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Speaker 1: Hello, They're happy Thursday, and welcome to day two of

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Speaker 1: the government shut down. I don't have a ton to

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Speaker 1: add from what I've been talking about over the last

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Speaker 1: two episodes. I am going to continue on my hobby horse.

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Speaker 1: There is there's nothing that this should not be the

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Speaker 1: idea that just funding just stops, that somehow parts of

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Speaker 1: the government just stop working based on this, And it's

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Speaker 1: a it's a slow, obviously trickle the way this is done,

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Speaker 1: and they've done so many carved outs so that you know,

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Speaker 1: the most sensitive constituency groups aren't really impacted at all

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Speaker 1: on this. It is this is just dumb, and we

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Speaker 1: all know it's dumb, and everybody involved knows it's dumb,

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Speaker 1: and the lawmakers involved know that this is this. This

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Speaker 1: isn't how the system should work, and it doesn't have

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Speaker 1: to work this way. Elected politicians have made a choice

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Speaker 1: to have extra moments of drama where there shouldn't be any.

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Speaker 1: And as taxpayers, I don't even understand how this is legal.

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Speaker 1: I understand there was a legal interpretation of how annual

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Speaker 1: funding works that all of this has sort of created

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Speaker 1: this idea that somehow funding stops. On September thirtieth, and

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Speaker 1: a government agency ceases to function. It is ridiculous for

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Speaker 1: the world's number one, supposedly number one superpower to behave

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Speaker 1: this way. And the fact that we're going to have

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Speaker 1: air traffic controllers, we expect them to come to work

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Speaker 1: and just be on promised back pay. Right, that's the

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Speaker 1: part of this shutdown that is probably going to speed

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Speaker 1: things up. And if you recall, and in fact, you know,

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Speaker 1: the fastest way this shutdown ends is probably if we

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Speaker 1: have a repeat of what happened during the twenty eighteen shutdown,

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Speaker 1: because and it was my friends of Politico pointed this

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Speaker 1: out earlier on Wednesday. During the at thirty five day

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Speaker 1: twenty nineteen shutdown twenty eighteen through twenty nineteen, there were

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Speaker 1: a record number of TSA agents who called out sick.

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Speaker 1: And it was it was over Martin Luther King weekend

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Speaker 1: that you saw the surge. You had ten percent of

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Speaker 1: airport screeners missing work, you had ten air traffic controllers

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Speaker 1: had to temporary shut down. They shut down Laguardie Airport

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Speaker 1: because they were missing so many air traffic controllers. Because basically,

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Speaker 1: once you hit a certain point in the shutdown, you've

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Speaker 1: like literally missed paychecks. Yes, you're going to get the

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Speaker 1: back pay, but do you know who doesn't take an

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Speaker 1: iou your bank? Okay, when you pay your mortgage, you

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Speaker 1: know the electric company doesn't take the io you no, no, no,

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Speaker 1: I've got to pay. It's common. But you know, can

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Speaker 1: you wait? You know, you know, you know, you go

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Speaker 1: ahead and try it, right, we all know that that

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Speaker 1: doesn't work that way. And then so the one way, right,

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Speaker 1: the entity that has the most leverage to force everybody

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Speaker 1: to just reopen the government quickly would actually be TSA

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Speaker 1: agents and air traffic controllers. That was the one thing

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Speaker 1: that did it the last time because essentially they didn't

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Speaker 1: want to have to risk doing their job without getting

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Speaker 1: paid and all that stuff, so they had sick days,

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Speaker 1: they called in sick. All right, I'm not you know,

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Speaker 1: doing it this way. That's what arguably forced some action

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Speaker 1: the last time. So if you're looking for an outside

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Speaker 1: way that you would force a quick sit down there

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Speaker 1: stat what we've seen over the last twenty four hours

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Speaker 1: is is I actually think you know, I know, on

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Speaker 1: Wednesday I said, I don't know how this ends. It's

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Speaker 1: not an obvious exit ramp. I actually think you're starting

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Speaker 1: to see, I think this is more likely this ends

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Speaker 1: by the end of the end of next week, and

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Speaker 1: I will be shocked if we go into a second

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Speaker 1: weekend of this government shutdown. First of all, there's already

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Speaker 1: three Democrats who were willing to vote for the clean

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Speaker 1: cr You saw that with Angus King, Captain Cortez Master,

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Speaker 1: and Fetterman. So that's three in theory, you just need

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Speaker 1: four more. Well, who's sitting out there the Senate retirees

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Speaker 1: Jean Shaheen out of New Hampshire, Gary Peters out of Michigan,

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Speaker 1: Tina Smith out of Minnesota, Dick Durbin out of Illinois. Right,

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Speaker 1: those you know, don't have to worry about the voters,

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Speaker 1: don't have to worry about a progressive base. They're done

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Speaker 1: with politics. So you know, that's the next four. Who

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Speaker 1: could he said, now Durbin sort of quasi member. I say,

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Speaker 1: quasi member of leadership, but that it's always been the

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Speaker 1: Schumer show. Durbin really doesn't have the same amount of

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Speaker 1: influence that maybe he should have, but he doesn't and

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Speaker 1: hasn't with Schumer there. So the fact that they are

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Speaker 1: already three when Angus King and Cortez Master, they already

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Speaker 1: knew Feterman was going to get there, So you have that,

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Speaker 1: I think you have. I think the fact that the

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Speaker 1: Vice President Jade Vance very significant thing that he threw

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Speaker 1: out there. He said, I'm more than willing to negotiate

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Speaker 1: over these Obamacare subsidies. I think that they we should

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Speaker 1: talk about it, but I don't want to negotiate until

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Speaker 1: we reopen the government. I've seen this movie before when

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Speaker 1: the shoes were on the other foot, where Democrats concede

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Speaker 1: to a point that the Republicans wanted, but said, We're

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Speaker 1: not going to negotiate until you agree to reopen the government.

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Speaker 1: You know, essentially, you know, in hostage negotiations, will negotiate

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Speaker 1: to a point, but we're not going to consider, you know,

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Speaker 1: until you release somebody, until you release something. In this case,

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Speaker 1: the releasing is the votes on the government. So my

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Speaker 1: point is is that, well, yesterday it was hard to

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Speaker 1: envision what the exit ramp looks like. It actually is

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Speaker 1: pretty easy. You're going to go through the weekend. It's

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Speaker 1: going to make everybody, perhaps those that wanted this fight

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Speaker 1: now maybe it makes them feel better. The one upside,

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Speaker 1: I think Democrats can already say that they've gotten out

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Speaker 1: of this is that they've elevated this healthcare issue which

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Speaker 1: had not gotten any traction in sort of the free

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Speaker 1: media space. Right, it hadn't really been able to break through.

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Speaker 1: It's very hard for any subject to break through most

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Speaker 1: days in Washington in the Trump era. This one had

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Speaker 1: had a hard time breaking through. So if you want

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Speaker 1: to make yourself feel better on the left that this

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Speaker 1: has been you know that this is that there's a

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Speaker 1: dividend that might come from this. That's the one obvious dividend.

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Speaker 1: But I want to associate myself with something Matt Iglesias

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Speaker 1: wrote today in his substack, and I thought it was

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Speaker 1: a really good. First of all, he he and he

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Speaker 1: he was associated himself with with an argument that Brian

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Speaker 1: Butler was making, which is that what this showdown should

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Speaker 1: be about between the two parties is the fact that

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Speaker 1: Republicans are not taking the idea of recisions, the sort

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Speaker 1: of taking back spending, essentially just clawing back money that

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Speaker 1: was agreed to in the budget. It takes sixty votes

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Speaker 1: to get the budget passed, but it only takes fifty

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Speaker 1: votes on a party line vote thanks to new rules

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Speaker 1: changes by John Thune to rescind some spending so in theory,

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Speaker 1: right Republicans can agree to some democratic demands and then

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Speaker 1: go back and on our party line vote essentially welch

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Speaker 1: on the deal. And what you learn Iglesias are arguing

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Speaker 1: is like you know that that that that is a

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Speaker 1: reason to say no, I don't we don't trust you

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Speaker 1: to negotiate fairly since you know you want our votes

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Speaker 1: for sixty today and then you cut us short here. Essentially,

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Speaker 1: they're of the mindset and Iglesias has always been a

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Speaker 1: proponent of getting rid of the filibuster. And I was

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Speaker 1: telling you yesterday that, you know, one of the interesting

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Speaker 1: unintended consequences of this could be because if Republicans really

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Speaker 1: want to open the government today, they can open the

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Speaker 1: government right now. They can open the government yesterday. All

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Speaker 1: they have to do is get rid of the filibuster,

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Speaker 1: and then they only need fifty votes. And you know

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Speaker 1: that that would be a fascinating development. Suddenly you wouldn't

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Speaker 1: have a filibuster and the Senate would be working on

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Speaker 1: a fifty vote. And there's certainly plenty of folks on

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Speaker 1: the left who would like to see that, And there

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Speaker 1: are proponents of getting rid of the filibuster on the right.

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Speaker 1: Living in this polarized world, the ability to get sixty

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Speaker 1: votes these days is very difficult. Now, someone like me

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Speaker 1: thinks Acts of Congress, actually the passage, it should be hard,

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Speaker 1: and it should be you know, it should be sixty

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Speaker 1: five votes, and I argue in judges it should be

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Speaker 1: seventy five votes. And why do I argue on judges

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Speaker 1: that it should be seventy five votes, because then you

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Speaker 1: have to dominate people that have to get at least

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Speaker 1: twenty five votes from the other side, which means you're

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Speaker 1: going to have more neutral arbiters, You're going to have

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Speaker 1: more umpire like judges rather than ideologue like judges in

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Speaker 1: that So, whatever you do with the vote, right, you know,

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Speaker 1: you become what the what the vote will allow in

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Speaker 1: this case. Right. So I think it's an interesting scenario

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Speaker 1: that we could see happen. But the bottom line is,

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Speaker 1: when you start to sort of read these tea leaves,

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Speaker 1: you've got jd. Vance already publicly agreeing to negotiate on

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Speaker 1: the Obamacare subsidies, which to me means you technically got

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Speaker 1: what you wanted, right if the whole point was to

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Speaker 1: get that on the table now right now, the Schumer

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Speaker 1: ask is for it these subsidies to be included in

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Speaker 1: whatever agreement is there to essentially open up the government

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Speaker 1: for the next six weeks through November. But I could

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Speaker 1: argue that by Vance agreeing to that, well okay, and

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Speaker 1: you kind of have a safety net here. And this

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Speaker 1: goes back to the tactical decision to sort of make

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Speaker 1: the make the make your shutdown demands happen now, or

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Speaker 1: take the six weeks, which I think was a gift,

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Speaker 1: and then you sort of have your showdown over healthcare

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Speaker 1: subsidies in November. You sort of get clear of the

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Speaker 1: twenty twenty five elections because look, I'm mostly confident that

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Speaker 1: this isn't going to impact the Virginia governor's race that much.

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Speaker 1: But the government shutdown at twenty thirteen essentially got Terry

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Speaker 1: mcculliff elected. That was an election. It's the only time

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Speaker 1: since the seventies where the Party of the White House

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Speaker 1: won the Virginia governor's race. Is the one time there

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Speaker 1: was a government shutdown essentially in the month before the

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Speaker 1: general election in Virginia governor. So you know, in theory,

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Speaker 1: the only thing that could derail Spanburger is if somehow

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Speaker 1: federal workers did blame the Democrats for the shutdown more

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Speaker 1: than they blamed the Republicans. Now, I don't think in

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Speaker 1: Virginia the federal workers are going to be blaming the

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Speaker 1: Democrats more than the Republicans. It's fascinating to watch Republicans

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Speaker 1: and the federal government essentially use the shutdown and proclaim

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Speaker 1: and not use neutral language in announcing the shutdown and

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Speaker 1: the furloughs and essentially saying President Trump wants the government

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Speaker 1: to be open and Democrats don't. I know, we're no

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Speaker 1: longer you know, we're numb to sort of how much

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Speaker 1: Trump has politicized every aspect of governance, right from the

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Speaker 1: military earlier this week, to the Justice Department with the

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Speaker 1: Komi business to now the government shutdown. I mean it

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Speaker 1: is now. It is now just sort of the norm

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Speaker 1: for this administration to politicize everything. In fact, a few

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Speaker 1: hours before recording this, Russell Void, the budget director for

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Speaker 1: Donald Trump. He's been sort of every couple of hours

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Speaker 1: announcing some cut or some recision or some you know,

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Speaker 1: funding stoppage or some furlough that is specifically targeted democratic interests. So,

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Speaker 1: for instance, he put this tweet out nearly eight billion

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Speaker 1: dollars in green news scam funding to fuel the less

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Speaker 1: climate agenda is being canceled. More info to come from

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Speaker 1: the Energy Department, And he's said, and the projects are

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Speaker 1: targeting the following states California, Colorado, Connecticut, Delaware, Hawaii, Illinois, Maryland, Massachusetts, Minnesota,

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Speaker 1: New Hampshire, New Jersey, New Mexico, New York, Oregon, Vermont,

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Speaker 1: and Washington. Do you know what all those states have

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Speaker 1: in common? Says the host with the rhetorical question, knowing

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Speaker 1: his audience can't say. I can't hear your answer as

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Speaker 1: I'm asking you the rhetorical question. But if the answer

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Speaker 1: was they all voted for Kamala Harrison the presidential election,

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Speaker 1: you were right. They are systematically only targeting Democratic constituents

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Speaker 1: democratic states. Earlier in the day, he pulled some funding

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Speaker 1: for some New York City projects. Who are the two

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Speaker 1: What where are Chuck Schumer and AKEM. Jeffries from? Oh right,

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Speaker 1: they're New York City elected officials. There's a very, i

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Speaker 1: mean extraordinarily partisan nature. You know again, you know, you

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Speaker 1: do the whole game. If Obama did this, the outrage,

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Speaker 1: you know, he doesn't he how come he doesn't govern

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Speaker 1: for everybody. Donald Trump does not govern for the entire

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Speaker 1: American people. In fact, he went to the crazy, bizarre, Uh,

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Speaker 1: I guess, I guess want to be ted talk. They

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Speaker 1: want to be pete talk what should we call it?

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Speaker 1: Right where they were thumping their chest trying to lecture

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Speaker 1: career military men that they're somehow too fat to do

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Speaker 1: their jobs. They sort of bragged that this is how

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Speaker 1: you know, this is good, this sort of governing, and

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Speaker 1: he sort of declared declared anybody that's a critic of

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Speaker 1: him sort of an enemy of the state and all

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Speaker 1: of that business. And again, I know we're numb to this.

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Speaker 1: And again I know yesterday I was talking about you

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Speaker 1: can't get sort of so focused on Trump that you

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Speaker 1: sort of lose the longer effort of going to talk

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Speaker 1: to people that did vote for him for president. And

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Speaker 1: I do think you have to strike that balance. And

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Speaker 1: it gets to sort of the larger point I want

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Speaker 1: to make today and about what Democrats have given up

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Speaker 1: over the last three months. There's a couple of ways

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Speaker 1: you can look at the last ten years of Democratic

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Speaker 1: performance and when I basically mean, you know, ever since

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Speaker 1: the post Obama era, right where they've been in some

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Speaker 1: ways writing on the fumes of the Obama coalition. Have

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Speaker 1: Democrats been competitive because of how big the Obama coalition

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Speaker 1: and it was just slowly eroding away and it's kept

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Speaker 1: them competitive? Or are they overperforming because there's a group

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Speaker 1: of voters who don't agree with the Democratic ideas but

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Speaker 1: believe the Democrats are the adult in the room, while

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Speaker 1: Donald Trump and his version of the Republican Party are

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Speaker 1: the idiot teenagers and they're kind of unruly and they

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Speaker 1: can't be trusted. And I think this is one of

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Speaker 1: those tough things to measure, But I can only speak

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Speaker 1: from my prism and my point of view and the

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Speaker 1: conversations that I've had with a lot of swing voters

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Speaker 1: over the years and a lot of the independence over

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Speaker 1: the last few years, and that is Democrats would win

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Speaker 1: over a lot of these sort of center right voters

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Speaker 1: because they were not they were not being the idiots,

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Speaker 1: they were not sort of being intentionally political just to

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Speaker 1: make a point at the expense of just keeping the

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Speaker 1: lights on for the government. And over the last few months,

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Speaker 1: and it's something and we've been tracking and I've been

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Speaker 1: talking about this a lot more and more of the

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Speaker 1: mindset of particularly, I think the more activist wing of

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Speaker 1: the Democratic Party has been like, why should we keep

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Speaker 1: playing by the rules. We never benefit from playing by

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Speaker 1: the rules. Those guys lie, cheat, and steal, and all

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Speaker 1: they do is get more power. Why should we continue

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Speaker 1: to try to be the adult in the room. It

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Speaker 1: gets us nothing. Now I'm not saying that that is

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Speaker 1: the full mindset, but I told you insaid of a

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Speaker 1: progressive source of mind was sort of lamenting. I want

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Speaker 1: my own Trump who just sort of bulldozes his way

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Speaker 1: and just says, no, we're doing it this way and

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Speaker 1: screw you guys, and etcetera, etcetera. I'm tired of, you know,

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Speaker 1: trying to do this quote unquote, you know brick by brick,

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Speaker 1: you know, elected office by elected office, and it is

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Speaker 1: I look, I get it right, when you're out of

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Speaker 1: power and you feel like and especially the absurdity, you're

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Speaker 1: just like it. You know, I continue, I always have

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Speaker 1: the flashback and this is goes back along way. So

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Speaker 1: apologies to my younger viewers and listeners out there, but

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Speaker 1: one of the great SNL skits of the nineteen eighty

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Speaker 1: eight race was when John Lovett was playing Michael Ducacas

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Speaker 1: and Dana Carvey was doing Bush, and Dana Carvey was

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Speaker 1: sort of like doing you know all this all these

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Speaker 1: you know, his crazy imitation of Bush and all this stuff,

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Speaker 1: and do Caucus. At one point, I can't believe I'm

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Speaker 1: losing to this guy. And that's the mindset I think

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Speaker 1: of a lot of Democratic based voters. We're just like,

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Speaker 1: what is happening? Like I can't believe the public is

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Speaker 1: buying this garbage, right, and there's no doubt. I think

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Speaker 1: there's a lot of us to sit there and you're like,

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Speaker 1: you can't believe me. I have an old friend of

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Speaker 1: mine who's not a political guy at all, but he

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Speaker 1: basically he's one of my best friends from high school.

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Speaker 1: He'll text me about every couple of weeks and he'll

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Speaker 1: simply and he's texted me this a few times. He goes,

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Speaker 1: what in the world is going on with these people?

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Speaker 1: Are they all insane? Then there like you let you know,

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Speaker 1: and he's referring to just all political people. He's not

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Speaker 1: a political guy, and it's it's this group of people

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Speaker 1: who I think Democrats risk disqualifying themselves from them too

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Speaker 1: if they're not careful. Right, they've been the adult party right,

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Speaker 1: you know, as Donald Trump acts like an idiot, as

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Speaker 1: Pete haig Seth embarrasses the military, there was a sense that,

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Speaker 1: you know, the Democrats were going to be the grown ups.

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Speaker 1: They're not going to shut the government down. Whatever you

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Speaker 1: think of the Republican budget, the Republican proposal of a

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Speaker 1: clean continuing resolution for another six weeks was actually a

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Speaker 1: very reasonable proposal. And just like you know, you know

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Speaker 1: the problem that Democrats have is that there's there's always

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Speaker 1: a Chuck Schumer quote. And so while he's trying to

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Speaker 1: be defiant in this moment, there's a quote that isn't

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Speaker 1: that old where he says, I can't believe Republicans won't

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Speaker 1: pass a clean cr There never should be government shutdowns,

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Speaker 1: et cetera, et cetera. Right, And I say this more

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Speaker 1: as an open question. I'm not going to say it definitively.

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Speaker 1: Politics is more binary in this country than it ever

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Speaker 1: has been before. Do I believe there's an appetite for

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Speaker 1: something new and different. I do. But until there's an

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Speaker 1: organized version of something new and different, you know you're

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Speaker 1: going to have most people pick between the least bad

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Speaker 1: options in their head. But when it comes to things

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Speaker 1: like redistricting, not forget it. Instead of having fair districts,

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Speaker 1: we're just we're going to have partisan districts. Our way.

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Speaker 1: If you guys are going to do it your way,

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Speaker 1: then fine, we'll do it our way. If you're going

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Speaker 1: to play hardball, We're going to play hardball. The adult

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Speaker 1: in the room. Constituency may only be three to five points,

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Speaker 1: but I might argue it's the three to five points

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Speaker 1: that have kept Democrats in the game. And what happens

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Speaker 1: when you lose those three to five points if what

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Speaker 1: you're if, especially if what you're selling ideologically doesn't play

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Speaker 1: well with these voters. Many of them, I think, have

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Speaker 1: held their nose and supported Democrats, who they might believe

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Speaker 1: are a bit a bit too liberal for them because

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Speaker 1: they were going to be the responsible party. Again, I

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Speaker 1: get it. You've lost two elections to Donald Trump proposed

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Speaker 1: to me, to two nominees who projected themselves as the

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Speaker 1: grown up in the race, and it didn't. It didn't

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Speaker 1: quote win went over enough voter. So I understand why

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Speaker 1: some who may be listening to this going, hey, we've

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Speaker 1: tried to play fair. Playing fair has only got gotten

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Speaker 1: us to where we are today. So I understand the frustration,

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Speaker 1: but I it's tough to get it back right and

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Speaker 1: you're getting this is a lot of political capital to

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Speaker 1: spend with that group of voters for a tiny amount

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Speaker 1: of political capital. Schumer thinks he's gaining with the progressive

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Speaker 1: base that I don't think it will be capital that

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Speaker 1: he'll be able to bank. I think it will go

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Speaker 1: away as fast as he gets it. It's going to

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Speaker 1: be hard to get the adult in the room numbers

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Speaker 1: back right away. Sure, Donald Trump will do something grotesque

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Speaker 1: in some form or another to certainly put that up

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Speaker 1: for grabs. But it's just something to file away and

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Speaker 1: think about. I mean, especially when we've seen just you know,

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Speaker 1: just some egregious behavior by the president over the last week,

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Speaker 1: and I know we're so numb to it, right, so

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Speaker 1: numb to it, you know, with this crazy AI retweets

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Speaker 1: that just blatantly racist attack on Akeem Jeffries and it

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Speaker 1: was just a shrug. And then you know when I

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Speaker 1: go to this whole adult in the room thing, because

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Speaker 1: it really does sort of frustrate me. Look, I miss

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Speaker 1: having fun with politics. I talk about this all the

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Speaker 1: time with a lot of my longtime colleagues. You know,

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Speaker 1: I know, I've been accused in the past of gamifying

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Speaker 1: politics back in the pre Obama, in the pre Trump era.

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Speaker 1: I never saw it as a game, but I also

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Speaker 1: saw it as these were two parties that sort of

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Speaker 1: were at least honorable at the end of the day,

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Speaker 1: and there was sort of there was honor among thieves. Well,

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Speaker 1: that's completely out the door, right, we know this, it's

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Speaker 1: completely out the door. We're in a different space. We

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Speaker 1: have a broken information ecosystem and it has broken our Congress.

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Speaker 1: We've broken our political infrastructure, and we are in the

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Speaker 1: midst of a political recession that I think is now

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Speaker 1: a crisis. And you could argue we're in a political depression.

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Speaker 1: You know, we've talked about economic recessions and economic depressions.

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Speaker 1: This is a political depression that we're in. Right. We

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Speaker 1: have a we have a non functioning you know, we

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Speaker 1: have a it's not non functioning. We have a barely

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Speaker 1: functioning small d democratic government right now. Right, it's it's

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Speaker 1: you know, we can't get budgets done on time, court

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Speaker 1: rulings get ignored. We have a lot of acting this

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Speaker 1: and acting that. So it's like a it's it's not

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Speaker 1: a fully functioning political system that's very healthy at the moment.

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Speaker 1: So we are definitely gone, I think, from recession to

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Speaker 1: depression if you're using economic words to do that. But

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Speaker 1: the stupid stuff like the Trump twenty eight twenty eight

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Speaker 1: hats to make sure that it was there for their

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Speaker 1: social media posts so they could could show the MAGA

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Speaker 1: forces online that they were shit posting the Democratic leaders.

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Speaker 1: It's just classless, right, And there's this entire infusion of

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Speaker 1: classless behavior, right Pete hagg Sat this is almost the

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Speaker 1: poster child of this classlessness at times, right, especially when

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Speaker 1: he pretends to want like decorum and you're like, really you,

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Speaker 1: you know you, you more than anybody else, have not

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Speaker 1: really modeled the best behavior, but okay on that front.

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Speaker 1: But it's just sort of the stupid teenage stuff, the

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Speaker 1: stupid childless pranks, the silly memes and all of this stuff.

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Speaker 1: It is. It's obnoxious. It really does drive the normies

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Speaker 1: away from paying attention. It is total eye roll. And unfortunately,

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Speaker 1: I do think many on the left has said, well,

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Speaker 1: I guess this is what works. Screw it, And you know,

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Speaker 1: it goes back to I don't think if you're going

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Speaker 1: to try to if the whole. You can't beat them,

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Speaker 1: join them. Just remember this, there's no line Trump won't cross.

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Speaker 1: I know there are lines, no matter how much lower

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Speaker 1: you think you're willing to go, I know there are

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Speaker 1: lines the Left won't cross, and Trump will cross them.

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Speaker 1: Maga will always cross them. They will always go much further.

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Speaker 1: And then all of a sudden, you know, it's just

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Speaker 1: like the metaphor, don't get into a mud fight with

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Speaker 1: a pig because you're gonna both gonna get dirty, and

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Speaker 1: the pig's gonna enjoy it. And I do think it's

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Speaker 1: a it's it's look. I sort of blame this crassness.

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Speaker 1: I know this is a weird disconnect, but I applaud

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Speaker 1: Tom Watson for apologizing for the behavior of the American

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Speaker 1: golf fans at the Ryder Cup when he said, I'd

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Speaker 1: like to apologize for the root and mean spirited behavior

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Speaker 1: from our American crowd at beth Page. As a former

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Speaker 1: player captain and as an American, I'm ashamed of what happened.

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Speaker 1: Here's the thing. Who's the America's role model for public

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Speaker 1: behavior these days? It's always the President of the United States.

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Speaker 1: In many ways, the president of the United States both

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Speaker 1: sets culture and can be emblematic of our culture. At

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Speaker 1: the moment, our culture is course right now, our culture

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Speaker 1: is rude. Our culture is crass, and the and the

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00:26:21,760 --> 00:26:24,520
Speaker 1: and the leading figure in our culture is Donald Trump.

428
00:26:25,760 --> 00:26:30,320
Speaker 1: And what's interesting I saw I was in a at

429
00:26:30,359 --> 00:26:33,280
Speaker 1: a at an event where Tom Watson was one of

430
00:26:33,280 --> 00:26:37,440
Speaker 1: the speakers, and he's any and he and he made

431
00:26:37,440 --> 00:26:40,920
Speaker 1: a nice plea. He was very close friends with Russelamo,

432
00:26:41,920 --> 00:26:44,399
Speaker 1: and he made a nice plea for like, Hey, you

433
00:26:44,440 --> 00:26:47,920
Speaker 1: know there's some things I don't you know, like about

434
00:26:47,920 --> 00:26:49,959
Speaker 1: Trump's behavior, but you know, I do think we need

435
00:26:50,000 --> 00:26:53,479
Speaker 1: to figure out how to unify better. But you know,

436
00:26:53,520 --> 00:26:56,680
Speaker 1: those are always the head scratchers. To me, I think

437
00:26:56,720 --> 00:26:59,360
Speaker 1: of Tom Watson as a high character guy. I do.

438
00:27:00,440 --> 00:27:03,240
Speaker 1: He was my guy growing up. I wasn't a Nicholas fan.

439
00:27:03,280 --> 00:27:05,840
Speaker 1: I was a Watson guy. You know, my dad wasn't

440
00:27:05,840 --> 00:27:08,879
Speaker 1: a Nicholas fan. So we were Watson people. Watson was

441
00:27:08,880 --> 00:27:11,600
Speaker 1: a Midwesterner. I think that's what my no. Ohio is

442
00:27:11,640 --> 00:27:15,439
Speaker 1: not the Midwest for you, ohioans. Ohioans Ohio is its

443
00:27:15,480 --> 00:27:19,640
Speaker 1: own thing. It's not the East Coast, it's not the Midwest.

444
00:27:19,840 --> 00:27:22,520
Speaker 1: And I'll and i'll fight you on that. I'm happy

445
00:27:22,560 --> 00:27:25,520
Speaker 1: to fight you on that. John Kasik, I have kid

446
00:27:25,960 --> 00:27:28,160
Speaker 1: Kasik might kick my butt. He's pretty in shape dude

447
00:27:28,800 --> 00:27:32,920
Speaker 1: for that. But in all seriousness, there are some good,

448
00:27:33,000 --> 00:27:36,280
Speaker 1: high character people that find them that find themselves very

449
00:27:36,320 --> 00:27:39,119
Speaker 1: supportive of Trump sometimes that that's a head scratcher to me,

450
00:27:39,680 --> 00:27:43,080
Speaker 1: because I do think his his moral compass and his

451
00:27:43,240 --> 00:27:49,600
Speaker 1: character are collectively giving a permission slip to people to

452
00:27:49,640 --> 00:27:54,920
Speaker 1: behave like anything goes, you know. And you know, maybe

453
00:27:54,960 --> 00:27:56,720
Speaker 1: I'm sounding like an old guy in the room, and

454
00:27:56,760 --> 00:27:58,480
Speaker 1: I guess gen X, now we're the old guys in

455
00:27:58,520 --> 00:28:03,120
Speaker 1: the room. But there's some line here, right, There's some

456
00:28:03,240 --> 00:28:05,399
Speaker 1: line that I thought we were going to agree not

457
00:28:05,440 --> 00:28:10,240
Speaker 1: to cross. But you know, as as Bill Hurt said

458
00:28:10,240 --> 00:28:14,359
Speaker 1: in broadcast news, well I hear you about not crossing

459
00:28:14,400 --> 00:28:18,480
Speaker 1: the line, but they keep moving the sucker. And I

460
00:28:18,520 --> 00:28:22,360
Speaker 1: do think our line of decorum and a ridiculousness, right,

461
00:28:22,440 --> 00:28:25,320
Speaker 1: it is sort of being set by Trump and the

462
00:28:25,320 --> 00:28:32,240
Speaker 1: MAGA online forces. And I would just caution democrats giving

463
00:28:32,359 --> 00:28:36,240
Speaker 1: up that slightly higher ground of trying to be of

464
00:28:36,440 --> 00:28:40,640
Speaker 1: of trying to be the adult in the room, and

465
00:28:40,720 --> 00:28:43,600
Speaker 1: when you're no longer behaving like the adult in the room.

466
00:28:43,840 --> 00:28:45,840
Speaker 1: We know they're not behaving like the adult in the room.

467
00:28:45,880 --> 00:28:50,120
Speaker 1: There's a whole slew of us out here wondering who's

468
00:28:50,160 --> 00:28:52,600
Speaker 1: going to be the one to mind the store right,

469
00:28:52,640 --> 00:28:54,920
Speaker 1: who's going to be the one to lock the door,

470
00:28:55,080 --> 00:28:57,040
Speaker 1: Who's going to be the one you get You get

471
00:28:57,040 --> 00:29:05,640
Speaker 1: my point. There's a reason results matter more than promises,

472
00:29:06,080 --> 00:29:08,400
Speaker 1: just like there's a reason. Morgan and Morgan is America's

473
00:29:08,560 --> 00:29:11,720
Speaker 1: largest injury law firm. For the last thirty five years,

474
00:29:11,760 --> 00:29:14,760
Speaker 1: they've recovered twenty five billion dollars for more than half

475
00:29:14,800 --> 00:29:18,920
Speaker 1: a million clients. It includes cases where insurance companies offered

476
00:29:19,000 --> 00:29:21,760
Speaker 1: next to nothing, just hoping to get away with paying

477
00:29:21,840 --> 00:29:24,720
Speaker 1: as little as possible. Morgan and Morgan fought back ended

478
00:29:24,800 --> 00:29:27,520
Speaker 1: up winning millions. In fact, in Pennsylvania, one client was

479
00:29:27,560 --> 00:29:31,400
Speaker 1: awarded twenty six million dollars, which was a staggering forty

480
00:29:31,440 --> 00:29:34,600
Speaker 1: times the amount that the insurance company originally offered. That

481
00:29:34,680 --> 00:29:38,120
Speaker 1: original offer six hundred and fifty thousand dollars twenty six million,

482
00:29:38,360 --> 00:29:40,200
Speaker 1: six hundred and fifty thousand dollars. So with more than

483
00:29:40,240 --> 00:29:42,560
Speaker 1: one thousand lawyers across the country, they know how to

484
00:29:42,560 --> 00:29:45,480
Speaker 1: deliver for everyday people if you're injured, you need a lawyer.

485
00:29:45,880 --> 00:29:48,200
Speaker 1: You need somebody to get your back. Check out for

486
00:29:48,320 --> 00:29:52,040
Speaker 1: the People dot com, Slash podcast or Dow Pound Law

487
00:29:52,600 --> 00:29:56,720
Speaker 1: Pound five two nine law on your cell phone. And

488
00:29:56,840 --> 00:29:59,040
Speaker 1: remember all law firms are not the same, So check

489
00:29:59,080 --> 00:30:01,880
Speaker 1: out Morgan and Morgan. Their fee is free unless they win.

490
00:30:07,800 --> 00:30:09,600
Speaker 1: I've had a few other little notes I want to

491
00:30:09,600 --> 00:30:13,400
Speaker 1: put out before I get to Before I get to

492
00:30:13,400 --> 00:30:15,920
Speaker 1: my guests. Have a terrific guest today, Sean O'Brien, President

493
00:30:15,960 --> 00:30:20,640
Speaker 1: of the Teamsters. The Teamsters probably they the most uh,

494
00:30:21,200 --> 00:30:24,440
Speaker 1: you know, independent of the unions that are out there politically.

495
00:30:25,000 --> 00:30:28,400
Speaker 1: You know, they've they've certainly been more supportive of Democrats

496
00:30:28,400 --> 00:30:31,000
Speaker 1: over the years, but when a major union breaks from

497
00:30:31,040 --> 00:30:35,520
Speaker 1: the Democrats, it's usually the Teamsters that do it. Uh,

498
00:30:35,560 --> 00:30:37,920
Speaker 1: they've been neutral. They were neutral, I believe in the

499
00:30:37,960 --> 00:30:41,600
Speaker 1: last presidential election. Sean O'Brien spoke at the RNC election,

500
00:30:41,760 --> 00:30:43,440
Speaker 1: wanted to speak at the d n C. Was not

501
00:30:43,520 --> 00:30:46,960
Speaker 1: invited to the d n C. And he's just got

502
00:30:46,960 --> 00:30:49,520
Speaker 1: a lot look I wanted to. I wanted to understand

503
00:30:49,640 --> 00:30:53,360
Speaker 1: what his members are thinking, what he's thinking, where where

504
00:30:53,360 --> 00:30:58,040
Speaker 1: he thinks the union movement is going and in fact, uh,

505
00:30:58,080 --> 00:31:00,800
Speaker 1: we spend a good chunk of our time talking sort

506
00:31:00,840 --> 00:31:03,920
Speaker 1: of union politics and and sort of the current political

507
00:31:03,960 --> 00:31:06,640
Speaker 1: environment in general. But we spend the last ten minutes

508
00:31:06,680 --> 00:31:10,720
Speaker 1: talking about potential future members of the Teamsters Union. And

509
00:31:10,760 --> 00:31:13,720
Speaker 1: I'll just say here, will Carson Beck one day be

510
00:31:13,800 --> 00:31:18,880
Speaker 1: a Teamster? Will arch Manning one day be a Teamster?

511
00:31:19,920 --> 00:31:22,280
Speaker 1: I'm not going to fully say where I'm going with

512
00:31:22,320 --> 00:31:25,200
Speaker 1: that little tease there on this one, but you got

513
00:31:25,200 --> 00:31:27,560
Speaker 1: to listen to the entire interview with Sean O'Bryant where

514
00:31:27,600 --> 00:31:31,880
Speaker 1: we talk about the future of collective bargaining in college sports.

515
00:31:31,920 --> 00:31:36,640
Speaker 1: But before we get to the interview, a few other notes. Frankically,

516
00:31:36,680 --> 00:31:38,680
Speaker 1: it's a little pot per reef. First, on the campaign front,

517
00:31:38,680 --> 00:31:42,200
Speaker 1: we're getting a whole bunch of fundraising reports. I think

518
00:31:42,240 --> 00:31:45,640
Speaker 1: we need a pause, and I the oyster farmer out

519
00:31:45,640 --> 00:31:50,880
Speaker 1: of Maine, Graham Platner, raised three point two million dollars

520
00:31:50,920 --> 00:31:53,160
Speaker 1: since he announced, and he didn't even start. I don't

521
00:31:53,200 --> 00:31:56,120
Speaker 1: believe he had had the entire third quarter to raise money.

522
00:31:56,160 --> 00:31:58,720
Speaker 1: I believe he got in in early August, and it's

523
00:31:58,720 --> 00:32:01,480
Speaker 1: basically a bit in about sixty eight weeks. That is

524
00:32:01,480 --> 00:32:06,520
Speaker 1: an impressive showing that tells me and I just told

525
00:32:06,600 --> 00:32:08,880
Speaker 1: you yesterday about Janet Mills, like, what's going on there?

526
00:32:08,960 --> 00:32:13,160
Speaker 1: She seems she doesn't seem Look, he animated the progressive grassroots.

527
00:32:13,160 --> 00:32:15,800
Speaker 1: He's sort of more of a feels more Dan Osborne

528
00:32:15,800 --> 00:32:17,760
Speaker 1: than he does Bernie Sanders. For what it's worth, I

529
00:32:17,760 --> 00:32:21,560
Speaker 1: think certainly the progressives are all excited about him. But

530
00:32:21,640 --> 00:32:25,520
Speaker 1: he's got you know, he's sort of a progressive tough guy.

531
00:32:25,600 --> 00:32:29,040
Speaker 1: There's there's a little Fetterman, you know, sort of Fetterman

532
00:32:29,120 --> 00:32:33,240
Speaker 1: twenty the twenty twenty two version of Fetterman in there

533
00:32:33,440 --> 00:32:39,880
Speaker 1: with Platner. That's an impressive hall and the fact there's

534
00:32:39,920 --> 00:32:42,080
Speaker 1: another Sente canon in that race that's also already raised

535
00:32:42,080 --> 00:32:45,520
Speaker 1: three million as well. They did it for the entire quarter,

536
00:32:48,640 --> 00:32:51,600
Speaker 1: but Janet Mills hasn't even And one my question whether

537
00:32:52,600 --> 00:32:55,080
Speaker 1: is she the best candidate to put up against Susan

538
00:32:55,120 --> 00:32:57,040
Speaker 1: Collins or do you know, is she going to be

539
00:32:57,120 --> 00:32:59,719
Speaker 1: seen as too much of an insider and you basically

540
00:32:59,800 --> 00:33:03,680
Speaker 1: have to choice between two insiders or are you better

541
00:33:04,520 --> 00:33:07,160
Speaker 1: are you better off as the out party running somebody's

542
00:33:07,520 --> 00:33:09,520
Speaker 1: you know, I do think that there are sort of

543
00:33:10,400 --> 00:33:12,920
Speaker 1: there's sort of three divides in the Democratic Party that

544
00:33:12,960 --> 00:33:15,680
Speaker 1: are kind of ven diagrammy, right, you sort of have

545
00:33:15,960 --> 00:33:19,440
Speaker 1: you sort of have you have sort of a ideological

546
00:33:19,480 --> 00:33:23,200
Speaker 1: divide of the progressives and the pragmatists. Now, the pragmatists,

547
00:33:23,200 --> 00:33:24,959
Speaker 1: some of them are mainstream liberals and some of them

548
00:33:25,000 --> 00:33:27,720
Speaker 1: are much more centrists, but they're sort of on the

549
00:33:28,000 --> 00:33:30,240
Speaker 1: whatever it takes to win an election type of mindset.

550
00:33:31,400 --> 00:33:33,680
Speaker 1: But within that ven diagram of pragmatists, there are some

551
00:33:33,720 --> 00:33:37,040
Speaker 1: pragmatists who are pretty progressive but are just not going

552
00:33:37,120 --> 00:33:39,920
Speaker 1: to be culturally progressive. They're a little more economic progressive,

553
00:33:39,920 --> 00:33:42,960
Speaker 1: but maybe culturally a little more conservative. So you know,

554
00:33:43,000 --> 00:33:45,720
Speaker 1: you have sort of the it's not a clean sort

555
00:33:45,760 --> 00:33:49,720
Speaker 1: of three. So you have your your insider outsider, which

556
00:33:49,760 --> 00:33:56,040
Speaker 1: is sometimes progressive and centrist but not always. But I

557
00:33:56,040 --> 00:34:00,120
Speaker 1: will say this, I think being outsider matters more than

558
00:34:00,160 --> 00:34:03,840
Speaker 1: whether you're progressive or centrist, if you're outsider and new

559
00:34:04,600 --> 00:34:06,960
Speaker 1: and ready to sort of goes back to what I

560
00:34:07,000 --> 00:34:14,080
Speaker 1: was saying Wednesday about what I think a winning twenty

561
00:34:14,120 --> 00:34:17,080
Speaker 1: twenty eight Democratic candidate will look like. It is somebody

562
00:34:17,120 --> 00:34:22,319
Speaker 1: who wants to be as disruptive as Trump, but at

563
00:34:22,320 --> 00:34:24,920
Speaker 1: the same time, maybe with a little more of an

564
00:34:24,960 --> 00:34:31,759
Speaker 1: adult sense of self, if you will, and considering how

565
00:34:31,840 --> 00:34:36,719
Speaker 1: much money he initially raised, You know, this is one

566
00:34:36,760 --> 00:34:39,960
Speaker 1: of those cases where I don't know if they need

567
00:34:40,000 --> 00:34:44,799
Speaker 1: mails and if anything, having a knockdown, drag out fight

568
00:34:44,880 --> 00:34:47,319
Speaker 1: that becomes more inside or outsider than it is, sort

569
00:34:47,360 --> 00:34:51,840
Speaker 1: of left versus center. Is that going to do nothing

570
00:34:51,880 --> 00:34:57,160
Speaker 1: but actually hurt well everybody in the Democratic side and

571
00:34:57,200 --> 00:35:01,400
Speaker 1: potentially strengthened Susan Collins. Look, I'm pretty skeptical that she

572
00:35:01,520 --> 00:35:04,200
Speaker 1: can pull this one off this time because her negatives

573
00:35:04,200 --> 00:35:07,480
Speaker 1: are rising and they're they're at the worst they ever.

574
00:35:07,600 --> 00:35:11,120
Speaker 1: But there's nothing that would make help her more than

575
00:35:11,160 --> 00:35:14,399
Speaker 1: if this became a primary. That's similar to what we're

576
00:35:14,400 --> 00:35:18,000
Speaker 1: seeing in Michigan. We have three well funded candidates sort

577
00:35:18,040 --> 00:35:23,160
Speaker 1: of with offering different theories of the case, the progressive theory,

578
00:35:23,239 --> 00:35:30,080
Speaker 1: the outsider theory, the mainstream pragmatic theory. Right, we may

579
00:35:30,120 --> 00:35:32,440
Speaker 1: be staring at something like that in Maine. But I

580
00:35:32,560 --> 00:35:37,520
Speaker 1: just I think that fundraising Hall should make Chuck Schumer

581
00:35:38,160 --> 00:35:40,640
Speaker 1: take Janet Mills off of his speed dot. That's all

582
00:35:40,680 --> 00:35:43,600
Speaker 1: I would say on that one. And speaking of Michigan,

583
00:35:43,640 --> 00:35:45,080
Speaker 1: when I was saying is that you have three really

584
00:35:45,120 --> 00:35:48,000
Speaker 1: well well funded candidates do well. LSI ed raised nearly

585
00:35:48,000 --> 00:35:51,439
Speaker 1: two million in the third quarter. Morrow raised nearly two million.

586
00:35:51,600 --> 00:35:53,440
Speaker 1: I guess it is Steven's probably outraised him by a

587
00:35:53,480 --> 00:35:55,640
Speaker 1: little bit, but not by enough that it's going to

588
00:35:55,680 --> 00:35:58,239
Speaker 1: be this is that is going to be. As I've

589
00:35:58,239 --> 00:36:02,360
Speaker 1: said that Michigan Democratic Center Prime probably the most important

590
00:36:02,400 --> 00:36:05,840
Speaker 1: primary at least of figuring out where's the party going.

591
00:36:06,520 --> 00:36:09,960
Speaker 1: What is twenty twenty eight and that whole primary fight

592
00:36:10,040 --> 00:36:11,799
Speaker 1: going to look like we're going to get a nice

593
00:36:11,840 --> 00:36:16,440
Speaker 1: little snapshot. We're going to get a nice little snapshot

594
00:36:16,480 --> 00:36:18,919
Speaker 1: in Michigan. One other thing I want to point out

595
00:36:20,760 --> 00:36:26,600
Speaker 1: is the is this idea of the transac of sort

596
00:36:26,640 --> 00:36:32,399
Speaker 1: of how the president's personal attempts to enrich himself, how

597
00:36:32,400 --> 00:36:35,440
Speaker 1: that does sort of play out in policy? Right, So,

598
00:36:37,120 --> 00:36:41,920
Speaker 1: why was Cutter smart to give a plane to Donald Trump? Well,

599
00:36:42,640 --> 00:36:47,200
Speaker 1: here's what Donald Trump did. On Wednesday. Donald Trump issued

600
00:36:47,239 --> 00:36:51,640
Speaker 1: a sweeping executive order pledging to guarantee Qatar's security if

601
00:36:51,640 --> 00:36:54,759
Speaker 1: the country wherever to come under attack, the order states,

602
00:36:55,080 --> 00:36:57,840
Speaker 1: then an attack on Qatar would be considered quote a

603
00:36:57,880 --> 00:37:00,680
Speaker 1: threat to the peace and security of the United States. Essentially,

604
00:37:00,719 --> 00:37:04,600
Speaker 1: almost like NATO Article five type of treaty here, adding

605
00:37:04,600 --> 00:37:07,800
Speaker 1: that the US would take all measures, including quote diplomatic, economic,

606
00:37:07,840 --> 00:37:13,040
Speaker 1: and if necessary, military, to defend Cutter. The order also

607
00:37:13,120 --> 00:37:16,040
Speaker 1: calls on US defense officials to maintain joint contingency planning

608
00:37:16,040 --> 00:37:18,160
Speaker 1: with the State of Qatar to ensure a rapid and

609
00:37:18,200 --> 00:37:20,880
Speaker 1: coordinated response to any foreign aggression. And yes, if you're

610
00:37:20,960 --> 00:37:24,680
Speaker 1: keeping tract I do Katar, I do Cutter? So do they?

611
00:37:25,239 --> 00:37:27,520
Speaker 1: And I go back and forth because I'm not one

612
00:37:27,600 --> 00:37:30,200
Speaker 1: hundred percent, and I go back and forth because I

613
00:37:30,239 --> 00:37:34,120
Speaker 1: know everybody seems to go back and forth on that.

614
00:37:34,480 --> 00:37:37,879
Speaker 1: But the point is, what's the likelihood that that kind

615
00:37:37,920 --> 00:37:42,640
Speaker 1: of order for a country that essentially harbored Hamas and

616
00:37:42,680 --> 00:37:45,200
Speaker 1: gave aid and comfort to the Taliban is suddenly an

617
00:37:45,360 --> 00:37:50,680
Speaker 1: Article five type ally to the United States. I guess

618
00:37:50,719 --> 00:37:53,360
Speaker 1: that plane is paying dividends for the government of Qatar.

619
00:37:53,680 --> 00:37:56,920
Speaker 1: This is why, though it is wrong, and why the

620
00:37:56,960 --> 00:37:59,520
Speaker 1: President never should have taken it, why there should have

621
00:37:59,560 --> 00:38:02,320
Speaker 1: been more people uncomfortable with it, why Congress should have

622
00:38:02,360 --> 00:38:04,400
Speaker 1: made a bigger deal out of this, because now it

623
00:38:04,440 --> 00:38:06,960
Speaker 1: calls into question every single he just did it by

624
00:38:07,000 --> 00:38:10,799
Speaker 1: executive order. Do we know for sure, is because he's

625
00:38:10,880 --> 00:38:14,640
Speaker 1: under the influence financially and he feels he owes them

626
00:38:14,840 --> 00:38:19,319
Speaker 1: something because of the plane. We don't know, do we,

627
00:38:20,360 --> 00:38:25,400
Speaker 1: but it's out there. Then there's the deal that Pfizer

628
00:38:25,480 --> 00:38:29,400
Speaker 1: cut with Donald Trump. Right, Fiser very worried about tariffs

629
00:38:29,400 --> 00:38:33,680
Speaker 1: on some of their products, on pharmaceuticals, and so what

630
00:38:33,719 --> 00:38:36,839
Speaker 1: do they do. Pfiser agrees to lower prices to some

631
00:38:36,920 --> 00:38:40,440
Speaker 1: medicaid programs through a direct to consumer website. And what

632
00:38:40,480 --> 00:38:46,879
Speaker 1: did they agree to call this website? Trump OURX. Look

633
00:38:48,080 --> 00:38:53,359
Speaker 1: this transactional nature of Trump. You could argue, at least

634
00:38:53,360 --> 00:38:56,319
Speaker 1: here he's fighting to try to lower prescription drug costs

635
00:38:56,320 --> 00:38:59,640
Speaker 1: for at least he's using his own sort of personal vanity.

636
00:39:00,480 --> 00:39:03,520
Speaker 1: And in this case, right, you know, he wants, he wants,

637
00:39:03,719 --> 00:39:07,080
Speaker 1: he wants people to think he alone, right, he alone

638
00:39:07,080 --> 00:39:10,160
Speaker 1: can fix it. He alone is lowering your drug costs.

639
00:39:10,480 --> 00:39:13,800
Speaker 1: Sort of cuts a side deal using the power of tariffs,

640
00:39:13,800 --> 00:39:16,160
Speaker 1: which may be illegal. By the way, the Supreme Court

641
00:39:16,160 --> 00:39:20,080
Speaker 1: still hasn't decided on this. It's certainly my reading of this.

642
00:39:20,200 --> 00:39:23,560
Speaker 1: I don't know how you don't say that he doesn't

643
00:39:23,640 --> 00:39:28,240
Speaker 1: that he's overstepping his authority on this, But he's essentially

644
00:39:28,360 --> 00:39:30,400
Speaker 1: using it so that he gets something out of it, right,

645
00:39:30,480 --> 00:39:32,440
Speaker 1: just like what he's doing with Harvard now, shaking them

646
00:39:32,440 --> 00:39:34,640
Speaker 1: down for money, just like what he just did with YouTube.

647
00:39:35,120 --> 00:39:38,920
Speaker 1: Speaking of Google and YouTube, I read an article in

648
00:39:38,960 --> 00:39:44,000
Speaker 1: The Verge that noted that that they've taken away if

649
00:39:44,000 --> 00:39:47,560
Speaker 1: you ask about is Trump showing signs of dementia? There's

650
00:39:47,600 --> 00:39:50,480
Speaker 1: no longer an AI summary on your Google search, sort

651
00:39:50,480 --> 00:39:53,719
Speaker 1: of explaining it was sort of and sure enough I

652
00:39:53,760 --> 00:39:55,960
Speaker 1: went and did it just a double check. It was gone.

653
00:39:56,040 --> 00:39:59,480
Speaker 1: Although the first story is the Verge story about what

654
00:39:59,600 --> 00:40:06,000
Speaker 1: Google did here. But this is a reminder that this

655
00:40:06,080 --> 00:40:09,839
Speaker 1: administration is practicing what it lectured the Biden administration for doing,

656
00:40:10,400 --> 00:40:13,080
Speaker 1: which is it's leaning on these tech companies in order

657
00:40:13,120 --> 00:40:16,160
Speaker 1: to get more favorable coverage, or leaning on these tech

658
00:40:16,200 --> 00:40:18,520
Speaker 1: companies in order to get something that's their way, or

659
00:40:18,600 --> 00:40:23,600
Speaker 1: simply leaning on these tech companies to shake them down

660
00:40:23,600 --> 00:40:26,480
Speaker 1: for money. Now, look this goes you know, this is

661
00:40:26,600 --> 00:40:30,880
Speaker 1: the tyranny of you know, do they are they open

662
00:40:30,960 --> 00:40:36,239
Speaker 1: platforms and do they behave like utilities or are they

663
00:40:36,320 --> 00:40:39,160
Speaker 1: going to be in the editing and publishing business? And

664
00:40:39,200 --> 00:40:43,200
Speaker 1: the minute you've tweaked your algorithm, you've become a publisher.

665
00:40:44,239 --> 00:40:46,399
Speaker 1: And of course I do believe this means Section two

666
00:40:46,520 --> 00:40:50,359
Speaker 1: thirty doesn't apply anymore because they're no longer just a

667
00:40:50,400 --> 00:40:54,640
Speaker 1: neutral platform. They are not a neutral platform. They are

668
00:40:54,680 --> 00:40:59,880
Speaker 1: curating and yet more evidence of this. But and speaking

669
00:40:59,920 --> 00:41:04,960
Speaker 1: of coziness and how outside groups have amazing inside influence

670
00:41:05,760 --> 00:41:10,040
Speaker 1: on the Trump administration, I don't know if you were

671
00:41:10,080 --> 00:41:12,560
Speaker 1: paying how many of you are paying attention to the

672
00:41:12,880 --> 00:41:16,560
Speaker 1: person that was nominated for the Commodity Futures and Trading Commission.

673
00:41:16,600 --> 00:41:21,360
Speaker 1: His name is Brian Quintens. Well, his his nomination was

674
00:41:21,400 --> 00:41:27,359
Speaker 1: withdrawn after facing opposition from the Crypto Twins and Mark

675
00:41:27,440 --> 00:41:33,960
Speaker 1: Zuckerber's favorite enemies these days, the Winklevoss Twins, and they

676
00:41:33,960 --> 00:41:40,319
Speaker 1: didn't like that. Apparently Quinten's was the Winkelvoss Twins were

677
00:41:40,400 --> 00:41:44,600
Speaker 1: essentially trying to to uh, to gain you know, they

678
00:41:44,600 --> 00:41:47,360
Speaker 1: were making contact with Quintin's and apparently he was actually

679
00:41:47,360 --> 00:41:51,759
Speaker 1: trying to hey, you know, don't don't don't try to

680
00:41:51,840 --> 00:41:54,759
Speaker 1: game sort of a ruling off of the commodity you know,

681
00:41:54,840 --> 00:41:57,480
Speaker 1: before he goes through his own confirmation process or whatever

682
00:41:57,520 --> 00:42:00,400
Speaker 1: it is. Well, whatever happened in this textics change, and

683
00:42:00,760 --> 00:42:02,960
Speaker 1: I think Quintin's was actually trying to be on the

684
00:42:03,000 --> 00:42:06,880
Speaker 1: up and up. Here. The winkle Vas twins complained to

685
00:42:06,920 --> 00:42:08,800
Speaker 1: the White House and the White House with true the nomination.

686
00:42:09,560 --> 00:42:16,080
Speaker 1: Right if if they're personal crypto partners don't like a nominee,

687
00:42:16,560 --> 00:42:19,239
Speaker 1: they just call up a Trump maybe it was a son,

688
00:42:20,719 --> 00:42:22,360
Speaker 1: and they get to hand you know, they get to

689
00:42:22,400 --> 00:42:26,840
Speaker 1: handpicked who potentially the next regulator of crypto is for

690
00:42:26,880 --> 00:42:32,000
Speaker 1: the federal government. So you know, this this fusion of

691
00:42:32,440 --> 00:42:38,120
Speaker 1: Trump's business and vanity with how he conducts government business. Right,

692
00:42:38,400 --> 00:42:41,759
Speaker 1: whether it's what we saw with Cutter, what we just

693
00:42:41,920 --> 00:42:44,240
Speaker 1: what I just showed you with the winkle Vas twins,

694
00:42:44,239 --> 00:42:48,439
Speaker 1: and this them essentially getting a nominee acted because they

695
00:42:48,440 --> 00:42:51,920
Speaker 1: decided he wasn't going to that he was potentially going

696
00:42:52,000 --> 00:42:55,160
Speaker 1: to be too neutral of a regulator. It's essentially it

697
00:42:55,160 --> 00:42:58,239
Speaker 1: appears what the Winklevas twins the biggest complaint was, or

698
00:42:58,280 --> 00:43:02,000
Speaker 1: the shakedown of Pfiser in order for Pfizer to to

699
00:43:02,760 --> 00:43:04,920
Speaker 1: sort of get out of some terraces in exchange for

700
00:43:05,560 --> 00:43:11,400
Speaker 1: this Trump vanity project on prescription drugs. Any one of

701
00:43:11,440 --> 00:43:14,000
Speaker 1: these things would have been scandals under any other president

702
00:43:14,840 --> 00:43:17,360
Speaker 1: and all this stuff gets met with kind of a shrug.

703
00:43:18,680 --> 00:43:21,080
Speaker 1: I get it. We've been at eleven when it comes

704
00:43:21,080 --> 00:43:25,040
Speaker 1: to sort of Trump violating norms and blowing past guard rails,

705
00:43:25,080 --> 00:43:27,600
Speaker 1: and everybody's just numb and kind of used to it.

706
00:43:27,960 --> 00:43:30,560
Speaker 1: But that's kind of the problem. If we're all going

707
00:43:30,640 --> 00:43:33,000
Speaker 1: to kind of get used to it, it means it's

708
00:43:33,040 --> 00:43:35,160
Speaker 1: going to set new precedents. You know, we have a

709
00:43:35,200 --> 00:43:38,720
Speaker 1: new floor, right Our floor keeps getting lower and lower

710
00:43:40,040 --> 00:43:45,040
Speaker 1: on this stuff, and it's it's not good with that.

711
00:43:45,200 --> 00:43:48,840
Speaker 1: I've gone way way too long, much longer than I

712
00:43:48,840 --> 00:43:50,799
Speaker 1: wanted to. In my opening monologue, my apologies for that.

713
00:43:50,920 --> 00:43:52,880
Speaker 1: I'll sneak at a break. I'm telling you you're going

714
00:43:52,960 --> 00:44:06,840
Speaker 1: to love this interview with Shanna brown Well joining me

715
00:44:06,880 --> 00:44:10,680
Speaker 1: now is one of the most I think interesting people

716
00:44:10,719 --> 00:44:13,280
Speaker 1: in American politics today. It's the head of the Teamsters

717
00:44:13,400 --> 00:44:19,000
Speaker 1: Union and Sean O'Brien. Before we get started with sort

718
00:44:19,000 --> 00:44:22,919
Speaker 1: of your life in the literally in the center lane

719
00:44:22,920 --> 00:44:27,120
Speaker 1: of American politics these days, the Teamsters in general have

720
00:44:27,239 --> 00:44:32,600
Speaker 1: a reputation, you know, my lifetime of being the less

721
00:44:32,680 --> 00:44:37,040
Speaker 1: partisan of the major unions that you know, while you know,

722
00:44:37,080 --> 00:44:39,960
Speaker 1: when I was growing up, most of the labor movement

723
00:44:40,080 --> 00:44:43,879
Speaker 1: was Democratic. But if there was a labor union that

724
00:44:43,920 --> 00:44:46,840
Speaker 1: would be open to supporting Republicans, it was the Teamsters.

725
00:44:47,480 --> 00:44:50,440
Speaker 1: Walk me through that. What is that relationship? Why is

726
00:44:50,480 --> 00:44:53,799
Speaker 1: that What would you say explains that history? Well, I

727
00:44:53,800 --> 00:44:55,880
Speaker 1: think what explains the histories. We are one of the

728
00:44:55,920 --> 00:44:58,200
Speaker 1: lodgest We always have been one of the largest, I.

729
00:44:58,160 --> 00:45:02,520
Speaker 2: Believe, most influential unions in the country. You know, we've

730
00:45:02,520 --> 00:45:06,840
Speaker 2: been around since nineteen oh three. But we're very diverse.

731
00:45:06,960 --> 00:45:09,600
Speaker 2: We're a very diverse union. We always have been and

732
00:45:09,640 --> 00:45:12,960
Speaker 2: I think we always will be. And you know, there's

733
00:45:13,000 --> 00:45:17,840
Speaker 2: no secret that you know, we have endorsed Republican candidates prior,

734
00:45:18,440 --> 00:45:22,160
Speaker 2: but historically we've always went with Democrats. And I think

735
00:45:23,239 --> 00:45:25,520
Speaker 2: you know that I'm a lifelong Democrat, so I was

736
00:45:25,560 --> 00:45:27,960
Speaker 2: brought up in a Democratic state, so you know, you

737
00:45:28,000 --> 00:45:33,400
Speaker 2: always pulled that party line. But you know history, if

738
00:45:33,440 --> 00:45:35,960
Speaker 2: you look back in history, it wasn't always that way

739
00:45:36,000 --> 00:45:38,120
Speaker 2: with the teams As union. You know, I think the

740
00:45:38,160 --> 00:45:41,560
Speaker 2: philosophy has always been, let's try and work with the

741
00:45:41,640 --> 00:45:44,279
Speaker 2: people that are going to work on behalf of the

742
00:45:44,280 --> 00:45:45,720
Speaker 2: best interests of our members.

743
00:45:46,320 --> 00:45:50,120
Speaker 3: And that's why we're a little bit different than most

744
00:45:50,200 --> 00:45:55,040
Speaker 3: because we're a lot, we're transparent, we're inclusive, and we

745
00:45:55,080 --> 00:45:57,080
Speaker 3: want to support people that are going to support our

746
00:45:57,239 --> 00:46:00,000
Speaker 3: issues regardless of what their political affiliation has.

747
00:46:00,200 --> 00:46:02,560
Speaker 2: And that's always been the case pretty much.

748
00:46:03,239 --> 00:46:06,680
Speaker 1: Uh. The if I were to paint a picture of

749
00:46:06,680 --> 00:46:09,600
Speaker 1: the average Teamsters member of a Teamsters union, it's a

750
00:46:09,640 --> 00:46:12,560
Speaker 1: it's a truck driver. But that is I think being

751
00:46:12,640 --> 00:46:17,560
Speaker 1: very myopic. Tell me you're actually a very diverse set

752
00:46:17,600 --> 00:46:20,560
Speaker 1: of workers. Uh so that are that are members of

753
00:46:20,560 --> 00:46:23,880
Speaker 1: the Teamsters union. Walk my listeners through that, all right?

754
00:46:23,960 --> 00:46:26,880
Speaker 2: The easiest way to describe it, because it is a

755
00:46:27,000 --> 00:46:30,520
Speaker 2: very complicated, uh description if you try to you know,

756
00:46:31,280 --> 00:46:36,240
Speaker 2: sector bisector so building trades or a company or electrician. Uh,

757
00:46:36,320 --> 00:46:39,040
Speaker 2: you're a plumber, right, everybody knows that's what you are.

758
00:46:39,480 --> 00:46:41,360
Speaker 2: The Teamster is the best way to say it, and

759
00:46:41,400 --> 00:46:44,640
Speaker 2: I say it all the time. We represent everybody from

760
00:46:44,800 --> 00:46:48,240
Speaker 2: airline pilots to zoom keepers and everybody in between.

761
00:46:49,040 --> 00:46:51,880
Speaker 1: I remember, like you guys have been helping to organize

762
00:46:51,960 --> 00:46:53,120
Speaker 1: Amazon worker we have.

763
00:46:53,440 --> 00:46:56,000
Speaker 2: Yeah, we we've uh we've actually taken that fight on.

764
00:46:56,200 --> 00:47:02,240
Speaker 2: We joined forces with Amazon Labor Union, which successfully organized

765
00:47:02,280 --> 00:47:05,200
Speaker 2: in New York. And you know, there's no secret that

766
00:47:05,840 --> 00:47:11,919
Speaker 2: we have a longstanding relationship bargaining relationship with UPS, which

767
00:47:11,960 --> 00:47:15,760
Speaker 2: is one of the was the largest package delivery companies,

768
00:47:15,800 --> 00:47:18,480
Speaker 2: and so it was a natural fit for us to

769
00:47:18,960 --> 00:47:24,040
Speaker 2: uh joined forces and women organizing uh the direct employees

770
00:47:24,080 --> 00:47:29,319
Speaker 2: and also organizing the third party leasing arrangement, which is

771
00:47:29,480 --> 00:47:31,800
Speaker 2: a scam and a shell game which we all know about.

772
00:47:32,719 --> 00:47:35,600
Speaker 2: So that's been our biggest focus Amazon not just to

773
00:47:35,640 --> 00:47:38,520
Speaker 2: the teams is Union not just to you know, germane

774
00:47:38,560 --> 00:47:41,320
Speaker 2: to us. But they're probably going to be the biggest

775
00:47:41,360 --> 00:47:46,640
Speaker 2: threat to organize labor, uh because they have their fingers

776
00:47:46,640 --> 00:47:51,680
Speaker 2: in so many different industries and so many different uh

777
00:47:51,880 --> 00:47:53,799
Speaker 2: you know, technologies that could affect us.

778
00:47:53,840 --> 00:47:57,080
Speaker 1: So you know, let's talk about automated robot. Look, Amazon

779
00:47:57,200 --> 00:48:00,279
Speaker 1: is learning hard at replacing the human being, right, want

780
00:48:00,280 --> 00:48:03,880
Speaker 1: to replace the human being as fast as possible. Amazon's

781
00:48:03,920 --> 00:48:07,560
Speaker 1: not alone, They're just the largest entity with the resources

782
00:48:07,600 --> 00:48:10,440
Speaker 1: to do it. You're trying to protect human labor.

783
00:48:10,800 --> 00:48:13,600
Speaker 2: Oh, we have to protect human labor because you know,

784
00:48:13,680 --> 00:48:16,480
Speaker 2: without human labor, where are these folks going to go?

785
00:48:16,480 --> 00:48:18,280
Speaker 2: And that didn't get the opportunity to go to college,

786
00:48:18,320 --> 00:48:21,719
Speaker 2: that didn't get the opportunity that that some people got

787
00:48:22,800 --> 00:48:27,320
Speaker 2: and look, you know, AI is probably the biggest threat

788
00:48:27,920 --> 00:48:32,600
Speaker 2: to the human population. And I think, you know, and

789
00:48:32,680 --> 00:48:35,279
Speaker 2: I've been focused on this meeting with people that I

790
00:48:35,360 --> 00:48:38,600
Speaker 2: normally wouldn't even talk to because my concern is, like,

791
00:48:38,640 --> 00:48:41,879
Speaker 2: what is what effect is AI? Because it's so it's

792
00:48:41,880 --> 00:48:45,480
Speaker 2: so complicated. But I think what we're going to see

793
00:48:45,920 --> 00:48:48,840
Speaker 2: with AI and this automation and all these corporations that

794
00:48:48,880 --> 00:48:51,480
Speaker 2: are falling in love with it, You're going to see

795
00:48:52,400 --> 00:48:56,239
Speaker 2: the upper management of a lot of these corporations be

796
00:48:56,320 --> 00:49:00,000
Speaker 2: affected by AI because they're not gonna need all these analysts.

797
00:49:00,000 --> 00:49:02,640
Speaker 2: You're not going to need all these white collar jobs.

798
00:49:02,800 --> 00:49:05,359
Speaker 2: So you're going to see a further disparity once that

799
00:49:05,480 --> 00:49:08,799
Speaker 2: middle layer management is you know, basically affected and they

800
00:49:08,840 --> 00:49:11,160
Speaker 2: lose their jobs, You're going to see CEOs pay continue

801
00:49:11,160 --> 00:49:16,080
Speaker 2: to grow because all the savings. My mission is to

802
00:49:16,120 --> 00:49:19,960
Speaker 2: make sure that we capture capture that money for the

803
00:49:20,000 --> 00:49:23,120
Speaker 2: folks that are still working these blue collar jobs and

804
00:49:23,239 --> 00:49:27,040
Speaker 2: create hopefully opportunity for retraining in new jobs as a

805
00:49:27,080 --> 00:49:30,520
Speaker 2: result of the implementation of technology. And Amazon, to your point,

806
00:49:31,360 --> 00:49:34,040
Speaker 2: doesn't care about the humans. They care about they care

807
00:49:34,080 --> 00:49:36,640
Speaker 2: about their brand, and they care about their profits and

808
00:49:36,680 --> 00:49:37,080
Speaker 2: that's it.

809
00:49:38,080 --> 00:49:41,760
Speaker 1: You know, I'm pretty convinced that the issue of twenty

810
00:49:41,800 --> 00:49:44,920
Speaker 1: twenty eight is going to be like, if you're a

811
00:49:44,960 --> 00:49:48,360
Speaker 1: presidential candidate and you don't have a policy on AI

812
00:49:48,520 --> 00:49:51,200
Speaker 1: job displacement, you shouldn't be running for president.

813
00:49:51,440 --> 00:49:51,680
Speaker 2: Nod.

814
00:49:51,800 --> 00:49:53,960
Speaker 1: It's probably going to be the table stakes, right, I.

815
00:49:53,960 --> 00:49:56,160
Speaker 2: Mean, twenty twenty eight is going to be like, so

816
00:49:56,520 --> 00:49:58,319
Speaker 2: I just did some little bit of research on you

817
00:49:58,320 --> 00:50:00,719
Speaker 2: because I'm a huge fan, but I'm a little bit

818
00:50:00,760 --> 00:50:03,400
Speaker 2: more mature because I'm six days older than you. I

819
00:50:03,480 --> 00:50:06,000
Speaker 2: was born in Antril second, nineteen seventy two.

820
00:50:06,160 --> 00:50:08,480
Speaker 1: No, kiddy, look at that, all right, but it's.

821
00:50:08,360 --> 00:50:11,200
Speaker 2: Going to be like twenty twenty eight has the potential

822
00:50:11,640 --> 00:50:14,960
Speaker 2: to be like do you remember WWF What was that

823
00:50:15,000 --> 00:50:16,880
Speaker 2: big event they used to have every a summer.

824
00:50:16,640 --> 00:50:19,560
Speaker 1: Slam, Summer Wrestlemanians, WrestleMania.

825
00:50:19,440 --> 00:50:22,719
Speaker 2: Yea like WrestleMania, but ye you put the rumble at

826
00:50:22,760 --> 00:50:23,120
Speaker 2: the end.

827
00:50:23,040 --> 00:50:24,560
Speaker 1: Where there's a million people in the ring.

828
00:50:24,600 --> 00:50:27,400
Speaker 2: But yeah, it's happening right now across the street from

829
00:50:27,440 --> 00:50:30,600
Speaker 2: where I'm at. But no, I mean, look, this is

830
00:50:30,640 --> 00:50:34,879
Speaker 2: a huge threat to the American workforce and whether you're

831
00:50:34,880 --> 00:50:37,280
Speaker 2: a Republican or Democrat. You have to have a solution

832
00:50:39,160 --> 00:50:42,319
Speaker 2: in support network to support workers whose jobs are going

833
00:50:42,400 --> 00:50:46,040
Speaker 2: to be at risk. Maybe even you know extinct and

834
00:50:46,200 --> 00:50:48,719
Speaker 2: you're spawn on. I mean, everybody falls in love with

835
00:50:48,800 --> 00:50:51,480
Speaker 2: convenience and technology. We're all guilty of it. You know,

836
00:50:51,520 --> 00:50:53,600
Speaker 2: we own something online, we hit that button, we want

837
00:50:53,600 --> 00:50:56,319
Speaker 2: it yesterday. But what cost does that come at?

838
00:50:56,520 --> 00:50:56,640
Speaker 1: Right?

839
00:50:56,719 --> 00:50:59,279
Speaker 2: Does it comes at a cost of someone's job? What

840
00:50:59,400 --> 00:51:00,000
Speaker 2: is your level?

841
00:51:00,400 --> 00:51:03,480
Speaker 1: So let's take UPS UPS at big you know the

842
00:51:03,560 --> 00:51:06,320
Speaker 1: UPS drivers, and UPS says, hey man, we love these

843
00:51:06,560 --> 00:51:11,319
Speaker 1: robot trucks and we're going to have these robot drivers.

844
00:51:11,920 --> 00:51:15,000
Speaker 1: What's your leverage to protect your human drive?

845
00:51:15,080 --> 00:51:18,240
Speaker 2: My leverage is the collective Boggining agreement we negotiated where

846
00:51:18,280 --> 00:51:22,600
Speaker 2: we negotiated language that any technological change needs to be

847
00:51:22,640 --> 00:51:25,560
Speaker 2: agreed upon. If there's a disagreement, it's subject to arbitration.

848
00:51:25,960 --> 00:51:29,760
Speaker 2: But we also know we also negotiate provisions that UPS

849
00:51:29,800 --> 00:51:33,080
Speaker 2: has to maintain a certain level of full time jobs

850
00:51:33,160 --> 00:51:35,400
Speaker 2: and create full time jobs as a result of it.

851
00:51:35,760 --> 00:51:38,400
Speaker 2: So you know, we're already in stages and it's been

852
00:51:38,440 --> 00:51:41,040
Speaker 2: going off a ten of twelve years where UPS in

853
00:51:41,080 --> 00:51:43,400
Speaker 2: the warehouses where we have fifty four percent of our

854
00:51:43,440 --> 00:51:46,200
Speaker 2: membership out of three hundred and forty thousand apart time

855
00:51:46,280 --> 00:51:49,720
Speaker 2: is to get full time benefits, health and welfare, pension.

856
00:51:50,040 --> 00:51:54,360
Speaker 2: So we're very, very sensitive to any type of job elimination.

857
00:51:54,800 --> 00:51:58,160
Speaker 2: But we we're convinced and we have committees where because

858
00:51:58,200 --> 00:52:02,440
Speaker 2: of our collective Boggin agreement, we can identify opportunities to

859
00:52:02,520 --> 00:52:05,440
Speaker 2: create new jobs as a result of technology being implemented.

860
00:52:05,520 --> 00:52:09,040
Speaker 2: So that's the difference right now between an unionized company

861
00:52:09,080 --> 00:52:14,000
Speaker 2: like UPS versus non union FedEx and or Amazon. We

862
00:52:14,120 --> 00:52:17,360
Speaker 2: have the ability because we negotiated those terms and conditions.

863
00:52:17,400 --> 00:52:20,400
Speaker 2: But you know, if you're a non union Amazon employee

864
00:52:20,400 --> 00:52:23,359
Speaker 2: inside the warehouse, you know chances are at some point

865
00:52:23,360 --> 00:52:26,880
Speaker 2: in time, if Amazon has the opportunity to replace you

866
00:52:26,960 --> 00:52:28,879
Speaker 2: with a robot, they are going to do their best

867
00:52:28,880 --> 00:52:31,440
Speaker 2: to do that. And I got to tell you, I

868
00:52:31,480 --> 00:52:34,200
Speaker 2: think we all know technology. It's not full growth and

869
00:52:34,520 --> 00:52:36,919
Speaker 2: the best. I always tell people, like when we're fighting

870
00:52:36,960 --> 00:52:40,880
Speaker 2: about these autonomous vehicles, which is disturbing to me, you know,

871
00:52:41,160 --> 00:52:45,160
Speaker 2: and I'm a Democrat. It's disturbing to me when you

872
00:52:45,320 --> 00:52:51,399
Speaker 2: have governors in California, in Illinois and Colorado who say, hey,

873
00:52:51,440 --> 00:52:54,040
Speaker 2: I want to support working people. I want to support,

874
00:52:54,120 --> 00:52:56,359
Speaker 2: you know, the creation of jobs. And when you work

875
00:52:56,400 --> 00:53:01,000
Speaker 2: bipartisan on a state level and you have agreed upon

876
00:53:01,200 --> 00:53:05,280
Speaker 2: legislation that's going to mandate human operators and commercial vehicles

877
00:53:05,680 --> 00:53:08,279
Speaker 2: and it gets to the governor's desk and they veto it,

878
00:53:08,560 --> 00:53:10,640
Speaker 2: what does that signal this just happened?

879
00:53:10,800 --> 00:53:12,880
Speaker 1: So you brought this up? You look you it's like

880
00:53:12,920 --> 00:53:17,040
Speaker 1: you read my research on you. But I was about

881
00:53:18,120 --> 00:53:23,000
Speaker 1: this was very recent legislation. And these are three Democratic

882
00:53:23,000 --> 00:53:28,200
Speaker 1: governors who all are all want labor support. I probably

883
00:53:28,280 --> 00:53:30,759
Speaker 1: all believe you know, would say they're very supportive of

884
00:53:30,800 --> 00:53:35,880
Speaker 1: collective party. Jared Paulus, JB. Pritzker, Gavin Newsom. What's their

885
00:53:35,920 --> 00:53:38,040
Speaker 1: explanation for why they vetoed these bills?

886
00:53:38,120 --> 00:53:39,440
Speaker 2: That is a great question.

887
00:53:39,680 --> 00:53:41,320
Speaker 1: So what do they tell you?

888
00:53:41,320 --> 00:53:43,560
Speaker 2: You're probably going to find this how to believe? Newsom

889
00:53:43,719 --> 00:53:46,880
Speaker 2: is not a big fan of Sean O'Brien. Have been

890
00:53:46,920 --> 00:53:49,520
Speaker 2: critical of him because he's in love with big tech.

891
00:53:49,560 --> 00:53:51,799
Speaker 2: I mean, that's the bottom line, right, you.

892
00:53:51,719 --> 00:53:53,080
Speaker 1: See tech as adversarial.

893
00:53:53,920 --> 00:53:58,319
Speaker 2: I see tech as adversarial because the script has been

894
00:53:58,440 --> 00:54:03,120
Speaker 2: flipped right from where the Republicans were fifteen years ago.

895
00:54:03,800 --> 00:54:06,239
Speaker 2: Now the Democrats seem to be holding their seats and

896
00:54:06,320 --> 00:54:09,239
Speaker 2: falling in love. I call it like Stockholm syndrome. You know,

897
00:54:09,320 --> 00:54:12,160
Speaker 2: some of these governors have fallen in love or some

898
00:54:12,200 --> 00:54:14,839
Speaker 2: of the Democrats have fallen in love with their captor, right,

899
00:54:15,440 --> 00:54:19,480
Speaker 2: and they don't know the result, the catastrophic result. I

900
00:54:19,480 --> 00:54:22,600
Speaker 2: talked to the governor from Colorado, right, called him up

901
00:54:22,640 --> 00:54:25,480
Speaker 2: before because we were getting word that. You know, he

902
00:54:25,640 --> 00:54:28,040
Speaker 2: was on the fence whether it was going to veto

903
00:54:28,120 --> 00:54:31,600
Speaker 2: it or sign it into legislation. Don't forget. I was

904
00:54:31,640 --> 00:54:36,360
Speaker 2: in Times Square, I was at another event, and I

905
00:54:36,400 --> 00:54:38,799
Speaker 2: called him. I said, look, this is going to be

906
00:54:38,880 --> 00:54:42,320
Speaker 2: detrimental to working people. It's going to be detrimental to

907
00:54:42,440 --> 00:54:47,000
Speaker 2: CBL license holders. It's not just a union issue. I go,

908
00:54:47,080 --> 00:54:49,520
Speaker 2: there could be like two hundred and fifty thousand people

909
00:54:49,560 --> 00:54:52,919
Speaker 2: affected by this. He's like, I love the teams toys.

910
00:54:53,280 --> 00:54:56,320
Speaker 2: Go okay, this is where I've always supported you on

911
00:54:56,360 --> 00:54:59,400
Speaker 2: everything you've done. I don't know whether that's true or not,

912
00:54:59,480 --> 00:55:02,480
Speaker 2: I'm saying myself, says, but I just can't be with

913
00:55:02,560 --> 00:55:05,360
Speaker 2: you on this one. I said, really, this is the

914
00:55:05,360 --> 00:55:07,000
Speaker 2: one that really matters. This is the only one that

915
00:55:07,000 --> 00:55:08,560
Speaker 2: matter is I said, where are you going to put

916
00:55:08,560 --> 00:55:10,719
Speaker 2: those two hundred and fifty thousand? Well to why, I'm

917
00:55:10,719 --> 00:55:12,560
Speaker 2: gonna said, two hund thosand and two and fifty thousand

918
00:55:12,719 --> 00:55:14,799
Speaker 2: people that lose their job, where are they gonna go?

919
00:55:15,800 --> 00:55:19,480
Speaker 2: I said? And furthermore, I drove a truck my whole life.

920
00:55:19,920 --> 00:55:22,600
Speaker 2: I said, you know, the best technology and the best

921
00:55:23,880 --> 00:55:28,200
Speaker 2: information is a human hot instinct in their brain. They

922
00:55:28,239 --> 00:55:30,839
Speaker 2: can react quicker than any computer. What are you going

923
00:55:30,920 --> 00:55:33,080
Speaker 2: to do when you're platooning a vehicle wearing two hundred

924
00:55:33,120 --> 00:55:36,279
Speaker 2: forty thousand pounds and a malfunction kills a family of four?

925
00:55:36,560 --> 00:55:38,520
Speaker 2: Are you gonna be okay with that? Because I certainly

926
00:55:38,520 --> 00:55:40,480
Speaker 2: am not gonna be okay with it. And he says, oh,

927
00:55:40,520 --> 00:55:43,640
Speaker 2: you know what, don't worry about that stuff. It's ten

928
00:55:43,680 --> 00:55:46,040
Speaker 2: to fifteen years down the road. I said, no, it's

929
00:55:46,040 --> 00:55:49,200
Speaker 2: ten to fifteen minutes down the road. But that's the

930
00:55:49,239 --> 00:55:52,000
Speaker 2: perplexing stuff for us. And that's where, you know, I

931
00:55:52,040 --> 00:55:55,240
Speaker 2: get criticized sometimes because they'll say, well, you're a labor

932
00:55:55,320 --> 00:55:58,120
Speaker 2: leader and you're criticizing the Democrats. Well, I'm a label

933
00:55:58,200 --> 00:56:01,280
Speaker 2: leader that criticizes the Republican. I'm a laborer to criticize

934
00:56:01,280 --> 00:56:04,120
Speaker 2: as the independence as well when you're not making reasonable

935
00:56:04,120 --> 00:56:07,720
Speaker 2: decisions on how it's going to affect working people. More

936
00:56:08,040 --> 00:56:10,759
Speaker 2: so your constituents who if they don't have a job,

937
00:56:10,800 --> 00:56:13,719
Speaker 2: where do they go? They want, they go, they go

938
00:56:13,800 --> 00:56:15,759
Speaker 2: on the they go on the they go on the done.

939
00:56:16,600 --> 00:56:19,160
Speaker 1: Look, I look at your job is to you have

940
00:56:19,200 --> 00:56:22,239
Speaker 1: one job, right, You're there to protect your workers. You're

941
00:56:22,239 --> 00:56:26,359
Speaker 1: there to do that. I get that. What is you

942
00:56:26,440 --> 00:56:32,839
Speaker 1: also have to be responsive to technological change. What's your recipe?

943
00:56:32,880 --> 00:56:34,759
Speaker 1: If you could go back to Polus, you could go

944
00:56:34,800 --> 00:56:37,520
Speaker 1: back to Pritzkergh and say, look, I get that you

945
00:56:37,640 --> 00:56:39,960
Speaker 1: want to you want to be able to innovate. You

946
00:56:40,040 --> 00:56:44,520
Speaker 1: want to be able to to to allow automation to

947
00:56:44,600 --> 00:56:48,239
Speaker 1: have a chance in some areas where maybe automation will

948
00:56:48,280 --> 00:56:51,880
Speaker 1: be better in certain in certain things. You know, you

949
00:56:52,280 --> 00:56:55,040
Speaker 1: see things with micro surgeries, right that maybe having a

950
00:56:55,120 --> 00:56:57,759
Speaker 1: robot do it is better than the human hand. I

951
00:56:58,760 --> 00:57:01,839
Speaker 1: think we all accept that. Where's your line on this

952
00:57:01,960 --> 00:57:03,960
Speaker 1: and where do you feel where do you feel like

953
00:57:04,000 --> 00:57:05,319
Speaker 1: you have to show some flexibility.

954
00:57:05,400 --> 00:57:08,959
Speaker 2: That's a great question. I don't think. I think people

955
00:57:08,960 --> 00:57:13,600
Speaker 2: there's a perception out there when you speak against anything

956
00:57:13,640 --> 00:57:15,960
Speaker 2: that has an effect on jobs you have viewed as

957
00:57:16,000 --> 00:57:20,320
Speaker 2: an impediment, right, and that impediment is what That impediment

958
00:57:20,480 --> 00:57:22,400
Speaker 2: is the bottom line of a balance sheet and the

959
00:57:22,440 --> 00:57:25,920
Speaker 2: profits of that company int or technology. We do not

960
00:57:26,120 --> 00:57:28,760
Speaker 2: want to be an impediment that is going to potentially

961
00:57:28,840 --> 00:57:34,680
Speaker 2: maybe improve our members' jobs, improve productivity, improve work as safety.

962
00:57:35,280 --> 00:57:39,200
Speaker 2: We are going to embrace technology because we have for

963
00:57:39,400 --> 00:57:42,400
Speaker 2: since nineteen oh three. I mean, think about think about

964
00:57:42,400 --> 00:57:44,560
Speaker 2: what's behind me two horse heads and carriages.

965
00:57:44,960 --> 00:57:45,240
Speaker 1: Right.

966
00:57:45,480 --> 00:57:47,360
Speaker 2: What technology that we had to deal with was a

967
00:57:47,400 --> 00:57:50,320
Speaker 2: combustible engine that came and created vehicles that we got

968
00:57:50,320 --> 00:57:52,640
Speaker 2: off of horses and got behind staring oils and trucks. Right,

969
00:57:52,840 --> 00:57:55,280
Speaker 2: So we're not trying to be an impediment. We know

970
00:57:55,320 --> 00:58:02,480
Speaker 2: what's coming. The problem is it's a difference between implementation

971
00:58:03,840 --> 00:58:08,760
Speaker 2: versus conversation and input. So in other words, there seems

972
00:58:08,800 --> 00:58:11,240
Speaker 2: to be a disconnect where hey, we're just going to

973
00:58:11,280 --> 00:58:15,840
Speaker 2: implement this technology without any consideration of having a conversation

974
00:58:15,960 --> 00:58:18,320
Speaker 2: to say, hey, look this is what we're thinking of doing.

975
00:58:18,840 --> 00:58:21,360
Speaker 2: This potentially could be the effect. What do you think

976
00:58:21,360 --> 00:58:25,680
Speaker 2: about this technology? It would say great, However, where can

977
00:58:25,720 --> 00:58:28,240
Speaker 2: we create jobs? How is this going to affect workers.

978
00:58:28,800 --> 00:58:31,880
Speaker 2: Those conversations aren't happening. It's you know, we don't want

979
00:58:31,880 --> 00:58:34,840
Speaker 2: to be an impediment, but we want to be part

980
00:58:34,880 --> 00:58:38,200
Speaker 2: of the solution to a potential problem as a result

981
00:58:38,200 --> 00:58:40,440
Speaker 2: of it, we know it's coming. Just give us a

982
00:58:40,480 --> 00:58:43,120
Speaker 2: seat at the table and hair our point of view.

983
00:58:43,640 --> 00:58:46,960
Speaker 2: And like we're seeing the grocery warehouse industry, you know,

984
00:58:47,000 --> 00:58:48,640
Speaker 2: there was a big push and there is a big

985
00:58:48,680 --> 00:58:52,000
Speaker 2: push in these big grocery warehouses where we represent you know,

986
00:58:52,280 --> 00:58:55,720
Speaker 2: thousands upon thousands of workers nationwide. The big grocery chains

987
00:58:56,040 --> 00:59:00,960
Speaker 2: where they did implement robots to select orders did affect

988
00:59:01,000 --> 00:59:03,840
Speaker 2: our jobs. However, we created jobs as a result of it.

989
00:59:04,040 --> 00:59:07,040
Speaker 2: Who's going to program these robots, who's going to maintain

990
00:59:07,120 --> 00:59:10,080
Speaker 2: these robots, who's going to do quality control? So we

991
00:59:10,080 --> 00:59:13,440
Speaker 2: were able to create jobs because we had those conversations

992
00:59:13,600 --> 00:59:16,320
Speaker 2: and we maintain the workforce. We do not want to

993
00:59:16,320 --> 00:59:19,160
Speaker 2: be impediments anything that's going to potentially make life easier,

994
00:59:19,400 --> 00:59:22,920
Speaker 2: But we can't embrace something where we don't have the

995
00:59:23,000 --> 00:59:25,560
Speaker 2: knowledge and or a solution to the bigger problem, which

996
00:59:25,600 --> 00:59:27,040
Speaker 2: where do you put these people to work.

997
00:59:28,160 --> 00:59:32,200
Speaker 1: Let's go back to the nineties and NAFTA and what

998
00:59:32,360 --> 00:59:35,360
Speaker 1: was in anticipation of what was going to be huge displacement,

999
00:59:36,280 --> 00:59:42,360
Speaker 1: massive job shifting, outsourcing overseas. Some of it was just

1000
00:59:42,560 --> 00:59:45,120
Speaker 1: outsourcing from the north to the south. Right to work

1001
00:59:45,160 --> 00:59:47,800
Speaker 1: states versus so called white to work states, et cetera.

1002
00:59:49,920 --> 00:59:54,360
Speaker 1: What were the mistakes that your predecessors in the labor

1003
00:59:54,440 --> 00:59:57,760
Speaker 1: leadership world made then that you don't want to repeat

1004
00:59:59,640 --> 01:00:01,520
Speaker 1: as bring AI on board here.

1005
01:00:01,880 --> 01:00:05,200
Speaker 2: Yeah, so again we took people for their word. I

1006
01:00:05,200 --> 01:00:08,040
Speaker 2: think back then, you know, think about it when when

1007
01:00:08,840 --> 01:00:12,680
Speaker 2: NAFTA came into effect, you know, Clinton introduced that. We

1008
01:00:12,680 --> 01:00:15,040
Speaker 2: were very supportive of Clinton in the ninety two election.

1009
01:00:15,520 --> 01:00:17,240
Speaker 2: All this isn't going to hurt, it's going to help.

1010
01:00:17,520 --> 01:00:19,680
Speaker 2: You know, there'll be a residual value as a result

1011
01:00:19,800 --> 01:00:22,440
Speaker 2: of these trade agreements. I think we trust again, you

1012
01:00:22,480 --> 01:00:25,360
Speaker 2: guys were the least if I remember, the Teamsters were

1013
01:00:25,400 --> 01:00:27,640
Speaker 2: the most supportive of NAFTA compared to the other unions,

1014
01:00:27,680 --> 01:00:31,000
Speaker 2: right because it was well initially, yeah, initially, we were

1015
01:00:31,120 --> 01:00:34,720
Speaker 2: very very well. After that, we were anything that was introduced.

1016
01:00:34,760 --> 01:00:37,480
Speaker 2: I think it was p and tr after that, yeah,

1017
01:00:37,600 --> 01:00:40,040
Speaker 2: trying to trade dale and I think KAFTA was after that.

1018
01:00:41,040 --> 01:00:44,840
Speaker 2: After getting burnt on NAFTA. You know, the skepticism was

1019
01:00:44,880 --> 01:00:47,600
Speaker 2: at an all time high. So I think to your question,

1020
01:00:48,120 --> 01:00:49,960
Speaker 2: what mistakes were made that I don't want to make

1021
01:00:50,200 --> 01:00:53,960
Speaker 2: that my predecess made. They trusted the people that we

1022
01:00:54,000 --> 01:00:56,960
Speaker 2: supported at that point in time, where I'm not suggest

1023
01:00:57,040 --> 01:01:00,360
Speaker 2: you shouldn't trust people. But just because someone has a

1024
01:01:00,440 --> 01:01:02,720
Speaker 2: D next to the name doesn't mean that making good

1025
01:01:02,760 --> 01:01:05,560
Speaker 2: policy behalf of American workers. And I don't think it

1026
01:01:05,640 --> 01:01:09,200
Speaker 2: was well thought out, uh and or explained. Well maybe

1027
01:01:09,240 --> 01:01:12,720
Speaker 2: it wasn't explained to to with all the facts associated

1028
01:01:12,720 --> 01:01:16,240
Speaker 2: with it. So that's why we're being different. We're different

1029
01:01:16,280 --> 01:01:20,320
Speaker 2: nowadays under our leadership because I'm having those conversations with

1030
01:01:20,440 --> 01:01:23,919
Speaker 2: both sides. If the Republicans introduce something that it's good

1031
01:01:23,920 --> 01:01:26,680
Speaker 2: for us, I'm gonna go to the Democrats and say,

1032
01:01:26,920 --> 01:01:29,560
Speaker 2: all right, the Republicans are telling us that this this

1033
01:01:29,640 --> 01:01:32,440
Speaker 2: is good for our members. Is it good in your opinion?

1034
01:01:32,480 --> 01:01:34,200
Speaker 2: Is it good? And if it is, why is it?

1035
01:01:34,240 --> 01:01:36,960
Speaker 2: If it's not, why is it not. So I don't

1036
01:01:37,000 --> 01:01:39,600
Speaker 2: think any of those discussions happen. And I think people

1037
01:01:39,720 --> 01:01:43,040
Speaker 2: just back then, uh you know, took people for their word.

1038
01:01:43,120 --> 01:01:45,280
Speaker 2: I mean, I just I'm not going to do that,

1039
01:01:45,840 --> 01:01:48,320
Speaker 2: you know, I want to know exactly what the effects

1040
01:01:48,360 --> 01:01:52,280
Speaker 2: are going to be. And look, hopefully they're going to

1041
01:01:52,320 --> 01:01:54,840
Speaker 2: be honest and open with us. If look, if I'm

1042
01:01:54,880 --> 01:01:57,680
Speaker 2: gonna if I'm gonna take a hit, tell me I'm

1043
01:01:57,680 --> 01:01:59,280
Speaker 2: gonna take a hit. That way, I can be prepared

1044
01:01:59,320 --> 01:02:01,280
Speaker 2: to defend it, you know. But if you're going to

1045
01:02:01,320 --> 01:02:04,080
Speaker 2: be you know, less than honorable in telling us the

1046
01:02:04,080 --> 01:02:07,480
Speaker 2: effects and or your intentions, then that's a problem for

1047
01:02:07,520 --> 01:02:08,400
Speaker 2: the people that tell us that.

1048
01:02:19,440 --> 01:02:22,120
Speaker 1: When we look at you know, you've pointed out how

1049
01:02:22,120 --> 01:02:24,040
Speaker 1: close an age we are. And in some ways, when

1050
01:02:24,080 --> 01:02:27,160
Speaker 1: you and I were growing up, Democrats were the party

1051
01:02:27,160 --> 01:02:31,320
Speaker 1: of labor. Republicans were to party of business. As you

1052
01:02:31,360 --> 01:02:35,760
Speaker 1: and I became adults, the Democrats started to become they're

1053
01:02:35,880 --> 01:02:38,440
Speaker 1: basically the Clinton wing of the party became the party

1054
01:02:38,480 --> 01:02:41,600
Speaker 1: of business also. So then all of a sudden, and

1055
01:02:41,680 --> 01:02:44,640
Speaker 1: there was this moment where it looked like labor was

1056
01:02:45,280 --> 01:02:50,040
Speaker 1: shrinking and shrinking and shrinking. Then then I think that

1057
01:02:50,440 --> 01:02:53,320
Speaker 1: the Great Recession sort of awoken to people right and

1058
01:02:53,480 --> 01:02:58,560
Speaker 1: suddenly there was people realized, oh, job protections did maybe

1059
01:02:58,560 --> 01:03:02,440
Speaker 1: I can't trust these entities. Where would you see was

1060
01:03:02,440 --> 01:03:06,440
Speaker 1: was was the setup? A mistake back when we were kids,

1061
01:03:06,840 --> 01:03:09,240
Speaker 1: that labor shouldn't have been tied to one party, and

1062
01:03:09,280 --> 01:03:11,560
Speaker 1: frankly business shouldn't have been tied to one party.

1063
01:03:12,440 --> 01:03:14,240
Speaker 2: Yeah, I mean, I think if we all had a

1064
01:03:14,320 --> 01:03:16,720
Speaker 2: duel of us, so to speak, no, we know now,

1065
01:03:17,280 --> 01:03:20,800
Speaker 2: I think most of us would adopt the philosophy that

1066
01:03:20,840 --> 01:03:24,120
Speaker 2: we're trying to adopt now. From my union, I can

1067
01:03:24,120 --> 01:03:25,360
Speaker 2: only speak for my.

1068
01:03:25,440 --> 01:03:29,280
Speaker 1: Union being Teamster's transactional rather than D and R.

1069
01:03:29,400 --> 01:03:32,760
Speaker 2: Right, right, it's just what's who is going to bet?

1070
01:03:32,840 --> 01:03:35,440
Speaker 2: Who was going to you know, make decisions that are

1071
01:03:35,440 --> 01:03:38,000
Speaker 2: going to support working people. I mean, that's it's it's

1072
01:03:38,080 --> 01:03:41,240
Speaker 2: not hard, it's pretty simple. And I think oftentimes we

1073
01:03:41,360 --> 01:03:44,920
Speaker 2: complicate too many things. But I think if we had

1074
01:03:44,920 --> 01:03:48,560
Speaker 2: a do over, it wouldn't be just you know, embracing

1075
01:03:48,600 --> 01:03:51,720
Speaker 2: one party versus the other. And conversely, you know, one

1076
01:03:51,760 --> 01:03:56,400
Speaker 2: party shouldn't embrace big business versus working people either. I mean,

1077
01:03:56,400 --> 01:03:58,920
Speaker 2: I think both sides are guilty of that, right, And

1078
01:03:59,160 --> 01:04:01,040
Speaker 2: who's paying the cost sequenceance for right now? I mean,

1079
01:04:01,040 --> 01:04:04,680
Speaker 2: you think about these trade deals, these trade deals right now,

1080
01:04:05,040 --> 01:04:08,160
Speaker 2: if you go back and you look at footage of

1081
01:04:08,520 --> 01:04:10,440
Speaker 2: you know, and again I don't want to seem like

1082
01:04:10,480 --> 01:04:13,320
Speaker 2: I'm picking on the guy Chuck Schumer. In nineteen ninety six,

1083
01:04:13,880 --> 01:04:17,640
Speaker 2: he's given a speech on the Senate floor, i believe,

1084
01:04:17,960 --> 01:04:21,240
Speaker 2: or maybe the House floor saying how bad the Chinadale

1085
01:04:21,360 --> 01:04:23,880
Speaker 2: is and how we need to these tariffs and all

1086
01:04:23,880 --> 01:04:27,080
Speaker 2: this other stuff. And then two thousand and seven, two

1087
01:04:27,120 --> 01:04:30,880
Speaker 2: thousand and eight, Hillary Clinton's you know, explaining her policy

1088
01:04:30,880 --> 01:04:35,840
Speaker 2: and immigration. Now fast forward, you know, the same positions

1089
01:04:35,840 --> 01:04:39,480
Speaker 2: that these folks were taking, you know, fifteen twenty years ago,

1090
01:04:40,240 --> 01:04:44,840
Speaker 2: is the same policy is basically implemented under this administration,

1091
01:04:45,320 --> 01:04:48,160
Speaker 2: although the immigration policy has been a little bit more

1092
01:04:48,200 --> 01:04:52,680
Speaker 2: aggressive than probably people thought, which you know, again that's

1093
01:04:52,720 --> 01:04:58,040
Speaker 2: another debate for another conversation. But it's like contradicting it

1094
01:04:58,160 --> 01:05:02,000
Speaker 2: best So for me and you, we've been fortunate enough

1095
01:05:02,040 --> 01:05:04,920
Speaker 2: to look at what the argument was from the Dems

1096
01:05:05,520 --> 01:05:08,040
Speaker 2: then to what it is now, what the arguments from

1097
01:05:08,040 --> 01:05:11,600
Speaker 2: the Republicans were then, and where we are now. It's

1098
01:05:11,640 --> 01:05:15,280
Speaker 2: like it's so contradicting, Like who do you believe?

1099
01:05:16,000 --> 01:05:19,320
Speaker 1: Well, that's quite curious. You know, I've watched Marco Rubio

1100
01:05:19,640 --> 01:05:22,080
Speaker 1: as a senator started to do this transition, right, the

1101
01:05:22,120 --> 01:05:26,560
Speaker 1: guy who ran in twenty ten in twenty sixteen versus

1102
01:05:26,600 --> 01:05:30,160
Speaker 1: the guy you saw run for reelection in twenty twenty two.

1103
01:05:32,880 --> 01:05:34,640
Speaker 1: Do you believe him?

1104
01:05:35,000 --> 01:05:35,120
Speaker 2: So?

1105
01:05:35,480 --> 01:05:38,680
Speaker 4: I don't know him that well, okay, and I don't

1106
01:05:38,680 --> 01:05:41,160
Speaker 4: want to pay I'm not picking on him, but he's

1107
01:05:41,200 --> 01:05:43,920
Speaker 4: an example of somebody that has shifted to being a

1108
01:05:43,920 --> 01:05:46,320
Speaker 4: bit more friendly to your positions.

1109
01:05:46,360 --> 01:05:49,800
Speaker 1: But the question is whether you how do you get trusted?

1110
01:05:49,920 --> 01:05:52,400
Speaker 1: Is it just rhetorical? Is he only there for the voters?

1111
01:05:52,440 --> 01:05:52,640
Speaker 1: You know?

1112
01:05:52,720 --> 01:05:55,080
Speaker 2: No? So I agree with you he has he has

1113
01:05:55,160 --> 01:05:57,440
Speaker 2: gotten a lot more sympathetic to our issues. I had

1114
01:05:57,440 --> 01:06:01,760
Speaker 2: a conversation with him, and again I met a lot

1115
01:06:01,800 --> 01:06:04,560
Speaker 2: of these folks at the r n c UH when

1116
01:06:04,600 --> 01:06:06,520
Speaker 2: I went there, But I had a conversation about a

1117
01:06:06,560 --> 01:06:09,760
Speaker 2: month ago at the White House, and he probably didn't

1118
01:06:09,760 --> 01:06:11,160
Speaker 2: know me from a hole in the wall prior to

1119
01:06:11,160 --> 01:06:13,400
Speaker 2: the r n C. But he came right up to

1120
01:06:13,440 --> 01:06:15,200
Speaker 2: me and he gave me his whole history of his

1121
01:06:15,280 --> 01:06:18,640
Speaker 2: dad being a hotel worker, losing his job they went

1122
01:06:18,720 --> 01:06:22,120
Speaker 2: on strike, and he said all the right things, and

1123
01:06:22,160 --> 01:06:26,160
Speaker 2: he's like, look, I I like I embraced unions. It

1124
01:06:26,360 --> 01:06:29,000
Speaker 2: helped me through my whole you know, childhood. We let

1125
01:06:29,160 --> 01:06:32,840
Speaker 2: we led a good middle class life. So he's saying

1126
01:06:32,880 --> 01:06:35,200
Speaker 2: all the right things and the dealings that we've had

1127
01:06:35,200 --> 01:06:38,640
Speaker 2: to deal with them on he's been fair. You know. Now,

1128
01:06:38,720 --> 01:06:44,960
Speaker 2: whether that's you know, uh, sincerity or politically motivated, the

1129
01:06:45,000 --> 01:06:48,120
Speaker 2: truth always comes out. I mean, So if you had

1130
01:06:48,160 --> 01:06:51,120
Speaker 2: to ask me out, how's Marc Roomobile, nice guy, great

1131
01:06:51,120 --> 01:06:53,680
Speaker 2: conversations with him, says all the right things.

1132
01:06:54,960 --> 01:06:58,720
Speaker 1: When you what do you make of of of this

1133
01:06:59,280 --> 01:07:02,760
Speaker 1: shift in the Publican party over the last ten years?

1134
01:07:02,880 --> 01:07:06,360
Speaker 1: Is it how much of it's been just rhetorical and

1135
01:07:06,400 --> 01:07:08,400
Speaker 1: how much of it have you actually seen in policy?

1136
01:07:08,560 --> 01:07:11,880
Speaker 2: So I'll tell you I can probably go a little

1137
01:07:11,880 --> 01:07:15,120
Speaker 2: bit more. I can probably give a better better description

1138
01:07:16,000 --> 01:07:17,600
Speaker 2: over the last three and a half years and ten

1139
01:07:17,680 --> 01:07:23,680
Speaker 2: years because I come from Massachusetts, right and in Massachusetts

1140
01:07:23,760 --> 01:07:27,160
Speaker 2: as you know, especially Boston, That's where I'm from.

1141
01:07:28,120 --> 01:07:30,000
Speaker 1: You know, I never would have I never would have guessed,

1142
01:07:30,400 --> 01:07:35,600
Speaker 1: you know, yeah, you have this, you have this southern accent, shocked.

1143
01:07:35,680 --> 01:07:40,040
Speaker 2: Cowboy boots on two. But uh, you know, we never

1144
01:07:40,080 --> 01:07:43,760
Speaker 2: looked at it as that was there Republicans, because how

1145
01:07:43,760 --> 01:07:46,600
Speaker 2: I looked at it, and this philosophy is unqualified opinion.

1146
01:07:47,080 --> 01:07:50,200
Speaker 2: I always looked at people are only a certain party

1147
01:07:50,240 --> 01:07:55,280
Speaker 2: affiliation because of the zip code where they lived. Right,

1148
01:07:55,920 --> 01:08:00,240
Speaker 2: nine out of ten times, there was bipartisanship on any

1149
01:08:00,480 --> 01:08:03,640
Speaker 2: and most issues. So when I came to d C

1150
01:08:03,760 --> 01:08:06,400
Speaker 2: three and a half years ago, and we had a

1151
01:08:06,400 --> 01:08:08,640
Speaker 2: lot of success working with the legislation. I did twenty

1152
01:08:08,720 --> 01:08:11,120
Speaker 2: years as a head of Local twenty five in Boston,

1153
01:08:11,160 --> 01:08:13,760
Speaker 2: the one of the biggest locals, and I had a

1154
01:08:13,760 --> 01:08:16,320
Speaker 2: great relationships with both Democrats and Republicans. We got a

1155
01:08:16,360 --> 01:08:20,960
Speaker 2: lot of good work done. We've got autism autism legislation

1156
01:08:21,080 --> 01:08:26,599
Speaker 2: past mandating private insurance companies to provide services for families

1157
01:08:26,600 --> 01:08:29,840
Speaker 2: with autism. We passed movie tax and centers into perpetuity.

1158
01:08:29,840 --> 01:08:32,160
Speaker 2: That's going to support an industry, and that was all

1159
01:08:32,160 --> 01:08:36,000
Speaker 2: bipartisan did a lot of great work. Brought casinos to Boston.

1160
01:08:36,120 --> 01:08:38,960
Speaker 2: So when I came here, I'm like, you know, I'll

1161
01:08:38,960 --> 01:08:41,400
Speaker 2: take the JV and I don't mean that disrespectful, the

1162
01:08:41,479 --> 01:08:44,720
Speaker 2: junior varsity template, and we're going to bring into the

1163
01:08:44,800 --> 01:08:49,080
Speaker 2: varsity game. And we started reaching out across the aisle

1164
01:08:49,200 --> 01:08:53,120
Speaker 2: talking new people like our age demographic, like Jade, like

1165
01:08:53,760 --> 01:08:58,759
Speaker 2: Josh Hawley, jd Vance, Roger Marshall, a lot of folks

1166
01:08:58,800 --> 01:09:01,920
Speaker 2: that we had a lot in common with may not

1167
01:09:02,040 --> 01:09:05,600
Speaker 2: agreed on everything. And that's how last three and a

1168
01:09:05,600 --> 01:09:09,280
Speaker 2: half years, I think the one thing that we've done well,

1169
01:09:10,000 --> 01:09:12,840
Speaker 2: which is always room for employment, is reached across the island.

1170
01:09:12,920 --> 01:09:16,320
Speaker 2: Had conversations. So, for instance, Josh Howley, when I first

1171
01:09:16,360 --> 01:09:19,120
Speaker 2: met with him, we talked about a lot of issues,

1172
01:09:19,280 --> 01:09:21,280
Speaker 2: told him how many members we had in the state,

1173
01:09:21,880 --> 01:09:24,599
Speaker 2: and we said, you know, we don't support national right

1174
01:09:24,680 --> 01:09:26,439
Speaker 2: to work. We don't support right to work. And he said,

1175
01:09:26,439 --> 01:09:28,599
Speaker 2: why I support right to work. I'm like, well, tell

1176
01:09:28,600 --> 01:09:31,800
Speaker 2: me why. And we had this conversation. I told him

1177
01:09:31,840 --> 01:09:33,960
Speaker 2: why we didn't and we put out some you know,

1178
01:09:34,040 --> 01:09:38,559
Speaker 2: facts and figures. Do you know he flipped his narrative

1179
01:09:38,680 --> 01:09:41,559
Speaker 2: right away and said, you know, I no longer support

1180
01:09:41,600 --> 01:09:44,040
Speaker 2: right to work. This is not getting the constituents. So

1181
01:09:44,120 --> 01:09:47,360
Speaker 2: think about if we didn't have those conversations, and look

1182
01:09:47,840 --> 01:09:51,400
Speaker 2: not all of them in the success story that you know, look.

1183
01:09:51,320 --> 01:09:54,040
Speaker 1: I look holly to me, you know, I look I

1184
01:09:54,080 --> 01:09:56,760
Speaker 1: am not. I am more and more convinced that it

1185
01:09:56,800 --> 01:09:59,800
Speaker 1: doesn't matter who you elected, it matters what your incentives are.

1186
01:10:00,120 --> 01:10:03,760
Speaker 1: Right right, he lives in a state. You just said

1187
01:10:03,760 --> 01:10:07,360
Speaker 1: it it's a union state. It's a conservative state culturally, right,

1188
01:10:07,400 --> 01:10:11,519
Speaker 1: but it's a union state, always has been, and which

1189
01:10:11,560 --> 01:10:15,760
Speaker 1: is why I think that whole you know, Missouri, the

1190
01:10:15,800 --> 01:10:18,840
Speaker 1: Democrats hung on longer there than because of the fight

1191
01:10:18,880 --> 01:10:19,679
Speaker 1: over right to work.

1192
01:10:19,920 --> 01:10:21,280
Speaker 2: Now you look at you look at you look at

1193
01:10:21,280 --> 01:10:25,240
Speaker 2: Ohio for instance, right that used to be completely blue,

1194
01:10:25,800 --> 01:10:29,240
Speaker 2: right right, pretty much a lot of industry Ohio was

1195
01:10:29,320 --> 01:10:31,640
Speaker 2: crushed with these bad trade deals. I mean when you

1196
01:10:31,720 --> 01:10:34,120
Speaker 2: really think about it. So what we've focused on is

1197
01:10:34,160 --> 01:10:36,600
Speaker 2: and then this is the example of you know, my

1198
01:10:36,920 --> 01:10:39,439
Speaker 2: unqualified opinion in the last three and a half years

1199
01:10:40,040 --> 01:10:44,400
Speaker 2: is you get Senator Bernie Marino, Republican. I mean, he's embracing,

1200
01:10:44,840 --> 01:10:48,360
Speaker 2: he's embracing, uh, you know, a lot of policies, pushing

1201
01:10:48,400 --> 01:10:51,240
Speaker 2: forward a lot of our agenda because he represents those

1202
01:10:51,280 --> 01:10:54,320
Speaker 2: people that were affected in Ohio and as a result,

1203
01:10:54,439 --> 01:10:58,240
Speaker 2: i mean he first hand witnessed, you know, the demonization

1204
01:10:58,320 --> 01:11:00,240
Speaker 2: of industry in Ohio as a result of the bad

1205
01:11:00,280 --> 01:11:03,200
Speaker 2: trade deals. He's been another breath of fresh air that

1206
01:11:03,320 --> 01:11:07,160
Speaker 2: we're working with. Senator Eustad as well, who came in,

1207
01:11:07,320 --> 01:11:12,240
Speaker 2: you know, filling Vice President Vance's seat, has also started

1208
01:11:12,280 --> 01:11:14,759
Speaker 2: to come to that philosophy. Plus it's an election.

1209
01:11:14,880 --> 01:11:18,639
Speaker 1: Yeah right, he's face and a guy like Shared Brown,

1210
01:11:18,640 --> 01:11:20,599
Speaker 1: who I'm sure you do have a relationship with.

1211
01:11:20,840 --> 01:11:23,800
Speaker 2: We do it. And Shared Brown wasn't happy that I

1212
01:11:23,840 --> 01:11:26,360
Speaker 2: went and spoke at the r n c R. And

1213
01:11:26,840 --> 01:11:28,759
Speaker 2: I said, look, I would have gave that same speech

1214
01:11:28,800 --> 01:11:32,000
Speaker 2: had I been invited to the DNC. And you know,

1215
01:11:32,040 --> 01:11:33,560
Speaker 2: it's funny in politics.

1216
01:11:33,840 --> 01:11:36,240
Speaker 1: And you know, still trying to understand why you weren't

1217
01:11:36,240 --> 01:11:38,360
Speaker 1: invited to the dancing. I don't know you have a

1218
01:11:38,400 --> 01:11:39,120
Speaker 1: good explanation.

1219
01:11:39,560 --> 01:11:41,280
Speaker 2: I no, I wish I did. I wish I did.

1220
01:11:41,320 --> 01:11:44,360
Speaker 2: But you know, I listen, I tell people all the

1221
01:11:44,400 --> 01:11:47,360
Speaker 2: time when I at my age, when I don't get

1222
01:11:47,400 --> 01:11:50,880
Speaker 2: invited to weddings, I'm okay, because I'll just send a check.

1223
01:11:50,880 --> 01:11:53,600
Speaker 1: I don't need to go. But it's so funny you

1224
01:11:53,640 --> 01:11:55,840
Speaker 1: say that, right. You know, my wife and I joke

1225
01:11:55,880 --> 01:11:57,800
Speaker 1: about this all the time. You hit a certain age. First,

1226
01:11:58,080 --> 01:12:00,240
Speaker 1: you're younger, you're like, how come I didn't get invited this?

1227
01:12:00,520 --> 01:12:02,559
Speaker 1: You're older, you're like, God, why did I get invited

1228
01:12:02,600 --> 01:12:02,840
Speaker 1: to this?

1229
01:12:02,920 --> 01:12:04,720
Speaker 2: So I tell people all the time, look, don't invite me,

1230
01:12:04,800 --> 01:12:07,440
Speaker 2: I'm going to send a check. Anyways, it's a fundraiser.

1231
01:12:07,840 --> 01:12:10,240
Speaker 2: Just don't invite me. Know that I'm thinking of you.

1232
01:12:10,400 --> 01:12:15,120
Speaker 2: I'll send a donation, right, But no, I mean it's

1233
01:12:15,240 --> 01:12:18,760
Speaker 2: our I mean, it's it's there. There's some good Republicans

1234
01:12:18,800 --> 01:12:21,680
Speaker 2: coming along that way having dialogue. Now there's something that

1235
01:12:22,120 --> 01:12:25,960
Speaker 2: no matter what dialogue we have and or case we make,

1236
01:12:26,120 --> 01:12:28,320
Speaker 2: they're just rigid. They're rigid and not going to move.

1237
01:12:28,680 --> 01:12:32,920
Speaker 2: And that's okay too. But you know, I think the

1238
01:12:32,960 --> 01:12:36,800
Speaker 2: last three and a half years, the conversations UH have

1239
01:12:36,960 --> 01:12:41,639
Speaker 2: been have been very positive. Uh in continuing even if

1240
01:12:41,640 --> 01:12:45,720
Speaker 2: we agree to disagree on issues. My goal, and I

1241
01:12:45,760 --> 01:12:48,880
Speaker 2: think I think I would love it to be everybody's goal,

1242
01:12:48,960 --> 01:12:52,280
Speaker 2: especially now. I mean, this is such an awful, hostile,

1243
01:12:52,760 --> 01:12:57,120
Speaker 2: gross time in the United States when you fail to

1244
01:12:57,200 --> 01:13:00,519
Speaker 2: keep communicating regardlessel of talks are going good about. Yeah,

1245
01:13:01,479 --> 01:13:04,000
Speaker 2: you're failing your job. You're failing your constituents.

1246
01:13:04,280 --> 01:13:08,439
Speaker 1: What could Kamala Harris have done differently to earn a

1247
01:13:08,600 --> 01:13:09,880
Speaker 1: even co endorsement from you?

1248
01:13:10,320 --> 01:13:15,160
Speaker 2: Not run for president? No, it was just never gonna Yeah,

1249
01:13:15,160 --> 01:13:17,559
Speaker 2: it's just it wasn't gonna happen for US members. We

1250
01:13:17,560 --> 01:13:20,200
Speaker 2: we did some significant pulling. I must suggest I'm not

1251
01:13:20,200 --> 01:13:24,920
Speaker 2: getting personal, but uh, let me let me back up

1252
01:13:24,960 --> 01:13:27,760
Speaker 2: for a second. Joe Biden was was was great to

1253
01:13:27,920 --> 01:13:30,120
Speaker 2: unions as a president. I'm never gonna take that away

1254
01:13:30,120 --> 01:13:30,759
Speaker 2: from him.

1255
01:13:31,120 --> 01:13:33,080
Speaker 1: When he came in, he was probably the most pro

1256
01:13:33,160 --> 01:13:36,200
Speaker 1: union president he was you have ever had, We've had

1257
01:13:36,240 --> 01:13:36,960
Speaker 1: since FDR.

1258
01:13:37,400 --> 01:13:41,920
Speaker 2: There's no doubt, there is no doubt. And again, uh,

1259
01:13:42,320 --> 01:13:45,280
Speaker 2: you know, people always remind you of what they've done

1260
01:13:45,320 --> 01:13:47,040
Speaker 2: for you in the past, not what they're going to

1261
01:13:47,120 --> 01:13:49,960
Speaker 2: do for you in the future. And Joe Biden came

1262
01:13:50,160 --> 01:13:51,920
Speaker 2: and met with us, and I got to tell you, like,

1263
01:13:52,000 --> 01:13:54,559
Speaker 2: I felt bad. I really did, because you know, I

1264
01:13:54,640 --> 01:13:57,840
Speaker 2: was brought up to be always respectful of people that

1265
01:13:57,880 --> 01:14:00,879
Speaker 2: are older than you, be just always respect these, respect

1266
01:14:00,880 --> 01:14:04,679
Speaker 2: the person, and you know, he lost his fastball, and

1267
01:14:05,160 --> 01:14:08,599
Speaker 2: it was like, you know, part of it for me personally,

1268
01:14:08,720 --> 01:14:12,120
Speaker 2: was like it just looks like someone's being propped up

1269
01:14:12,520 --> 01:14:14,439
Speaker 2: and then not looking out for his best interest, in

1270
01:14:14,520 --> 01:14:17,000
Speaker 2: looking out for their own personal interest. And then when

1271
01:14:17,280 --> 01:14:20,040
Speaker 2: you know, he dropped out of the race and Kamala

1272
01:14:20,120 --> 01:14:25,080
Speaker 2: came in, it kind of gave the sense of it

1273
01:14:25,120 --> 01:14:28,560
Speaker 2: was like a birthright for her to be the candidate.

1274
01:14:29,240 --> 01:14:31,840
Speaker 2: And you know that was a big, big mistake I

1275
01:14:31,840 --> 01:14:34,920
Speaker 2: think on the Democratic Party. This should have been a

1276
01:14:34,960 --> 01:14:39,080
Speaker 2: continguency plan two years prior to the election, and that

1277
01:14:39,240 --> 01:14:41,559
Speaker 2: wasn't there. And you know, you hear all these stories

1278
01:14:41,600 --> 01:14:44,400
Speaker 2: living in DC. You know that he was going to

1279
01:14:44,439 --> 01:14:47,680
Speaker 2: be a transitional president. There was a meeting, and you know,

1280
01:14:47,760 --> 01:14:49,800
Speaker 2: he got pushed back from a lot of staff, people

1281
01:14:49,840 --> 01:14:52,280
Speaker 2: that whose jobs could have been in jeopardy, all this

1282
01:14:52,360 --> 01:14:54,960
Speaker 2: other stuff. I mean, I think, you know, hey, she

1283
01:14:55,080 --> 01:14:59,840
Speaker 2: ran for the president. She lost. You can't recreate history.

1284
01:15:00,240 --> 01:15:02,439
Speaker 2: But I don't think she was the best candidate. You know,

1285
01:15:02,840 --> 01:15:04,920
Speaker 2: if I really had to think about, there were a

1286
01:15:04,960 --> 01:15:06,920
Speaker 2: lot more candidates out there and it probably would have

1287
01:15:06,960 --> 01:15:09,200
Speaker 2: gave Trump a run for his money.

1288
01:15:09,400 --> 01:15:12,520
Speaker 1: Would you describe your membership as pretty fifty to fifty.

1289
01:15:12,560 --> 01:15:15,439
Speaker 2: No, sixty, It was sixty five thirty five. When we

1290
01:15:15,479 --> 01:15:18,439
Speaker 2: did a polling, we did significant polling. We actually sixty

1291
01:15:18,479 --> 01:15:23,320
Speaker 2: five for Trump Republican. Yes, so we did so. I'll

1292
01:15:23,320 --> 01:15:25,960
Speaker 2: tell you it was interesting. We've never done this before

1293
01:15:26,000 --> 01:15:28,400
Speaker 2: as an organization. But you know, we're out in the

1294
01:15:28,439 --> 01:15:30,599
Speaker 2: field every single day and we're talking to our members

1295
01:15:30,840 --> 01:15:34,880
Speaker 2: social media. There's so much communication and some of it's

1296
01:15:34,920 --> 01:15:40,200
Speaker 2: not credible, but you could just see members gravitating towards Republicans.

1297
01:15:40,200 --> 01:15:41,960
Speaker 2: And I don't think it was just because it was Trump.

1298
01:15:42,000 --> 01:15:44,599
Speaker 2: I think it's just, you know, the Democrats weren't control

1299
01:15:45,640 --> 01:15:48,360
Speaker 2: the last sixteen out of twenty years, and what really

1300
01:15:48,360 --> 01:15:50,920
Speaker 2: have we got done? What really Democrats do for us?

1301
01:15:50,960 --> 01:15:56,400
Speaker 2: Under Obama we had a Democratic House, Senate, and president.

1302
01:15:56,760 --> 01:15:58,960
Speaker 2: And our biggest issue back then was the Employee Free

1303
01:15:59,080 --> 01:16:02,120
Speaker 2: Choice Act should have been a layout right, which was

1304
01:16:02,160 --> 01:16:05,920
Speaker 2: basically the pro Act right that didn't happen. And then

1305
01:16:06,400 --> 01:16:07,440
Speaker 2: under Biden.

1306
01:16:07,439 --> 01:16:11,679
Speaker 1: This was the basically the ability to ask for collective

1307
01:16:11,680 --> 01:16:12,679
Speaker 1: bargaining right.

1308
01:16:12,560 --> 01:16:15,760
Speaker 2: The ability of an employer to once there was a

1309
01:16:15,800 --> 01:16:20,080
Speaker 2: majority status, to recognize and sit down and bargain and

1310
01:16:20,240 --> 01:16:22,680
Speaker 2: you know, come to a collective bargain agreement. And it

1311
01:16:22,680 --> 01:16:25,519
Speaker 2: should have been a layup. But it again, that's part

1312
01:16:25,520 --> 01:16:27,920
Speaker 2: of the reason why our members started defecting. They were

1313
01:16:27,960 --> 01:16:31,120
Speaker 2: seeing time and time again that you know, the working

1314
01:16:31,120 --> 01:16:33,960
Speaker 2: people's agendas weren't being put forward. I mean, you think

1315
01:16:34,000 --> 01:16:38,920
Speaker 2: about bankruptcy. Bankruptcy laws in this country are antiquated and

1316
01:16:38,960 --> 01:16:41,680
Speaker 2: we deal with it all the time when companies go bankrupt.

1317
01:16:41,840 --> 01:16:45,360
Speaker 1: This is an Elizabeth Warren obsession right, the bankruptcy legislation.

1318
01:16:45,000 --> 01:16:48,240
Speaker 2: Right when companies go bankrupt, and we've seen it, you know,

1319
01:16:48,320 --> 01:16:52,360
Speaker 2: everybody gets this right. We had the last line of

1320
01:16:52,479 --> 01:16:56,200
Speaker 2: creditors h in the line and.

1321
01:16:56,280 --> 01:16:57,800
Speaker 1: Not even treated as creditors.

1322
01:16:57,920 --> 01:17:02,400
Speaker 2: No, we're treated a quodity commodity right, like we'll throw

1323
01:17:02,439 --> 01:17:05,120
Speaker 2: them three cents on the dollar and tell them that's

1324
01:17:05,120 --> 01:17:05,680
Speaker 2: not we can do.

1325
01:17:05,840 --> 01:17:05,920
Speaker 1: So.

1326
01:17:06,439 --> 01:17:09,200
Speaker 2: You know, the whole system has failed us. And even

1327
01:17:09,200 --> 01:17:13,360
Speaker 2: when there were times like under strong Democratic leadership, you know,

1328
01:17:13,680 --> 01:17:18,040
Speaker 2: our issues weren't taken in consideration. Now, one thing that

1329
01:17:19,200 --> 01:17:23,759
Speaker 2: Biden did unbelievable for us on is, you know, funding

1330
01:17:23,760 --> 01:17:26,479
Speaker 2: these pension funds so that they didn't collapse. And I

1331
01:17:26,560 --> 01:17:29,200
Speaker 2: say that all the time, and that got thrown in

1332
01:17:29,240 --> 01:17:32,160
Speaker 2: my face when I spoke at the RNC right after it.

1333
01:17:32,720 --> 01:17:35,680
Speaker 2: You know a lot of Democrats like Sheard Brown was

1334
01:17:35,720 --> 01:17:37,320
Speaker 2: not happy that I spoke there. He came to my

1335
01:17:37,360 --> 01:17:41,080
Speaker 2: office and he said, you know, I help with that legislation.

1336
01:17:41,120 --> 01:17:44,680
Speaker 2: Butch lewis no doubt you helped us with that legislation.

1337
01:17:44,720 --> 01:17:47,439
Speaker 2: And we are grateful we got pensions. They're going to

1338
01:17:47,479 --> 01:17:50,720
Speaker 2: be solving till twenty fifty one. People aren't going to

1339
01:17:50,760 --> 01:17:54,040
Speaker 2: have to worry about that was the right thing to do. However,

1340
01:17:55,040 --> 01:17:58,519
Speaker 2: who broke them? Who broke these pensions? What do you mean?

1341
01:17:58,840 --> 01:18:00,760
Speaker 2: And I had the same conversation with a lot of

1342
01:18:00,760 --> 01:18:04,120
Speaker 2: other Democratic senators. I said, in nineteen eighty, Ted Kennedy

1343
01:18:04,160 --> 01:18:08,800
Speaker 2: from Massachusetts pass legislation deregulation the trucking industry. The Team

1344
01:18:08,840 --> 01:18:11,680
Speaker 2: States Union lost four hundred thousand trucking jobs, and that

1345
01:18:11,760 --> 01:18:15,280
Speaker 2: deregulation started filtering into other industries. If you lose four

1346
01:18:15,360 --> 01:18:19,679
Speaker 2: hundred thousand jobs, that's four hundred thousand contributions times forty

1347
01:18:19,680 --> 01:18:22,679
Speaker 2: hours a week, times you know, fifty two weeks a year.

1348
01:18:23,320 --> 01:18:27,559
Speaker 2: That is a significant drain on these funds, you know,

1349
01:18:27,840 --> 01:18:30,600
Speaker 2: each year goes on. And then take into consideration a

1350
01:18:30,600 --> 01:18:34,360
Speaker 2: lot of these companies, good companies were forced into bankruptcy

1351
01:18:34,960 --> 01:18:37,720
Speaker 2: where none of these moneies were captured because the bankruptcy

1352
01:18:37,760 --> 01:18:40,720
Speaker 2: laws didn't pass. And I said, look, I'm very grateful

1353
01:18:41,520 --> 01:18:45,000
Speaker 2: you fixed the problem that you helped create. And I

1354
01:18:45,160 --> 01:18:47,880
Speaker 2: use this analogy. I'm playing street arc in my neighborhood

1355
01:18:48,200 --> 01:18:53,240
Speaker 2: nineteen eighty' you know, eight years old, right, I break

1356
01:18:53,320 --> 01:18:57,400
Speaker 2: my mother's window. Forty years later, I say, I'm going

1357
01:18:57,479 --> 01:19:00,200
Speaker 2: to fix that window. Should I look for accolae. It's

1358
01:19:00,200 --> 01:19:03,519
Speaker 2: from my mother for fixing a problem that I helped create.

1359
01:19:04,120 --> 01:19:05,960
Speaker 2: And Joe Biden was the center. He signed off on

1360
01:19:06,000 --> 01:19:08,720
Speaker 2: the legislation of deregulation, and that was when Reagan was

1361
01:19:08,760 --> 01:19:11,160
Speaker 2: a president, who by the way, we endorsed Reagan as well.

1362
01:19:11,439 --> 01:19:15,120
Speaker 2: So it's you know, everybody lets you down on that one. Yeah, yeah,

1363
01:19:15,160 --> 01:19:17,680
Speaker 2: But my point is, you know, once you took a

1364
01:19:17,680 --> 01:19:19,920
Speaker 2: position like we did, because the polling we did and

1365
01:19:19,960 --> 01:19:23,800
Speaker 2: we did three intense poems, we did a strawhole in

1366
01:19:23,880 --> 01:19:26,479
Speaker 2: the Union halls where we could have tipped it should

1367
01:19:26,479 --> 01:19:30,040
Speaker 2: have been tipped like eighty twenty to Biden, and it

1368
01:19:30,120 --> 01:19:34,160
Speaker 2: was like, you know, thirty five percent Biden, thirty percent Trump.

1369
01:19:34,520 --> 01:19:38,800
Speaker 2: And then independent factored in as well, were like, all right,

1370
01:19:38,840 --> 01:19:41,040
Speaker 2: this isn't a good gauge. So then we do a

1371
01:19:41,040 --> 01:19:44,800
Speaker 2: publication every month, every quarter, I believe every month it's one.

1372
01:19:45,040 --> 01:19:49,000
Speaker 2: It goes to one point six million people. And we

1373
01:19:49,040 --> 01:19:53,400
Speaker 2: got rerecord participation with a with a code, a QR code,

1374
01:19:53,680 --> 01:19:55,479
Speaker 2: and Harris was in the race with Waltz at this

1375
01:19:55,520 --> 01:19:58,280
Speaker 2: point in time, and it went sixty five thirty five

1376
01:20:00,000 --> 01:20:02,439
Speaker 2: Republican and like all right, let's do one more pull.

1377
01:20:02,520 --> 01:20:06,439
Speaker 2: So we utilize the same polster that the Harris Waltz

1378
01:20:06,479 --> 01:20:09,760
Speaker 2: campaign utilized, and it was the same result as we

1379
01:20:09,840 --> 01:20:12,920
Speaker 2: got from the QR code of our members. So we

1380
01:20:12,920 --> 01:20:15,519
Speaker 2: were like, all right, we've got to represent sixty five

1381
01:20:15,520 --> 01:20:17,559
Speaker 2: percent of our members. We also have to represent the

1382
01:20:17,600 --> 01:20:21,040
Speaker 2: thirty five percent. You know, this is too close. We're

1383
01:20:21,040 --> 01:20:22,840
Speaker 2: going to we're going to take a pass. We're going

1384
01:20:22,920 --> 01:20:27,960
Speaker 2: to not make an endorsement. Local unions, joint counsils, they're autonomous.

1385
01:20:28,160 --> 01:20:29,639
Speaker 2: You do what you want to do in this one.

1386
01:20:29,880 --> 01:20:32,040
Speaker 1: And they kind of did, if I'm not mistakes, they did.

1387
01:20:31,920 --> 01:20:34,360
Speaker 2: But you know, the majority of them, I mean, California

1388
01:20:34,479 --> 01:20:39,000
Speaker 2: was probably the most outgoing for Harris and Wallas, and

1389
01:20:39,000 --> 01:20:43,439
Speaker 2: there were some other uh maybe maybe Illinois, but most people,

1390
01:20:43,640 --> 01:20:45,639
Speaker 2: you know, chose to take a step back as well,

1391
01:20:45,680 --> 01:20:48,120
Speaker 2: because again, now members of their constituents.

1392
01:20:48,520 --> 01:20:51,120
Speaker 1: What's your relationship these days with the rest of the

1393
01:20:51,200 --> 01:20:55,160
Speaker 1: labor movement, right that's it's sometimes with the collective of

1394
01:20:55,200 --> 01:20:57,679
Speaker 1: the AFL CIO and all of that, And they've been

1395
01:20:57,960 --> 01:21:00,439
Speaker 1: they've been back and forth overtime, and you know, to me,

1396
01:21:01,520 --> 01:21:04,519
Speaker 1: there's the teamsters, then there's the fl CIO. Is that

1397
01:21:04,520 --> 01:21:07,240
Speaker 1: that's still that's still the pecking order in your in

1398
01:21:07,280 --> 01:21:09,760
Speaker 1: your mind, you're not a member of a cio, right, Yeah?

1399
01:21:09,760 --> 01:21:11,360
Speaker 2: When not a member of the fl CIO, I mean

1400
01:21:11,360 --> 01:21:14,160
Speaker 2: they do good work, there's no doubt about it. We

1401
01:21:14,360 --> 01:21:19,000
Speaker 2: definitely represent different interests with our members versus you know there.

1402
01:21:19,000 --> 01:21:21,200
Speaker 1: Why aren't you a part of a fl CIA.

1403
01:21:21,439 --> 01:21:24,599
Speaker 2: You know what happened when probably about I think twenty

1404
01:21:24,680 --> 01:21:27,200
Speaker 2: years ago when you know, there was there was a

1405
01:21:27,280 --> 01:21:30,000
Speaker 2: rift between I think President Trumpker at that point in

1406
01:21:30,040 --> 01:21:32,599
Speaker 2: time and some of the other labor unions I think

1407
01:21:32,680 --> 01:21:36,720
Speaker 2: the laborers, the compenters, the teamsters. Uh. And there are

1408
01:21:36,720 --> 01:21:38,960
Speaker 2: a couple other affiliates. I think s c IU formed

1409
01:21:39,000 --> 01:21:40,559
Speaker 2: their own change to win coalition.

1410
01:21:40,640 --> 01:21:42,800
Speaker 1: Well I remember that that really blew things up.

1411
01:21:43,040 --> 01:21:47,600
Speaker 2: And withdrew withdrew uh the international unions. But you know

1412
01:21:47,640 --> 01:21:49,360
Speaker 2: a lot of the affiliates and that was one of them.

1413
01:21:49,360 --> 01:21:52,479
Speaker 2: In Boston, we stayed. We stayed with the fl CIO

1414
01:21:52,600 --> 01:21:55,880
Speaker 2: locally for some time. And that's still that's still the practice.

1415
01:21:55,920 --> 01:21:58,200
Speaker 2: That's the encouragement from us. We just you know, we

1416
01:21:58,280 --> 01:22:00,640
Speaker 2: do our own thing. We've got our own staff, we've

1417
01:22:00,640 --> 01:22:03,080
Speaker 2: got our ulnerability to lobby. We've got our own ability.

1418
01:22:03,200 --> 01:22:05,360
Speaker 2: I mean, there are times we work on projects together.

1419
01:22:06,200 --> 01:22:09,040
Speaker 2: I think, to your question, I'm gonna answer it honestly.

1420
01:22:09,800 --> 01:22:13,000
Speaker 2: I think, Uh, you know this, this some ill will

1421
01:22:13,720 --> 01:22:19,240
Speaker 2: from other unions on us not endorsing Vice President Harris.

1422
01:22:20,160 --> 01:22:21,840
Speaker 2: But you know, at the end of the day, Chuck,

1423
01:22:22,760 --> 01:22:26,520
Speaker 2: I will help any union. I will help any affiliate,

1424
01:22:27,160 --> 01:22:29,120
Speaker 2: even if we do have a difference of opinions. But

1425
01:22:29,600 --> 01:22:32,360
Speaker 2: you know there is I've heard some chatter now again

1426
01:22:32,920 --> 01:22:35,599
Speaker 2: when you see them, everybody is your best friend, right,

1427
01:22:36,080 --> 01:22:38,320
Speaker 2: but you know, you go online and you see everything.

1428
01:22:38,439 --> 01:22:41,120
Speaker 2: I don't take it personally, I get it. My whole

1429
01:22:41,240 --> 01:22:43,360
Speaker 2: focus and goal is I've got to serve the people

1430
01:22:43,360 --> 01:22:45,559
Speaker 2: that I'm elected to serve, and I got to make

1431
01:22:45,560 --> 01:22:49,200
Speaker 2: decisions and recommend decisions and the best interests in And

1432
01:22:49,560 --> 01:22:51,120
Speaker 2: you know, I believed at the time, and I still

1433
01:22:51,120 --> 01:22:54,759
Speaker 2: believe that we made the best decision possible. And look,

1434
01:22:54,920 --> 01:22:56,960
Speaker 2: we're in a good spot. I mean, some of these

1435
01:22:57,040 --> 01:23:01,759
Speaker 2: unions that criticized me with help broker meetings with with

1436
01:23:01,760 --> 01:23:05,639
Speaker 2: with the White House, you know, to you know, stop

1437
01:23:05,680 --> 01:23:09,599
Speaker 2: any kind of attack on a certain industry or to

1438
01:23:09,680 --> 01:23:14,360
Speaker 2: help facilitate a relationship. So look, I'm sure there's some

1439
01:23:14,479 --> 01:23:18,080
Speaker 2: hurt feelings, but even if we did endorse in the selection,

1440
01:23:18,280 --> 01:23:20,200
Speaker 2: it wouldn't have moved the needle. You know, we did

1441
01:23:20,200 --> 01:23:22,639
Speaker 2: what was the best. Interesting, look, we pulled our members,

1442
01:23:22,680 --> 01:23:25,400
Speaker 2: and you know, I think we made the right decision.

1443
01:23:25,880 --> 01:23:31,280
Speaker 1: So if Andy Basheer wes More, I'll throw a I'll

1444
01:23:31,280 --> 01:23:32,680
Speaker 1: throw a Gretchen Whitmer.

1445
01:23:33,200 --> 01:23:35,880
Speaker 2: Forget now, don't forget Josh Shapiro.

1446
01:23:35,840 --> 01:23:38,479
Speaker 1: Josh Shapiro, the four of them come to you and say,

1447
01:23:39,160 --> 01:23:41,120
Speaker 1: what do I do to make sure I'm not at

1448
01:23:41,120 --> 01:23:43,719
Speaker 1: the thirty five of a sixty five thirty five split

1449
01:23:43,760 --> 01:23:44,720
Speaker 1: in twenty twenty eight?

1450
01:23:44,960 --> 01:23:47,479
Speaker 2: I want to tell them? What do you tell them?

1451
01:23:47,840 --> 01:23:52,240
Speaker 2: Go out talk to your constituents our members, Remember to member,

1452
01:23:52,280 --> 01:23:56,959
Speaker 2: have faced to face conversations, ask their opinions. Don't dictate

1453
01:23:57,920 --> 01:24:01,240
Speaker 2: what they should be doing for you. You work for them.

1454
01:24:01,479 --> 01:24:03,519
Speaker 2: You need to win the trust back over and that

1455
01:24:03,600 --> 01:24:16,920
Speaker 2: was part of the problem.

1456
01:24:17,160 --> 01:24:19,280
Speaker 1: Give me an example of something. I mean, I've heard

1457
01:24:19,439 --> 01:24:22,160
Speaker 1: a similar. Look. You know, there's sort of this stereotype

1458
01:24:22,160 --> 01:24:24,919
Speaker 1: of that. I joke these days of Democrats and Republicans.

1459
01:24:25,000 --> 01:24:26,600
Speaker 1: Republicans go out of their way to agree with the

1460
01:24:26,680 --> 01:24:28,960
Speaker 1: voter Democrats go out of their way to convince the

1461
01:24:29,040 --> 01:24:32,559
Speaker 1: voter that they're right, and it's it's sort of a

1462
01:24:32,880 --> 01:24:35,160
Speaker 1: you know which, which is actually a much harder thing

1463
01:24:35,200 --> 01:24:35,439
Speaker 1: to do.

1464
01:24:35,640 --> 01:24:37,120
Speaker 2: I'm going to give your true testimonial.

1465
01:24:37,479 --> 01:24:37,719
Speaker 1: Yeah.

1466
01:24:37,800 --> 01:24:42,080
Speaker 2: I was speaking at an International Union's convention, probably about

1467
01:24:42,120 --> 01:24:46,240
Speaker 2: a month ago in Hawaii, and I was explaining just

1468
01:24:46,280 --> 01:24:48,280
Speaker 2: what I explained to you, the polling and everything else

1469
01:24:48,320 --> 01:24:53,120
Speaker 2: and after the whole And it was like in front

1470
01:24:53,160 --> 01:24:58,280
Speaker 2: of about five thousand people walking out, and a lady

1471
01:24:58,280 --> 01:25:00,120
Speaker 2: approaches me, and I can see it come and you

1472
01:25:00,360 --> 01:25:04,320
Speaker 2: just see the body language. And she walked right up

1473
01:25:04,360 --> 01:25:08,200
Speaker 2: to me and pointed her finger and said, what are

1474
01:25:08,240 --> 01:25:11,759
Speaker 2: you doing to educate those sixty five percent of the numbers?

1475
01:25:12,439 --> 01:25:15,320
Speaker 2: I said, I'm not doing anything to educate them. I said,

1476
01:25:15,880 --> 01:25:21,000
Speaker 2: what are the Democrats doing to find out why sixty

1477
01:25:21,600 --> 01:25:25,479
Speaker 2: sixty five percent of our members didn't support them. That's

1478
01:25:25,479 --> 01:25:27,800
Speaker 2: not up to me, that's up to the members. I said,

1479
01:25:27,840 --> 01:25:32,240
Speaker 2: that's the problem here. It's my job to educate someone

1480
01:25:32,280 --> 01:25:36,599
Speaker 2: who made a choice based upon you know, personal and

1481
01:25:36,800 --> 01:25:40,400
Speaker 2: or maybe validated concerns with the party. What do you

1482
01:25:40,439 --> 01:25:43,280
Speaker 2: want me to do? Is educating me telling what to do?

1483
01:25:43,439 --> 01:25:44,720
Speaker 2: Because that's not what we're going to do.

1484
01:25:45,479 --> 01:25:48,000
Speaker 1: You know, it's interesting, it's a dilemma. I know some

1485
01:25:48,240 --> 01:25:53,360
Speaker 1: unions have a similar split, particularly the Trades, where a

1486
01:25:53,400 --> 01:25:56,680
Speaker 1: majority of their members are Trump, but the leadership all

1487
01:25:56,760 --> 01:26:01,840
Speaker 1: went to the Democrats, right, and they do try to

1488
01:26:01,920 --> 01:26:04,240
Speaker 1: quote educate their members. Look, we know you may not

1489
01:26:04,520 --> 01:26:08,640
Speaker 1: like these issues, but do you know Speaker Pelosi is

1490
01:26:08,680 --> 01:26:11,280
Speaker 1: what got this done. And you may not like her,

1491
01:26:11,320 --> 01:26:16,120
Speaker 1: but here's why we're siding with her. Is that on

1492
01:26:16,200 --> 01:26:19,040
Speaker 1: a labor leader to explain or not, Oh.

1493
01:26:18,960 --> 01:26:21,920
Speaker 2: You have to. I think you have to in that scenario.

1494
01:26:22,160 --> 01:26:25,960
Speaker 2: Like I've been critical of both Republican and Democrats, however

1495
01:26:26,040 --> 01:26:28,639
Speaker 2: I always acknowledge what they've done for us or haven't

1496
01:26:28,640 --> 01:26:32,439
Speaker 2: done for us. So, you know, Chuck Schulmer, you know,

1497
01:26:32,560 --> 01:26:35,280
Speaker 2: reminds me every time he sees me that, you know

1498
01:26:35,320 --> 01:26:39,519
Speaker 2: he fixed our pensions. Well he didn't do it along, right,

1499
01:26:40,920 --> 01:26:43,519
Speaker 2: And I'll tell people, Look, Joe Biden was the most

1500
01:26:43,560 --> 01:26:47,320
Speaker 2: pro union president. He actually signed the legislation I fixed

1501
01:26:47,320 --> 01:26:50,080
Speaker 2: out pensions. And then I'll give them the story on why

1502
01:26:50,120 --> 01:26:53,599
Speaker 2: these pensions were broke, like I said to you, So, yeah,

1503
01:26:53,640 --> 01:26:55,439
Speaker 2: it is up to us to give the tale of

1504
01:26:55,479 --> 01:26:58,120
Speaker 2: the table on both sides as far as yeah, they

1505
01:26:58,120 --> 01:27:01,439
Speaker 2: did this over here, but I can also point to

1506
01:27:01,720 --> 01:27:04,080
Speaker 2: three or four different things that they haven't done either.

1507
01:27:04,400 --> 01:27:07,679
Speaker 2: Like I've had situations where saying, hey, you know, Josh

1508
01:27:07,680 --> 01:27:10,559
Speaker 2: Hally isn't for working people, or Roger Marshall's for working people.

1509
01:27:10,600 --> 01:27:13,679
Speaker 2: Oh really, I said, they signed on to support letters

1510
01:27:13,680 --> 01:27:16,120
Speaker 2: for our members, though we're potentially going to strike at ups.

1511
01:27:16,439 --> 01:27:21,240
Speaker 2: They signed on to help our rail workers who didn't

1512
01:27:21,240 --> 01:27:25,240
Speaker 2: have a contract for four years. Yeah, although so and

1513
01:27:25,280 --> 01:27:28,719
Speaker 2: so a Democrat might have, you know, said, taken credit

1514
01:27:28,760 --> 01:27:31,559
Speaker 2: for something. They didn't sign onto this legislation, as signed

1515
01:27:31,560 --> 01:27:33,960
Speaker 2: on to the support of this legislation, they didn't sign

1516
01:27:34,000 --> 01:27:37,000
Speaker 2: on to support Amazon workers. So we can always point

1517
01:27:37,040 --> 01:27:38,920
Speaker 2: and I think to your point, Yeah, we're going to

1518
01:27:38,960 --> 01:27:41,000
Speaker 2: point out what people have done for us, but we're

1519
01:27:41,000 --> 01:27:43,080
Speaker 2: also going to point out what they haven't done for us.

1520
01:27:45,600 --> 01:27:48,400
Speaker 1: We've spent a lot of time noting where Democrats have

1521
01:27:48,479 --> 01:27:51,880
Speaker 1: let you down. Why do you trust the these uh,

1522
01:27:53,120 --> 01:27:56,160
Speaker 1: the the your new allies, some of your new allies.

1523
01:27:56,479 --> 01:27:58,759
Speaker 2: Listen, I'm a Democrat, always going to be a Democrat.

1524
01:27:58,800 --> 01:28:02,760
Speaker 2: I don't trust anybody. Okay. I want to see when

1525
01:28:02,800 --> 01:28:05,920
Speaker 2: people say something looking And I was brought up and

1526
01:28:06,520 --> 01:28:08,240
Speaker 2: you know, I was brought up by a very very

1527
01:28:08,320 --> 01:28:12,719
Speaker 2: strong Irish woman and my very strong Irish father who's

1528
01:28:12,760 --> 01:28:14,320
Speaker 2: no longer with us. But the one thing they always

1529
01:28:14,320 --> 01:28:16,600
Speaker 2: said that all you have left in your life is

1530
01:28:16,640 --> 01:28:20,840
Speaker 2: your reputation and your work. And the Republicans have a

1531
01:28:20,840 --> 01:28:25,720
Speaker 2: great opportunity right now because the Democratic parties fraction. They're

1532
01:28:25,760 --> 01:28:29,719
Speaker 2: portraying themselves as wanting to be the party of working people,

1533
01:28:30,160 --> 01:28:33,919
Speaker 2: and the Democrats have to win the trust and support

1534
01:28:33,960 --> 01:28:39,519
Speaker 2: back of working people. And I'm leveraging both of those narratives. Hey,

1535
01:28:39,800 --> 01:28:41,800
Speaker 2: you said when you were running you want to you

1536
01:28:41,840 --> 01:28:43,920
Speaker 2: want to you want to be the party of working people. Well,

1537
01:28:43,920 --> 01:28:46,400
Speaker 2: why aren't you jumping on board support? And you know,

1538
01:28:46,479 --> 01:28:50,920
Speaker 2: the faster labor contracts act as Republicans because we've got

1539
01:28:51,000 --> 01:28:55,360
Speaker 2: bipartisans support and growing in that. That's an opportunity for

1540
01:28:55,360 --> 01:28:58,960
Speaker 2: Republicans to actually say well or to demonstrate, hey, we

1541
01:28:59,000 --> 01:29:02,800
Speaker 2: do support support working people. And also if they do that,

1542
01:29:03,280 --> 01:29:06,559
Speaker 2: are the Democrats going to come home and criticize that? No,

1543
01:29:06,600 --> 01:29:09,400
Speaker 2: they can't. But but if the Republicans say I'm not

1544
01:29:09,439 --> 01:29:12,120
Speaker 2: supporting it, or we don't get Republican support. They're just

1545
01:29:12,200 --> 01:29:15,639
Speaker 2: allowing the Democrats to weaponize that issue. And maybe that's

1546
01:29:15,680 --> 01:29:18,840
Speaker 2: the Maybe that's the strategy. I don't know.

1547
01:29:19,200 --> 01:29:20,880
Speaker 1: Let me get you out of here. In two things

1548
01:29:20,920 --> 01:29:26,080
Speaker 1: one twenty twenty six is is this a low I

1549
01:29:26,360 --> 01:29:31,040
Speaker 1: saw for instance in Michigan, various Teamsters you know, the

1550
01:29:31,479 --> 01:29:34,000
Speaker 1: state went one way, a couple of locals went another.

1551
01:29:34,680 --> 01:29:39,040
Speaker 1: Is that mostly how Teamsters endorsements work in a midterm year?

1552
01:29:39,680 --> 01:29:42,639
Speaker 1: Or will the national will your office sort of way

1553
01:29:42,680 --> 01:29:44,880
Speaker 1: in uncertain Senate races, certain House races.

1554
01:29:44,960 --> 01:29:46,360
Speaker 2: Yeah, we're going to We're going to weigh in on

1555
01:29:46,520 --> 01:29:50,479
Speaker 2: certain Senate race, especially the senators and House members that

1556
01:29:50,600 --> 01:29:52,759
Speaker 2: support us, whether you have a d n R or nine.

1557
01:29:53,080 --> 01:29:54,760
Speaker 2: You know, the beauty of the Teamsters union. We have

1558
01:29:54,800 --> 01:29:58,800
Speaker 2: three hundred and nineteen local unions in thirty I believe

1559
01:29:58,840 --> 01:30:02,840
Speaker 2: thirty something joint council regional consuls. Uh, you know everybody's

1560
01:30:03,720 --> 01:30:07,080
Speaker 2: they like their pride of autonomy and we give them that. However,

1561
01:30:07,200 --> 01:30:10,880
Speaker 2: if we are working on legislation like fastera Labor Contracts

1562
01:30:10,920 --> 01:30:15,120
Speaker 2: Act or warehouse protection, and we're getting support from from

1563
01:30:15,240 --> 01:30:16,960
Speaker 2: people that are currently in office that might have a

1564
01:30:17,040 --> 01:30:19,200
Speaker 2: dn R, we're gonna We're gonna weigh in and say, look,

1565
01:30:19,479 --> 01:30:23,120
Speaker 2: this is what these people have done for us. But

1566
01:30:23,320 --> 01:30:25,040
Speaker 2: at the end of the day, it's usually left up

1567
01:30:25,080 --> 01:30:28,800
Speaker 2: to the local unions and the joint consuls.

1568
01:30:30,040 --> 01:30:34,640
Speaker 1: I'm gonna paint a scenario for you. Uh, the athletes

1569
01:30:34,680 --> 01:30:38,360
Speaker 1: of the Big Ten decide they're gonna organize. I think

1570
01:30:38,400 --> 01:30:41,439
Speaker 1: it's coming. Frankly, collective bargaining in college sports. There's a

1571
01:30:41,439 --> 01:30:45,439
Speaker 1: lot of money at state. There's frankly no protections for

1572
01:30:45,520 --> 01:30:52,040
Speaker 1: these athletes right now in various ways. Is do you

1573
01:30:53,240 --> 01:30:58,599
Speaker 1: do the teamsters want? You know, would would athletes who

1574
01:30:59,439 --> 01:31:01,640
Speaker 1: got to collective, you know, we're able to sort of

1575
01:31:02,160 --> 01:31:06,600
Speaker 1: get a collective be recognized as a union? Would you

1576
01:31:06,640 --> 01:31:08,920
Speaker 1: want them as Teamsters members? Or is that too far?

1577
01:31:09,360 --> 01:31:12,760
Speaker 1: Is that too far? There's no there's no union out there.

1578
01:31:13,800 --> 01:31:17,960
Speaker 1: Say okay, well explain why explain teamsters, we'll be able

1579
01:31:18,000 --> 01:31:19,880
Speaker 1: to help the Big ten football players.

1580
01:31:19,960 --> 01:31:23,240
Speaker 2: I played college football one semester. Right, it's a full

1581
01:31:23,280 --> 01:31:28,360
Speaker 2: time job, a lot of demands, uh, and there's no guarantees. Right.

1582
01:31:28,720 --> 01:31:30,680
Speaker 2: Do you want to go put sports aside? Do you

1583
01:31:30,680 --> 01:31:33,640
Speaker 2: want to go work for an employer where there's a

1584
01:31:33,640 --> 01:31:37,519
Speaker 2: lot of demand and no return. No you don't so

1585
01:31:37,920 --> 01:31:40,759
Speaker 2: that that's right in our whalehouse. As far as repers,

1586
01:31:40,760 --> 01:31:42,680
Speaker 2: I will represent anybody you know we were accused of

1587
01:31:43,120 --> 01:31:45,840
Speaker 2: if a fire hydrant wanted to negotiate a contract the team,

1588
01:31:45,880 --> 01:31:48,840
Speaker 2: since would represent them, right, No, we would love to

1589
01:31:48,880 --> 01:31:51,320
Speaker 2: because you don't think about it. You are don't you

1590
01:31:51,320 --> 01:31:53,639
Speaker 2: believe that's coming? I think it's coming. Look, a good

1591
01:31:53,640 --> 01:31:55,400
Speaker 2: friend of mine, I know you're a you're a huge

1592
01:31:55,439 --> 01:31:59,040
Speaker 2: University of Miami. Gino Torretta is a very good friend

1593
01:31:59,040 --> 01:32:02,000
Speaker 2: of mine. Oh, let you know he and our Yeah,

1594
01:32:02,040 --> 01:32:03,800
Speaker 2: way back when, I mean he was saying, you know,

1595
01:32:03,880 --> 01:32:06,920
Speaker 2: this is a full time job, like it was forty

1596
01:32:06,920 --> 01:32:09,639
Speaker 2: plus hours per week, and the demands that are put

1597
01:32:09,680 --> 01:32:11,519
Speaker 2: on you, like you don't have you don't have the

1598
01:32:11,560 --> 01:32:14,519
Speaker 2: ability to say no to these college coaches or these

1599
01:32:14,920 --> 01:32:18,160
Speaker 2: even the administration. So it's like, you know, there's no

1600
01:32:18,320 --> 01:32:20,800
Speaker 2: rights of these call they own you, and no one

1601
01:32:20,800 --> 01:32:23,680
Speaker 2: should be owned. No one should be mandated what to

1602
01:32:23,720 --> 01:32:26,439
Speaker 2: say and what to do. And let's let's face it,

1603
01:32:26,520 --> 01:32:30,920
Speaker 2: I mean college sports, the NCAA, you know this nil money.

1604
01:32:31,280 --> 01:32:34,120
Speaker 2: I mean I think you're one hundred percent right, it's coming.

1605
01:32:34,240 --> 01:32:38,000
Speaker 1: And no, I mean yeah, you, yes, don't want to

1606
01:32:38,000 --> 01:32:39,400
Speaker 1: be the union that represents them.

1607
01:32:39,400 --> 01:32:42,960
Speaker 2: You know, my son plays college hockey, and you know,

1608
01:32:43,120 --> 01:32:45,800
Speaker 2: he's forty hours a week, you know, up in the

1609
01:32:45,800 --> 01:32:49,479
Speaker 2: morning training practice, and then classes are like you know,

1610
01:32:49,640 --> 01:32:52,559
Speaker 2: eight seven, eight o'clock a night. There's twelve thirteen hour days.

1611
01:32:52,640 --> 01:32:54,559
Speaker 2: But the majority of the time during the season is

1612
01:32:54,600 --> 01:32:56,040
Speaker 2: focused on the season.

1613
01:32:57,040 --> 01:32:59,000
Speaker 1: No, and with all this, I mean when you're talking

1614
01:32:59,160 --> 01:33:02,160
Speaker 1: multi billion dollars TV contracts now for these conferences. So

1615
01:33:02,640 --> 01:33:05,080
Speaker 1: I think the only way this works is if it's

1616
01:33:05,120 --> 01:33:10,479
Speaker 1: a players union by conference. But who knows, I mean yeah,

1617
01:33:10,680 --> 01:33:13,880
Speaker 1: or maybe it's by region or something like that. It'd

1618
01:33:13,880 --> 01:33:16,120
Speaker 1: be nice if our conferences were by region, but you know,

1619
01:33:16,360 --> 01:33:17,040
Speaker 1: wouldn't it.

1620
01:33:17,280 --> 01:33:21,920
Speaker 2: Yeah, we got that maybe BC would be a competitor.

1621
01:33:22,280 --> 01:33:23,880
Speaker 1: Were you a BC player, where'd you play?

1622
01:33:24,360 --> 01:33:28,680
Speaker 2: I went to the University of Mass Mass you Mass, Yeah.

1623
01:33:28,479 --> 01:33:31,479
Speaker 1: Yeah, trying hard to be an FBS I love, Oh.

1624
01:33:31,439 --> 01:33:34,400
Speaker 2: Yeah, yeah, so I went to the U Mass Boston campus.

1625
01:33:34,840 --> 01:33:36,720
Speaker 2: I went to University of New Haven first and then

1626
01:33:36,800 --> 01:33:38,560
Speaker 2: went to you Mass. No.

1627
01:33:39,520 --> 01:33:44,000
Speaker 1: Well, by the time this airs will know whether the

1628
01:33:44,040 --> 01:33:45,760
Speaker 1: Red Sox have beaten the Yankees or not.

1629
01:33:45,920 --> 01:33:47,040
Speaker 2: But it's gonna be a tough one.

1630
01:33:47,120 --> 01:33:50,439
Speaker 1: Huh, yeah, it's gonna be how great two of three

1631
01:33:51,120 --> 01:33:53,519
Speaker 1: between old rivals like this. I mean, no matter what.

1632
01:33:53,360 --> 01:33:56,040
Speaker 2: We hate to see someone losing that in that situation.

1633
01:33:56,160 --> 01:33:59,040
Speaker 1: You know, get out of here. I a Red Sox fan.

1634
01:33:59,200 --> 01:34:01,000
Speaker 1: What do you mean I hate to see someone losing?

1635
01:34:01,040 --> 01:34:04,280
Speaker 2: You do? Because I mean, look, they're playing that hot zone, right,

1636
01:34:04,760 --> 01:34:05,599
Speaker 2: they hate each other.

1637
01:34:06,320 --> 01:34:10,679
Speaker 1: Your your empathy, you're filled with Empathy's where's the Boston

1638
01:34:10,760 --> 01:34:11,360
Speaker 1: eight man?

1639
01:34:11,640 --> 01:34:15,840
Speaker 2: Listen, let's talk hockey. Let's talk football. There's no other

1640
01:34:15,840 --> 01:34:18,799
Speaker 2: team than Boston Bruins and the New England Patriots.

1641
01:34:18,800 --> 01:34:21,479
Speaker 1: You know, so that's where you that's that's where they

1642
01:34:21,479 --> 01:34:21,920
Speaker 1: come at.

1643
01:34:22,240 --> 01:34:26,040
Speaker 2: Yeah, Baseball's baseball, you know, baseball great American sport. We

1644
01:34:26,120 --> 01:34:27,559
Speaker 2: used to say in my name, but yeah, the kids

1645
01:34:27,600 --> 01:34:30,160
Speaker 2: that can't skate end up playing baseball.

1646
01:34:30,400 --> 01:34:34,439
Speaker 1: Oh wow, I know exactly where you grew up. Hey,

1647
01:34:34,680 --> 01:34:36,000
Speaker 1: shout Oubrien. This is great man.

1648
01:34:36,080 --> 01:34:38,280
Speaker 2: I appreciate you. I appreciate you and my friend. This

1649
01:34:38,400 --> 01:34:38,920
Speaker 2: is all right?

1650
01:34:49,000 --> 01:34:51,599
Speaker 1: What did I tell you joined the Sean O'Brien interview.

1651
01:34:51,760 --> 01:34:53,920
Speaker 1: This is the type of space that I'm going to

1652
01:34:54,000 --> 01:34:56,519
Speaker 1: continue to You know, these folks, you know, these are

1653
01:34:56,640 --> 01:34:59,160
Speaker 1: entities that are sort of truly are living in the

1654
01:34:59,360 --> 01:35:02,840
Speaker 1: in this large center of American politics, and I think

1655
01:35:02,880 --> 01:35:05,600
Speaker 1: the Teamsters, in its own way is living in the

1656
01:35:05,680 --> 01:35:08,759
Speaker 1: large center. I do think the conversation we were having

1657
01:35:08,800 --> 01:35:14,280
Speaker 1: about human labor versus robots and all this stuff, I look,

1658
01:35:14,400 --> 01:35:16,519
Speaker 1: I think this is going to be a much bigger

1659
01:35:18,680 --> 01:35:21,639
Speaker 1: issue in twenty twenty eight than we all. The fear

1660
01:35:22,240 --> 01:35:28,600
Speaker 1: of AI job displacement, whether it's automated drivers, whether it's paralegals,

1661
01:35:29,120 --> 01:35:32,120
Speaker 1: whether it's lawyers themselves, right, fewer and few of them

1662
01:35:32,160 --> 01:35:35,200
Speaker 1: that are going to be needed. The fear of AI

1663
01:35:36,000 --> 01:35:39,479
Speaker 1: job displacement, I think is going to be a bigger

1664
01:35:39,720 --> 01:35:44,800
Speaker 1: and bigger issue of concern, especially if this economy and

1665
01:35:45,680 --> 01:35:48,719
Speaker 1: continues to tighten and we continue to have a shrinking labor,

1666
01:35:49,800 --> 01:35:52,240
Speaker 1: shrinking job opportunities as we've been seeing. So it's a

1667
01:35:53,600 --> 01:35:56,640
Speaker 1: I do think there's a lot there to digest in

1668
01:35:56,760 --> 01:36:01,280
Speaker 1: that conversation with Sean O'Brien. Let's do a few questions.

1669
01:36:01,520 --> 01:36:09,080
Speaker 1: Ask Chuck, this has come from rich from Lenox, Massachusetts.

1670
01:36:09,360 --> 01:36:12,439
Speaker 1: Put some parentheses independent to say, check one factor in

1671
01:36:12,439 --> 01:36:15,160
Speaker 1: the twenty twenty four election that is under discussed. Trump

1672
01:36:15,160 --> 01:36:17,320
Speaker 1: began his re election campaign literally the day after the

1673
01:36:17,320 --> 01:36:19,920
Speaker 1: twenty twenty election and operated his campaign in overdrive for

1674
01:36:19,920 --> 01:36:23,040
Speaker 1: four years, with continuous travel and rallies. Has anyone ever

1675
01:36:23,080 --> 01:36:25,720
Speaker 1: done that before? Maybe that high energy commitment was a

1676
01:36:25,760 --> 01:36:29,680
Speaker 1: significant factor in growing his base. In light of that,

1677
01:36:29,800 --> 01:36:31,680
Speaker 1: Kamala's argument that she only had one hundred and seven

1678
01:36:31,720 --> 01:36:34,080
Speaker 1: days might be very valid and shouldn't someone on the

1679
01:36:34,120 --> 01:36:35,960
Speaker 1: left be on the trail full time? Now for the

1680
01:36:36,000 --> 01:36:40,120
Speaker 1: twenty twenty eight contests. Rich Leierman from Lenox, mass Independent, Well,

1681
01:36:40,160 --> 01:36:44,280
Speaker 1: you're not wrong. There's actually a lot of you know,

1682
01:36:44,320 --> 01:36:47,639
Speaker 1: I can give you two great examples of being the

1683
01:36:47,640 --> 01:36:52,040
Speaker 1: first one out of the gate, essentially at least getting

1684
01:36:52,120 --> 01:36:55,280
Speaker 1: you into the finals of your nominating process. In nineteen

1685
01:36:55,360 --> 01:36:58,880
Speaker 1: ninety two, there was a former one term senator from

1686
01:36:59,320 --> 01:37:04,000
Speaker 1: Massachusetts by the name of Paul Tsongas. I say to

1687
01:37:04,120 --> 01:37:06,439
Speaker 1: Songas because the first time we're like, who's this guy?

1688
01:37:06,680 --> 01:37:10,360
Speaker 1: Ts How do you say his name? And he was

1689
01:37:10,479 --> 01:37:11,639
Speaker 1: kind of quirky, and.

1690
01:37:11,600 --> 01:37:14,640
Speaker 2: You're like, I used to do with Paul Songus impersonation

1691
01:37:15,080 --> 01:37:18,880
Speaker 2: kind of you Kurmit the Frog meets Paul Songus.

1692
01:37:20,040 --> 01:37:23,439
Speaker 1: For the two of listeners out there, Steve Bilifer, Uh,

1693
01:37:23,560 --> 01:37:31,439
Speaker 1: you'll appreciate that attempt there, but look, he was running,

1694
01:37:31,520 --> 01:37:33,880
Speaker 1: like in nineteen ninety no one else was out there running.

1695
01:37:33,920 --> 01:37:36,160
Speaker 1: He was running. And then lo and behold, he eventually

1696
01:37:36,160 --> 01:37:40,440
Speaker 1: became essentially one of the final one of the finalists,

1697
01:37:40,479 --> 01:37:42,880
Speaker 1: and he was sort of the the truly out of

1698
01:37:42,960 --> 01:37:45,240
Speaker 1: nowhere candidate in ninety two that caught, that caught just

1699
01:37:45,360 --> 01:37:48,439
Speaker 1: enough fire to to become a problem for Bill Clinton

1700
01:37:49,640 --> 01:37:52,120
Speaker 1: on that front. And then Howard Dean. Howard Dean sort

1701
01:37:52,120 --> 01:37:53,880
Speaker 1: of got in the race a lot earlier than anybody

1702
01:37:53,880 --> 01:37:56,160
Speaker 1: else did back in two thousand and I think he announced,

1703
01:37:56,200 --> 01:37:59,519
Speaker 1: like if I remember in two thousand and two, and

1704
01:37:59,560 --> 01:38:03,280
Speaker 1: he said, was running much earlier than everybody else in

1705
01:38:03,320 --> 01:38:06,200
Speaker 1: the four race. And it and it certainly got him

1706
01:38:06,520 --> 01:38:08,280
Speaker 1: a head start, and you know, he was the front

1707
01:38:08,320 --> 01:38:12,640
Speaker 1: runner until he wasn't right. You know, they made a

1708
01:38:12,640 --> 01:38:15,959
Speaker 1: few miscalculations there and I went it all sort of collapsed,

1709
01:38:16,000 --> 01:38:19,840
Speaker 1: but it sort of does I I sort of, look,

1710
01:38:20,040 --> 01:38:21,960
Speaker 1: I'm not going to sit here and concede that Trump

1711
01:38:23,200 --> 01:38:28,320
Speaker 1: ran off four years. What I do think what the

1712
01:38:28,360 --> 01:38:32,879
Speaker 1: brilliant tactic that Trump did that that sort of totally

1713
01:38:33,720 --> 01:38:41,280
Speaker 1: I think totally screwed up any any hope that frankly,

1714
01:38:41,320 --> 01:38:43,880
Speaker 1: a lot of us had that Republicans would find a

1715
01:38:43,880 --> 01:38:47,040
Speaker 1: different candidate other than him. Is he chose to announce

1716
01:38:47,160 --> 01:38:49,920
Speaker 1: If you remember, he announced right after the twenty twenty

1717
01:38:49,920 --> 01:38:52,519
Speaker 1: two midterms, He did the hes, so he was the

1718
01:38:52,560 --> 01:38:55,559
Speaker 1: first one in the race officially in the race. I hear.

1719
01:38:55,680 --> 01:38:57,360
Speaker 1: I take your point that he was saying he certainly

1720
01:38:57,400 --> 01:38:59,720
Speaker 1: was running, but you know that's not new to sort of,

1721
01:39:00,400 --> 01:39:02,519
Speaker 1: you know, to sort of spend the first two years

1722
01:39:03,000 --> 01:39:04,880
Speaker 1: kind of acting like a candidate, and he was sort

1723
01:39:04,920 --> 01:39:09,120
Speaker 1: of more more outsized than most. But remember he announced

1724
01:39:09,160 --> 01:39:12,040
Speaker 1: sort of within almost like a he knew he was

1725
01:39:12,080 --> 01:39:16,520
Speaker 1: about to get indicted for the particularly for the classified

1726
01:39:17,439 --> 01:39:19,639
Speaker 1: I think it was for the classified documents and Jack,

1727
01:39:19,720 --> 01:39:24,120
Speaker 1: you know, this is pre Jack Smith. And what happened

1728
01:39:24,160 --> 01:39:27,080
Speaker 1: was he was under investigation by the Justice Department already.

1729
01:39:27,600 --> 01:39:30,760
Speaker 1: By announcing, it forced Merrick Garland to have to name

1730
01:39:30,800 --> 01:39:35,360
Speaker 1: a special council. And what happened then is that the

1731
01:39:35,439 --> 01:39:38,360
Speaker 1: minute he named a special counsel for Trump, he had

1732
01:39:38,360 --> 01:39:40,200
Speaker 1: no choice but to name a special council for all

1733
01:39:40,240 --> 01:39:42,759
Speaker 1: things Biden. In that case, it was the Hunter Biden situation.

1734
01:39:43,560 --> 01:39:47,160
Speaker 1: And I do believe that was the moment Trump won

1735
01:39:47,200 --> 01:39:48,960
Speaker 1: the race. Now when you when you look back, and

1736
01:39:49,000 --> 01:39:51,360
Speaker 1: that's when the Democrats lost it because it sort of

1737
01:39:51,840 --> 01:39:55,479
Speaker 1: it for you know, Garland, you know, slow walk those

1738
01:39:55,520 --> 01:39:58,120
Speaker 1: investigations into Trump and we can have a debate. I

1739
01:39:58,120 --> 01:40:01,000
Speaker 1: saw Mett Romney came out again the other day and

1740
01:40:01,200 --> 01:40:05,240
Speaker 1: said that he had suggested to Biden that, you know,

1741
01:40:05,320 --> 01:40:07,679
Speaker 1: why does any why didn't he pardoned Trump? I always

1742
01:40:07,720 --> 01:40:09,760
Speaker 1: thought of Biden had won reelection, that Biden would have

1743
01:40:09,800 --> 01:40:12,479
Speaker 1: pardoned Trump, but he was wasn't going to do it

1744
01:40:12,560 --> 01:40:17,639
Speaker 1: until until after he won re election. I I, uh,

1745
01:40:17,880 --> 01:40:20,040
Speaker 1: that is one of those It's not a what if

1746
01:40:20,080 --> 01:40:22,920
Speaker 1: I'm going to do for this year, but it's one

1747
01:40:22,960 --> 01:40:24,720
Speaker 1: of my what ifs that I've wondered. If what if

1748
01:40:24,760 --> 01:40:31,080
Speaker 1: Biden had simply pardoned Trump and there was no federal investigations?

1749
01:40:31,520 --> 01:40:36,240
Speaker 1: You know, how does that change things with the general public?

1750
01:40:36,280 --> 01:40:39,639
Speaker 1: Not necessarily? Does that does that you know? Uh, does

1751
01:40:39,640 --> 01:40:41,519
Speaker 1: that take a little bit of the edge off of

1752
01:40:41,560 --> 01:40:45,479
Speaker 1: his martyrdom which I think he successfully and I think

1753
01:40:45,520 --> 01:40:48,439
Speaker 1: by by forcing the Justice Department's hands to go with

1754
01:40:48,520 --> 01:40:53,160
Speaker 1: special prosecutor having to sort of you know, not look

1755
01:40:53,439 --> 01:40:56,880
Speaker 1: like they were politically involved, which seems laughable considering what

1756
01:40:56,920 --> 01:40:59,320
Speaker 1: Trump has done to the Justice Department just in in

1757
01:40:59,840 --> 01:41:03,080
Speaker 1: h short months, I mean, completely eviscerating any credibility that

1758
01:41:03,080 --> 01:41:06,920
Speaker 1: the Justice Department once had in this space. It looks

1759
01:41:07,080 --> 01:41:11,840
Speaker 1: really dumb in hindsight, but that moment, right, it's the

1760
01:41:11,880 --> 01:41:14,599
Speaker 1: most clever thing Trump did was forcing the hand knowing

1761
01:41:14,600 --> 01:41:17,360
Speaker 1: that Garland was a sort of a boy scout on

1762
01:41:17,360 --> 01:41:19,240
Speaker 1: this stuff and was going to be like, we got

1763
01:41:19,240 --> 01:41:21,200
Speaker 1: to name a special counsel, which means got to do this.

1764
01:41:21,240 --> 01:41:23,200
Speaker 1: We got to steers far away from this as we

1765
01:41:23,280 --> 01:41:25,880
Speaker 1: possibly can, which was the right thing to do, the

1766
01:41:26,160 --> 01:41:30,960
Speaker 1: adult in the room type of decision. But I think

1767
01:41:31,080 --> 01:41:34,800
Speaker 1: that's was the exploitive point there. Now, to go to

1768
01:41:34,840 --> 01:41:39,040
Speaker 1: your other point, I if I were, it depends who

1769
01:41:39,080 --> 01:41:41,519
Speaker 1: you are whether it's good to run early if you're

1770
01:41:41,800 --> 01:41:44,120
Speaker 1: less known, right, if you were, if you're a Pete Bootage,

1771
01:41:44,200 --> 01:41:46,240
Speaker 1: you've got to almost be running three years early, right,

1772
01:41:46,479 --> 01:41:49,000
Speaker 1: And he kind of did in twenty seventeen, twenty eighteen,

1773
01:41:49,400 --> 01:41:53,160
Speaker 1: and by the time the campaign itself started, he was

1774
01:41:53,360 --> 01:41:57,479
Speaker 1: he was, he was in. He was in playoff shape,

1775
01:41:57,840 --> 01:42:00,920
Speaker 1: while the other candidates who got in later, like Kamala

1776
01:42:01,000 --> 01:42:04,200
Speaker 1: Harris and Elizabeth Warren and even Joe Biden. They were

1777
01:42:04,200 --> 01:42:06,880
Speaker 1: still trying to get into game shape right during the campaign.

1778
01:42:09,680 --> 01:42:13,760
Speaker 1: You know, let me let's say at James Tollerico was

1779
01:42:13,760 --> 01:42:15,680
Speaker 1: interested in running for president. He's decided he's going to

1780
01:42:15,760 --> 01:42:18,320
Speaker 1: run for Senate, and you know, I think he's going

1781
01:42:18,360 --> 01:42:20,280
Speaker 1: to be one of the sort of what Beto O'Rourke

1782
01:42:20,400 --> 01:42:23,479
Speaker 1: was in eighteen is what Tolerico will be nationally to

1783
01:42:23,600 --> 01:42:28,639
Speaker 1: fund to many national Democrats in twenty twenty six, let's

1784
01:42:28,640 --> 01:42:30,720
Speaker 1: say he was going to run for president, Well, he

1785
01:42:30,760 --> 01:42:32,160
Speaker 1: would be one that you would say you'd want to

1786
01:42:32,200 --> 01:42:36,639
Speaker 1: start early, right. Jimmy Carter started in seventy three, started

1787
01:42:36,680 --> 01:42:40,240
Speaker 1: running for president in seventy six. So the more of

1788
01:42:40,280 --> 01:42:43,920
Speaker 1: an unknown quantity you are, the more it behooves you

1789
01:42:43,960 --> 01:42:46,919
Speaker 1: to start earlier. Right that right, the governor of Vermont,

1790
01:42:47,160 --> 01:42:51,240
Speaker 1: and Howard Dean, the former Senator of Massachusetts, and pauls Angus,

1791
01:42:52,080 --> 01:42:54,640
Speaker 1: the former governor of Georgia, and Jimmy Carter, Right, we

1792
01:42:55,280 --> 01:42:58,920
Speaker 1: certainly have seen that that's the case on that front.

1793
01:42:58,960 --> 01:43:01,200
Speaker 1: So let you know, I saw that the governor of

1794
01:43:01,240 --> 01:43:04,160
Speaker 1: Hawaii had thrown his name in the presidential ring, Josh Green.

1795
01:43:05,520 --> 01:43:07,160
Speaker 1: He'd be the type. Now, I don't know how you

1796
01:43:07,240 --> 01:43:09,760
Speaker 1: run for president as a sitting governor from Ohio and

1797
01:43:09,800 --> 01:43:11,519
Speaker 1: it takes you five hours to get to the mainland.

1798
01:43:11,520 --> 01:43:14,120
Speaker 1: I just think logistically it's a huge problem. You kind

1799
01:43:14,120 --> 01:43:16,000
Speaker 1: of probably have to be a former governor of Hawaii

1800
01:43:16,120 --> 01:43:20,519
Speaker 1: of Hawaii to do that. But it would be a

1801
01:43:20,560 --> 01:43:23,920
Speaker 1: candidate like that who isn't yet even that well known

1802
01:43:23,960 --> 01:43:28,800
Speaker 1: to donors that I think they would benefit the most

1803
01:43:28,840 --> 01:43:31,719
Speaker 1: with going super early. But I certainly think that there's

1804
01:43:31,760 --> 01:43:35,160
Speaker 1: no there's only upside to doing this. There's a million

1805
01:43:35,240 --> 01:43:38,559
Speaker 1: podcasters out there ready to ready to interview these folks

1806
01:43:38,600 --> 01:43:41,439
Speaker 1: and all this. So I think I think it's never

1807
01:43:41,520 --> 01:43:50,760
Speaker 1: been easier to run for president early because there's interviews

1808
01:43:50,800 --> 01:43:53,200
Speaker 1: that you can have happened. There's a lot of batting

1809
01:43:53,240 --> 01:43:57,280
Speaker 1: practice you can take to get yourself prepared. All right.

1810
01:43:57,960 --> 01:44:00,200
Speaker 1: Next question comes from Chris k says, Hey, Chuck love

1811
01:44:00,240 --> 01:44:03,000
Speaker 1: the football segments. Thanks, Iowa snagged a shout out. Hopefully

1812
01:44:03,160 --> 01:44:05,120
Speaker 1: we played spoiler to my question, what is your take

1813
01:44:05,120 --> 01:44:07,920
Speaker 1: on the current state of centralized databases to update our

1814
01:44:08,000 --> 01:44:10,519
Speaker 1: voter roles? And I think I know where you're going here.

1815
01:44:10,680 --> 01:44:12,559
Speaker 1: I listened to a podcast not too long ago about

1816
01:44:12,560 --> 01:44:15,000
Speaker 1: some states opting out of the use of ERIC for

1817
01:44:15,080 --> 01:44:18,160
Speaker 1: privacy concerns. Maybe that is a fair argument. However, those

1818
01:44:18,160 --> 01:44:20,800
Speaker 1: states have opted to use a database developed by Doge.

1819
01:44:21,320 --> 01:44:25,040
Speaker 1: Jumping to today, meaning last Friday, the DJ issuing some

1820
01:44:25,120 --> 01:44:27,760
Speaker 1: states for incomplete voter roles. It all sounds like ingredients

1821
01:44:28,080 --> 01:44:30,320
Speaker 1: to build the perception of voter fraud and cast down

1822
01:44:30,320 --> 01:44:33,479
Speaker 1: on the results. Chris k South Carolina. I saw those

1823
01:44:33,479 --> 01:44:38,120
Speaker 1: two and there's definitely feels like a political filter on

1824
01:44:38,160 --> 01:44:42,000
Speaker 1: what the Justice Department doing. Right. They're specifically targeting democratic

1825
01:44:42,040 --> 01:44:47,479
Speaker 1: states on this stuff, particularly the Democratic controlled swing states.

1826
01:44:49,960 --> 01:44:54,840
Speaker 1: You know, the reason why so many of us are

1827
01:44:54,880 --> 01:44:57,960
Speaker 1: so confident that it is hard to essentially steal an

1828
01:44:57,960 --> 01:45:04,160
Speaker 1: election in American politics is how decentralized our voting system is, right,

1829
01:45:06,160 --> 01:45:09,479
Speaker 1: And the more centralized we do everything, the more we

1830
01:45:09,520 --> 01:45:14,479
Speaker 1: put ourselves at risk to fraud and manipulation. Right, And

1831
01:45:14,520 --> 01:45:17,519
Speaker 1: it's little things whether we physically bring ballots to a

1832
01:45:17,600 --> 01:45:23,040
Speaker 1: central counting location like is done in Milwaukee, Atlanta, Detroit,

1833
01:45:23,280 --> 01:45:26,000
Speaker 1: I think Philadelphia, I think that's a bad idea, right,

1834
01:45:26,120 --> 01:45:28,559
Speaker 1: you put all those ballots in one place, and like

1835
01:45:28,920 --> 01:45:31,360
Speaker 1: in the TV shows Succession, what if somebody decides to

1836
01:45:31,360 --> 01:45:34,320
Speaker 1: start a fire and the ballots are just missing and

1837
01:45:34,400 --> 01:45:37,840
Speaker 1: you don't know what to do. So the point is,

1838
01:45:37,880 --> 01:45:40,760
Speaker 1: anytime you centralize any of this stuff, you put it

1839
01:45:40,840 --> 01:45:44,160
Speaker 1: more at risk for manipulation, for fraud, or even for

1840
01:45:44,280 --> 01:45:48,640
Speaker 1: accidental for an accident like or not an accident like

1841
01:45:49,479 --> 01:45:55,320
Speaker 1: what was done in succession there certainly seems to be

1842
01:45:56,840 --> 01:46:04,519
Speaker 1: it is a it. What they're doing at the Justice

1843
01:46:04,520 --> 01:46:09,800
Speaker 1: Department feels it feels a little suspicious, and so I

1844
01:46:09,880 --> 01:46:12,719
Speaker 1: understand the distrust that's out there between the Blue states.

1845
01:46:13,320 --> 01:46:18,200
Speaker 1: So I look, I think I think the argument should

1846
01:46:18,200 --> 01:46:23,200
Speaker 1: be be careful of centralizing any of this. This allows

1847
01:46:23,400 --> 01:46:26,760
Speaker 1: for a target from whether it's the Chinese, the Russians,

1848
01:46:27,479 --> 01:46:34,880
Speaker 1: or someone domestically nefarious, to potentially manipulate, duplicate, manipulate, or

1849
01:46:34,960 --> 01:46:40,480
Speaker 1: duplicate our voter roles in ways they could you know, imagine,

1850
01:46:40,560 --> 01:46:43,439
Speaker 1: you could imagine how a voter, you know, how you

1851
01:46:43,479 --> 01:46:48,520
Speaker 1: could depress turnout right by disqualifying voters because maybe you

1852
01:46:48,560 --> 01:46:53,280
Speaker 1: maybe somebody requests an absentee ballot in my name. I

1853
01:46:53,320 --> 01:46:55,760
Speaker 1: didn't know I had an absentee ballot. Request. I go

1854
01:46:55,880 --> 01:46:57,680
Speaker 1: to vote and they tell me no, you request an

1855
01:46:57,680 --> 01:47:00,719
Speaker 1: absentee ballot. We have it right here, so you can't

1856
01:47:00,800 --> 01:47:03,280
Speaker 1: you know, we've in fact, you've already voted. What do

1857
01:47:03,320 --> 01:47:05,519
Speaker 1: you mean I didn't vote, Well, yes, she did, it

1858
01:47:05,520 --> 01:47:10,919
Speaker 1: says so here right. That would be something that would,

1859
01:47:11,280 --> 01:47:14,040
Speaker 1: you know, the type of issue that I think we

1860
01:47:14,439 --> 01:47:18,400
Speaker 1: would need to be concerned about. So it's this centralization

1861
01:47:18,600 --> 01:47:22,639
Speaker 1: that I think is what creates the vulnerability here and

1862
01:47:23,200 --> 01:47:25,960
Speaker 1: the reason why it is so hard to manip to

1863
01:47:26,040 --> 01:47:29,000
Speaker 1: do what Trump claimed happened in twenty twenty is because

1864
01:47:29,000 --> 01:47:33,760
Speaker 1: our system is so not just state based. In many states,

1865
01:47:33,560 --> 01:47:37,679
Speaker 1: it's different by counting in how voter roles are treated

1866
01:47:37,720 --> 01:47:41,120
Speaker 1: and stuff, and that is again it creates some inefficiencies

1867
01:47:41,120 --> 01:47:45,120
Speaker 1: on election night with counting, but that is actually what

1868
01:47:45,200 --> 01:47:50,839
Speaker 1: gives us, gives us more security and makes it harder

1869
01:47:50,880 --> 01:47:53,800
Speaker 1: to actually manipulate our election. You might be able to

1870
01:47:53,800 --> 01:47:58,480
Speaker 1: successfully ballot stuff in a congressional district in North Carolina

1871
01:47:58,760 --> 01:48:02,360
Speaker 1: like has happened, or a mayor's race in Miami which

1872
01:48:02,360 --> 01:48:05,800
Speaker 1: has happened, but it's much harder to do systematically because

1873
01:48:05,800 --> 01:48:09,519
Speaker 1: of our decentralized system. So anytime we're centralizing things more,

1874
01:48:09,800 --> 01:48:16,639
Speaker 1: it actually makes the possibility of manipulation easier and greater.

1875
01:48:17,479 --> 01:48:19,679
Speaker 1: So appreciate the question, because now you got me a

1876
01:48:19,800 --> 01:48:22,519
Speaker 1: much more worried about this than I had been. So thanks, Chris,

1877
01:48:22,560 --> 01:48:31,040
Speaker 1: appreciate that. All right, I'll do one more question, actually

1878
01:48:31,040 --> 01:48:34,400
Speaker 1: two more questions here. I love the podcast. I stopped

1879
01:48:34,400 --> 01:48:36,400
Speaker 1: listening to anything political after the election. I refused to

1880
01:48:36,400 --> 01:48:38,280
Speaker 1: even watch the news. Slowly I re engage found your

1881
01:48:38,320 --> 01:48:40,360
Speaker 1: podcasts and how you are able to explain both sides

1882
01:48:40,479 --> 01:48:43,360
Speaker 1: us both sides to us is refreshing. My question is

1883
01:48:43,360 --> 01:48:45,439
Speaker 1: why do government workers get back pay after shutdowns? If

1884
01:48:45,439 --> 01:48:47,559
Speaker 1: they are not working, they are not producing. In my opinion,

1885
01:48:47,760 --> 01:48:50,000
Speaker 1: they should not get paid. In a normal business, perhaps

1886
01:48:50,120 --> 01:48:52,800
Speaker 1: the loss productivity could be made up with overtime, but

1887
01:48:52,880 --> 01:48:55,360
Speaker 1: in government, I doubt the loss production is ever made up.

1888
01:48:55,600 --> 01:48:57,559
Speaker 1: I don't want anyone going without pay, but maybe the

1889
01:48:57,560 --> 01:48:59,479
Speaker 1: fear of government workers not getting paid should be a

1890
01:48:59,520 --> 01:49:02,439
Speaker 1: consideration and whether or not to shut down. I love

1891
01:49:02,479 --> 01:49:05,360
Speaker 1: the show Ryan well as I was, so now that

1892
01:49:05,400 --> 01:49:07,960
Speaker 1: I'm getting to your question, you'll have heard me talk

1893
01:49:08,000 --> 01:49:13,760
Speaker 1: about how actually the in some ways the promise of

1894
01:49:13,880 --> 01:49:17,160
Speaker 1: pay is to encourage some workers to go ahead and

1895
01:49:17,240 --> 01:49:20,240
Speaker 1: work because you're going to get paid right, that's how

1896
01:49:20,240 --> 01:49:24,960
Speaker 1: they get TSA. We get some I think it's anywhere

1897
01:49:24,960 --> 01:49:28,040
Speaker 1: from sixty to seventy percent of the government is functioning

1898
01:49:28,120 --> 01:49:31,680
Speaker 1: right now because you have workers who are told that they, hey,

1899
01:49:31,720 --> 01:49:33,920
Speaker 1: you have to work. You know you're going to get

1900
01:49:33,920 --> 01:49:38,559
Speaker 1: paid and the back pay is coming. So that's why

1901
01:49:38,640 --> 01:49:41,599
Speaker 1: guaranteeing the back pay was put in. It's essentially just so,

1902
01:49:43,000 --> 01:49:44,800
Speaker 1: this is why we've got to just get rid of

1903
01:49:44,840 --> 01:49:47,080
Speaker 1: the whole The whole shutdown thing is absurd, right and

1904
01:49:47,160 --> 01:49:51,040
Speaker 1: ridiculous because we know, you know, if we actually followed

1905
01:49:51,040 --> 01:49:52,720
Speaker 1: the letter of the law, then then nobody would be

1906
01:49:52,720 --> 01:49:55,800
Speaker 1: flying today, right. There'd be no air traffic controllers and

1907
01:49:56,400 --> 01:49:59,479
Speaker 1: no TSA agents showing up to work because they don't

1908
01:49:59,520 --> 01:50:02,200
Speaker 1: get paid right now. They're going to get back pay.

1909
01:50:02,280 --> 01:50:07,200
Speaker 1: They've been guaranteed the back pay. They've been convinced to

1910
01:50:07,200 --> 01:50:09,680
Speaker 1: come into work, and they've been told they have to

1911
01:50:09,720 --> 01:50:12,200
Speaker 1: work because they're going to get paid and they don't

1912
01:50:12,200 --> 01:50:14,120
Speaker 1: want to risk losing their job. But they're not going

1913
01:50:14,200 --> 01:50:16,160
Speaker 1: to get paid until the government but they won't actually

1914
01:50:16,200 --> 01:50:20,920
Speaker 1: get the money until the government is open. So this

1915
01:50:20,960 --> 01:50:23,760
Speaker 1: is why it's not fully clean. I totally understand where

1916
01:50:23,800 --> 01:50:25,880
Speaker 1: you're going, which is, if you don't do the work,

1917
01:50:25,920 --> 01:50:28,880
Speaker 1: you shouldn't get paid. At the same time, it's not

1918
01:50:29,040 --> 01:50:33,000
Speaker 1: their fault that they didn't shut the government down. It's

1919
01:50:33,040 --> 01:50:37,320
Speaker 1: the idiot politicians that have allowed this to happen. And

1920
01:50:37,360 --> 01:50:40,200
Speaker 1: I say allow this to happen again. There is no

1921
01:50:40,439 --> 01:50:43,000
Speaker 1: law that says you're the government is not allowed to

1922
01:50:43,080 --> 01:50:47,599
Speaker 1: operate without uh, you know, without without a budget. Here,

1923
01:50:47,960 --> 01:50:50,640
Speaker 1: they've just decided that this is the way it's going

1924
01:50:50,720 --> 01:50:53,799
Speaker 1: to work on an annual basis. They also arbitrarily decided,

1925
01:50:53,840 --> 01:50:56,040
Speaker 1: since it's a trust fund, that Social Security doesn't have

1926
01:50:56,120 --> 01:51:01,679
Speaker 1: to operate under a similar way. So it's the back

1927
01:51:01,720 --> 01:51:07,320
Speaker 1: pay was a way to essentially make it easier to

1928
01:51:07,479 --> 01:51:10,640
Speaker 1: force government workers to work when they weren't going to

1929
01:51:10,640 --> 01:51:13,960
Speaker 1: get a paycheck on a timely basis. So that's why

1930
01:51:13,960 --> 01:51:16,960
Speaker 1: they get the guaranteed back pay. Yes, there are some

1931
01:51:17,000 --> 01:51:19,240
Speaker 1: people where the productivity is never made up, but then

1932
01:51:19,240 --> 01:51:23,320
Speaker 1: there are other people like TSA agents. There's certain food

1933
01:51:23,360 --> 01:51:27,000
Speaker 1: inspectors where they're still going to do the job because

1934
01:51:27,320 --> 01:51:29,439
Speaker 1: they've accepted the premise that they will get paid and

1935
01:51:29,439 --> 01:51:32,080
Speaker 1: they kind of have to. If they don't, they risk

1936
01:51:32,120 --> 01:51:36,920
Speaker 1: getting fired for not doing their job. So that's why

1937
01:51:37,040 --> 01:51:43,160
Speaker 1: the back pay is there. But all of this is inefficient, right,

1938
01:51:43,640 --> 01:51:48,840
Speaker 1: It's it's ridiculous, it's inefficient, and it just shouldn't. You know.

1939
01:51:49,840 --> 01:51:54,120
Speaker 1: The functional and pragmatic way to do this is with

1940
01:51:54,200 --> 01:51:56,080
Speaker 1: the various proposals that are out there of the No

1941
01:51:56,200 --> 01:51:59,519
Speaker 1: Shutdowns Act, And I think the best one is automatic

1942
01:51:59,600 --> 01:52:03,240
Speaker 1: one percent cutting, you know, cutting the budget for every

1943
01:52:03,280 --> 01:52:06,479
Speaker 1: ten days that they don't meet the deadline for their appropriations. Right.

1944
01:52:07,120 --> 01:52:12,840
Speaker 1: That seems like a win win for everybody potentially, and

1945
01:52:12,840 --> 01:52:16,559
Speaker 1: and it puts it, you know, in theory. Right, Democrats

1946
01:52:16,600 --> 01:52:17,960
Speaker 1: don't want to agree to that because they think there

1947
01:52:17,960 --> 01:52:20,360
Speaker 1: will be too many Republicans that will be okay with that.

1948
01:52:20,400 --> 01:52:23,720
Speaker 1: But if it's across the board, right, there'll be Republicans.

1949
01:52:23,720 --> 01:52:26,559
Speaker 1: I won't like defense cuts happening that way, right, these

1950
01:52:27,000 --> 01:52:29,920
Speaker 1: you know, you've got to sort of create an incentive

1951
01:52:30,000 --> 01:52:35,000
Speaker 1: to get these bills passed. But but sort of disrupting

1952
01:52:35,040 --> 01:52:39,040
Speaker 1: the American taxpayers' lives seems like the dumbest version of

1953
01:52:39,160 --> 01:52:44,759
Speaker 1: creating the urgency to force UH to force these guys

1954
01:52:44,760 --> 01:52:49,320
Speaker 1: to do their job. But appreciate the comments, and and

1955
01:52:49,600 --> 01:52:52,880
Speaker 1: I get I get the premise, but again it goes

1956
01:52:52,920 --> 01:52:55,280
Speaker 1: back to and in many cases, maybe if all these

1957
01:52:55,400 --> 01:52:58,439
Speaker 1: TSA agents and and and air traffic controllers decide to

1958
01:52:58,439 --> 01:53:01,000
Speaker 1: call in sick, take some sick days, which they are

1959
01:53:01,479 --> 01:53:05,679
Speaker 1: you know, permitted to do, maybe that forces everybody realized,

1960
01:53:05,680 --> 01:53:08,600
Speaker 1: oh wait a minute, we can't have the If the

1961
01:53:08,640 --> 01:53:11,840
Speaker 1: airports stop working, then the public will pay attempt, you know,

1962
01:53:11,880 --> 01:53:14,320
Speaker 1: then the public will be mad at everybody, right, and

1963
01:53:14,400 --> 01:53:17,479
Speaker 1: everybody will pay a political price. I'm going to take

1964
01:53:17,479 --> 01:53:19,840
Speaker 1: this one last question here because it's a shorty. It's

1965
01:53:19,840 --> 01:53:22,719
Speaker 1: a quickie, and it goes like this. If Josh Biau

1966
01:53:22,760 --> 01:53:26,280
Speaker 1: dominates his twenty six reelection, could he eclipse Gavin Moore

1967
01:53:26,360 --> 01:53:29,280
Speaker 1: and Kamala in the twenty eight DEM primary because of electability?

1968
01:53:31,520 --> 01:53:34,680
Speaker 1: Maybe right Ron de Santis dominated though in Florida, and

1969
01:53:34,720 --> 01:53:38,679
Speaker 1: it didn't it got them, you know, he it got

1970
01:53:38,720 --> 01:53:41,960
Speaker 1: him close to being a front runner for a day,

1971
01:53:42,400 --> 01:53:44,439
Speaker 1: right he was. There was sort of a three month

1972
01:53:44,479 --> 01:53:47,320
Speaker 1: period there at the start of twenty twenty twenty three

1973
01:53:47,360 --> 01:53:49,160
Speaker 1: where he and Trump were neck and neck and all

1974
01:53:49,160 --> 01:53:52,320
Speaker 1: these GOP primary polls, and it was due to his

1975
01:53:52,840 --> 01:53:57,160
Speaker 1: incredible reelection. So I think it would. I do think

1976
01:53:57,200 --> 01:54:00,559
Speaker 1: a dominant reelection of fifteen point victory and right any

1977
01:54:00,560 --> 01:54:04,720
Speaker 1: double digit victory in the swing state of Pennsylvania. I

1978
01:54:04,760 --> 01:54:09,080
Speaker 1: certainly think that will be a pretty good a pretty

1979
01:54:09,080 --> 01:54:12,639
Speaker 1: good way to but it it will depend on how

1980
01:54:12,640 --> 01:54:16,640
Speaker 1: everything else looks. Right, is it a you know, Desanti's

1981
01:54:16,880 --> 01:54:20,240
Speaker 1: was advantaged even more temporarily? Is he had a great

1982
01:54:20,360 --> 01:54:24,760
Speaker 1: night when the rest of the party didn't. What does

1983
01:54:24,800 --> 01:54:27,400
Speaker 1: the rest of the Democratic performance look like right in

1984
01:54:27,439 --> 01:54:31,360
Speaker 1: comparison to Shapiro's performance, if that is indeed the case,

1985
01:54:31,360 --> 01:54:36,400
Speaker 1: And he certainly looks like he's got that horseshoe somewhere

1986
01:54:36,400 --> 01:54:40,040
Speaker 1: in his uh, in his world because the fact that

1987
01:54:40,080 --> 01:54:43,600
Speaker 1: he may get the looney guy as his as his

1988
01:54:43,640 --> 01:54:49,560
Speaker 1: opponent again? Uh is was it Mastriano? Uh is? Uh

1989
01:54:49,800 --> 01:54:52,480
Speaker 1: is pretty good luck and certainly a recipe for potentially

1990
01:54:52,480 --> 01:54:55,520
Speaker 1: winning by double digits. But you know, Wes Moore could

1991
01:54:55,560 --> 01:54:58,200
Speaker 1: end up winning by double digits too, and we'll see.

1992
01:54:58,560 --> 01:55:00,960
Speaker 1: I think it really, you know, it's fun. I do

1993
01:55:01,040 --> 01:55:04,720
Speaker 1: believe twenty six will have a psychological impact on at

1994
01:55:04,800 --> 01:55:07,480
Speaker 1: least the donors, on who's considered a front runner or not.

1995
01:55:08,000 --> 01:55:14,680
Speaker 1: I think if Democrats, if progressives, if progressive nominees lose

1996
01:55:14,920 --> 01:55:19,880
Speaker 1: key swing states in twenty six. Andy Basheer suddenly gets

1997
01:55:19,880 --> 01:55:24,120
Speaker 1: a bump in this conversation, right, and a Josh Shapiro,

1998
01:55:24,320 --> 01:55:27,760
Speaker 1: especially if he's performing better than some of the progressive sides.

1999
01:55:27,920 --> 01:55:30,240
Speaker 1: But if a bunch of progressives do really well and

2000
01:55:30,360 --> 01:55:34,200
Speaker 1: win races, that could be a boon for somebody on

2001
01:55:34,280 --> 01:55:36,560
Speaker 1: the more liberal side of things. Maybe it's a Gavin maybe,

2002
01:55:36,600 --> 01:55:38,440
Speaker 1: And if what if Gavin is Seine is the here

2003
01:55:38,600 --> 01:55:40,160
Speaker 1: you know, they win the House and Gavan is Seine

2004
01:55:40,240 --> 01:55:44,440
Speaker 1: is the hero that helped the Democrats get control of

2005
01:55:44,480 --> 01:55:48,000
Speaker 1: the House of Representatives. So there's there's different scenarios here.

2006
01:55:48,080 --> 01:55:53,600
Speaker 1: But you paint a you paint one that's not that's

2007
01:55:53,640 --> 01:55:58,000
Speaker 1: not crazy, which is a dominant Shapiro performance, particularly if

2008
01:55:58,520 --> 01:56:01,320
Speaker 1: the rest of the demok Credit party isn't having as

2009
01:56:01,320 --> 01:56:05,880
Speaker 1: good of a night. I could see that having a

2010
01:56:06,040 --> 01:56:09,120
Speaker 1: huge impact, at least in the donor community on that.

2011
01:56:09,160 --> 01:56:13,240
Speaker 1: And I do believe that. Look, electability is always a

2012
01:56:13,240 --> 01:56:15,880
Speaker 1: factor in Democratic presidential primaries more than it is in

2013
01:56:15,920 --> 01:56:20,520
Speaker 1: Republican presidential primaries. But do remember everybody's definition of electability

2014
01:56:20,560 --> 01:56:26,280
Speaker 1: is different. That's a hugely subjective thing because there was

2015
01:56:26,320 --> 01:56:32,720
Speaker 1: a time you know one, So that's yes, electability matters,

2016
01:56:33,520 --> 01:56:36,920
Speaker 1: but every voter sort of weighs it slightly differently. All

2017
01:56:37,000 --> 01:56:40,480
Speaker 1: right with that, I am, let me do it quick

2018
01:56:40,560 --> 01:56:44,240
Speaker 1: before I sign off. I am my third straight weekend.

2019
01:56:44,280 --> 01:56:46,800
Speaker 1: We'll see, we'll see how if I'm going to get

2020
01:56:46,800 --> 01:56:49,960
Speaker 1: tired of being on planes. But my third straight football weekend,

2021
01:56:50,000 --> 01:56:53,040
Speaker 1: this is This was the post Meet the Press lifestyle

2022
01:56:53,080 --> 01:56:55,760
Speaker 1: I was looking forward to the most. The ability to

2023
01:56:56,000 --> 01:57:00,640
Speaker 1: actually go to live sporting events that take place on weekends.

2024
01:57:00,720 --> 01:57:04,800
Speaker 1: It's very exciting for me. So I am headed to

2025
01:57:04,840 --> 01:57:08,280
Speaker 1: the Miami Florida State game. I have done two Miami

2026
01:57:08,280 --> 01:57:14,000
Speaker 1: Florida State games in person in the past. One both

2027
01:57:14,000 --> 01:57:15,920
Speaker 1: were Miami victories, so I have that going for me.

2028
01:57:16,000 --> 01:57:18,920
Speaker 1: One was in the pouring rain. It was in the

2029
01:57:19,040 --> 01:57:21,320
Speaker 1: for you Florida State fans. It was the Chris Ricks era.

2030
01:57:21,880 --> 01:57:25,040
Speaker 1: I think he had seven thousand turnovers that day. But

2031
01:57:25,160 --> 01:57:28,640
Speaker 1: somehow Miami also botched. I think they botched an extra point.

2032
01:57:28,840 --> 01:57:30,600
Speaker 1: It wasn't quite a wide right, but it was sort

2033
01:57:30,600 --> 01:57:33,120
Speaker 1: of a botched extra point. It was a game neither

2034
01:57:33,160 --> 01:57:37,240
Speaker 1: team should deserve to win, if I remember on that one.

2035
01:57:37,280 --> 01:57:40,280
Speaker 1: But my first ever visit to Tallahassee was during the

2036
01:57:40,320 --> 01:57:44,840
Speaker 1: eighty seven championship run and Miami was down nineteen to

2037
01:57:44,880 --> 01:57:47,880
Speaker 1: three going into the fourth quarter and won the game

2038
01:57:48,760 --> 01:57:52,760
Speaker 1: twenty six to twenty five after batting away a two

2039
01:57:52,760 --> 01:57:55,960
Speaker 1: point conversion at the end when Florida State was trying

2040
01:57:56,000 --> 01:57:57,880
Speaker 1: to go for the win. But Florida State blew a

2041
01:57:57,960 --> 01:58:00,840
Speaker 1: nineteen to three lead in the four fourth quarter. I

2042
01:58:00,880 --> 01:58:04,760
Speaker 1: was sitting in the end zone, seats twenty six, twenty five.

2043
01:58:04,840 --> 01:58:08,640
Speaker 1: It was that was at the time, the most thrilling

2044
01:58:08,720 --> 01:58:13,280
Speaker 1: road game I'd ever attended. In a pretty cool, pretty

2045
01:58:13,280 --> 01:58:16,400
Speaker 1: cool moment. I'm looking forward I haven't. This is the renewed,

2046
01:58:16,480 --> 01:58:19,520
Speaker 1: refurbished Doake Campbell Stadium. I hair it's really nice. I'm

2047
01:58:19,560 --> 01:58:23,839
Speaker 1: looking forward to it. And I'm certainly scared that Florida

2048
01:58:23,840 --> 01:58:27,640
Speaker 1: State lost that gave to UVA last Friday, because now

2049
01:58:28,160 --> 01:58:31,400
Speaker 1: this is this is a desperate Florida State team. They

2050
01:58:31,440 --> 01:58:34,640
Speaker 1: lose this, they're out of the playoff hunt without somehow

2051
01:58:34,680 --> 01:58:37,840
Speaker 1: winning the ACC title. Because I think we learned ten

2052
01:58:37,880 --> 01:58:40,640
Speaker 1: and two ACC teams and ten and two Big twelve

2053
01:58:40,640 --> 01:58:43,240
Speaker 1: teams that do not get the automatic berth are not

2054
01:58:43,240 --> 01:58:47,840
Speaker 1: going to get invited to the ACC, to the ESPN Invitational.

2055
01:58:47,920 --> 01:58:50,960
Speaker 1: That's known as the College Football Playoff Big ten, ten

2056
01:58:51,000 --> 01:58:53,080
Speaker 1: and two Big ten schools and ten and two SEC

2057
01:58:53,200 --> 01:58:57,240
Speaker 1: schools will get invited. Ten and two ACC schools will not.

2058
01:58:58,600 --> 01:59:00,720
Speaker 1: Im the number one offense in the tree last year

2059
01:59:01,000 --> 01:59:04,680
Speaker 1: arguably should have looked. They played themselves out of it

2060
01:59:04,720 --> 01:59:08,160
Speaker 1: with that stupid loss to Syracuse. But had Tenant the

2061
01:59:08,240 --> 01:59:10,840
Speaker 1: same in ten and two record out of the other

2062
01:59:10,840 --> 01:59:12,840
Speaker 1: two conferences, they would have been in the playoff and

2063
01:59:12,880 --> 01:59:16,280
Speaker 1: probably you know, certainly would have been entertaining, probably more

2064
01:59:16,400 --> 01:59:19,320
Speaker 1: entertaining participant than a couple of the other teams that

2065
01:59:19,360 --> 01:59:24,280
Speaker 1: were invited Indiana in that front or an SMU, but

2066
01:59:24,880 --> 01:59:28,280
Speaker 1: it was what it was on that front. So Florida

2067
01:59:28,280 --> 01:59:32,320
Speaker 1: State has to win because a second loss and you

2068
01:59:32,320 --> 01:59:35,960
Speaker 1: know it just it's gonna you know, they'll look. Ford

2069
01:59:36,000 --> 01:59:38,360
Speaker 1: State went thirteen to Zine couldn't get an invite to

2070
01:59:38,400 --> 01:59:41,240
Speaker 1: the ESPN Invitational. So we know that the ten and

2071
01:59:41,280 --> 01:59:45,080
Speaker 1: two records are tough. So needless to say, I'm really

2072
01:59:45,080 --> 01:59:47,080
Speaker 1: nervous about this game. This is Miami's first road game

2073
01:59:47,120 --> 01:59:52,480
Speaker 1: of the year. Yes, we could technically survive a loss,

2074
01:59:53,120 --> 01:59:55,400
Speaker 1: but I am not about surviving any losses. I think

2075
01:59:55,920 --> 01:59:59,080
Speaker 1: I think all the Miami doubters, and all the doubts

2076
01:59:59,080 --> 02:00:02,440
Speaker 1: about Miami that have sort of been embedded in so

2077
02:00:02,520 --> 02:00:05,880
Speaker 1: many people's heads over the last twenty years come back

2078
02:00:06,680 --> 02:00:09,240
Speaker 1: big time if somehow Miami doesn't win this game. But

2079
02:00:09,360 --> 02:00:15,600
Speaker 1: I you know, I feel confidence is the wrong word.

2080
02:00:15,920 --> 02:00:21,440
Speaker 1: I feel reassured about Miami's chances because of how this

2081
02:00:21,520 --> 02:00:24,880
Speaker 1: team is built. They're built on the offensive and defensive

2082
02:00:24,880 --> 02:00:29,320
Speaker 1: lines that travels. Your offensive line and defensive line travels.

2083
02:00:29,440 --> 02:00:33,240
Speaker 1: Sometimes your quarterbacks don't travel, sometimes your play calling doesn't travel.

2084
02:00:33,720 --> 02:00:36,720
Speaker 1: But the trenches travel. And so that's why I have

2085
02:00:36,840 --> 02:00:41,000
Speaker 1: and I'm not sure Florida State has the same the

2086
02:00:41,080 --> 02:00:45,160
Speaker 1: same mass of bodies in the trenches that they had

2087
02:00:45,160 --> 02:00:47,440
Speaker 1: two years ago when they were arguably one of the

2088
02:00:47,840 --> 02:00:51,280
Speaker 1: two best teams, two best teams in the country. The

2089
02:00:51,320 --> 02:00:53,840
Speaker 1: other game that I'm most obsessed with that isn't the

2090
02:00:53,840 --> 02:00:58,640
Speaker 1: Miami game is Texas's visit to Florida. Sorry Mark Murray,

2091
02:00:59,160 --> 02:01:03,480
Speaker 1: but I am really nervous about your Texas Longhorns down there.

2092
02:01:04,040 --> 02:01:08,040
Speaker 1: The uh the Gators are a desperate team, Sun, but

2093
02:01:08,200 --> 02:01:11,360
Speaker 1: Billy is a desperate team. They're a really good defensive team.

2094
02:01:12,240 --> 02:01:15,480
Speaker 1: If Texas can't move the ball, and it's a one

2095
02:01:15,560 --> 02:01:19,200
Speaker 1: score game. Anything can happen, Uh, anything can happen in

2096
02:01:19,200 --> 02:01:20,880
Speaker 1: a one score game. But I think it's the uh

2097
02:01:21,560 --> 02:01:25,560
Speaker 1: the most interesting game after the Miami Florida State game.

2098
02:01:26,200 --> 02:01:28,960
Speaker 1: I'm not sure. I'm I'm not sure. I think Alabama.

2099
02:01:31,440 --> 02:01:37,520
Speaker 1: I think Alabama. I I I'm more confident in Alabama

2100
02:01:37,520 --> 02:01:40,440
Speaker 1: against Vandy this year than I than I would have

2101
02:01:40,480 --> 02:01:43,560
Speaker 1: been even two weeks ago. I just think that they

2102
02:01:43,800 --> 02:01:46,440
Speaker 1: they know that they're seasons on the line this time.

2103
02:01:47,200 --> 02:01:51,680
Speaker 1: I think there's extra focus, right. I can't imagine any

2104
02:01:51,720 --> 02:01:54,280
Speaker 1: that that Vanderbilt sneaking up on them this time. So

2105
02:01:54,400 --> 02:01:59,400
Speaker 1: I'm sort of I'm pretty bearish on Vandy's chances. I

2106
02:01:59,440 --> 02:02:01,760
Speaker 1: love me some Diego Pavia, don't get me wrong, And

2107
02:02:01,840 --> 02:02:07,960
Speaker 1: I love watching Vanderbilt make all these big SEC schools sweat.

2108
02:02:08,240 --> 02:02:12,680
Speaker 1: But I'm weirdly I have a feeling Bama just bamas

2109
02:02:12,720 --> 02:02:15,160
Speaker 1: them up. Maybe not. We'll see, right, this will be

2110
02:02:15,440 --> 02:02:17,880
Speaker 1: they blow this, then all the Kalin de board douters

2111
02:02:17,920 --> 02:02:20,880
Speaker 1: will come back. It's like it's one thing to beat Georgia. Yes,

2112
02:02:20,960 --> 02:02:23,280
Speaker 1: that's good that you did that, but you gotta win

2113
02:02:23,360 --> 02:02:26,280
Speaker 1: the games you're supposed to win to truly satisfy your

2114
02:02:26,280 --> 02:02:29,000
Speaker 1: fan base. It's when you lose games you're not supposed

2115
02:02:29,000 --> 02:02:32,600
Speaker 1: to lose that they really get ticked off. You know

2116
02:02:32,760 --> 02:02:35,120
Speaker 1: the reason James Franklin still has a job at Penn State.

2117
02:02:35,360 --> 02:02:37,800
Speaker 1: He never loses games he's not supposed to win. And

2118
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Speaker 1: in fact, that's my other He goes out to Ucla

2119
02:02:42,640 --> 02:02:45,240
Speaker 1: watch Penn State put up a fifty burger on Ucla

2120
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Speaker 1: to sort of get out their frustrations of blowing that

2121
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Speaker 1: game against Oregon. So there's my many little college football preview.

2122
02:02:54,040 --> 02:02:58,240
Speaker 1: I am hoping for no rain because that's no fun.

2123
02:02:58,280 --> 02:02:59,840
Speaker 1: I don't want that. I got too much rain to

2124
02:03:00,080 --> 02:03:01,960
Speaker 1: the Miami Florida game, and I may have brought a

2125
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Speaker 1: cold home. So I'm hoping for some cleaner weather because

2126
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Speaker 1: I have a feeling if there's clean weather, then it

2127
02:03:08,480 --> 02:03:11,840
Speaker 1: could be a very exciting and entertaining Miami Florida State

2128
02:03:11,880 --> 02:03:14,720
Speaker 1: game and we will everybody can go and have fun.

2129
02:03:14,760 --> 02:03:18,560
Speaker 1: Flashbacks to the early nineties and the early odds, when

2130
02:03:18,600 --> 02:03:24,160
Speaker 1: Miami Florida State arguably was the most fun college football

2131
02:03:24,240 --> 02:03:27,720
Speaker 1: rivalry to watch on the national stage. It was, for

2132
02:03:27,800 --> 02:03:30,520
Speaker 1: a brief period of time, more important and more fun

2133
02:03:30,760 --> 02:03:33,960
Speaker 1: than Michigan, Ohio State or Auburn, Alabama. There's a chance

2134
02:03:34,000 --> 02:03:37,080
Speaker 1: that this year Miami Florida State is back in that

2135
02:03:37,240 --> 02:03:42,400
Speaker 1: echelon of impactful and fun rivalry games. So we shall see.

2136
02:03:42,840 --> 02:03:44,640
Speaker 1: I always root for the Knowles every year to go

2137
02:03:44,680 --> 02:03:48,720
Speaker 1: eleven and one, and this week they better. Now I'm

2138
02:03:48,760 --> 02:03:51,640
Speaker 1: rooting form to Co ten and two. Sorry, sorry to

2139
02:03:51,680 --> 02:03:54,440
Speaker 1: my to all my Florida State fans out there. That

2140
02:03:54,520 --> 02:03:57,240
Speaker 1: means you missus Todd and from there, I will see

2141
02:03:57,240 --> 02:04:01,720
Speaker 1: you in seventy two hours. And while I don't think

2142
02:04:01,760 --> 02:04:04,600
Speaker 1: the government will be opened by then, I do think

2143
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Speaker 1: the government is opened by the end of next week

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Speaker 1: and with that until I upload again.