. And you know, one of the issues

1848
01:38:29,120 --> 01:38:32,800
Speaker 8: that you know, so of course, it's the affordability, it's

1849
01:38:32,840 --> 01:38:35,559
Speaker 8: the cost of living, it's housing, it's healthcare, it's protecting

1850
01:38:35,600 --> 01:38:36,400
Speaker 8: social security.

1851
01:38:36,439 --> 01:38:37,880
Speaker 14: These are things I hear a lot about, and I've

1852
01:38:37,920 --> 01:38:38,920
Speaker 14: been talking a lot about.

1853
01:38:39,520 --> 01:38:42,360
Speaker 8: But when I got into the race, you know, saying

1854
01:38:42,400 --> 01:38:45,880
Speaker 8: no to war and really reevaluating our foreign policy was

1855
01:38:45,920 --> 01:38:48,719
Speaker 8: one of my core convictions from the very beginning, because

1856
01:38:48,720 --> 01:38:51,240
Speaker 8: again when I was at Sunrise Movement fighting for the

1857
01:38:51,240 --> 01:38:54,000
Speaker 8: Green New Deal and build back Better, I saw how

1858
01:38:54,120 --> 01:38:57,439
Speaker 8: the bind administration, you know, specifically under the leadership of

1859
01:38:57,520 --> 01:39:00,880
Speaker 8: Jake Sullivan, took up the whole idea, idea of you know,

1860
01:39:01,000 --> 01:39:05,200
Speaker 8: good green American jobs and green industrial policy, which I

1861
01:39:05,280 --> 01:39:09,000
Speaker 8: stand by and still support. But then they added another

1862
01:39:09,040 --> 01:39:12,280
Speaker 8: piece to it. They said, and therefore we must also

1863
01:39:13,439 --> 01:39:17,600
Speaker 8: conquer China so that we can ensure American dominance worldwide

1864
01:39:17,680 --> 01:39:20,840
Speaker 8: for the twenty first century in the economy.

1865
01:39:20,360 --> 01:39:24,080
Speaker 14: Of the future. And I was like, no, no, and

1866
01:39:24,120 --> 01:39:25,559
Speaker 14: you need to go to we need to have a

1867
01:39:25,560 --> 01:39:26,120
Speaker 14: shooting war.

1868
01:39:26,400 --> 01:39:28,000
Speaker 8: We need to have a shooting war in the Pacific

1869
01:39:28,120 --> 01:39:32,240
Speaker 8: if that is required to maintain our unquestioned economic dominance.

1870
01:39:32,680 --> 01:39:35,360
Speaker 8: And this is just nothing could be more disastrous for

1871
01:39:35,400 --> 01:39:38,639
Speaker 8: the American economy, for the American people, for the Chinese people,

1872
01:39:38,720 --> 01:39:41,120
Speaker 8: for the planet, or for humanity as a whole than

1873
01:39:41,200 --> 01:39:43,920
Speaker 8: to think that we're going to go into some cold

1874
01:39:43,960 --> 01:39:47,439
Speaker 8: war which then becomes a shooting war with China. We

1875
01:39:47,520 --> 01:39:50,519
Speaker 8: need to reinvest in multi I mean, how about a

1876
01:39:50,560 --> 01:39:56,120
Speaker 8: radical idea like multilateralism, diplomacy, dialogue, you know, being able

1877
01:39:56,120 --> 01:39:58,960
Speaker 8: to actually solve problems with other nations around the world

1878
01:39:59,000 --> 01:40:01,000
Speaker 8: that we don't agree with day of the week, but

1879
01:40:01,080 --> 01:40:02,519
Speaker 8: we have to live with them in the same way

1880
01:40:02,520 --> 01:40:04,400
Speaker 8: we have to live with our neighbors here in Lansing.

1881
01:40:04,680 --> 01:40:07,160
Speaker 8: We don't always agree with them, but we don't just

1882
01:40:07,439 --> 01:40:11,599
Speaker 8: fire bomb each other's homes. So seeing how that progressive agenda,

1883
01:40:11,640 --> 01:40:14,639
Speaker 8: because I do believe that there was something good about

1884
01:40:14,640 --> 01:40:18,559
Speaker 8: Biden's efforts to build a working class agenda, and he

1885
01:40:18,640 --> 01:40:20,840
Speaker 8: did a lot to support unions, and his investment in

1886
01:40:20,840 --> 01:40:24,680
Speaker 8: green industrial policy was significant, but that was all undone

1887
01:40:24,800 --> 01:40:28,200
Speaker 8: by the hawkishness that pervaded his administration in the ways

1888
01:40:28,200 --> 01:40:31,479
Speaker 8: I just mentioned, as well as and then especially the

1889
01:40:31,479 --> 01:40:34,559
Speaker 8: blank check that was offered to Netanyahu to conduct the

1890
01:40:34,560 --> 01:40:38,840
Speaker 8: genocide and Gazi. It destroyed the Democratic coalition. So if

1891
01:40:38,920 --> 01:40:41,280
Speaker 8: we want to be able to win and keep winning

1892
01:40:41,320 --> 01:40:44,280
Speaker 8: in the future for the American working class, we need

1893
01:40:44,320 --> 01:40:47,599
Speaker 8: to bring a more sensible foreign policy into the center

1894
01:40:47,720 --> 01:40:50,720
Speaker 8: of our politics, rather than thinking that we can just

1895
01:40:50,760 --> 01:40:54,040
Speaker 8: focus on the domestic issues and let the warhawks and

1896
01:40:54,080 --> 01:40:56,719
Speaker 8: the blob have their way with our foreign policy.

1897
01:40:56,920 --> 01:40:58,000
Speaker 14: It's just not going to work.

1898
01:40:58,680 --> 01:41:00,519
Speaker 2: Well, let me ask you a little bit more about that,

1899
01:41:00,600 --> 01:41:03,760
Speaker 2: because obviously Gaza, the genocide in Gaza, has emerged as

1900
01:41:03,800 --> 01:41:06,920
Speaker 2: a real moral litmus test in a lot of Democratic primaries.

1901
01:41:06,960 --> 01:41:09,360
Speaker 2: It was front and center in New York City, was

1902
01:41:09,400 --> 01:41:13,400
Speaker 2: front and center with Malakiros and her ability to defeat

1903
01:41:13,439 --> 01:41:17,160
Speaker 2: Diana to get in Colorado. Are you seeing is it

1904
01:41:17,160 --> 01:41:20,400
Speaker 2: a central question in your race as well? And where

1905
01:41:20,400 --> 01:41:23,840
Speaker 2: do your opponents in the Democratic primary stand on that.

1906
01:41:25,160 --> 01:41:27,559
Speaker 8: It has been a central question. I mean, I remember

1907
01:41:27,600 --> 01:41:30,400
Speaker 8: sitting in a meeting of the Clinton County Democratic Party

1908
01:41:30,479 --> 01:41:32,920
Speaker 8: last October when I was just getting into the race.

1909
01:41:33,160 --> 01:41:36,680
Speaker 8: This is a relatively rural county north of Lansing. Democratic

1910
01:41:36,760 --> 01:41:40,160
Speaker 8: Party activists mostly over the age of sixty five, many

1911
01:41:40,200 --> 01:41:43,479
Speaker 8: of them over the age of seventy five, and almost

1912
01:41:43,600 --> 01:41:49,639
Speaker 8: entirely white, deliberating in really good faith for like forty

1913
01:41:49,680 --> 01:41:53,320
Speaker 8: minutes about the language of a resolution to condemn the

1914
01:41:53,360 --> 01:41:58,040
Speaker 8: blockade on Gaza in defense of the Palestinian children who

1915
01:41:58,080 --> 01:42:00,920
Speaker 8: were starving there, and just really thinking about how do

1916
01:42:00,960 --> 01:42:05,840
Speaker 8: we adequately express the humanity of these children and the

1917
01:42:05,880 --> 01:42:09,080
Speaker 8: horror that we feel at our tax dollars being used

1918
01:42:09,120 --> 01:42:12,200
Speaker 8: to send bombs and supporting this government which is maintaining

1919
01:42:12,280 --> 01:42:14,840
Speaker 8: this blockade. And that was a real moment for me.

1920
01:42:14,880 --> 01:42:19,280
Speaker 8: I was like, wow, conversation has really changed because five

1921
01:42:19,400 --> 01:42:22,000
Speaker 8: you know, three years ago, you would have never ever

1922
01:42:22,120 --> 01:42:26,120
Speaker 8: ever heard that conversation in the Clinton County and now

1923
01:42:26,200 --> 01:42:28,680
Speaker 8: it was one hundred percent focused on how do we

1924
01:42:29,000 --> 01:42:31,519
Speaker 8: how do we express the humanity of these children and

1925
01:42:31,520 --> 01:42:33,519
Speaker 8: the horror that we feel at the crimes being committed

1926
01:42:33,560 --> 01:42:36,479
Speaker 8: in our name. So it's been like that, you know,

1927
01:42:36,760 --> 01:42:39,960
Speaker 8: since then. And it's true that the issue of gods

1928
01:42:40,000 --> 01:42:42,120
Speaker 8: in particular kind of I think faded from the public

1929
01:42:42,200 --> 01:42:45,320
Speaker 8: consciousness for a while, as so many other crises have

1930
01:42:45,400 --> 01:42:50,240
Speaker 8: come to the four. But now the outrageous and disastrous

1931
01:42:50,280 --> 01:42:53,920
Speaker 8: war in Iran which has started this spring, you know,

1932
01:42:54,040 --> 01:42:58,759
Speaker 8: had then brought the question of our entanglement with Israel,

1933
01:42:58,840 --> 01:43:02,960
Speaker 8: our alliance with the totally outrageous and aggressive Israeli foreign

1934
01:43:03,000 --> 01:43:05,360
Speaker 8: policy as we went into this war where iron together,

1935
01:43:05,600 --> 01:43:08,000
Speaker 8: and that is also you know, I think, brought Palestine

1936
01:43:08,240 --> 01:43:11,719
Speaker 8: back onto the forefront again. And my two opponents are

1937
01:43:12,280 --> 01:43:16,599
Speaker 8: hard pressed to even acknowledge the humanity of Palestinian people,

1938
01:43:16,640 --> 01:43:18,680
Speaker 8: they will not acknowledge it there as a genocide. We

1939
01:43:18,680 --> 01:43:20,920
Speaker 8: were asked that question straight up, yes or no at

1940
01:43:20,920 --> 01:43:23,200
Speaker 8: a forum, and the two of them talked around it

1941
01:43:23,600 --> 01:43:28,360
Speaker 8: for ninety seconds each without answering the question. Because you

1942
01:43:28,400 --> 01:43:31,160
Speaker 8: know they're working to leave the door open for support

1943
01:43:31,240 --> 01:43:32,559
Speaker 8: from Apak in their race.

1944
01:43:34,200 --> 01:43:38,760
Speaker 4: Well, well, yeah, the populist wing of the Democratic Party

1945
01:43:38,760 --> 01:43:42,600
Speaker 4: has always wanted kind of a people powered campaign with

1946
01:43:42,640 --> 01:43:45,840
Speaker 4: a moral center to be able to challenge a Republican

1947
01:43:45,920 --> 01:43:48,960
Speaker 4: incumbent and say no. This kind of politic can actually

1948
01:43:49,640 --> 01:43:52,040
Speaker 4: win in swing districts as well, so it looks like

1949
01:43:52,600 --> 01:43:54,599
Speaker 4: you may get a shot to do that in the general.

1950
01:43:54,640 --> 01:43:58,240
Speaker 4: We'll we'll keep following this race. But thank you for

1951
01:43:58,880 --> 01:44:01,160
Speaker 4: you know, taking some time on this on this Friday

1952
01:44:01,200 --> 01:44:01,760
Speaker 4: to join us.

1953
01:44:02,400 --> 01:44:04,559
Speaker 3: Yeah, and where can people find you? I'm sure this

1954
01:44:04,720 --> 01:44:07,719
Speaker 3: is probably definitely resonated with a large part of our audience.

1955
01:44:08,320 --> 01:44:10,400
Speaker 3: You're speaking their language. So if people want to learn

1956
01:44:10,400 --> 01:44:12,200
Speaker 3: more about you, where can they go to find out?

1957
01:44:12,880 --> 01:44:15,240
Speaker 8: You can go to we will twenty twenty six dot

1958
01:44:15,280 --> 01:44:18,400
Speaker 8: com and we will twenty twenty six on all social

1959
01:44:18,439 --> 01:44:20,080
Speaker 8: media platforms.

1960
01:44:20,640 --> 01:44:22,920
Speaker 3: All right, thank you very much. Will We'll keep tracking

1961
01:44:22,920 --> 01:44:23,320
Speaker 3: your race.

1962
01:44:23,800 --> 01:44:25,760
Speaker 14: Pleasure you much for having me love the show. It's

1963
01:44:25,760 --> 01:44:26,439
Speaker 14: a pleasure to be here.

1964
01:44:29,040 --> 01:44:31,519
Speaker 4: All right. That was Will Lawrence and the primary is

1965
01:44:31,560 --> 01:44:36,720
Speaker 4: going to be on August fourth in Michigan. Pretty impressive guy,

1966
01:44:37,160 --> 01:44:38,200
Speaker 4: you got what do you think, Crystal?

1967
01:44:38,760 --> 01:44:43,280
Speaker 2: Yeah, definitely very thoughtful, very thoughtful. So, and I think

1968
01:44:43,439 --> 01:44:46,240
Speaker 2: what he identifies is also very critical because the knock

1969
01:44:46,240 --> 01:44:47,920
Speaker 2: now is like, oh, you guys can win in New

1970
01:44:48,000 --> 01:44:51,720
Speaker 2: York City, maybe you can win in Denver, Colorado, young progressive,

1971
01:44:51,800 --> 01:44:54,400
Speaker 2: you know audience there. But I don't know the type

1972
01:44:54,400 --> 01:44:58,160
Speaker 2: of Melissa Slotkin district in mid Michigan. Don't know if

1973
01:44:58,160 --> 01:45:00,479
Speaker 2: you can pull that one off. So I think I

1974
01:45:00,479 --> 01:45:02,679
Speaker 2: think it is important test in that regard.

1975
01:45:03,080 --> 01:45:05,759
Speaker 5: Well, also to have I mean, Sunrise is hardcore stuff.

1976
01:45:05,800 --> 01:45:08,800
Speaker 5: To do that in Michigan, you know where the auto

1977
01:45:08,840 --> 01:45:13,160
Speaker 5: industry is historically psychologically so important.

1978
01:45:13,240 --> 01:45:14,639
Speaker 6: It's a pretty interesting experiment.

1979
01:45:15,400 --> 01:45:16,400
Speaker 4: Yeah, that'll be interesting.

1980
01:45:18,640 --> 01:45:20,719
Speaker 3: All right. Well let's end it with just a quick

1981
01:45:20,840 --> 01:45:24,920
Speaker 3: rapid fire Ama. Of course, for anyone who's a new Emily,

1982
01:45:24,960 --> 01:45:26,719
Speaker 3: I think I'm getting an echo from you right now.

1983
01:45:27,040 --> 01:45:29,920
Speaker 3: It's the freaking headphone switched or something.

1984
01:45:29,800 --> 01:45:32,759
Speaker 5: No, nothing switched to You're probably hearing the Battle Britain

1985
01:45:32,760 --> 01:45:33,439
Speaker 5: outside my window.

1986
01:45:33,640 --> 01:45:37,040
Speaker 3: The Battle of Britain. All right, let's do some rapid

1987
01:45:37,080 --> 01:45:39,920
Speaker 3: fire AMA questions. Of course, you can submit a written

1988
01:45:39,920 --> 01:45:43,320
Speaker 3: AMA question for the Fridays at the link in the emails.

1989
01:45:44,200 --> 01:45:48,200
Speaker 3: Let's start with Reggie Blader. What AI search engines would

1990
01:45:48,240 --> 01:45:51,080
Speaker 3: you guys recommend based on the safety and privacy? I

1991
01:45:51,120 --> 01:45:54,639
Speaker 3: am a casual user, but I cannot find good information

1992
01:45:54,680 --> 01:45:58,719
Speaker 3: online about which models do a good job of protecting data.

1993
01:45:58,760 --> 01:46:01,600
Speaker 3: As such, I don't don't know.

1994
01:46:01,680 --> 01:46:04,640
Speaker 2: The answer to that. To be honest with you, I

1995
01:46:04,640 --> 01:46:06,360
Speaker 2: guess I've given up on privacy.

1996
01:46:06,520 --> 01:46:07,479
Speaker 3: Is your data goodbye?

1997
01:46:08,200 --> 01:46:11,080
Speaker 2: Yeah? I mean I would be very cautious of the

1998
01:46:11,400 --> 01:46:15,000
Speaker 2: agentic capabilities. I'd be really cautious about giving them access

1999
01:46:15,040 --> 01:46:17,559
Speaker 2: to your email and your bank accounts and all the

2000
01:46:17,560 --> 01:46:19,920
Speaker 2: stuff that's on off or now. I'm not there yet

2001
01:46:20,080 --> 01:46:23,120
Speaker 2: in terms of turning them loose inside of that level

2002
01:46:23,120 --> 01:46:27,080
Speaker 2: of personal stuff. But yeah, to to ask, you know,

2003
01:46:27,240 --> 01:46:30,719
Speaker 2: query various things do data analysis and stuff. I personally

2004
01:46:31,000 --> 01:46:35,280
Speaker 2: am a CLAUD user. Yeah, wow, I'm personally a Claud user.

2005
01:46:35,320 --> 01:46:39,200
Speaker 2: I think their models are tend to be the best,

2006
01:46:39,240 --> 01:46:41,519
Speaker 2: the most effective. Grock tends to be the worst. In

2007
01:46:41,560 --> 01:46:45,200
Speaker 2: my opinion, But I would say Claude and chat GPT

2008
01:46:45,360 --> 01:46:47,880
Speaker 2: are kind of relatively on power in terms of their

2009
01:46:48,439 --> 01:46:49,440
Speaker 2: their effectiveness.

2010
01:46:50,920 --> 01:46:54,760
Speaker 3: Trust any right left turn? Question from Joseph D. What's

2011
01:46:54,760 --> 01:46:56,920
Speaker 3: the last movie that you saw at the movie theater?

2012
01:46:57,160 --> 01:46:59,960
Speaker 3: Anyone going to the theaters these days? The Minions Move

2013
01:47:00,000 --> 01:47:02,880
Speaker 3: movie is out this weekend. I'm excited to see the Minions.

2014
01:47:03,120 --> 01:47:07,840
Speaker 6: Yes, Sames, I saw the movie I saw.

2015
01:47:08,680 --> 01:47:11,559
Speaker 5: I saw the Peaky Blinders movie.

2016
01:47:11,760 --> 01:47:13,240
Speaker 6: That was the last one I saw on theaters.

2017
01:47:13,240 --> 01:47:15,320
Speaker 2: Probably the last one I saw in the theaters was

2018
01:47:16,000 --> 01:47:19,599
Speaker 2: Wicked too, the last time I went to the theaters.

2019
01:47:19,920 --> 01:47:20,679
Speaker 2: I think that's alright.

2020
01:47:21,600 --> 01:47:25,080
Speaker 4: So Goat with the kids? How is that?

2021
01:47:24,880 --> 01:47:24,960
Speaker 9: Oh?

2022
01:47:25,080 --> 01:47:29,520
Speaker 4: That's excellent? Loved it? What about you got that plays basketball?

2023
01:47:31,120 --> 01:47:36,200
Speaker 3: Classic formulation speaking of goat kind of goat related or

2024
01:47:36,240 --> 01:47:42,360
Speaker 3: a different animal. The Sheep Detectives is an incredible related films.

2025
01:47:43,960 --> 01:47:45,839
Speaker 2: It genuinely it lives up to the hype.

2026
01:47:46,160 --> 01:47:49,599
Speaker 3: It is great. It's fun for the whole family. I cried.

2027
01:47:49,840 --> 01:47:51,839
Speaker 3: It's very emotional, it's very funny.

2028
01:47:52,200 --> 01:47:52,320
Speaker 15: Uh.

2029
01:47:52,800 --> 01:47:55,439
Speaker 3: And it kind of harkens back to sort of a

2030
01:47:55,600 --> 01:47:58,400
Speaker 3: more nineties or like early two thousands kid film where

2031
01:47:58,400 --> 01:48:01,760
Speaker 3: there's some dark material and it's it's really it's really

2032
01:48:01,760 --> 01:48:06,280
Speaker 3: something for everyone. So I highly recommend the Sheep Detectives film,

2033
01:48:06,439 --> 01:48:09,400
Speaker 3: one of my favorite films that I've seen, uh this year.

2034
01:48:11,040 --> 01:48:15,800
Speaker 3: And then let's do one more, one more fun one here. This,

2035
01:48:15,880 --> 01:48:19,960
Speaker 3: of course, comes from frequent questioner Sabas one oh one

2036
01:48:20,720 --> 01:48:25,280
Speaker 3: Uh for the amazing BP with Trump's gay tendencies and behaviors,

2037
01:48:25,439 --> 01:48:28,719
Speaker 3: why haven't news outlets sent out only their best dressed

2038
01:48:28,760 --> 01:48:31,639
Speaker 3: and good looking men that bit Trump's type to get

2039
01:48:31,640 --> 01:48:34,840
Speaker 3: more honest answers? In an Ama months ago, Soccer said

2040
01:48:34,840 --> 01:48:37,200
Speaker 3: he wore his best suit for his Trump interview, and

2041
01:48:37,240 --> 01:48:38,599
Speaker 3: it proves that it works.

2042
01:48:38,880 --> 01:48:41,960
Speaker 6: Oh it does, No, it does?

2043
01:48:42,640 --> 01:48:43,280
Speaker 4: Now they should.

2044
01:48:43,400 --> 01:48:46,160
Speaker 2: Yeah, Ryan, how are you at drop site? How are

2045
01:48:46,160 --> 01:48:49,080
Speaker 2: you guys thinking about Trump's bisexual tendencies?

2046
01:48:49,360 --> 01:48:51,720
Speaker 4: Yeah, Julian gott to send Julian in there with a

2047
01:48:51,880 --> 01:48:53,479
Speaker 4: nice fitted suit.

2048
01:48:53,680 --> 01:48:56,160
Speaker 6: Oh, he would be so impressed with Julian.

2049
01:48:56,200 --> 01:48:56,679
Speaker 3: He would.

2050
01:48:58,080 --> 01:49:01,599
Speaker 4: Look how tall this guy? Julian would get all the questions.

2051
01:49:01,840 --> 01:49:03,599
Speaker 6: He would be like this guy, he's like Baron.

2052
01:49:05,080 --> 01:49:07,320
Speaker 2: I feel like he has a real reaction though to

2053
01:49:07,560 --> 01:49:11,320
Speaker 2: like the the uh. Uh sort of like tall, dark

2054
01:49:11,360 --> 01:49:11,959
Speaker 2: and handsome.

2055
01:49:12,360 --> 01:49:12,679
Speaker 3: Uh.

2056
01:49:12,720 --> 01:49:16,280
Speaker 2: He loved the Syrian. You know, Jeelani was all about him.

2057
01:49:16,320 --> 01:49:19,639
Speaker 2: Obviously loves Zoron, So I do feel like he has

2058
01:49:19,680 --> 01:49:21,280
Speaker 2: a has a type you.

2059
01:49:21,280 --> 01:49:24,960
Speaker 4: Guys have, Jolannie. Maybe you guys disagree. Joelani is not

2060
01:49:25,040 --> 01:49:25,519
Speaker 4: that hot.

2061
01:49:26,200 --> 01:49:28,080
Speaker 3: Look at this guy.

2062
01:49:28,479 --> 01:49:33,479
Speaker 14: I'm looking at him. I always wanted to look like that.

2063
01:49:33,560 --> 01:49:37,120
Speaker 15: I just didn't want to do the work.

2064
01:49:37,640 --> 01:49:39,479
Speaker 3: Would anyone stop? You look good?

2065
01:49:41,160 --> 01:49:47,880
Speaker 4: I love that accounting about that, Jane Joannie, Come on,

2066
01:49:48,120 --> 01:49:51,479
Speaker 4: is he's not He's not that hot. He's like, he's fine.

2067
01:49:52,840 --> 01:49:57,639
Speaker 4: But maybe that Trump loves that doesn't come across.

2068
01:49:59,040 --> 01:50:02,400
Speaker 2: I liked him. When the Iranian men's soccer team, there

2069
01:50:02,400 --> 01:50:05,120
Speaker 2: were like thirst traps for them all over the h

2070
01:50:05,800 --> 01:50:08,320
Speaker 2: all over the timeline, and it was around the time

2071
01:50:08,320 --> 01:50:10,960
Speaker 2: that the Memo of Understanding got signed and they were like,

2072
01:50:11,000 --> 01:50:13,080
Speaker 2: there you go. He saw that soccer team and was

2073
01:50:13,160 --> 01:50:16,000
Speaker 2: like big stown guys, give him whatever they want.

2074
01:50:16,720 --> 01:50:21,000
Speaker 5: Or what he was talking about the LCC Egyptian president

2075
01:50:21,040 --> 01:50:23,599
Speaker 5: and he was like did remember this one?

2076
01:50:23,680 --> 01:50:23,880
Speaker 6: Yes?

2077
01:50:23,960 --> 01:50:24,280
Speaker 3: Of course.

2078
01:50:24,280 --> 01:50:27,040
Speaker 2: He was like in the hotel much longer than we

2079
01:50:27,040 --> 01:50:27,680
Speaker 2: were supposed to.

2080
01:50:29,520 --> 01:50:34,200
Speaker 6: A pot of Sarah Marshall. Sarah Marshall is so good.

2081
01:50:34,520 --> 01:50:37,240
Speaker 3: He also just likes men Yeah, he likes men in

2082
01:50:37,280 --> 01:50:40,240
Speaker 3: all types of uniforms. He loves sailors. So I think

2083
01:50:40,240 --> 01:50:42,559
Speaker 3: we should dress Julian up in a little sailor outfit.

2084
01:50:42,680 --> 01:50:45,679
Speaker 3: And then I think, there you go. I think he'll say,

2085
01:50:45,720 --> 01:50:49,640
Speaker 3: clear the room, just one on one interview, take him,

2086
01:50:49,640 --> 01:50:51,160
Speaker 3: take Julian back to a hotel room.

2087
01:50:51,880 --> 01:50:55,360
Speaker 2: Yeah, I mean he also he loves musicals. You know,

2088
01:50:55,520 --> 01:50:58,280
Speaker 2: there's just a there's a lot there, There's a lot theretics.

2089
01:50:58,320 --> 01:51:01,599
Speaker 5: He loves riding around in his golf cart that's been

2090
01:51:01,640 --> 01:51:05,040
Speaker 5: tricked out with speakers. He has it connected to his iPad,

2091
01:51:05,040 --> 01:51:07,920
Speaker 5: which has his personal Spotify account on it, and then

2092
01:51:07,960 --> 01:51:10,759
Speaker 5: he will bump his show tunes as he rides around

2093
01:51:10,760 --> 01:51:12,719
Speaker 5: in the golf cart tricked out with Pat DJ.

2094
01:51:13,320 --> 01:51:15,280
Speaker 2: It's a hantim of the opera Cats.

2095
01:51:15,320 --> 01:51:16,800
Speaker 7: Aren't those some of his favorites?

2096
01:51:16,920 --> 01:51:18,519
Speaker 6: Yeah, there's nothing like it.

2097
01:51:18,680 --> 01:51:21,080
Speaker 5: Yeah, there was a day last fall I was walking

2098
01:51:21,080 --> 01:51:22,760
Speaker 5: around I had pool duty. I was walking around the

2099
01:51:22,760 --> 01:51:24,880
Speaker 5: White House outside and you could just gently hear in

2100
01:51:24,920 --> 01:51:28,680
Speaker 5: the background show tunes blaring from the speakers.

2101
01:51:30,080 --> 01:51:32,920
Speaker 3: Trump share the marrow Lago playlist for everyone's Fourth of

2102
01:51:33,000 --> 01:51:37,000
Speaker 3: July barbecue. We can all have a great American time.

2103
01:51:37,200 --> 01:51:38,519
Speaker 3: But that's going to do it for us for this

2104
01:51:38,680 --> 01:51:41,880
Speaker 3: Friday show, extra jam packed with lots of stuff. We

2105
01:51:41,960 --> 01:51:44,120
Speaker 3: hope you all have a really wonderful weekend, and we

2106
01:51:44,160 --> 01:51:46,720
Speaker 3: hope you've been enjoying the newsletter. Now. I know that

2107
01:51:46,720 --> 01:51:48,639
Speaker 3: there's been some people that have been having trouble getting

2108
01:51:48,640 --> 01:51:51,120
Speaker 3: the new newsletter email, So make sure to check your

2109
01:51:51,160 --> 01:51:55,040
Speaker 3: promo or spam folders for breaking points, because I know

2110
01:51:55,080 --> 01:51:57,280
Speaker 3: it's getting shorted in there. I have some data that

2111
01:51:57,360 --> 01:52:00,479
Speaker 3: I think we're at like ninety nine percent to live rerate,

2112
01:52:00,560 --> 01:52:03,880
Speaker 3: so it's hitting your inboxes somewhere. Check your spam or

2113
01:52:03,920 --> 01:52:06,680
Speaker 3: promo folders, and if you're still having issues, if you

2114
01:52:06,680 --> 01:52:10,759
Speaker 3: want to email help at kit dot com. That's help

2115
01:52:11,120 --> 01:52:14,360
Speaker 3: at kit dot com. They will make sure that newsletter

2116
01:52:14,680 --> 01:52:17,280
Speaker 3: is landing in the right place. And that's going to

2117
01:52:17,360 --> 01:52:18,920
Speaker 3: do it for us. Anyone else got any think I

2118
01:52:18,920 --> 01:52:20,360
Speaker 3: wants to plug before we get out of here.

2119
01:52:21,000 --> 01:52:23,680
Speaker 2: Happy fourth of July. Everybody stay safe out there in

2120
01:52:23,720 --> 01:52:26,519
Speaker 2: the heat. And I will be at the beach next week,

2121
01:52:26,720 --> 01:52:29,320
Speaker 2: so I will see you guys a week from now.

2122
01:52:29,479 --> 01:52:31,960
Speaker 2: Sago'll be back next week though, so and Ryan and

2123
01:52:31,960 --> 01:52:36,040
Speaker 2: Emily of course always all right, Emily is always picking

2124
01:52:36,080 --> 01:52:37,400
Speaker 2: up the slack for everybody else.

2125
01:52:41,920 --> 01:52:54,320
Speaker 3: All right, we'll see you then. Bye bye, everybody.