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Speaker 1: Hello there, Happy Monday. It is Columbus Day Indigenous People

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Speaker 1: Day depending on the state you live in. Yes, both

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Speaker 1: are used. At the end of the day, a lot

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Speaker 1: of people have today off, which should mean quite a

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Speaker 1: few of you have more time to be listening. So welcome.

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Speaker 1: For those of you trying the podcast out for the

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Speaker 1: first time, Thank you appreciate it. We've loved our growth lately.

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Speaker 1: A few pieces of housekeeping. The biggest thing in the

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Speaker 1: podcast household is we have a new dog, rescue Dog two.

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Speaker 1: She's a poodle mix. I bring it up because she

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Speaker 1: may or may not make her presence known during this

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Speaker 1: portion of my recording. That's mostly why I'm sharing. I'm

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Speaker 1: sharing that news with you. Those of you that follow

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Speaker 1: me very closely on social media know at the end

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Speaker 1: of June we lost we lost a dog that we

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Speaker 1: had for fourteen years, Ruby. She was a standard Poodle.

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Speaker 1: She was terrific and lived a very full life until

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Speaker 1: the end. So we've been waiting for the summer. I'll

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Speaker 1: be honest, and I wanted to make sure it was

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Speaker 1: a rescue. This time. We didn't have kids in the house,

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Speaker 1: so you feel like you can be a little more

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Speaker 1: accommodating two more rambunctious dogs. Shall we say. She's got

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Speaker 1: a ton of energy. She's got the puppy energy of

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Speaker 1: a two year old. And at the same time, you know,

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Speaker 1: I probably only have like six to nine months of

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Speaker 1: this rather than the three years of puppy behavior that

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Speaker 1: many of you I know are used to when you

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Speaker 1: get a new dog. Anyway, so that is my daughter's

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Speaker 1: in town visiting for fall break, and so she's been

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Speaker 1: a big help here. My son comes for fall break

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Speaker 1: to meet her. He's a bit bumped that he wasn't

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Speaker 1: here for, but hey, she came a little bit earlier

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Speaker 1: than we expected. When you're on a rescue list, you

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Speaker 1: never know when they're going to say yes. Big thanks

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Speaker 1: to the folks in DC at City Dogs Rescue. They

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Speaker 1: do great work. It's almost all volunteers, as anybody knows.

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Speaker 1: You know. I hope if you're a pet lover you

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Speaker 1: help out any sort of dog and cat rescue in

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Speaker 1: your community. We know they do terrific work and it

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Speaker 1: is done simply. Most of the volunteers are there just

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Speaker 1: for the love of the animals. So big thanks to

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Speaker 1: City Dogs in Washington, d C. China. In the United

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Speaker 1: States had a escalating set of threats for the trade war,

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Speaker 1: one hundred percent tariffs and responds to protectionism with the

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Speaker 1: minerals in China. For what it's worth, all of it

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Speaker 1: seems to be posturing before the actual negotiation between the

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Speaker 1: two world leaders takes place in the next few weeks

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Speaker 1: weeks to a month. So even though the markets are reacting,

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Speaker 1: and it is interesting, when do the markets react to

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Speaker 1: Trump tariff threats, it appears whenever it's about China. Any

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Speaker 1: other aspect of tariff threats don't seem to impact the

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Speaker 1: stock market China. That's enough. Another story which I think

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Speaker 1: tells you how important the Chinese economy is to the

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Speaker 1: world economy. Right, we are the dominant economy in the world,

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Speaker 1: but we're not alone, and you know we can have

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Speaker 1: We can have a lot of impact, and so can China.

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Speaker 1: So I think we're learning here and each country is

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Speaker 1: feeling each other out. I think each country thought they

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Speaker 1: could quote unquote when this trade war, and I think

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Speaker 1: both countries are finding out in some ways this is

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Speaker 1: an unwinnable trade war. I'll get to more of it

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Speaker 1: before we get to my interview with Sandy, but I

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Speaker 1: wanted to get that out of the way. But look,

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Speaker 1: I'm going to begin with what we've been talking about

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Speaker 1: for some time, and that is where we are in

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Speaker 1: the government shutdown. And I will tell you this, We're

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Speaker 1: nowhere near We're nowhere close to seeing this resolved. And

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Speaker 1: the biggest reason is Donald Trump's not involved. Whatever you

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Speaker 1: think of Donald Trump, these days, you cannot negotiate with

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Speaker 1: Congressional Republicans without the sign off of Donald Trump. Congressional

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Speaker 1: Republicans cannot sign off on anything without getting permission from

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Speaker 1: Donald Trump. What do I mean by that? Permission? Sounds

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Speaker 1: you know, it sounds like I'm being snarky. But the

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Speaker 1: fact is, if Trump doesn't like something, he can absolutely

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Speaker 1: pull the rug out underneath from Republicans, as he has

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Speaker 1: right as he did, as he does to his own

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Speaker 1: cabinet secretaries. He just did a big one on Howard Lutnik,

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Speaker 1: who was about to amp up tariffs on international pharmaceutical

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Speaker 1: companies until Donald Trump stepped in and said, nah, we're

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Speaker 1: not going to do that because he's paranoid about price

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Speaker 1: hikes and uncertain things. Right, prescription drugs is one that

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Speaker 1: he's ultra sensitive to. He doesn't seem to be sensitive

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Speaker 1: to some things where his tariffs raise prices, but on

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Speaker 1: pharmaceuticals he is sensitive to that. I think it gets

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Speaker 1: what he believes is a big part of his constituency, older,

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Speaker 1: culturally conservative Americans who have been voting Democrat for most

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Speaker 1: of most of this twenty first century until Donald Trump

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Speaker 1: essentially promised that he wasn't going to be a Republican

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Speaker 1: that tried to cut sold security, Medicare, and Medicaid. Of course,

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Speaker 1: we're going to about to litigate a midterm election over

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Speaker 1: whether what the Republicans did is a cut to Medicaid

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Speaker 1: or not, and what voters think of the medicaid policy

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Speaker 1: that Republicans have put in. But it's just a fact.

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Speaker 1: And with Donald Trump really not engaged yet in the

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Speaker 1: government shutdown at all, he is in the Middle East

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Speaker 1: as I record this, essentially or on his way to

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Speaker 1: the Middle East, getting ready for a victory lap. And frankly,

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Speaker 1: it's a victory lop he deserves on this one, because

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Speaker 1: you know, when you look at his style of diplomacy,

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Speaker 1: it's not a good style of diplomacy to deal with

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Speaker 1: the Europeans. It is not a good style of diplomacy.

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Speaker 1: To deal with Southeast Asia, China, East Asia, you name it.

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Speaker 1: Not a good way. Maybe you could argue his style

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Speaker 1: works sort of kind of with the Indians, but that

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Speaker 1: so far has been a bit problematic. The one place

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Speaker 1: where his style of diplomacy I think can work is

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Speaker 1: in the Middle East. He's transactional, where many other of

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Speaker 1: an American president wouldn't feel comfortable, sort of doing the

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Speaker 1: kind of sleazy financial deals that are being done with

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Speaker 1: the Gulf States right now that get them engaged in

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Speaker 1: helping to pay for the rebuild of Gaza, get them

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Speaker 1: engaged with working with Israel. And if the Trumps make

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Speaker 1: a couple of bucks off of it, what does Donald

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Speaker 1: Trump care? And all of this right that it is

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Speaker 1: this sort of scratch my back, scratch your back kind

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Speaker 1: of mindset. It's unethical. It's something that I think we're

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Speaker 1: not comfortable our government doing, but it's going to get

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Speaker 1: the job done in some ways because there are no

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Speaker 1: rules in the Middle East at times. I think that

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Speaker 1: that's why you're seeing this style where ninety percent of

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Speaker 1: the time it's ineffective, but in this case it's an

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Speaker 1: effective way to go. I don't know if another American

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Speaker 1: president could have bullied Netnahu into taking this deal. He

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Speaker 1: didn't want to take any deal because his right flank

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Speaker 1: wasn't going to accept any deal. Any deal that stopped

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Speaker 1: this war clearly wasn't going to be acceptable to the

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Speaker 1: far right. One thing Donald Trump wanted was a victory, right,

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Speaker 1: He wanted to take the win. And it's an interesting

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Speaker 1: parallel because he basically it was interesting when they announced

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Speaker 1: the deal. Hamas accepted, but not quite on the terms

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Speaker 1: that Israel wanted. Trump went ahead and said, great, great

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Speaker 1: job Hamas, glad you took this deal. And it left

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Speaker 1: Netnah who completely naked, right, he yanked the rug. Bibi

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Speaker 1: did not want to say that Hamas agreed to those terms.

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Speaker 1: He wanted to continue to press forward, and Trump essentially

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Speaker 1: told him, no, you're not going to do it. Take

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Speaker 1: the win and move on. Now. Of course, the question

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Speaker 1: is going to be whether politically BB can survive without

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Speaker 1: having the threat of war right, Who's entire political career

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Speaker 1: has been about playing off of fear, fear of a Ran,

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Speaker 1: fear of Hamas, fear of Hesbelah. But it's always been

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Speaker 1: fear fear, fear. In some ways he's had, you know,

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Speaker 1: the last two years incredibly successful dealing with Iran, dealing

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Speaker 1: with Lebanon and Hesbela essentially is kneecapped Hesbela completely. Even

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Speaker 1: the uties are laying off, You're seeing diplomatic ties being

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Speaker 1: forged with many a Gulf state, and with all of

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Speaker 1: those fear factors off the table, it is likely going

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Speaker 1: to mean that the This is probably the beginning of

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Speaker 1: the end of bb NET. Now, who's political career is.

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Speaker 1: Does he have another six months? Does he stretch this

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Speaker 1: a year? We'll see. I told you about that poll

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Speaker 1: last week that showed two thirds of Israeli voters believe

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Speaker 1: he should resign. About two thirds of those wanted him

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Speaker 1: to resign immediately, another third we're willing to wait till

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Speaker 1: the war is over. Well, the war is essentially on

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Speaker 1: its way to being over. So we are now up

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Speaker 1: to two thirds of Israelis believe he needs to take responsibility.

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Speaker 1: That it was on his watch that an exposed Israel

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Speaker 1: got attacked by Jamas and all of it. You know,

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Speaker 1: it was strange much of the military strategy that bb

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Speaker 1: signed off on dealing with Iran. The hooties or hesblah,

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Speaker 1: we're all really smart and savvy. He never dealt He

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Speaker 1: never listened to his military advisors on how to deal

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Speaker 1: with Gaza and Hamas, which is arguably why it was

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Speaker 1: so brutal, was so terrible, why it was so poorly

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Speaker 1: thought out, and why it is made Israel among the

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Speaker 1: most isolated nations in the free world. And that's uh,

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Speaker 1: that's sad. For It's just sad. I'm very sad about

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Speaker 1: the fact that Israel is so isolated. I'm relieved that

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Speaker 1: many of the threats are gone, but how you conduct

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Speaker 1: yourself over time has a huge impact long term, and

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Speaker 1: we're going to see what kind of long term penalty

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Speaker 1: israel Is is going to have to pay for. How

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Speaker 1: for the horrendous way that BB and his team conducted

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Speaker 1: the war in Gaza. Everywhere else was much more precision efficiency,

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Speaker 1: sort of the the the way the Israelis had been

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Speaker 1: in some ways admired by militaries around the world for

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Speaker 1: their for their Saturday savvy and their strategy. Nobody was

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Speaker 1: admiring what they were doing in Gaza. There was nothing

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Speaker 1: like that, and in some ways that was driven by

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Speaker 1: just a far right fringe that was keeping BB in power.

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Speaker 1: But still that is what President Trump is doing right

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Speaker 1: now he's taking a victory, Levet. What he is not

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Speaker 1: doing is in the room on the shutdown, and that

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Speaker 1: at the end of the day is why we are

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Speaker 1: going to be here until he engages and at this point,

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Speaker 1: and this is this sort of gets to the theme

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Speaker 1: I want to hit on today, and that is the

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Speaker 1: sort of next level ugliness of our politics. You know,

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Speaker 1: there's always been this. Obviously politics and governing blur, but

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Speaker 1: there is a point where every successful government, no matter

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Speaker 1: which why you were governed, why you were elected. You

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Speaker 1: were elected because you're a liberal, you're elected because you

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Speaker 1: were a conservative, that ultimately, when you're governing you have

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Speaker 1: to do what's in the best interests of everybody. That

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Speaker 1: when you're governing, you don't just worry about your supporters,

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Speaker 1: you actually worry about the electorate as a whole. That's

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Speaker 1: the hallmark of this democracy. This administration governs has weaponized

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Speaker 1: everything through a political lens. When you look at what

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Speaker 1: Russell Voyd is doing at the Budget Department, this is

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Speaker 1: not a left right thing. This is dangerous behavior. Because

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Speaker 1: the minute we decide that you should govern politically and

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Speaker 1: only govern for those that support you, that is the

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Speaker 1: end of the republic as we know it is the

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Speaker 1: I'm not saying that our democracy ends, but what it

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Speaker 1: becomes is that each time one party gets elected, they

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Speaker 1: get in there and decide to purge the other party

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Speaker 1: and purge the government of You've heard Donald Trump say

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Speaker 1: that he wants to just lay off the Democrat part

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Speaker 1: of the government, right, which is why you know, in

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Speaker 1: their first round of doing this, Russell Voyd, who is

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Speaker 1: as usual, is sloppy with his initial you know, he

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Speaker 1: comes across as somebody that's very precise. But it's shocking

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Speaker 1: how often they do a lot of stupid things when

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Speaker 1: they try to do these layoffs or reduction the reduction

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Speaker 1: in force, and that they overfired at CDC and they

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Speaker 1: overfired at HHS and why did they target, right, HHS

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Speaker 1: is considered a democratic cabinet agency. Right, It's obvious they

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Speaker 1: do that when you look which ones they consider the

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Speaker 1: democratic agencies and which one they consider the republican agencies.

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Speaker 1: Like nobody has essentially hardly anybody's been furloughed or laid

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Speaker 1: off from the Department of Olymit Security, but quite a

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Speaker 1: few have been laid off at the Department of Labor.

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Speaker 1: And they went with a hatchet at the Department of HHS,

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Speaker 1: specifically at CDC, and then they realized, oh wow, all

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Speaker 1: these people are experts at certain things. These aren't political hacks.

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Speaker 1: These are reputable sciences that have incredible expertise in a

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Speaker 1: lot of areas that are crucial for the US government

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Speaker 1: to be involved in. Public health is something government has

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Speaker 1: to be involved in. This is not something you can privatize, certainly,

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Speaker 1: and so it is this is what is so scary

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Speaker 1: about what's happening. And in some ways Lindsay Graham gave

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Speaker 1: a piece of this in a recent appearance on Meet

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Speaker 1: the Press, and this goes at the weaponization of the

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Speaker 1: Justice Department, where essentially he justified what Trump was doing

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Speaker 1: by saying, but they went after Trump, and because Letitia

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Speaker 1: James went after Trump and went over the top something

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Speaker 1: that I look, I don't disagree that she shouldn't have.

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Speaker 1: She shouldn't have gone there. She could have, but she

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Speaker 1: went there for solely political reasons. You know, there it is.

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Speaker 1: It's certainly that doesn't mean he didn't do anything wrong,

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Speaker 1: but it's pretty clear she went after him. To quote,

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Speaker 1: get Trump on that front. But if you are upset

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Speaker 1: about the weaponization law of law enforcement. Then the last

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Speaker 1: thing you ought to be doing is then weaponizing law enforcement.

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Speaker 1: But that's exactly what they're doing right. Pam Bondi's just

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Speaker 1: despicable appearance in front of the Judiciary Committee last week,

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Speaker 1: where you know we now have learned thanks to some

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Speaker 1: photographs that sort of leaked she wrote down. She clearly

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Speaker 1: had her staff she so cares about politicizing the Justice

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Speaker 1: Department that she prepared for her testimony with one line

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Speaker 1: Zingers to go after any Democrat that questioned her in

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Speaker 1: a tough way. So she like had some pre made

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Speaker 1: attacks on Sheldon Whitehouse and pre made attacks on different

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Speaker 1: Democrats that questioned what she was doing over there. And

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Speaker 1: it just just take a step back, take your partisan

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Speaker 1: hat off, or put your partisan hat on, and say

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Speaker 1: if that is how Merret Garland had behaved, okay, and

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Speaker 1: it sent a Judiciary Committee, it's just coming up with

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Speaker 1: these spending time, taxpayer dollars to get her get his

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Speaker 1: staff to write one line zingers. Republicans would be rightfully

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Speaker 1: apoplectic at the politicizing of the Justice Department. But that's

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Speaker 1: exactly what Pam Bondi did. She literally spent taxpayer dollars

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Speaker 1: coming up with one liners and zingers to go after

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Speaker 1: rather than explaining if they're because she had no legal

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Speaker 1: rationale for what they did to Jim Comey, She had

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Speaker 1: no legal rationale for what they're doing to Leticia James.

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Speaker 1: She had no legal rationale to how they're just firing

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Speaker 1: US attorneys if they don't abide by the president's words.

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Speaker 1: And you know, this is another story that sort of

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Speaker 1: has gotten lost. The Washington Post has since reported and

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Speaker 1: got multiple sources to confirm that when in the infamous

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Speaker 1: Donald Trump truth social posts, that is going to probably

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Speaker 1: get the Jim Comy case thrown out of court, and

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Speaker 1: likely we'll get the Leticia James thrown out of court

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Speaker 1: because of the obvious buy that was used to get

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Speaker 1: them and diet it. And if I remind you, the

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Speaker 1: truth social Post stated this, Pam, I have reviewed over

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Speaker 1: thirty statements in posts saying that essentially quote same old

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Speaker 1: story as last time, all talked, no action, nothing is

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Speaker 1: being done. What about Kmy, Adam, Shifty Shift, Letitia, They're

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Speaker 1: all guilty as hell, but nothing is going to be done.

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Speaker 1: Then we almost put a Democrat supported US attorney in

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Speaker 1: Virginia and with a really bad Republican past awoke rhino

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Speaker 1: who is never going to do his job. That's why

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Speaker 1: two of the worst DEM senators pushed him so hard,

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Speaker 1: referring to Mark Warner and Tim Kaine for agreeing to

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Speaker 1: have to confirm that US attorney even lied to the

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Speaker 1: media and said he quit and that we had no case. No,

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Speaker 1: I fired him, and there is a great case, and

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Speaker 1: many lawyers in legal pundits say so, Lindsay Halligan is

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Speaker 1: a really good lawyer and likes you a lot. We

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Speaker 1: can't delay any longer. It's killing our reputation and our credibility.

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Speaker 1: They impeach me twice, induited me five times over nothing

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Speaker 1: just as must be served now. President DJT this because

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Speaker 1: we now know this was never intended to be a

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Speaker 1: public truth social post, so believe it or not, in

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Speaker 1: the year twenty twenty five, your United States government, the

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Speaker 1: President of the United States sends a private direct message.

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Speaker 1: Although he didn't the seventy nine year old techno expert

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Speaker 1: didn't know how to do it right. Pretty much all

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Speaker 1: of our some of us in our fifties have been there,

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Speaker 1: but certainly many people in there. Was this supposed to

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Speaker 1: be public. I didn't know, but apparently he was trying

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Speaker 1: to send her a private message. Apparently the only way

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Speaker 1: he can send a private message to the sitting Attorney

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Speaker 1: General of the United States is through his truth Social app. Seriously,

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Speaker 1: but apparently that's what it was, because this was never

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Speaker 1: meant for the public. This was supposed to be a

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Speaker 1: direct message. This is how your president of the United

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Speaker 1: States communicates with our attorney general. Our president is doing

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Speaker 1: is communicating this way. How what kind of direct messages

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Speaker 1: have gotten through? This is how he communicates even to

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Speaker 1: his own staff. Look, he was clearly threatening her and like, hey,

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Speaker 1: you better get it done. I already fired in a

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Speaker 1: US attorney that wouldn't do what I asked. I mean,

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Speaker 1: it is not hard to jump to the conclusions that

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Speaker 1: he was using this. You know, he didn't. He didn't

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Speaker 1: give her any any sort of honorific It was Pam,

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Speaker 1: let me tell you what you're going to do. But

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Speaker 1: I don't think we have had nearly the amount of

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Speaker 1: focus and attention to the fact that the president is

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Speaker 1: communicating with his staff on a completely unsecured truth. Trust me,

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Speaker 1: you think truth socials are really secure, just up to snuff,

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Speaker 1: right that Devin Newness man. That guy is a real

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Speaker 1: sharp guy, right, you trust him with your cybersecurity, You

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Speaker 1: trust him with the government cybersecurity. This is the way

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Speaker 1: the president. You Look, did you have any did you

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Speaker 1: have an issue with Hillary Clinton's emails and her private server?

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Speaker 1: This is a hundred times worse. Look, this was why

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Speaker 1: some of us thought what Hillary Clinton did was wrong.

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Speaker 1: Don't set these precedents. Don't sit here and say no, no, no.

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Speaker 1: But it's okay for me because I'm somehow I'm not

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Speaker 1: you know, I know what is what belongs in the

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Speaker 1: public record, and what doesn't. And this is what happens. Right,

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Speaker 1: We do these slippery slopes, and every time somebody decides

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Speaker 1: to change the way we do certain things, everything moves.

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Speaker 1: And now this guy has decided to have carte blanche.

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Speaker 1: He has no morals or ethics at all. There are

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Speaker 1: actually laws. These are again more laws that he's breaking. Here.

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Speaker 1: Nobody's going to prosecute him for the Presidential Records Act.

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Speaker 1: We we thought about trying to do that during the

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Speaker 1: uh UH, during the term that he was not serving,

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Speaker 1: when he clearly took classified material that belonged to the government.

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Speaker 1: Not Donald J. Trump, but he of course, does not

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Speaker 1: see the presidency as any different other than an extension

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Speaker 1: of himself, and he doesn't see any of it that plucky.

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Speaker 1: There's a reason results matter more than promises, just like

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Speaker 1: there's a reason Morgan and Morgan is America's largest injury

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Speaker 1: law firm. For the last thirty five years, they've recovered

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Speaker 1: twenty five billion dollars for more than half a million clients.

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Speaker 1: It includes cases where insurance companies offered next to nothing,

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Speaker 1: just hoping to get away with paying as little as possible.

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Speaker 1: Morgan and Morgan fought back ended up winning millions. In fact,

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Speaker 1: in Pennsylvania, one client was awarded twenty six million dollars,

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Speaker 1: which was a staggering forty times the amount that the

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Speaker 1: insurance company originally offered. That original offer six hundred and

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Speaker 1: fifty thousand dollars twenty six million, six hundred and fifty

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Speaker 1: thousand dollars. So with more than a thousand lawyers across

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Speaker 1: the country, they know how to deliver for everyday people.

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Speaker 1: If you're injured, you need lawyer, You need somebody to

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Speaker 1: get your back. Check out for the People dot Com,

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Speaker 1: Slash podcast or Dow Pound Law Pound five two nine

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Speaker 1: Law on your cell phone. And remember all law firms

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Speaker 1: are not the same. So check out Morgan and Morgan.

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Speaker 1: Their fee is free. Unless they win a US Congress

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Speaker 1: with any other president, oversight hearings would be set. Look

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Speaker 1: at all the hearings we had with Hillary Clinton's email

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Speaker 1: server where she was up there for hours being grilled

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Speaker 1: about the use of it. And again, I'm sorry, I

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Speaker 1: think she did have to answer for that because it

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Speaker 1: was wrong that she did it, because I know why

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Speaker 1: she did it. She did it to avoid Freedom of

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Speaker 1: Information Act requests. Okay, but she but she was held accountable,

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Speaker 1: and then some nobody's holding Donald Trump accountable for But

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Speaker 1: it is a brazen violation of the Government Records Act

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Speaker 1: one two, exposing all sorts of security issues by using

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Speaker 1: an unsecure truth Social app to communicate with a member

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Speaker 1: of the National Security Council. The Attorney General is a

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Speaker 1: member of the National Security Council, so in theory, much

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Speaker 1: of what they discuss is classified information all somehow in

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Speaker 1: this stew again of that, you know, because I'm sure

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Speaker 1: many people feel comfortable. If you feel comfortable with the

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Speaker 1: security of truth Social go ahead and direct message your

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Speaker 1: social security number Donald Trump. Tell me if you would

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Speaker 1: be comfortable doing that. I don't think you would. But

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Speaker 1: this is something that is just completely completely insane, and

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Speaker 1: we're like totally glossed over it because we're so used

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Speaker 1: to Donald Trump not sort of abiding by norms or

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Speaker 1: following the law. You know, when we say abiding by norms,

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Speaker 1: that's code for not following the law. Sort of totally

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Speaker 1: dismissive of laws in the US Congress's past. But of

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Speaker 1: course we have a Congress. This current Republican control Congress

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Speaker 1: is the single weakest Congress we have had easily going

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Speaker 1: back to the FDR and the New Deal. Right, but

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Speaker 1: he at least had numbers on his side. That's why

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Speaker 1: he was overwhelmingly getting Congress to essentially do what he wanted.

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Speaker 1: He actually won a large political argument which gave him

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Speaker 1: a large majority. Donald Trump has never won a majority

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Speaker 1: of anything. Even winning the popular vote, he didn't get

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Speaker 1: fifty percent. He didn't get over fifty percent. And this

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Speaker 1: Congress is just rolling over and again. The concern is

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Speaker 1: we are just setting all sorts of new precedents and

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Speaker 1: there are going to be this this Donald Trump's decision

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Speaker 1: to weaponize and ruin the credibility whatever was left of

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Speaker 1: the FBI. It is gone. Right, he is cash Ptel

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Speaker 1: is literally making Hoover seem like a statesman. We are

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Speaker 1: completely destroying the reputation of the rule of law in

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Speaker 1: this country, all because Donald Trump can't can't accept the

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Speaker 1: fact that he won. That's what's strange here. Right, he

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Speaker 1: lied to the country when he said he wouldn't be

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Speaker 1: focused on retribution. Right, he clearly was focused on retribution.

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Speaker 1: And in his own way, he thinks like a He

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Speaker 1: thinks like a movie mobster. Okay, not a real mobster, right,

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Speaker 1: Donald Trump, everything in him is sort of imaginary in

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Speaker 1: many ways, so he thinks like a movie mobster. And

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Speaker 1: in the movie, the mobster send a message, so no,

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Speaker 1: everybody knows you don't do this again. He goes after

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Speaker 1: certain people so that he can make sure other people

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Speaker 1: abide by his wishes. This is movie mobster stuff, and

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Speaker 1: is it really is deteriorating what is left of political

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Speaker 1: discourse in this country. It is deteriorating the reputation long

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Speaker 1: term of the Republican Party. And the thing is, you

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Speaker 1: know who knows it? About half of the elected Republicans

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Speaker 1: in Congress, they all know this is ridiculous. They all

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Speaker 1: know that if the roles were reversed, they would be apoplectic.

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Speaker 1: Sometimes every once in a while they admit it. The

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Speaker 1: governor of Oklahoma, Kevin Stitt, is one of the few

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Speaker 1: Republican governors questioning the decision by Greg Abbott to send

430
00:26:45,520 --> 00:26:48,760
Speaker 1: National Guard troops for the president's use in the state

431
00:26:48,800 --> 00:26:53,119
Speaker 1: of Illinois. As he said, if Joe Biden sent National

432
00:26:53,119 --> 00:26:55,320
Speaker 1: Guard troops from the state of Illinois and Oklahoma, there'd

433
00:26:55,320 --> 00:26:59,200
Speaker 1: be a problem in Oklahoma, and a lot of Republicans,

434
00:26:59,240 --> 00:27:02,480
Speaker 1: a lot of Oklahoma's have a problem with that. Good

435
00:27:02,480 --> 00:27:07,159
Speaker 1: for Kevin Stitt for speaking out the lack of people

436
00:27:07,280 --> 00:27:10,920
Speaker 1: and again, I understand the political fear many of these

437
00:27:10,920 --> 00:27:13,720
Speaker 1: Republicans have, but this stuff is not conservative, and this

438
00:27:13,760 --> 00:27:19,320
Speaker 1: stuff is eroding, eroding the reputation of the US government,

439
00:27:19,400 --> 00:27:23,280
Speaker 1: eroding the reputation of democracy around the world. Right, Because

440
00:27:23,280 --> 00:27:26,520
Speaker 1: if the US government, which is the United States, which

441
00:27:26,560 --> 00:27:30,080
Speaker 1: is considered the leading democracy around the world, starts to,

442
00:27:30,720 --> 00:27:33,240
Speaker 1: you know, essentially be abusive in its way and its

443
00:27:33,240 --> 00:27:37,440
Speaker 1: attempts to dibort people, who who are we to talk

444
00:27:37,480 --> 00:27:40,359
Speaker 1: about human rights violations to take place in Turkey, right,

445
00:27:41,000 --> 00:27:44,560
Speaker 1: or human rights violations to take place in China, where

446
00:27:44,600 --> 00:27:51,960
Speaker 1: the Wigers are clearly clearly being ex being forced basically

447
00:27:52,200 --> 00:27:56,640
Speaker 1: enforced labor camps. But we have no credibility on these

448
00:27:56,640 --> 00:28:00,840
Speaker 1: issues anymore because of how our democracy has behaved. We

449
00:28:00,920 --> 00:28:04,720
Speaker 1: have made no legal We've really not given any legal

450
00:28:04,840 --> 00:28:09,399
Speaker 1: justification for bombing boats that come out of Venezuela. I

451
00:28:09,440 --> 00:28:12,320
Speaker 1: had an interesting conversation with Jim Stevriti's for my new

452
00:28:12,359 --> 00:28:14,640
Speaker 1: sphere show. Please check it out and on oh Sphere

453
00:28:15,520 --> 00:28:17,520
Speaker 1: if you haven't tried it, do a free trial and

454
00:28:17,600 --> 00:28:21,120
Speaker 1: check out the interview. Sta Vradis was terrific. We talked,

455
00:28:21,160 --> 00:28:24,080
Speaker 1: We did a whole you know, we we did a

456
00:28:24,119 --> 00:28:30,199
Speaker 1: tour of the world, but we also talked about what

457
00:28:30,240 --> 00:28:32,919
Speaker 1: would military leaders do. What would he do? He was

458
00:28:32,960 --> 00:28:36,800
Speaker 1: the former head of Southern Command and if he was

459
00:28:36,840 --> 00:28:39,640
Speaker 1: given the orders that Southern Command has been given in

460
00:28:39,720 --> 00:28:42,480
Speaker 1: Venezuela so far. I asked him how would he handle it?

461
00:28:42,480 --> 00:28:44,360
Speaker 1: And the first thing he did, get his lawyer, he said,

462
00:28:44,720 --> 00:28:47,080
Speaker 1: his jag lawyer, which would then and if there was

463
00:28:47,120 --> 00:28:49,280
Speaker 1: some question about the legality of it, he would go

464
00:28:49,360 --> 00:28:51,600
Speaker 1: back to the Secretary of Defense and say what is

465
00:28:51,640 --> 00:28:56,280
Speaker 1: the legal justification of this? And if they created if

466
00:28:56,280 --> 00:29:00,240
Speaker 1: they had a legal justification that he felt that that

467
00:29:00,600 --> 00:29:02,840
Speaker 1: was defensible. He would follow the order, but if he

468
00:29:02,880 --> 00:29:06,120
Speaker 1: couldn't follow the order, he would resign. And I asked him,

469
00:29:06,160 --> 00:29:10,040
Speaker 1: I said, that's what is the if? What is the

470
00:29:10,040 --> 00:29:16,160
Speaker 1: most likely scenario if a high level general or admirals

471
00:29:16,200 --> 00:29:18,840
Speaker 1: given what they believe is an illegal order? And he said,

472
00:29:19,000 --> 00:29:23,000
Speaker 1: they'd likely resign without saying it in public, just simply resign.

473
00:29:25,160 --> 00:29:30,280
Speaker 1: There's there's that in his His explanation was there is

474
00:29:30,360 --> 00:29:36,200
Speaker 1: such a high level of belief in staying out of

475
00:29:36,240 --> 00:29:40,760
Speaker 1: the political fray that many a general or admiral would

476
00:29:40,800 --> 00:29:45,840
Speaker 1: feel uncomfortable making themselves the story in something like that.

477
00:29:46,400 --> 00:29:48,000
Speaker 1: I know some of you may hear that, because I

478
00:29:48,160 --> 00:29:49,720
Speaker 1: told the story to a few others and they were

479
00:29:49,720 --> 00:29:53,200
Speaker 1: disappointed to hear that. Many of these generals and admirals,

480
00:29:53,440 --> 00:29:57,800
Speaker 1: if they choose resignation, would probably do so silently and

481
00:29:57,840 --> 00:30:00,880
Speaker 1: not not go public right away why they were resigning.

482
00:30:00,880 --> 00:30:06,080
Speaker 1: Maybe they'd eventually go public, but not right away. But

483
00:30:06,120 --> 00:30:10,800
Speaker 1: that's just the that's that's how seriously many in the

484
00:30:10,800 --> 00:30:15,680
Speaker 1: military take the a political status of the military, and

485
00:30:15,960 --> 00:30:18,440
Speaker 1: what Donald Trump's trying to do right now by politicizing

486
00:30:18,480 --> 00:30:21,000
Speaker 1: the military by trying to turn the military. I mean,

487
00:30:21,520 --> 00:30:24,280
Speaker 1: it was interesting to me to see the story about

488
00:30:24,320 --> 00:30:27,040
Speaker 1: Joe Biden in the Washington Post where Biden was really

489
00:30:27,080 --> 00:30:31,480
Speaker 1: seething apparently at how Donald Trump in that in that

490
00:30:31,640 --> 00:30:36,080
Speaker 1: speech in front of the military leaders, seemed to run

491
00:30:36,160 --> 00:30:40,400
Speaker 1: down Biden personally like eight or nine times, right, totally nope. Again,

492
00:30:40,680 --> 00:30:45,560
Speaker 1: before Donald Trump, presidents drew the line at at sort

493
00:30:45,600 --> 00:30:50,840
Speaker 1: of dehumanizing previous presidents. Right, you may criticize previous policies,

494
00:30:51,080 --> 00:30:53,320
Speaker 1: but there was always there was some sort of respect

495
00:30:53,360 --> 00:30:56,720
Speaker 1: given to the person that once held the office. And

496
00:30:56,800 --> 00:30:59,960
Speaker 1: Donald Trump's lack of respect and and and a supper

497
00:31:00,160 --> 00:31:03,480
Speaker 1: order will tell me he's he's treating Biden the way

498
00:31:03,520 --> 00:31:08,280
Speaker 1: he thinks Biden treated him. Of course, Biden gave Trump

499
00:31:08,360 --> 00:31:12,840
Speaker 1: a post election oval office meeting. Donald Trump did not

500
00:31:12,960 --> 00:31:16,720
Speaker 1: do that. Joe Biden accepted the results of the twenty

501
00:31:16,760 --> 00:31:19,440
Speaker 1: twenty four election. Donald Trump didn't accept the results of

502
00:31:19,440 --> 00:31:26,640
Speaker 1: the twenty twenty election. But he has just runs down everybody. Shoot,

503
00:31:26,680 --> 00:31:30,240
Speaker 1: he's runs down pretty much every president before him except

504
00:31:30,960 --> 00:31:33,720
Speaker 1: Abraham Lincoln, and then sort of has these has this

505
00:31:33,800 --> 00:31:37,680
Speaker 1: weird obsession with saying he's better. Some people think he's

506
00:31:37,960 --> 00:31:41,360
Speaker 1: greater president than Lincoln. He's lucky. Some people don't think

507
00:31:41,440 --> 00:31:45,960
Speaker 1: he's being compared with James Buchanan, and I'll just leave

508
00:31:46,000 --> 00:31:54,560
Speaker 1: it at that. But it is this politicizing of everything right,

509
00:31:54,880 --> 00:32:00,360
Speaker 1: using the government shutdown to only attack Democrats. He's supposed

510
00:32:00,400 --> 00:32:03,960
Speaker 1: to govern for the entire United States of America. And

511
00:32:04,040 --> 00:32:07,440
Speaker 1: you've heard me rant about this before, but this inability

512
00:32:07,480 --> 00:32:11,160
Speaker 1: to want to go again. If a democratic administration refused

513
00:32:11,200 --> 00:32:14,760
Speaker 1: to govern for Republicans refute, tried to find a way

514
00:32:14,800 --> 00:32:21,080
Speaker 1: to prevent government congressionally approved government money from going to

515
00:32:21,800 --> 00:32:25,320
Speaker 1: a constituency that votes more Republican than Democrat, there would

516
00:32:25,320 --> 00:32:30,520
Speaker 1: be impeachment proceedings, and by the way, it would be justified.

517
00:32:31,320 --> 00:32:36,160
Speaker 1: What Donald Trump is doing is illegal, will likely get

518
00:32:36,200 --> 00:32:40,280
Speaker 1: reversed by the courts, but in the meantime, he is

519
00:32:40,320 --> 00:32:44,720
Speaker 1: setting some precedents that this is somehow acceptable politics and

520
00:32:44,800 --> 00:32:47,600
Speaker 1: the lack as always and I know I'm just sort

521
00:32:47,640 --> 00:32:51,440
Speaker 1: of old man yelling at cloud here, but the inability

522
00:32:51,720 --> 00:32:55,360
Speaker 1: of what's left of the principled elected Republicans out there

523
00:32:55,800 --> 00:32:59,800
Speaker 1: who cannot bring themselves to say this is wrong because

524
00:32:59,800 --> 00:33:03,200
Speaker 1: they know it's wrong, all because they are just trying

525
00:33:03,240 --> 00:33:07,120
Speaker 1: to survive politically because oh, you know, some of them say, hey,

526
00:33:07,160 --> 00:33:09,880
Speaker 1: if if you got rid of me, somebody crazier would

527
00:33:09,920 --> 00:33:17,440
Speaker 1: replace me. That's just that's just wishful thinking. Nobody is irreplaceable, Nobody,

528
00:33:18,680 --> 00:33:22,120
Speaker 1: even James Franklin at Penn State, right, nobody is irreplaceabent.

529
00:33:22,200 --> 00:33:24,920
Speaker 1: How'd you like that? Right? Giving you a hint a

530
00:33:24,960 --> 00:33:26,760
Speaker 1: little bit of what I'm gonna chat about in football

531
00:33:27,320 --> 00:33:36,080
Speaker 1: after the interview, but it is really they'll let you know, Look,

532
00:33:36,160 --> 00:33:38,360
Speaker 1: we've got a lot of crazy stuff that's happening right

533
00:33:38,400 --> 00:33:41,240
Speaker 1: now with the way he's conducting this government. But the

534
00:33:41,400 --> 00:33:45,000
Speaker 1: idea that he communicates with his staff via direct message

535
00:33:45,000 --> 00:33:48,280
Speaker 1: on truth social that sometimes can't make it out. He

536
00:33:48,360 --> 00:33:51,640
Speaker 1: has put you know, so so much of national security

537
00:33:51,680 --> 00:33:54,880
Speaker 1: at risk by by by doing that, and again god

538
00:33:54,920 --> 00:33:59,160
Speaker 1: only knows how other what other bad idea ways that

539
00:33:59,200 --> 00:34:02,520
Speaker 1: they're communicating with each other, including members of the national

540
00:34:02,560 --> 00:34:05,280
Speaker 1: security staff. And then the second thing is the lack

541
00:34:05,360 --> 00:34:12,400
Speaker 1: of outrage or concern that Again, this goes to the

542
00:34:12,400 --> 00:34:15,359
Speaker 1: whole two wrongs make a right. Donald Trump governs as

543
00:34:15,400 --> 00:34:18,799
Speaker 1: if two wrongs make a right, so weaponizing so if

544
00:34:18,840 --> 00:34:22,839
Speaker 1: he believes that, Leticia James unfairly prosecuted him. He's gonna

545
00:34:22,960 --> 00:34:29,040
Speaker 1: unfairly go after her. Well lucky for both Jim Comy

546
00:34:29,040 --> 00:34:32,520
Speaker 1: and Leticia James. Donald Trump said the quiet part out

547
00:34:32,560 --> 00:34:35,760
Speaker 1: loud because he didn't know how to send a direct

548
00:34:35,760 --> 00:34:40,080
Speaker 1: message to Pambondy on truth Social. But imagine being a

549
00:34:40,080 --> 00:34:43,600
Speaker 1: cabinet secretary and realizing before you go to bed, oh god,

550
00:34:43,840 --> 00:34:46,520
Speaker 1: did I check my direct messages on truth Social to

551
00:34:46,520 --> 00:34:49,640
Speaker 1: see if I have any new orders to follow from

552
00:34:49,680 --> 00:34:55,640
Speaker 1: dear leader. That's an this is this is this is

553
00:34:55,680 --> 00:35:01,440
Speaker 1: how we're running the country. Anyway, Before I get to

554
00:35:01,440 --> 00:35:05,799
Speaker 1: Mark Xandy, as I said, a few little updates on

555
00:35:05,840 --> 00:35:11,760
Speaker 1: the economy, I do again the one hundred percent tariff threat. Look,

556
00:35:13,280 --> 00:35:16,640
Speaker 1: there's no doubt that our trade relationship with China was

557
00:35:16,640 --> 00:35:19,040
Speaker 1: a mess. Is a mess, has been a mess before

558
00:35:19,080 --> 00:35:23,040
Speaker 1: Trump got there has been a mess. Trump knows one

559
00:35:23,600 --> 00:35:26,880
Speaker 1: way of trying to deal with them tariffs, sledgehammer. Biden

560
00:35:26,960 --> 00:35:28,799
Speaker 1: kept many of them in place. Right. This is a

561
00:35:28,880 --> 00:35:32,279
Speaker 1: very antagonistic relationship. But what we're both finding out is

562
00:35:34,080 --> 00:35:35,960
Speaker 1: we both need things from each other, and we're going

563
00:35:36,040 --> 00:35:40,040
Speaker 1: to end up having a trade deal that gives away

564
00:35:40,080 --> 00:35:41,960
Speaker 1: some things that neither side's going to be happy about.

565
00:35:43,239 --> 00:35:45,400
Speaker 1: But that's the reality of the situation. And if we

566
00:35:45,719 --> 00:35:47,279
Speaker 1: because if we don't do that, we're going to go

567
00:35:47,280 --> 00:35:52,440
Speaker 1: to war. And but this is a reminder when you

568
00:35:52,480 --> 00:35:54,520
Speaker 1: start a trade war, it is really hard to win

569
00:35:54,560 --> 00:35:58,200
Speaker 1: a trade war. And we've started a trade war, and

570
00:35:58,239 --> 00:36:02,320
Speaker 1: we're having a really hard time quote unquote trying to

571
00:36:02,360 --> 00:36:10,279
Speaker 1: win this trade war. There are real reasons why we've

572
00:36:10,320 --> 00:36:15,280
Speaker 1: got to we've got to recalibrate our economic relationship with China,

573
00:36:16,280 --> 00:36:18,279
Speaker 1: but much of it has to do with what we

574
00:36:18,360 --> 00:36:20,439
Speaker 1: need to do here, right And and one thing Donald

575
00:36:20,480 --> 00:36:23,879
Speaker 1: Trump another thing that you know, Look, I will point

576
00:36:23,920 --> 00:36:26,160
Speaker 1: out when I think Donald Trump does things that are correct.

577
00:36:26,840 --> 00:36:29,759
Speaker 1: This Midi Steel, I think is one that only he

578
00:36:30,280 --> 00:36:34,920
Speaker 1: could have pulled off given the characters involved here. But

579
00:36:34,960 --> 00:36:38,719
Speaker 1: he signed an executive order basically trying to jump start

580
00:36:40,719 --> 00:36:46,800
Speaker 1: UH production and research and UH and frankly the mining

581
00:36:47,040 --> 00:36:51,839
Speaker 1: of rare earth metals in the United States. And it

582
00:36:51,880 --> 00:36:57,080
Speaker 1: is what is motivating the quote the purchase of Greenland,

583
00:36:57,560 --> 00:37:00,840
Speaker 1: and that we are way too reliant on China for

584
00:37:00,920 --> 00:37:05,879
Speaker 1: these rare earth minerals. Look, if we had if we had,

585
00:37:06,000 --> 00:37:08,040
Speaker 1: if we knew how to conduct better form policy with

586
00:37:08,080 --> 00:37:09,920
Speaker 1: Latin America over for the last fifty years. And I

587
00:37:09,960 --> 00:37:12,000
Speaker 1: say we, I mean the United States. This is not

588
00:37:12,040 --> 00:37:14,520
Speaker 1: just something that Trump doesn't do well. This is something

589
00:37:14,560 --> 00:37:20,200
Speaker 1: every president hasn't done well. We could likely have dominance

590
00:37:20,239 --> 00:37:23,399
Speaker 1: in our own hemisphere, but we have so blown our

591
00:37:23,440 --> 00:37:28,120
Speaker 1: relationships down in South America, with Brazil in particular, Mexico

592
00:37:28,320 --> 00:37:34,120
Speaker 1: slightly improved there, and within Canada. All these antagonistic relationships

593
00:37:34,480 --> 00:37:38,240
Speaker 1: we're creating. Our own hemisphere likely could be the answer

594
00:37:38,360 --> 00:37:41,719
Speaker 1: to many of the rare earth metals that we could use,

595
00:37:42,960 --> 00:37:47,120
Speaker 1: but we've been short sighted there either way. Figuring out

596
00:37:47,200 --> 00:37:52,160
Speaker 1: how to either try to find these rare earth metals

597
00:37:52,200 --> 00:37:57,680
Speaker 1: domestically or diversifying our supply chain around the world will

598
00:37:57,680 --> 00:37:59,719
Speaker 1: allow us to be tougher on China. But right now

599
00:37:59,719 --> 00:38:04,640
Speaker 1: we have we really can't uh. And that's the that's

600
00:38:04,680 --> 00:38:20,320
Speaker 1: the uncomfortable that's the uncomfortable truth. There. It is Monday,

601
00:38:20,360 --> 00:38:22,680
Speaker 1: which also means we're going to go back into the

602
00:38:22,719 --> 00:38:32,719
Speaker 1: podcast time machine. Do I need to do a right

603
00:38:33,160 --> 00:38:36,680
Speaker 1: I don't know how. If you guys have you know,

604
00:38:37,280 --> 00:38:40,480
Speaker 1: I hope you like our little music interlude on this

605
00:38:41,040 --> 00:38:43,400
Speaker 1: you should. You should know that the inspiration I was

606
00:38:43,440 --> 00:38:47,640
Speaker 1: looking for was sort of Huey Lewis meets you know,

607
00:38:47,840 --> 00:38:51,760
Speaker 1: without you know, without having to pay Huey Lewis rights

608
00:38:51,800 --> 00:38:55,440
Speaker 1: for you know, Huey Lewis adjacent to give you the

609
00:38:55,600 --> 00:38:59,440
Speaker 1: vibe of of of back to the future. So the

610
00:38:59,480 --> 00:39:02,760
Speaker 1: time podcast Time Machine has actually got a financial theme

611
00:39:02,840 --> 00:39:06,359
Speaker 1: to it. I figured, you know, we're talking a lot

612
00:39:06,400 --> 00:39:09,360
Speaker 1: of things having to do with money the economy. Well,

613
00:39:09,640 --> 00:39:14,080
Speaker 1: on October nineteenth, nineteen eighty seven, that's where we're going back.

614
00:39:14,120 --> 00:39:16,840
Speaker 1: It's now called Black Monday. That was the day that

615
00:39:16,880 --> 00:39:20,520
Speaker 1: the US stock market lost twenty two point six percent

616
00:39:20,600 --> 00:39:23,080
Speaker 1: in a single trading day. It was one of the

617
00:39:23,080 --> 00:39:27,720
Speaker 1: most sudden and alarming crashes and financial history. And today

618
00:39:27,719 --> 00:39:30,239
Speaker 1: as we move in October twenty twenty five, we're in

619
00:39:30,280 --> 00:39:32,560
Speaker 1: the middle of it, with a lot of people wondering

620
00:39:33,080 --> 00:39:37,359
Speaker 1: is how bubblicious is this AI driven stock market? Right?

621
00:39:37,480 --> 00:39:40,160
Speaker 1: It's worth re examining the moment and asking could history

622
00:39:40,200 --> 00:39:44,560
Speaker 1: teach us anything relevant for this market? And what risks

623
00:39:44,760 --> 00:39:47,920
Speaker 1: lurk in twenty twenty five that echo nineteen eighty seven,

624
00:39:48,640 --> 00:39:51,440
Speaker 1: and are there safeguards that are missing? I have to

625
00:39:51,480 --> 00:39:53,520
Speaker 1: tell you this, we have a lot of safeguards today

626
00:39:53,680 --> 00:39:56,640
Speaker 1: because of the nineteen eighty seven black market. But here's

627
00:39:56,640 --> 00:39:58,719
Speaker 1: what you need to know about how it happened, and

628
00:39:58,880 --> 00:40:05,239
Speaker 1: I'll just be honest it that eighty seven crash. I

629
00:40:05,280 --> 00:40:10,160
Speaker 1: was fifteen. My dad would die thirty fourteen months later.

630
00:40:12,480 --> 00:40:20,520
Speaker 1: He was a modestly successful financial advisor. Needless to say,

631
00:40:20,560 --> 00:40:22,399
Speaker 1: all his clients lost a lot of money that day.

632
00:40:23,920 --> 00:40:27,680
Speaker 1: Whatever savings my parents had were gone that day never

633
00:40:27,719 --> 00:40:32,799
Speaker 1: recovered at that point and led to sort of So

634
00:40:32,880 --> 00:40:36,839
Speaker 1: I've it has always been a it was sort of

635
00:40:36,960 --> 00:40:39,400
Speaker 1: I've always pinpointed it, even though my dad had not

636
00:40:39,400 --> 00:40:42,200
Speaker 1: been diagnosed yet, always have pinpointed it as sort of

637
00:40:42,200 --> 00:40:45,799
Speaker 1: the beginning of the end for my father. So there

638
00:40:45,880 --> 00:40:50,880
Speaker 1: is a for me. This is both personal and professed

639
00:40:50,920 --> 00:40:52,680
Speaker 1: and certainly had an impact on how I think about

640
00:40:52,760 --> 00:40:54,719
Speaker 1: markets and how I think about the economy, and how

641
00:40:54,760 --> 00:41:00,480
Speaker 1: I think about how you what you think the stock

642
00:41:00,520 --> 00:41:05,400
Speaker 1: market and how much you should react, underreact, overreact, et cetera.

643
00:41:06,440 --> 00:41:08,400
Speaker 1: But let me give you sort of a larger look

644
00:41:08,480 --> 00:41:10,520
Speaker 1: at what the economy was looking like back then. In

645
00:41:10,600 --> 00:41:14,760
Speaker 1: mid eighty seven, market had already been running up big time,

646
00:41:15,280 --> 00:41:18,959
Speaker 1: valuations were stretched, growth was decelerating, while inflation and interest

647
00:41:19,040 --> 00:41:23,719
Speaker 1: rates were starting to rise again. Yet international currency was

648
00:41:23,760 --> 00:41:26,320
Speaker 1: a contributor to this one. The eighty five Plaza Accord,

649
00:41:26,600 --> 00:41:29,960
Speaker 1: which sought to push the US dollar lower, that had

650
00:41:30,000 --> 00:41:32,200
Speaker 1: a contribution there, and by eighty seven markets were uneasy

651
00:41:33,360 --> 00:41:36,680
Speaker 1: about the coordination under a follow up accord called the

652
00:41:36,760 --> 00:41:42,000
Speaker 1: Louver Accords. And what was interesting is that in the

653
00:41:42,040 --> 00:41:45,319
Speaker 1: week leading up to the crash, it was a crash

654
00:41:45,360 --> 00:41:48,320
Speaker 1: happened on a Monday, markets had already been seeing some sharp,

655
00:41:48,560 --> 00:41:52,359
Speaker 1: sharp decline, so there was definitely pressure to sell more

656
00:41:52,360 --> 00:41:55,640
Speaker 1: and more we're thinking about selling. So when you look

657
00:41:55,640 --> 00:41:59,080
Speaker 1: at you know, when you look back in history, the

658
00:41:59,080 --> 00:42:02,400
Speaker 1: biggest structural culprit to the sort of near to this

659
00:42:02,560 --> 00:42:06,840
Speaker 1: crash was something called portfolio insurance or dynamic hedging. This

660
00:42:06,960 --> 00:42:11,160
Speaker 1: was sort of the first iteration of computerized, computer based

661
00:42:11,200 --> 00:42:16,160
Speaker 1: programs that automatically triggered trades. So as prices fell, it

662
00:42:16,200 --> 00:42:20,239
Speaker 1: automatically increased short positions i e. Futures that were then

663
00:42:20,280 --> 00:42:23,279
Speaker 1: to hedge, and it effectively was selling into a weak

664
00:42:23,400 --> 00:42:27,600
Speaker 1: market and it would sort of ballooned on itself. It

665
00:42:27,680 --> 00:42:32,640
Speaker 1: triggered all sorts of horrible feedback loops, falling prices more hedge, hedging,

666
00:42:32,920 --> 00:42:36,680
Speaker 1: more selling, more downward pressure, more hedging, right, and it

667
00:42:36,719 --> 00:42:39,320
Speaker 1: was it was sort of it was what it was

668
00:42:40,200 --> 00:42:42,239
Speaker 1: the first time we were warned of what happened when

669
00:42:42,280 --> 00:42:46,640
Speaker 1: you start to attempt to automate certain trading decisions, right,

670
00:42:46,880 --> 00:42:49,960
Speaker 1: you automatically buy if you see a number here, automatically

671
00:42:50,000 --> 00:42:51,799
Speaker 1: do this if you see a number there. So all

672
00:42:51,800 --> 00:42:56,560
Speaker 1: of a sudden, quickly liquidity and and got stressed immediately.

673
00:42:57,440 --> 00:43:00,800
Speaker 1: Some stocks even open late, they were halted. Sometimes bids

674
00:43:00,800 --> 00:43:04,400
Speaker 1: disappeared because remember some things are computerized, some things weren't,

675
00:43:06,440 --> 00:43:08,960
Speaker 1: and then the structure of the market couldn't absorb all

676
00:43:08,960 --> 00:43:13,319
Speaker 1: the orders. I mean it basically, if you think about

677
00:43:13,360 --> 00:43:15,480
Speaker 1: what happened in October of eighty seven, and you know

678
00:43:15,520 --> 00:43:18,919
Speaker 1: the movie Trading Places, when they're having that when those

679
00:43:18,960 --> 00:43:22,080
Speaker 1: guys are on the floor, when everything's panicking and they're

680
00:43:22,120 --> 00:43:24,680
Speaker 1: having heart attacks, theyll sell and the whole frozen orange

681
00:43:24,760 --> 00:43:28,160
Speaker 1: juice concentrate business. If you can imagine that, that's kind

682
00:43:28,200 --> 00:43:30,680
Speaker 1: of how it looked there, and that's still the way

683
00:43:31,080 --> 00:43:37,759
Speaker 1: trading was done on that floor, and it was it

684
00:43:37,840 --> 00:43:40,520
Speaker 1: certainly led to a lot of safeguards being put in,

685
00:43:40,640 --> 00:43:43,520
Speaker 1: but the crash Interestingly about this crash is it wasn't

686
00:43:43,600 --> 00:43:47,640
Speaker 1: rooted in sort of a singular catastrophic macro shock like

687
00:43:47,680 --> 00:43:50,280
Speaker 1: the collapse of Layman Brothers right in the Great Recession.

688
00:43:51,000 --> 00:43:53,680
Speaker 1: There was no war, there was no overnight dead crisis.

689
00:43:54,200 --> 00:43:58,640
Speaker 1: The ferocity came simply from the market's of fragility, leverage,

690
00:43:58,680 --> 00:44:02,640
Speaker 1: and mechanical strategy. It was a bit over leveraged trust.

691
00:44:02,640 --> 00:44:05,719
Speaker 1: Me as a kid, I knew. I knew that it

692
00:44:05,760 --> 00:44:08,680
Speaker 1: was a tripping triple witching Friday. It was something like

693
00:44:08,719 --> 00:44:13,840
Speaker 1: when option Friday coincided with a report. I can't remember

694
00:44:14,160 --> 00:44:16,719
Speaker 1: what all of that lingo meant, but I know it

695
00:44:16,800 --> 00:44:20,440
Speaker 1: would make my father's mood either good or bad, depending

696
00:44:20,600 --> 00:44:23,480
Speaker 1: on the situation. Let's just say he never had another

697
00:44:23,520 --> 00:44:29,480
Speaker 1: good mood after that. Again, the good news about that

698
00:44:29,560 --> 00:44:34,080
Speaker 1: crash is that, because it was essentially a mechanical crash,

699
00:44:34,680 --> 00:44:37,360
Speaker 1: I guess the way to put it, it didn't provoke

700
00:44:37,400 --> 00:44:39,920
Speaker 1: a broader banking crisis. Right. There wasn't a run on

701
00:44:40,000 --> 00:44:42,600
Speaker 1: banks like we had during the Great Recession, and we

702
00:44:42,680 --> 00:44:46,720
Speaker 1: didn't end up in a deep recession unlike two thousand

703
00:44:46,760 --> 00:44:51,480
Speaker 1: and eight or even after nineteen twenty nine. Believe it

704
00:44:51,560 --> 00:44:53,960
Speaker 1: or not, It took only two sessions after the crash

705
00:44:54,000 --> 00:44:56,880
Speaker 1: for the DOW to claw back fifty seven percent of

706
00:44:56,920 --> 00:44:59,960
Speaker 1: its drop. The market fully regained its prior high by

707
00:45:00,000 --> 00:45:03,880
Speaker 1: early nineteen eighty nine, less than two years later, and

708
00:45:03,920 --> 00:45:07,440
Speaker 1: then afterward regulators and exchanges added mechanisms like circuit breakers

709
00:45:07,480 --> 00:45:11,920
Speaker 1: trading halts to slow panic in future crashes. Look, it

710
00:45:12,040 --> 00:45:15,319
Speaker 1: was the first lesson I ever got, which was, hey,

711
00:45:15,880 --> 00:45:20,040
Speaker 1: don't panic, you know, close your eyes. If you're younger,

712
00:45:20,120 --> 00:45:22,799
Speaker 1: close your eyes. Eventually the market is going to come

713
00:45:22,840 --> 00:45:26,399
Speaker 1: back because the market always you can see it, right,

714
00:45:26,440 --> 00:45:30,640
Speaker 1: there's always this upward trajectory, and in some ways many

715
00:45:30,640 --> 00:45:33,239
Speaker 1: people behave that way anyway. Now, the question is where

716
00:45:33,280 --> 00:45:36,239
Speaker 1: are we sitting now? Right? Is this a bubble? Do

717
00:45:36,320 --> 00:45:38,200
Speaker 1: we only have? Right? The S and P five hundred

718
00:45:38,239 --> 00:45:43,239
Speaker 1: keeps going gangbusters? That down not so much, right, There's

719
00:45:43,239 --> 00:45:45,719
Speaker 1: all sorts of things that could be happening here that

720
00:45:45,760 --> 00:45:48,560
Speaker 1: were not quite one hundred percent sure of. Right. Why

721
00:45:48,600 --> 00:45:51,040
Speaker 1: are the large stocks continue to go up? Is this

722
00:45:51,200 --> 00:45:54,120
Speaker 1: all due to AI investment? How much of this is

723
00:45:54,200 --> 00:45:57,320
Speaker 1: due to people who've gotten who are sort of heavy

724
00:45:57,360 --> 00:46:01,880
Speaker 1: into crypto. It got essentially legalized by the government, and

725
00:46:01,920 --> 00:46:05,640
Speaker 1: they've quickly got out of crypto and then bought Microsoft, Google,

726
00:46:05,719 --> 00:46:09,560
Speaker 1: you know, all the large cap stocks in order to

727
00:46:09,640 --> 00:46:12,800
Speaker 1: take this imagined money and turn it into a real asset.

728
00:46:14,080 --> 00:46:18,040
Speaker 1: We shall see, but there's certainly a lot going on

729
00:46:18,080 --> 00:46:23,160
Speaker 1: in this market that for those that are not experts

730
00:46:23,200 --> 00:46:26,080
Speaker 1: in it are wondering, are you sure you're not missing something?

731
00:46:26,160 --> 00:46:28,160
Speaker 1: Are we sure this isn't a bubble? Are we sure

732
00:46:28,160 --> 00:46:30,480
Speaker 1: we're not going to end up in a situation like

733
00:46:30,520 --> 00:46:31,880
Speaker 1: what we saw in two thousand and eight or what

734
00:46:31,920 --> 00:46:37,200
Speaker 1: we saw in nineteen eighty seven, in twenty twenty five,

735
00:46:37,320 --> 00:46:41,399
Speaker 1: so the question is you know what parallels are out there, Well,

736
00:46:41,440 --> 00:46:43,919
Speaker 1: we do have an algorithmic parallel, right that you could

737
00:46:43,920 --> 00:46:47,240
Speaker 1: be their markets are even more dominated by algorithmic trading,

738
00:46:47,880 --> 00:46:52,480
Speaker 1: quant strategies and AI and models, and it raises the

739
00:46:52,680 --> 00:46:58,319
Speaker 1: risk of algorithmic collisions or systemic feedback loops. We supposedly

740
00:46:58,360 --> 00:47:01,200
Speaker 1: are constantly looking to make sure this doesn't happen again,

741
00:47:01,640 --> 00:47:04,360
Speaker 1: but so much is automated. Remember we had that flash

742
00:47:04,400 --> 00:47:07,759
Speaker 1: crash this is probably about eight years ago now, which

743
00:47:07,760 --> 00:47:10,800
Speaker 1: we had that thousand point drop out of nowhere because

744
00:47:10,800 --> 00:47:14,839
Speaker 1: of a glitch in one of these automated things. And

745
00:47:15,239 --> 00:47:19,000
Speaker 1: so you can't help but wonder. And then of course

746
00:47:20,080 --> 00:47:24,720
Speaker 1: there's the fact that could a nefarious actor hack into

747
00:47:24,760 --> 00:47:28,359
Speaker 1: one of these large private equity funds and sort of

748
00:47:28,400 --> 00:47:34,040
Speaker 1: trigger trigger a flash crash of some sort, right, and

749
00:47:34,080 --> 00:47:39,560
Speaker 1: trigger a market collapse essentially by redoing an algorithm. I

750
00:47:39,560 --> 00:47:41,920
Speaker 1: think there's a lot of things here that we ought

751
00:47:41,960 --> 00:47:45,719
Speaker 1: to be worried about. The other parallel is the sort

752
00:47:45,719 --> 00:47:48,640
Speaker 1: of concentration risk, right in twenty twenty. So far this year,

753
00:47:48,719 --> 00:47:52,120
Speaker 1: valuations in certain sectors, particularly I in tech are under

754
00:47:52,320 --> 00:47:55,080
Speaker 1: a ton of scrutiny. Central banks are worrying about overvaluation,

755
00:47:55,280 --> 00:47:59,680
Speaker 1: structurally fragile markets. The equity markets are increasingly concentrated, meaning

756
00:47:59,840 --> 00:48:03,600
Speaker 1: it's just a few big, mega tech names that carry

757
00:48:03,680 --> 00:48:09,520
Speaker 1: outsized weight. Right. If Palenteer is in Navidia are somehow,

758
00:48:10,400 --> 00:48:12,759
Speaker 1: you know, exposed to be something that they're not. And

759
00:48:12,800 --> 00:48:16,200
Speaker 1: I'm not implying that they are, right, but if they

760
00:48:16,200 --> 00:48:20,040
Speaker 1: somehow were the contagion of something like that, right, it

761
00:48:20,040 --> 00:48:23,120
Speaker 1: would impact your Microsoft's, it would impact Google, it would

762
00:48:23,120 --> 00:48:27,040
Speaker 1: impact Amazon. I mean, the contagion effect of this is

763
00:48:27,040 --> 00:48:31,520
Speaker 1: something that you do have a lot of people worried about.

764
00:48:32,000 --> 00:48:34,680
Speaker 1: And then, of course the other part of this is

765
00:48:34,719 --> 00:48:36,640
Speaker 1: something we didn't have in eighty seven that we do

766
00:48:36,719 --> 00:48:40,919
Speaker 1: have today, concerned about the politicizing of the FED, which

767
00:48:40,920 --> 00:48:47,000
Speaker 1: could manipulate markets, which in turn could cause a trash,

768
00:48:47,080 --> 00:48:49,680
Speaker 1: cause a crash. Now some of the differences, right, why

769
00:48:49,760 --> 00:48:53,359
Speaker 1: eighty seven is not really a corollary to twenty twenty five.

770
00:48:53,920 --> 00:48:56,800
Speaker 1: Market infrastructure is a lot more mature. We have a

771
00:48:56,840 --> 00:48:59,400
Speaker 1: lot more exchanges that are resilient. There are more circuit

772
00:48:59,440 --> 00:49:01,839
Speaker 1: breakers in case they are halts that are baked in

773
00:49:01,920 --> 00:49:04,359
Speaker 1: in case we do have a flash crash, in case

774
00:49:04,360 --> 00:49:08,440
Speaker 1: an algorithm does go haywire. Information is a lot more transparent,

775
00:49:08,440 --> 00:49:11,839
Speaker 1: it's a lot more real time. Every investor has more

776
00:49:11,880 --> 00:49:16,080
Speaker 1: tools at their own disposal. You know. That's both good

777
00:49:16,120 --> 00:49:17,960
Speaker 1: and bad. It means everybody could make their own run

778
00:49:17,960 --> 00:49:19,160
Speaker 1: on a bank. You don't have to go find a

779
00:49:19,200 --> 00:49:24,359
Speaker 1: trader to do it for you. And in some ways,

780
00:49:24,400 --> 00:49:27,920
Speaker 1: because the markets are so global and so interconnected that

781
00:49:28,000 --> 00:49:31,319
Speaker 1: in many ways, we all either rise and fall together. Right,

782
00:49:31,360 --> 00:49:33,600
Speaker 1: It's not as if this would be an American problem,

783
00:49:33,640 --> 00:49:37,160
Speaker 1: and it wouldn't be a problem everywhere else. In a

784
00:49:37,160 --> 00:49:39,480
Speaker 1: weird way, if we're all in it together, is that

785
00:49:39,560 --> 00:49:43,520
Speaker 1: a good thing? Or will we somehow take the blame

786
00:49:43,560 --> 00:49:48,320
Speaker 1: if we somehow bring down the world the world economy.

787
00:49:48,680 --> 00:49:51,880
Speaker 1: But either way, that's the way back machine. Nineteen eighty seven,

788
00:49:53,640 --> 00:49:59,960
Speaker 1: Black Monday. It has a particular resonance for me because

789
00:50:00,239 --> 00:50:02,400
Speaker 1: it was it was for me sort of the beginning

790
00:50:02,400 --> 00:50:04,840
Speaker 1: of the end for my father and for a variety

791
00:50:04,880 --> 00:50:11,120
Speaker 1: of reasons. But it also taught me some lessons about

792
00:50:11,120 --> 00:50:14,239
Speaker 1: the market. And you know, there are people that were

793
00:50:14,239 --> 00:50:16,239
Speaker 1: close to my father were very angry about how the

794
00:50:16,280 --> 00:50:20,680
Speaker 1: market acted that day and not paying attention to the

795
00:50:20,680 --> 00:50:26,600
Speaker 1: fact that if they had just taken a breath, they'd

796
00:50:26,600 --> 00:50:29,719
Speaker 1: have been in a better place two years later than

797
00:50:29,760 --> 00:50:33,200
Speaker 1: they were on the day of the crash. And it's

798
00:50:33,239 --> 00:50:37,040
Speaker 1: something I've learned over the years. Never panic right away

799
00:50:37,440 --> 00:50:41,200
Speaker 1: when it comes. If you're investing money is don't invest

800
00:50:41,239 --> 00:50:44,560
Speaker 1: money you need right away. If you're investing money, it's

801
00:50:44,760 --> 00:50:48,120
Speaker 1: just that let it, let it do its work, and

802
00:50:48,280 --> 00:50:52,120
Speaker 1: you know the long term rise. There's always going to

803
00:50:52,160 --> 00:50:55,799
Speaker 1: be volatility in the middle, and you've got to if

804
00:50:56,000 --> 00:51:01,040
Speaker 1: if you have us, if you're invested soundly, the volatility

805
00:51:01,440 --> 00:51:05,120
Speaker 1: should should be in some ways minimized. Sometimes the worst

806
00:51:05,120 --> 00:51:08,719
Speaker 1: thing we have these days is it's too easy to

807
00:51:08,719 --> 00:51:12,480
Speaker 1: follow all of this right, So there's a history lesson

808
00:51:12,520 --> 00:51:14,200
Speaker 1: for the day. So with that, let me turn to

809
00:51:14,200 --> 00:51:23,279
Speaker 1: a few questions ask Chuck. First question comes from Brian Chuck.

810
00:51:23,320 --> 00:51:25,080
Speaker 1: I really enjoy listening to your show. For some reason,

811
00:51:25,120 --> 00:51:27,680
Speaker 1: all of our local, state, and even city political parties

812
00:51:27,840 --> 00:51:30,120
Speaker 1: all seem to be affiliated with the two national parties.

813
00:51:30,360 --> 00:51:33,400
Speaker 1: You've had independent candidates running for governor in certain states

814
00:51:33,440 --> 00:51:35,720
Speaker 1: that say they can't be a Democrat or Republican because

815
00:51:35,719 --> 00:51:38,640
Speaker 1: that brand name is toxic in that state. Here's my question.

816
00:51:38,640 --> 00:51:40,440
Speaker 1: Would it make more sense for the Democratic Party of

817
00:51:40,480 --> 00:51:44,200
Speaker 1: Idaho or the Republican Party of Massachusetts and similar situations

818
00:51:44,400 --> 00:51:46,600
Speaker 1: to change their name to something different than the Democrat

819
00:51:46,680 --> 00:51:49,480
Speaker 1: or Republican or to carve off the state political party

820
00:51:49,640 --> 00:51:52,240
Speaker 1: from the national political party names and run state candidates

821
00:51:52,239 --> 00:51:57,319
Speaker 1: for legislature for governor under a different name. Regards to Brian, well,

822
00:51:57,320 --> 00:52:00,680
Speaker 1: actually that's the state of Minnesota. It's the Demoocratic Farm

823
00:52:00,800 --> 00:52:03,360
Speaker 1: Labor Party and the Republican Party until recently used to

824
00:52:03,400 --> 00:52:07,120
Speaker 1: be known as the Independent Republican Party. Those two state parties,

825
00:52:07,200 --> 00:52:09,279
Speaker 1: and in fact, there were two parties at one time

826
00:52:09,560 --> 00:52:13,680
Speaker 1: in Minnesota that make up the Democrat and Farm DFL.

827
00:52:13,760 --> 00:52:17,600
Speaker 1: It was known as Democratic Farm Labor Party. I have

828
00:52:17,719 --> 00:52:23,040
Speaker 1: often wondered why parties haven't done this, and that, actually,

829
00:52:23,320 --> 00:52:27,439
Speaker 1: to me, isn't such a crazy notion to this day.

830
00:52:27,960 --> 00:52:33,719
Speaker 1: You know, look, the word independent is totally I can

831
00:52:33,760 --> 00:52:37,040
Speaker 1: create a halo effect. And I remember, look, Minnesota always

832
00:52:37,080 --> 00:52:39,720
Speaker 1: had a different type of Republican that could win because

833
00:52:39,760 --> 00:52:41,640
Speaker 1: they were a member of the Independent They were I

834
00:52:41,800 --> 00:52:46,560
Speaker 1: are Independent Republican Party of Minnesota. And you had guys

835
00:52:46,600 --> 00:52:49,920
Speaker 1: like Dave Durnberger Rudy Boschwitz that could win in Minnesota

836
00:52:49,920 --> 00:52:52,320
Speaker 1: probably couldn't have won in many other places as a Republican.

837
00:52:54,200 --> 00:52:58,040
Speaker 1: But I think if I I think this would make sense,

838
00:52:58,320 --> 00:53:01,800
Speaker 1: I think it would make a ton of sense. Because again,

839
00:53:02,760 --> 00:53:05,200
Speaker 1: especially if you want to believe all politics is local.

840
00:53:05,280 --> 00:53:09,160
Speaker 1: Unfortunately all politics has become national. But all politics should

841
00:53:09,160 --> 00:53:11,759
Speaker 1: be localized again. And one of the better ways to

842
00:53:11,840 --> 00:53:14,880
Speaker 1: do it is to in some ways be your own brand. Say, look,

843
00:53:15,120 --> 00:53:20,080
Speaker 1: we're affiliating for fundraising purposes with the National Democrats or

844
00:53:20,120 --> 00:53:24,920
Speaker 1: with the National Republicans, but we're kind of an independent organization.

845
00:53:25,400 --> 00:53:29,560
Speaker 1: And you know, now maybe the national parties are you know,

846
00:53:29,680 --> 00:53:33,919
Speaker 1: don't want their state chapters having that kind of independence,

847
00:53:35,360 --> 00:53:37,600
Speaker 1: or maybe it's a way to sort of test splintering

848
00:53:37,640 --> 00:53:40,719
Speaker 1: off and see how it goes on that front. But

849
00:53:40,800 --> 00:53:45,319
Speaker 1: I think it's an absolute worthy experiment. If you're the

850
00:53:45,360 --> 00:53:49,640
Speaker 1: Democratic Party in South Dakota, the Republican Party in Delaware.

851
00:53:50,640 --> 00:53:56,080
Speaker 1: And here's the thing, you can it's a cheap experiment,

852
00:53:57,440 --> 00:54:00,520
Speaker 1: you know, because you can experiment in these smaller states,

853
00:54:01,080 --> 00:54:05,160
Speaker 1: you know, these smaller sort of one party states, and

854
00:54:05,280 --> 00:54:07,160
Speaker 1: see if it does have an impact, See if you're

855
00:54:07,200 --> 00:54:10,280
Speaker 1: able to sort of recruit a different type of candidate.

856
00:54:10,960 --> 00:54:14,239
Speaker 1: Suddenly you might win more local elections. And ultimately, the

857
00:54:14,280 --> 00:54:17,080
Speaker 1: more local elections you win, the more credibility you might

858
00:54:17,120 --> 00:54:20,040
Speaker 1: get in statewide elections. And to me, if you really

859
00:54:20,080 --> 00:54:21,719
Speaker 1: want to grow your state party, the goal is to

860
00:54:21,760 --> 00:54:24,080
Speaker 1: win the governorship. The goal isn't to win Senate seats,

861
00:54:24,080 --> 00:54:27,320
Speaker 1: the goals when once you prove you can win races

862
00:54:27,360 --> 00:54:31,120
Speaker 1: locally in the state legislature and governor, everything else will

863
00:54:31,120 --> 00:54:34,920
Speaker 1: take care of itself in the state. So, Brian, I

864
00:54:34,960 --> 00:54:38,080
Speaker 1: think this is a great idea, and again it's it's

865
00:54:38,120 --> 00:54:41,440
Speaker 1: actually been done before. The Minnesota was sort of the

866
00:54:41,480 --> 00:54:46,319
Speaker 1: prime example in the twentieth century. Both I think now

867
00:54:46,320 --> 00:54:49,359
Speaker 1: they're both have gotten rid of those older names, but

868
00:54:49,400 --> 00:54:52,640
Speaker 1: they were. They had their own distinct brand, and they

869
00:54:52,680 --> 00:54:57,279
Speaker 1: prided themselves. You know, you'd have politicians in Miniicina. No,

870
00:54:57,360 --> 00:54:59,520
Speaker 1: I'm not a Democrat. I'm a member of the Democratic

871
00:54:59,560 --> 00:55:02,799
Speaker 1: farm Land Party and that was a point of pride. No, no, no, no,

872
00:55:02,800 --> 00:55:04,360
Speaker 1: I'm not a National Republican. I'm a member of the

873
00:55:04,360 --> 00:55:09,800
Speaker 1: Independent Republican Party in Minnesota. That branding helped both parties,

874
00:55:10,680 --> 00:55:13,520
Speaker 1: both helped candidates in both parties in that state. And

875
00:55:14,040 --> 00:55:16,520
Speaker 1: Minnesota is no small state, right and they're kind of

876
00:55:17,000 --> 00:55:19,040
Speaker 1: swing ish, you know, it could be a swing state.

877
00:55:19,080 --> 00:55:22,760
Speaker 1: It's not quite there. I think a non Donald Trump

878
00:55:22,880 --> 00:55:25,600
Speaker 1: led Republican Party could make Minnesota a bit more competitive

879
00:55:27,080 --> 00:55:29,399
Speaker 1: and D versus are. For what it's worth, I think

880
00:55:29,680 --> 00:55:32,719
Speaker 1: Trump is just a hard sell in the suburbs of

881
00:55:32,719 --> 00:55:37,120
Speaker 1: Minnesota for people. But anyway, I think it's a again.

882
00:55:37,200 --> 00:55:39,960
Speaker 1: It's been tried and it probably should be tried again.

883
00:55:40,080 --> 00:55:43,360
Speaker 1: Great suggestion, Brian. Next question comes from Jason with a

884
00:55:43,360 --> 00:55:46,719
Speaker 1: w Y from California. Hy Chuck, Hearing your take on

885
00:55:46,719 --> 00:55:48,400
Speaker 1: the two party system and how big these tents can

886
00:55:48,440 --> 00:55:51,040
Speaker 1: get makes me wonder why more small parties are independents

887
00:55:51,040 --> 00:55:54,480
Speaker 1: haven't emerged, You and me both brother huge overlooked reason

888
00:55:54,520 --> 00:55:56,640
Speaker 1: seems to be battle access. Oh yeah, I don't think

889
00:55:56,680 --> 00:55:58,760
Speaker 1: it's an overlooked reason. I think it is the reason.

890
00:56:00,440 --> 00:56:03,279
Speaker 1: But battle access is costly and time consuming, so only

891
00:56:03,280 --> 00:56:05,760
Speaker 1: candidates back by a major party usually make it getting

892
00:56:05,800 --> 00:56:08,240
Speaker 1: on the ballot. We're easier, we'd likely see more options

893
00:56:08,239 --> 00:56:11,279
Speaker 1: and less polarization. It's California. I am weary of a

894
00:56:11,360 --> 00:56:13,680
Speaker 1: race with one hundred plus candidates. Hello, twenty ZHO three

895
00:56:13,719 --> 00:56:19,520
Speaker 1: recall election. Ah, yes, remember we had Gary Coleman, Arianna Huffington.

896
00:56:22,120 --> 00:56:25,440
Speaker 1: I think there was at least one prostitute in that

897
00:56:25,520 --> 00:56:30,040
Speaker 1: race as well. Some might argue that if you're elected official,

898
00:56:30,080 --> 00:56:33,680
Speaker 1: you've already prostituted yourself, but I will leave that there anyway,

899
00:56:33,760 --> 00:56:36,880
Speaker 1: I keep injecting my own commentary into Jason's question. My

900
00:56:36,920 --> 00:56:40,080
Speaker 1: apologies there. Back to Jason's question, But our system right now,

901
00:56:40,120 --> 00:56:42,439
Speaker 1: where parties serve as king makers and create the rules

902
00:56:42,440 --> 00:56:45,000
Speaker 1: that block other parties from gaining access or individuals from

903
00:56:45,000 --> 00:56:47,360
Speaker 1: getting on the ballot, seems like an understated cause for

904
00:56:47,400 --> 00:56:51,000
Speaker 1: increasing polarization. What best practices would use suggest to reform

905
00:56:51,040 --> 00:56:54,680
Speaker 1: battle access and open the field. Thanks Jason from California. Well, look,

906
00:56:54,719 --> 00:56:57,360
Speaker 1: I'd like to try some better legal strategies. I think

907
00:56:57,480 --> 00:57:03,960
Speaker 1: that there's an equal protection argument, and that it is

908
00:57:04,040 --> 00:57:07,520
Speaker 1: if you can't you know the fact that there that

909
00:57:07,520 --> 00:57:09,759
Speaker 1: that a third party doesn't have an equal shot at

910
00:57:09,800 --> 00:57:14,080
Speaker 1: making the ballot as the two major parties doesn't. There's

911
00:57:14,120 --> 00:57:17,120
Speaker 1: no there's no mention of a political party in the Constitution.

912
00:57:18,400 --> 00:57:25,080
Speaker 1: I also think taxpayer funded partisan primaries are likely unconstitutional

913
00:57:25,160 --> 00:57:30,440
Speaker 1: because they they leave out they intentionally leave people out

914
00:57:30,760 --> 00:57:35,040
Speaker 1: from participating unless you're a member of this private club

915
00:57:35,840 --> 00:57:38,680
Speaker 1: known as either the Republican Party or the Democratic Party.

916
00:57:39,320 --> 00:57:42,840
Speaker 1: So I look, I think there are better legal arguments

917
00:57:42,840 --> 00:57:44,680
Speaker 1: to make. But here's here's the problem. Right, you want

918
00:57:44,720 --> 00:57:47,720
Speaker 1: to talk about a system that's rigged. Even the judiciary

919
00:57:47,800 --> 00:57:50,760
Speaker 1: is rigged by the two party system. Why they're all

920
00:57:51,240 --> 00:57:56,960
Speaker 1: appointed by members of the two parties. But I do

921
00:57:57,040 --> 00:58:03,920
Speaker 1: think a high profile effort to make this argument. I

922
00:58:03,920 --> 00:58:07,480
Speaker 1: think banning partisan primaries is probably if you could ask me,

923
00:58:07,520 --> 00:58:11,520
Speaker 1: what's one thing we could do to chip away at

924
00:58:11,520 --> 00:58:16,640
Speaker 1: polarization in America, banning partisan primaries pure and simple, having

925
00:58:16,680 --> 00:58:17,960
Speaker 1: none of it. I mean, I go back to what

926
00:58:18,040 --> 00:58:23,000
Speaker 1: David Holt said. I'm guessing you guys devoured that entire

927
00:58:23,040 --> 00:58:27,240
Speaker 1: episode with the mayor of Oklahoma City. The least polarizing

928
00:58:28,360 --> 00:58:31,440
Speaker 1: executive elected officials in the country are mayors, and it's

929
00:58:31,480 --> 00:58:34,200
Speaker 1: because of how mayors are elected. They're not Most of

930
00:58:34,240 --> 00:58:36,640
Speaker 1: them are not elected in partisan primaries. They're elected in

931
00:58:36,720 --> 00:58:39,600
Speaker 1: all party primaries. They don't run with a party ID

932
00:58:39,720 --> 00:58:43,000
Speaker 1: next to their name. Yes, people know who's liberal or conservative,

933
00:58:43,240 --> 00:58:44,880
Speaker 1: but they don't run with a party ID next to

934
00:58:44,920 --> 00:58:48,440
Speaker 1: their name, and they don't end up governing as polarizing

935
00:58:48,600 --> 00:58:53,040
Speaker 1: as now partisan governors do or partisan presidents. And here

936
00:58:53,080 --> 00:58:57,960
Speaker 1: we are, so partisan primaries is the virus. It's a

937
00:58:58,000 --> 00:59:01,160
Speaker 1: big one, and we need to if we need to.

938
00:59:01,400 --> 00:59:03,000
Speaker 1: It's one of those things. There's a lot of things

939
00:59:03,000 --> 00:59:05,400
Speaker 1: I'd like to do to open up the ballot, but

940
00:59:05,920 --> 00:59:10,240
Speaker 1: you know, in some ways, let's singularly focus on what

941
00:59:10,320 --> 00:59:15,280
Speaker 1: would help in the very very very near term banning

942
00:59:15,280 --> 00:59:20,520
Speaker 1: partisan primaries. So let's start there. Chris k from South

943
00:59:20,600 --> 00:59:23,600
Speaker 1: Carolina Rights, is it un American to feel that control

944
00:59:23,600 --> 00:59:25,400
Speaker 1: of TikTok may be less risky in the hands of

945
00:59:25,440 --> 00:59:27,360
Speaker 1: China than in the hands of a few powerful of a

946
00:59:27,400 --> 00:59:30,080
Speaker 1: few powerful Americans. Eke, I know where you're going here.

947
00:59:30,280 --> 00:59:33,080
Speaker 1: The current risk is unregulated propaganda and data harvesting. Than

948
00:59:33,120 --> 00:59:35,439
Speaker 1: I am not sure Corporate America has made the case

949
00:59:35,600 --> 00:59:39,240
Speaker 1: they would be better actors to Shay to add to

950
00:59:39,280 --> 00:59:42,880
Speaker 1: the turmoil. Fourteen billion dollars sound shady, by the way,

951
00:59:42,920 --> 00:59:45,920
Speaker 1: go hawks, Do we know who is good yet? Maybe?

952
00:59:46,040 --> 00:59:50,440
Speaker 1: Or oh this is a separate question, and he has

953
00:59:50,480 --> 00:59:52,880
Speaker 1: a separate question, do you know who's good ed yet?

954
00:59:54,000 --> 00:59:57,440
Speaker 1: On college football? I'm going to get to college football

955
00:59:57,480 --> 00:59:58,880
Speaker 1: in a minute. So it was a two part question.

956
00:59:58,920 --> 01:00:01,400
Speaker 1: Thank you, Chris. I appreciate it that. But look, the

957
01:00:01,440 --> 01:00:07,760
Speaker 1: TikTok thing, I I don't understand why TikTok's legal Congress

958
01:00:07,760 --> 01:00:12,960
Speaker 1: passed the law and and somehow Donald Trump is going

959
01:00:13,000 --> 01:00:18,440
Speaker 1: to agree to an ownership structure for TikTok. That doesn't

960
01:00:18,480 --> 01:00:22,720
Speaker 1: solve the initial problem, which is China controls the algorithm

961
01:00:23,000 --> 01:00:27,680
Speaker 1: hard stop. China controls the algorithm concentrated. Look, we're now

962
01:00:27,720 --> 01:00:31,520
Speaker 1: going to have the Ellisons owning CBS News, perhaps CNN

963
01:00:31,840 --> 01:00:36,720
Speaker 1: and TikTok. That's a pretty large chunk of the news.

964
01:00:36,760 --> 01:00:43,520
Speaker 1: I mean, the public information systems shouldn't be owned by

965
01:00:43,560 --> 01:00:48,240
Speaker 1: a select few people. And yet the concentration of power

966
01:00:48,440 --> 01:00:53,520
Speaker 1: in our in the in the ownership of platforms, right,

967
01:00:54,240 --> 01:00:57,080
Speaker 1: I mean, look at we talk about independent media. Most

968
01:00:57,120 --> 01:01:00,960
Speaker 1: of us though, are basically on two platforms, Google owned

969
01:01:01,040 --> 01:01:06,320
Speaker 1: YouTube or substack. Right, there's there's not a diversity per

970
01:01:06,440 --> 01:01:09,800
Speaker 1: se of platform there are. You know, we probably need

971
01:01:09,800 --> 01:01:13,240
Speaker 1: to diversify. There's no doubt there is too much monopolizing

972
01:01:13,400 --> 01:01:19,760
Speaker 1: of the distribution system, let alone on the content side.

973
01:01:19,880 --> 01:01:23,000
Speaker 1: We're starting to see consolidation. Uh, and it's quite a

974
01:01:23,000 --> 01:01:26,160
Speaker 1: bit of consolidation on the content side. So I think

975
01:01:26,200 --> 01:01:29,080
Speaker 1: both of them ought to concern us. And with TikTok,

976
01:01:29,240 --> 01:01:31,880
Speaker 1: it is you're right, it's the but I mean, that's

977
01:01:31,880 --> 01:01:35,600
Speaker 1: always what made the It was really frustrating to hear

978
01:01:35,640 --> 01:01:42,400
Speaker 1: many members of Congress correctly point out the propaganda potential

979
01:01:42,440 --> 01:01:47,440
Speaker 1: of TikTok and frankly the propaganda accomplishment of TikTok. Right.

980
01:01:47,560 --> 01:01:50,080
Speaker 1: You know, you know, if you if you somehow point

981
01:01:50,080 --> 01:01:53,520
Speaker 1: out what the Chinese do with the wigers, you know, nobody,

982
01:01:53,720 --> 01:01:58,320
Speaker 1: nobody ever sees that. The fact that it seems to

983
01:01:59,040 --> 01:02:06,080
Speaker 1: the algorithm re wards anti Israel messaging just automatically, no

984
01:02:06,120 --> 01:02:08,480
Speaker 1: matter what it is how do I know this. We

985
01:02:08,520 --> 01:02:11,920
Speaker 1: did our own polling on this where TikTok users between

986
01:02:11,920 --> 01:02:15,960
Speaker 1: eight and eighteen and thirty had a unfavorable rating of

987
01:02:16,000 --> 01:02:19,200
Speaker 1: Israel that was twenty points higher than if you didn't

988
01:02:19,640 --> 01:02:24,600
Speaker 1: regularly use TikTok. So this was already and so I

989
01:02:24,680 --> 01:02:27,640
Speaker 1: think what was so frustrating. Hear you're worried about TikTok,

990
01:02:27,680 --> 01:02:33,400
Speaker 1: but you're doing nothing about X or YouTube or Instagram

991
01:02:35,280 --> 01:02:38,000
Speaker 1: or anything Meta owns, right, And I think that that

992
01:02:38,240 --> 01:02:43,080
Speaker 1: was why there was plenty of TikTok users are going, well, geez,

993
01:02:43,240 --> 01:02:47,200
Speaker 1: I mean Amazon and Google take my data and sell it.

994
01:02:48,400 --> 01:02:51,560
Speaker 1: I'm certainly not crazy about that, But how is that

995
01:02:51,640 --> 01:02:54,120
Speaker 1: any more or less nefarious than what the Chinese government

996
01:02:54,200 --> 01:02:58,640
Speaker 1: is doing? At least that was the user experience. So look,

997
01:02:58,680 --> 01:03:00,479
Speaker 1: I think you bring up a lot of important points.

998
01:03:00,520 --> 01:03:05,480
Speaker 1: But I also think that we've this that this is

999
01:03:05,520 --> 01:03:08,200
Speaker 1: another thing that you have elected Republicans who were the

1000
01:03:08,200 --> 01:03:12,919
Speaker 1: biggest drivers of this, who are suddenly looking the other way.

1001
01:03:13,040 --> 01:03:18,400
Speaker 1: Even though Donald Trump is literally ignoring the rationale for

1002
01:03:18,560 --> 01:03:21,880
Speaker 1: why the TikTok ban was put in in the first place,

1003
01:03:23,080 --> 01:03:25,600
Speaker 1: which was control of that algorithm. We still don't know

1004
01:03:25,600 --> 01:03:28,320
Speaker 1: anything about it. Then Ellison's are not going to hear

1005
01:03:28,720 --> 01:03:31,600
Speaker 1: know anything about it there apparently is just going to

1006
01:03:31,600 --> 01:03:34,640
Speaker 1: be the data will be housed here. It's not about

1007
01:03:34,640 --> 01:03:38,400
Speaker 1: the data to me, it's about the propaganda and about

1008
01:03:38,400 --> 01:03:41,760
Speaker 1: that algorithm and how it's used to dial up or

1009
01:03:41,760 --> 01:03:45,160
Speaker 1: dial down what China cares about when it comes to

1010
01:03:45,160 --> 01:03:49,600
Speaker 1: public opinion. All right, I'll do one more question h here.

1011
01:03:49,640 --> 01:03:51,200
Speaker 1: The next one comes from warn. Hey, I haven't heard

1012
01:03:51,240 --> 01:03:54,160
Speaker 1: any status about infrastructure projects that were started before the

1013
01:03:54,160 --> 01:03:56,520
Speaker 1: current administration where they defunded as part of BBB or

1014
01:03:56,560 --> 01:03:59,440
Speaker 1: are they still in progress? Thank you well, Warren, some

1015
01:03:59,520 --> 01:04:04,000
Speaker 1: of them have been sort of interrupted. You know, a

1016
01:04:04,000 --> 01:04:06,240
Speaker 1: lot of it. The Biden administration tried to move a

1017
01:04:06,240 --> 01:04:08,720
Speaker 1: whole bunch of money out the door before January twentieth,

1018
01:04:09,400 --> 01:04:12,600
Speaker 1: but some of it has been cut via the recisions,

1019
01:04:13,120 --> 01:04:16,240
Speaker 1: which is arguably a part that has triggered the real

1020
01:04:16,240 --> 01:04:19,640
Speaker 1: shutdown showdown between Democrats and Republicans here. So that's one.

1021
01:04:19,960 --> 01:04:24,480
Speaker 1: The second is you've had some of the money the

1022
01:04:24,480 --> 01:04:29,040
Speaker 1: Trump administration has enough authority over that they've essentially redirected

1023
01:04:29,040 --> 01:04:32,760
Speaker 1: it to projects that they would prefer as opposed to

1024
01:04:32,800 --> 01:04:35,640
Speaker 1: some of it is, for instance, going to be I

1025
01:04:35,680 --> 01:04:37,640
Speaker 1: think some of these projects pushed to building some of

1026
01:04:37,640 --> 01:04:40,040
Speaker 1: these data centers and things like that. And then some

1027
01:04:40,120 --> 01:04:45,920
Speaker 1: of it is projects that the Trump administration is claiming

1028
01:04:46,160 --> 01:04:49,200
Speaker 1: are their ideas and they actually come from what was

1029
01:04:49,240 --> 01:04:53,080
Speaker 1: passed by the Biden administration and the Bipartisan Infrastructure Act.

1030
01:04:53,280 --> 01:04:55,560
Speaker 1: But for the most part, a lot of particularly the

1031
01:04:55,720 --> 01:04:59,640
Speaker 1: energy projects in particular, this is what Russell Voyd's been targeting.

1032
01:04:59,840 --> 01:05:02,840
Speaker 1: The This is the goes back to my introduction in

1033
01:05:02,880 --> 01:05:05,800
Speaker 1: this in the in the full episode here today, the

1034
01:05:05,880 --> 01:05:11,960
Speaker 1: political targeting, you know, using what was legally passed legislation

1035
01:05:12,600 --> 01:05:18,120
Speaker 1: and essentially only trying to cut off Democratic funds, I

1036
01:05:18,160 --> 01:05:22,560
Speaker 1: guess right. And you know he pulled funding of certain

1037
01:05:23,040 --> 01:05:26,840
Speaker 1: clean energy projects from any state that was carried by

1038
01:05:26,880 --> 01:05:30,480
Speaker 1: Kamala Harris, sort of ignoring the fact that there were

1039
01:05:30,480 --> 01:05:33,840
Speaker 1: a lot of Republicans in those states. You know, more people,

1040
01:05:33,880 --> 01:05:36,680
Speaker 1: I think more people voted for Donald Trump in La

1041
01:05:36,760 --> 01:05:40,400
Speaker 1: County than I think in all of Idaho or certainly

1042
01:05:40,400 --> 01:05:42,880
Speaker 1: all of Wyoming and a few other states like that.

1043
01:05:43,040 --> 01:05:47,800
Speaker 1: So it is not very smart how they do this,

1044
01:05:48,480 --> 01:05:51,400
Speaker 1: but it is all about getting the headline and owning

1045
01:05:51,440 --> 01:05:55,120
Speaker 1: the Libs and feeding the magabase who thinks this kind

1046
01:05:55,120 --> 01:05:59,200
Speaker 1: of weaponization of the democracy is somehow healthy and the

1047
01:05:59,240 --> 01:06:01,680
Speaker 1: right thing to do is they have convinced themselves that

1048
01:06:01,680 --> 01:06:07,720
Speaker 1: the Democrats have governed this way. And again, it's just

1049
01:06:07,800 --> 01:06:11,920
Speaker 1: because your feedback loops says they did this doesn't mean

1050
01:06:11,960 --> 01:06:15,760
Speaker 1: the facts actually match your feedback loop. But either way,

1051
01:06:16,160 --> 01:06:19,600
Speaker 1: if what you think the Biden administration did was wrong,

1052
01:06:20,880 --> 01:06:23,640
Speaker 1: why are you cheerleading the same behavior on the right.

1053
01:06:38,840 --> 01:06:45,080
Speaker 1: I will pivot to my little rant of the weekend

1054
01:06:45,120 --> 01:06:47,520
Speaker 1: in college football. It was sort of a relaxed weekend

1055
01:06:47,600 --> 01:06:51,640
Speaker 1: for me personally. Miami Hurricanes were idle. But here's my

1056
01:06:51,680 --> 01:06:55,600
Speaker 1: favorite stat of the week. When it comes to college football.

1057
01:06:56,040 --> 01:06:58,720
Speaker 1: Nine of the top seventeen teams in the preseason AP

1058
01:06:58,880 --> 01:07:04,000
Speaker 1: pole are unranked this week. How about that nine? Essentially

1059
01:07:04,040 --> 01:07:09,040
Speaker 1: the more than half of the top seventeen teams. So

1060
01:07:09,440 --> 01:07:11,640
Speaker 1: of course your first reaction may be, well, why do

1061
01:07:11,680 --> 01:07:13,640
Speaker 1: they bother with a preseason ape pole? Well, if AP

1062
01:07:13,760 --> 01:07:15,160
Speaker 1: didn't do it, somebody else would do it, and there'd

1063
01:07:15,200 --> 01:07:18,120
Speaker 1: always be somebody trying to do preseason polls. And if

1064
01:07:18,320 --> 01:07:20,400
Speaker 1: nobody was doing a shoot, I'd be doing it, right.

1065
01:07:20,440 --> 01:07:21,919
Speaker 1: We'd all want to do it. We all think we're

1066
01:07:22,640 --> 01:07:25,360
Speaker 1: we all think we're we're we follow this stuff enough.

1067
01:07:25,480 --> 01:07:29,360
Speaker 1: By the way, I have a correction from my Thursday podcast,

1068
01:07:30,160 --> 01:07:32,760
Speaker 1: courtesy of my son I kept talking about. I said, hey,

1069
01:07:32,760 --> 01:07:35,240
Speaker 1: you should make a bet on Justin saying for the heisman.

1070
01:07:35,440 --> 01:07:39,760
Speaker 1: And I'm guessing that you couldn't find a Justin saying

1071
01:07:39,840 --> 01:07:42,720
Speaker 1: to make a bet on for the heisman because his

1072
01:07:42,800 --> 01:07:45,520
Speaker 1: name's Julian. And those of you that knew his name

1073
01:07:45,560 --> 01:07:47,320
Speaker 1: was Julian when I was saying it, we're probably going

1074
01:07:47,440 --> 01:07:49,760
Speaker 1: you dumb and that or how do you not know

1075
01:07:49,840 --> 01:07:53,760
Speaker 1: it's Julian not Justin, etcetera, etcetera. Well, just so you know,

1076
01:07:53,920 --> 01:07:56,120
Speaker 1: my son was on the case. So thank you Harrison

1077
01:07:56,960 --> 01:08:00,280
Speaker 1: for that correction. I said I would give him for

1078
01:08:00,280 --> 01:08:03,600
Speaker 1: that correction. But here's where we are in college football.

1079
01:08:05,280 --> 01:08:09,560
Speaker 1: When you have essentially fifty programs spending somewhere between fifteen

1080
01:08:09,600 --> 01:08:13,680
Speaker 1: and twenty five million dollars for roster construction, you are

1081
01:08:13,720 --> 01:08:17,639
Speaker 1: now professional league right among this top forty, so among

1082
01:08:17,720 --> 01:08:20,679
Speaker 1: those sort of seventeen, you know, among the top twenty five.

1083
01:08:20,680 --> 01:08:24,800
Speaker 1: Pretty much everybody Indiana spends money on roster construction. Okay,

1084
01:08:24,800 --> 01:08:26,840
Speaker 1: maybe they don't spend as much money yet as organ

1085
01:08:27,200 --> 01:08:29,080
Speaker 1: or penn state, but they're spending a lot of money.

1086
01:08:29,479 --> 01:08:31,679
Speaker 1: I know Miami spends a lot of money. Florida spends

1087
01:08:31,720 --> 01:08:33,280
Speaker 1: a lot of money, Clemson spends a lot of You

1088
01:08:33,560 --> 01:08:37,679
Speaker 1: get the drift the rules of change, but in some ways,

1089
01:08:37,680 --> 01:08:42,519
Speaker 1: everybody's spending. And so the first couple of years, not

1090
01:08:42,600 --> 01:08:45,800
Speaker 1: everybody spent, and it allowed your TCUs to sort of

1091
01:08:46,000 --> 01:08:49,559
Speaker 1: come from nowhere and jump up right and bite everybody.

1092
01:08:49,560 --> 01:08:54,559
Speaker 1: And then they immediately disappeared because suddenly more people, more entities,

1093
01:08:54,600 --> 01:08:57,840
Speaker 1: started spending. And now we're sort of almost already at

1094
01:08:57,880 --> 01:09:03,840
Speaker 1: a major power or parody in spending. And so what

1095
01:09:03,880 --> 01:09:07,320
Speaker 1: that means is just like it's just like the NFL,

1096
01:09:08,720 --> 01:09:12,559
Speaker 1: which which is a year to year league, and you know,

1097
01:09:12,600 --> 01:09:16,160
Speaker 1: everybody's spending about the same amount of money. It is

1098
01:09:16,240 --> 01:09:19,640
Speaker 1: really hard. Yes, you have two or three or four franchises,

1099
01:09:20,080 --> 01:09:24,599
Speaker 1: are you know, can can can be in the can

1100
01:09:24,720 --> 01:09:26,800
Speaker 1: be in the top tier of the league for four

1101
01:09:26,840 --> 01:09:30,200
Speaker 1: or five years at a time. But you're gonna have

1102
01:09:30,280 --> 01:09:33,760
Speaker 1: teams go in and go out, and you're also going

1103
01:09:33,840 --> 01:09:37,080
Speaker 1: to have sort of chapters to your seasons. Like I

1104
01:09:37,120 --> 01:09:40,000
Speaker 1: also think it's a little early for us to assume

1105
01:09:40,080 --> 01:09:43,880
Speaker 1: we know that the two lost, two loss teams now

1106
01:09:43,920 --> 01:09:47,479
Speaker 1: are terrible and that the undefeated teams now are going

1107
01:09:47,560 --> 01:09:50,360
Speaker 1: to be the ones that make the playoff. Right, You

1108
01:09:50,439 --> 01:09:52,439
Speaker 1: now have a situation where you're gonna have ebbs and

1109
01:09:52,479 --> 01:09:55,360
Speaker 1: flows right and one, and you can you know, teams

1110
01:09:55,400 --> 01:09:57,600
Speaker 1: may lose. Look, Florida State's lost three in a row.

1111
01:09:57,680 --> 01:10:01,080
Speaker 1: Penn States lost three in a row. U I didn't

1112
01:10:01,120 --> 01:10:03,080
Speaker 1: see it coming with Florida State, by the way, that

1113
01:10:03,120 --> 01:10:05,360
Speaker 1: has not been very popular in my household, as some

1114
01:10:05,400 --> 01:10:09,280
Speaker 1: of you may be aware. But they also certainly had

1115
01:10:09,320 --> 01:10:13,280
Speaker 1: some holes in their roster construction, and nobody should have

1116
01:10:13,360 --> 01:10:15,880
Speaker 1: expected them to go from a two and ten season

1117
01:10:16,160 --> 01:10:19,040
Speaker 1: to playoff contention right away. But they pull an early upset,

1118
01:10:19,080 --> 01:10:22,080
Speaker 1: and so everybody sort of got over enthused, kind of

1119
01:10:22,080 --> 01:10:24,760
Speaker 1: like you know what happens to a two and o team.

1120
01:10:24,800 --> 01:10:26,760
Speaker 1: You're like, oh, wow, like last year the New Land

1121
01:10:26,800 --> 01:10:31,080
Speaker 1: Saints for two and oh they suddenly were terrible. Right, So,

1122
01:10:32,680 --> 01:10:34,840
Speaker 1: just like in the NFL, you don't know who's good early.

1123
01:10:35,160 --> 01:10:38,400
Speaker 1: Are the Chargers a good team or not? I'm not sure.

1124
01:10:38,439 --> 01:10:40,720
Speaker 1: They almost lost to the Dolphins today. They did lose

1125
01:10:40,800 --> 01:10:43,240
Speaker 1: last week, but they started off too, and oh and

1126
01:10:43,280 --> 01:10:46,160
Speaker 1: looked amazing. My Packers looked amazing the first two weeks.

1127
01:10:46,520 --> 01:10:49,200
Speaker 1: Then they lost a game to Cleveland tie Dallas. We'll

1128
01:10:49,200 --> 01:10:52,240
Speaker 1: find out how they do the rest of the season.

1129
01:10:52,760 --> 01:10:57,479
Speaker 1: So I do think that college football now is going

1130
01:10:57,520 --> 01:11:00,240
Speaker 1: to look more and more like the NFL. There's there's

1131
01:11:00,280 --> 01:11:03,920
Speaker 1: more parody. So you're going to have a year where

1132
01:11:04,040 --> 01:11:07,360
Speaker 1: a couple of years where in Indiana is contending, and

1133
01:11:07,400 --> 01:11:10,120
Speaker 1: then they may, you know, fall short on their ability

1134
01:11:10,200 --> 01:11:13,240
Speaker 1: to find the right defensive lineman and offensive linemen they

1135
01:11:13,280 --> 01:11:17,080
Speaker 1: need to sort of keep in the top tier, and

1136
01:11:17,120 --> 01:11:19,160
Speaker 1: so they may slip back. Right, That's what happened to

1137
01:11:19,240 --> 01:11:21,880
Speaker 1: Florida State, That's what's happened in to a Clemson. You know,

1138
01:11:22,120 --> 01:11:24,679
Speaker 1: I've got to sort of prepare for that with Miami.

1139
01:11:24,760 --> 01:11:27,000
Speaker 1: And I think this idea that you can expect your

1140
01:11:27,000 --> 01:11:31,040
Speaker 1: team in college football to win ten games or more five, six,

1141
01:11:31,080 --> 01:11:35,000
Speaker 1: seven years in a row is totally unrealistic because nobody

1142
01:11:35,080 --> 01:11:38,759
Speaker 1: has depth anymore. Right, Georgia and Alabama, Miami and it's heyday,

1143
01:11:39,320 --> 01:11:42,960
Speaker 1: they could stock bile talent. The greatest college football team

1144
01:11:43,000 --> 01:11:44,760
Speaker 1: of all time might be the two thousand and one

1145
01:11:44,800 --> 01:11:47,960
Speaker 1: Miami Hurricane National championship team. I say, might I accept

1146
01:11:48,360 --> 01:11:52,479
Speaker 1: the twenty nineteen LSU team as a contender for that spot. Right,

1147
01:11:53,400 --> 01:11:56,439
Speaker 1: Miami had a third string running back named Frank Gore

1148
01:11:56,479 --> 01:11:59,600
Speaker 1: on that team. Right. The first string running back was

1149
01:12:00,160 --> 01:12:02,880
Speaker 1: and Portous, His backup was a guy named Willis mcgahey,

1150
01:12:03,680 --> 01:12:05,760
Speaker 1: and the third string one was Frank Gore, who's going

1151
01:12:05,800 --> 01:12:07,559
Speaker 1: to be in the NFL Hall of Fame. So the

1152
01:12:07,600 --> 01:12:10,959
Speaker 1: point is is that in this day and age of nil,

1153
01:12:11,320 --> 01:12:14,360
Speaker 1: Frank Gore doesn't stick at Miami for two years waiting

1154
01:12:14,360 --> 01:12:18,840
Speaker 1: his turn. He's probably in another roster. And I think

1155
01:12:18,920 --> 01:12:22,559
Speaker 1: that's what you're going to see with college football, and

1156
01:12:22,600 --> 01:12:27,559
Speaker 1: that's probably why we're seeing where because you cannot you know,

1157
01:12:27,680 --> 01:12:30,920
Speaker 1: you don't have the depth, and it's really now a

1158
01:12:30,960 --> 01:12:34,240
Speaker 1: war of attrition. The teams that can stay the healthiest

1159
01:12:34,320 --> 01:12:36,120
Speaker 1: or the ones that are going to be there and

1160
01:12:36,160 --> 01:12:39,080
Speaker 1: the teams that sort of end up with some injuries

1161
01:12:39,200 --> 01:12:43,040
Speaker 1: or bad luck or the wrong you know, turns out

1162
01:12:43,120 --> 01:12:45,840
Speaker 1: somebody just wasn't as good of a quarterback as they

1163
01:12:45,880 --> 01:12:47,800
Speaker 1: thought they were going to be, or wasn't as good

1164
01:12:47,840 --> 01:12:49,519
Speaker 1: of a receiver as you thought they were going to be.

1165
01:12:51,120 --> 01:12:54,040
Speaker 1: There goes your season because there isn't a guy waiting

1166
01:12:54,040 --> 01:12:57,200
Speaker 1: in the wings that you could just tap into, and

1167
01:12:57,240 --> 01:12:59,960
Speaker 1: I think in some ways that's what we should be realized.

1168
01:13:00,000 --> 01:13:03,800
Speaker 1: Thing is that college now that college football has been professionalized,

1169
01:13:04,160 --> 01:13:08,080
Speaker 1: it's going to resemble the quirks of the NFL. And

1170
01:13:08,120 --> 01:13:11,240
Speaker 1: in many ways I would argue that college football in

1171
01:13:11,320 --> 01:13:14,360
Speaker 1: the sort of the top forty programs looks a heck

1172
01:13:14,400 --> 01:13:17,160
Speaker 1: of a lot like the NFL, more like the NFL

1173
01:13:17,439 --> 01:13:21,080
Speaker 1: than it does what college football look like even six, seven,

1174
01:13:22,000 --> 01:13:27,799
Speaker 1: eight years ago. As for who's good, I think everybody

1175
01:13:27,880 --> 01:13:30,040
Speaker 1: agrees that Ohio State and Miami seem to be good.

1176
01:13:30,040 --> 01:13:34,599
Speaker 1: They look good statistically, and they've looked good on the field.

1177
01:13:35,920 --> 01:13:37,880
Speaker 1: I could make an argument if I really, if I

1178
01:13:38,000 --> 01:13:40,040
Speaker 1: really want, I don't want Miami to be ranked number one.

1179
01:13:40,360 --> 01:13:42,640
Speaker 1: I don't like the statistic that's out there already that

1180
01:13:42,680 --> 01:13:46,200
Speaker 1: says Miami is the best chance of finishing undefeated. Look,

1181
01:13:46,360 --> 01:13:49,639
Speaker 1: I am well aware. You know, despite what the SEC thinks,

1182
01:13:50,360 --> 01:13:54,120
Speaker 1: everybody's conference road games are hard. It's not just in

1183
01:13:54,200 --> 01:13:58,240
Speaker 1: the SEC conference. Road games mean more in every conference

1184
01:13:58,880 --> 01:14:02,439
Speaker 1: and they're very difficult. And Miami has only had to

1185
01:14:02,479 --> 01:14:05,799
Speaker 1: play one road game so far. So I am fully

1186
01:14:06,080 --> 01:14:10,040
Speaker 1: on upset alert for the rest of the season. If

1187
01:14:10,040 --> 01:14:12,080
Speaker 1: we can just get through the season with one loss,

1188
01:14:12,560 --> 01:14:15,719
Speaker 1: we'll be fine, thankfully. That's how the college football playoff

1189
01:14:15,760 --> 01:14:18,440
Speaker 1: system has now made it where you don't have to

1190
01:14:18,479 --> 01:14:21,000
Speaker 1: be perfect if you're not a member of the SEC

1191
01:14:22,600 --> 01:14:24,559
Speaker 1: like you were even when we were in our top four, right,

1192
01:14:24,560 --> 01:14:27,680
Speaker 1: and sometimes perfection only doesn't work if you lose your

1193
01:14:27,680 --> 01:14:32,439
Speaker 1: starting quarterback, as Florida State found out. Because the ESPN

1194
01:14:32,479 --> 01:14:36,080
Speaker 1: Invitational is just that, it is an invitational, and even

1195
01:14:36,080 --> 01:14:40,000
Speaker 1: at twelve teams, it's still an invitational. And clearly what

1196
01:14:40,040 --> 01:14:43,599
Speaker 1: the matchups are, etc. Are going to have the networks

1197
01:14:43,600 --> 01:14:47,559
Speaker 1: are going to have to say on all that. But

1198
01:14:47,600 --> 01:14:51,040
Speaker 1: I think we know this much. We know how State's good,

1199
01:14:51,080 --> 01:14:54,559
Speaker 1: we know Miami's good. Is Indiana in that top three

1200
01:14:54,640 --> 01:14:58,040
Speaker 1: or not? Right, you start doing the you know, I

1201
01:14:58,040 --> 01:15:00,800
Speaker 1: think Indiana has looked impressive. I think they do. I

1202
01:15:00,840 --> 01:15:02,360
Speaker 1: think they're part of it. But if you want a

1203
01:15:02,439 --> 01:15:05,320
Speaker 1: question Indiana by saying, well, Oregon beat a Penn State

1204
01:15:05,360 --> 01:15:08,599
Speaker 1: team that turned out to be terrible, are they terrible?

1205
01:15:08,720 --> 01:15:12,280
Speaker 1: Are they just missing Tyler Warren? I do think that's

1206
01:15:12,320 --> 01:15:15,280
Speaker 1: something we have to realize, right Tyler Warren was so

1207
01:15:15,560 --> 01:15:21,160
Speaker 1: good at Penn State, and without him there, it's it

1208
01:15:21,240 --> 01:15:24,120
Speaker 1: is set Drew allerback. Obviously, now he's injured, so he's

1209
01:15:24,160 --> 01:15:26,040
Speaker 1: totally set back for the season. But even before he

1210
01:15:26,080 --> 01:15:29,639
Speaker 1: got injured, he didn't look like the same quarterback. Tyler.

1211
01:15:29,680 --> 01:15:35,200
Speaker 1: Warren made every made that team, made that offense incredibly

1212
01:15:35,240 --> 01:15:38,760
Speaker 1: hard to stop. He was a unicorn. How good is

1213
01:15:38,800 --> 01:15:41,920
Speaker 1: he He's turned He's helped turn the Indianapolis Colts into

1214
01:15:42,560 --> 01:15:45,519
Speaker 1: a top tier NFL team this year. So clearly they

1215
01:15:45,560 --> 01:15:49,120
Speaker 1: miss him and miss him a lot. But I think

1216
01:15:49,160 --> 01:15:50,720
Speaker 1: those are the you know, you look at those three

1217
01:15:50,720 --> 01:15:53,160
Speaker 1: teams and then after that, oh Miss almost lost to

1218
01:15:53,240 --> 01:15:56,519
Speaker 1: Washington State, a group of five teams. You know, I

1219
01:15:56,520 --> 01:15:59,080
Speaker 1: guess they're still you can say they're they're still technically

1220
01:15:59,160 --> 01:16:02,559
Speaker 1: member of the two right now. But this is a

1221
01:16:02,560 --> 01:16:05,479
Speaker 1: team that has just been devastated by the portal. Right

1222
01:16:05,520 --> 01:16:08,120
Speaker 1: They've lost their last two starting quarterbacks, Scamboard to Miami,

1223
01:16:08,200 --> 01:16:12,080
Speaker 1: John Mitteer to Oklahoma, and they lost their coaching staff.

1224
01:16:12,160 --> 01:16:15,000
Speaker 1: They're they're they're great offensive coordinator to Oklahoma as well

1225
01:16:15,080 --> 01:16:18,280
Speaker 1: with matir Uh And yet they went into Oxford and

1226
01:16:18,360 --> 01:16:22,200
Speaker 1: almost beat Ole Miss. I guess The good news is,

1227
01:16:22,240 --> 01:16:25,679
Speaker 1: if you're a long time Lane Kiffin watcher, you could

1228
01:16:25,840 --> 01:16:30,519
Speaker 1: argue the way I argue so far with Mario, which is, hey, uh,

1229
01:16:30,840 --> 01:16:34,200
Speaker 1: Lane Kiffin blows that game two years ago. At least

1230
01:16:34,200 --> 01:16:37,920
Speaker 1: he didn't blow it this time. And that's kind of

1231
01:16:37,960 --> 01:16:39,320
Speaker 1: the way I look at it. I still think Old

1232
01:16:39,320 --> 01:16:41,479
Speaker 1: Miss is going to be there at the end. And

1233
01:16:41,520 --> 01:16:43,120
Speaker 1: I think text A and M is the best team

1234
01:16:43,120 --> 01:16:45,760
Speaker 1: in the SEC. And I think they're better than Ole

1235
01:16:45,840 --> 01:16:48,320
Speaker 1: Miss by a by a little bit more than than

1236
01:16:48,560 --> 01:16:52,599
Speaker 1: than the than the rankings indicate Alabama is certainly vulnerable.

1237
01:16:52,720 --> 01:16:56,800
Speaker 1: They're not. They're not, and and limp, can I just

1238
01:16:56,880 --> 01:17:00,640
Speaker 1: say this, Georgia only won because of the official in

1239
01:17:00,680 --> 01:17:05,120
Speaker 1: that Auburn dorga game that was an atrociously officiated game.

1240
01:17:05,960 --> 01:17:12,120
Speaker 1: And you know, normally, normally most games where fans complain

1241
01:17:12,160 --> 01:17:16,400
Speaker 1: about the officiating, myself included, you know, you're only seeing

1242
01:17:16,920 --> 01:17:20,320
Speaker 1: the calls that go against you. You're not really processing

1243
01:17:20,360 --> 01:17:22,280
Speaker 1: the calls that go for you or the calls that

1244
01:17:22,320 --> 01:17:25,439
Speaker 1: go against the opponent. You don't really sort of have

1245
01:17:25,560 --> 01:17:27,960
Speaker 1: the same emotional and I do think it's sort of like,

1246
01:17:28,600 --> 01:17:31,439
Speaker 1: you know, those that judge officiating as fans are like

1247
01:17:31,920 --> 01:17:35,559
Speaker 1: partisans trying to claim they can identify media bias. Right,

1248
01:17:35,880 --> 01:17:38,840
Speaker 1: no partisan. I always laugh at people that accuse me

1249
01:17:38,880 --> 01:17:42,320
Speaker 1: of bias. It's always somebody from the from hard left

1250
01:17:42,400 --> 01:17:44,080
Speaker 1: or hard right, And I'm like, how do you guys

1251
01:17:44,080 --> 01:17:47,280
Speaker 1: know what bias looks like? Right? You're upset if people

1252
01:17:47,280 --> 01:17:50,760
Speaker 1: aren't biased in your direction. That's what you view as

1253
01:17:50,840 --> 01:17:54,880
Speaker 1: political bias. Like those that clown show that the Bozell

1254
01:17:55,000 --> 01:17:57,800
Speaker 1: family that has turned into a family grift. It's some

1255
01:17:57,880 --> 01:18:02,120
Speaker 1: sort of grifting business that that thing in the entire

1256
01:18:02,160 --> 01:18:05,719
Speaker 1: Bozell family makes money off of this off this group

1257
01:18:05,800 --> 01:18:09,760
Speaker 1: that claims there's there's somehow left wing bias hidden everywhere

1258
01:18:09,800 --> 01:18:13,880
Speaker 1: in America, and a whole bunch of right wingers like

1259
01:18:14,000 --> 01:18:18,320
Speaker 1: Bozell who thought Nixon didn't commit crimes. The old Man

1260
01:18:18,560 --> 01:18:23,800
Speaker 1: is somehow an arbiter of neutrality. Anyway. I'm not saying

1261
01:18:23,840 --> 01:18:27,360
Speaker 1: there's not biased in different places. I'm saying the Bozells

1262
01:18:27,640 --> 01:18:31,120
Speaker 1: don't have the qualifications to identify it. And it's that

1263
01:18:31,160 --> 01:18:33,720
Speaker 1: way with many fans. We don't have the qualifications to

1264
01:18:33,880 --> 01:18:37,360
Speaker 1: identify I didn't really have a I didn't really have

1265
01:18:37,400 --> 01:18:40,320
Speaker 1: a rooting interest in Georgia Auburn. I've got a lot

1266
01:18:40,360 --> 01:18:42,080
Speaker 1: of in laws that are Auburn fans, so I want

1267
01:18:42,200 --> 01:18:44,479
Speaker 1: to see Auburn do well. But I hate Hugh Freeze.

1268
01:18:44,520 --> 01:18:47,599
Speaker 1: I don't like that guy, I'll admit, so I struggle

1269
01:18:47,680 --> 01:18:50,600
Speaker 1: with you know, with my with my in laws on that.

1270
01:18:50,680 --> 01:18:53,080
Speaker 1: I'm like, yeah, okay, but why Hugh Freeze. But you

1271
01:18:53,120 --> 01:18:57,479
Speaker 1: know what, ask any Auburn fan and they sort of like, yeah,

1272
01:18:57,520 --> 01:19:02,040
Speaker 1: you Freeze. They're not they they know it, right, But

1273
01:19:02,640 --> 01:19:05,680
Speaker 1: those were just some terrible calls, and I, you know,

1274
01:19:06,600 --> 01:19:10,559
Speaker 1: Georgia gets I certainly hope the following isn't happening that

1275
01:19:10,680 --> 01:19:13,960
Speaker 1: somehow SEC officials because this is not a great year

1276
01:19:13,960 --> 01:19:18,000
Speaker 1: for the SEC. It doesn't appear they have four or

1277
01:19:18,000 --> 01:19:20,519
Speaker 1: five great teams ap peers. They might have one great

1278
01:19:20,520 --> 01:19:22,600
Speaker 1: team in Texas A and M, and a couple of

1279
01:19:22,640 --> 01:19:24,840
Speaker 1: good teams. No different than the Big Ten, no different

1280
01:19:24,880 --> 01:19:27,280
Speaker 1: than the ACC, no different than the Big twelve. They

1281
01:19:27,320 --> 01:19:29,880
Speaker 1: just look like another conference this year. They don't look

1282
01:19:30,000 --> 01:19:35,400
Speaker 1: like the SEC. Right, But how badly does the SEC

1283
01:19:35,439 --> 01:19:38,479
Speaker 1: want to protect its big brands? Right? Are Alabama and

1284
01:19:38,520 --> 01:19:40,719
Speaker 1: Georgia going to continue to get calls for the rest

1285
01:19:40,720 --> 01:19:44,280
Speaker 1: of the year like this? You know, and is Texas

1286
01:19:44,320 --> 01:19:46,920
Speaker 1: and Oklahoma sort of in that same category where those

1287
01:19:46,960 --> 01:19:49,760
Speaker 1: teams will get calls more likely, right, Oklahoma got it

1288
01:19:49,800 --> 01:19:52,320
Speaker 1: against Auburn. Now Auburn, you know, didn't get a call

1289
01:19:52,360 --> 01:19:56,880
Speaker 1: against Georgia. I hesitate to see how the refereeing looks

1290
01:19:56,880 --> 01:20:00,840
Speaker 1: when Auburn has to play Alabama. But my good, the

1291
01:20:00,880 --> 01:20:04,439
Speaker 1: refs decided that game when they didn't award that touchdown

1292
01:20:04,479 --> 01:20:06,640
Speaker 1: to Jackson Arnold and they gave it a turnover that

1293
01:20:07,439 --> 01:20:10,280
Speaker 1: it flipped the game completely. Instead of seventeen to nothing

1294
01:20:10,720 --> 01:20:13,720
Speaker 1: at halftime, it was ten to three. And that was

1295
01:20:13,760 --> 01:20:20,880
Speaker 1: a massive, massive swing. By what was again, I mean

1296
01:20:21,479 --> 01:20:25,880
Speaker 1: you break the plane period, right it is? And by

1297
01:20:25,920 --> 01:20:30,160
Speaker 1: the way, guys, in this day and age, can we

1298
01:20:30,280 --> 01:20:34,320
Speaker 1: please create some sort of new barrier right where and

1299
01:20:35,920 --> 01:20:38,800
Speaker 1: a chip in the ball so that the second it

1300
01:20:38,840 --> 01:20:42,280
Speaker 1: crosses that goal line, you know right that, you know it,

1301
01:20:42,360 --> 01:20:45,000
Speaker 1: you see it. You can't tell me we don't have

1302
01:20:45,000 --> 01:20:49,360
Speaker 1: the technology to be able to do that rather than

1303
01:20:49,439 --> 01:20:51,360
Speaker 1: having all of these days, because here's the other thing

1304
01:20:51,400 --> 01:20:54,800
Speaker 1: you have is that not every every NFL game has

1305
01:20:54,840 --> 01:20:57,519
Speaker 1: every camera angle that you would want for replay, but

1306
01:20:57,600 --> 01:21:00,400
Speaker 1: not every college game has that. The big time college

1307
01:21:00,439 --> 01:21:03,479
Speaker 1: games right that are gonna get covered in primetime by

1308
01:21:03,479 --> 01:21:06,840
Speaker 1: your Fox, your NBC, your your NBC, and your Fox

1309
01:21:06,880 --> 01:21:11,120
Speaker 1: at CBS and ESPN. They there's about six or seven

1310
01:21:11,160 --> 01:21:15,400
Speaker 1: games that'll have seventeen eighteen different cameras, but most of

1311
01:21:15,439 --> 01:21:17,720
Speaker 1: the other games don't have that many cameras because the

1312
01:21:17,720 --> 01:21:19,960
Speaker 1: networks are wanting to spend that kind of money for

1313
01:21:20,960 --> 01:21:23,559
Speaker 1: what might be a streaming game, or what might be

1314
01:21:23,560 --> 01:21:26,280
Speaker 1: an ESPN two or CBO Sports Network or if this

1315
01:21:26,400 --> 01:21:30,960
Speaker 1: one peacock you get it right. So, like I was

1316
01:21:31,000 --> 01:21:33,519
Speaker 1: watching the Florida State pit game. They didn't have a

1317
01:21:33,520 --> 01:21:38,120
Speaker 1: camera angle right down the goal line, so they couldn't

1318
01:21:38,160 --> 01:21:40,320
Speaker 1: tell for sure. They did a review of a touchdown

1319
01:21:40,360 --> 01:21:43,000
Speaker 1: that I'm pretty sure was a touchdown, but they didn't.

1320
01:21:43,240 --> 01:21:46,799
Speaker 1: It's because they didn't have a camera angle to dispute

1321
01:21:46,840 --> 01:21:51,960
Speaker 1: it even if you wanted to dispute it. That seems like, look,

1322
01:21:51,960 --> 01:21:55,120
Speaker 1: if you're gonna do replay and we have the ability,

1323
01:21:55,200 --> 01:21:59,320
Speaker 1: my god, we can put GoPros everywhere. Now. This is

1324
01:21:59,400 --> 01:22:02,680
Speaker 1: not a high cost the way it even was just

1325
01:22:02,720 --> 01:22:05,479
Speaker 1: five or six years ago. If you do care about

1326
01:22:05,520 --> 01:22:07,160
Speaker 1: the outcomes of these games and you want to make

1327
01:22:07,160 --> 01:22:09,680
Speaker 1: sure we always get it right. Let's make sure we

1328
01:22:09,720 --> 01:22:12,559
Speaker 1: have all the equipment at all the games that are

1329
01:22:12,600 --> 01:22:16,479
Speaker 1: getting televised and that are going to use replay. You

1330
01:22:16,560 --> 01:22:19,800
Speaker 1: can't just sort of be glad that, oh well, hey,

1331
01:22:20,160 --> 01:22:22,120
Speaker 1: because believe it or not, I don't know if we

1332
01:22:22,120 --> 01:22:25,519
Speaker 1: would have had that camera angle that Georgia Auburn had

1333
01:22:26,240 --> 01:22:29,479
Speaker 1: which showed Arnold the ball crossing the goal line before

1334
01:22:29,520 --> 01:22:32,040
Speaker 1: it was punched out. I don't know if you would

1335
01:22:32,040 --> 01:22:34,639
Speaker 1: have had that at the U. Mass Can't State game.

1336
01:22:35,120 --> 01:22:38,760
Speaker 1: Then again, maybe we didn't need any replay officials for

1337
01:22:38,800 --> 01:22:41,600
Speaker 1: the U. Mass can Stake game. All right, there's my

1338
01:22:41,640 --> 01:22:44,479
Speaker 1: college football rant for the week. So there you go.

1339
01:22:44,560 --> 01:22:46,920
Speaker 1: Appreciate it, Appreciate you here. I hope you enjoy If

1340
01:22:46,960 --> 01:22:48,880
Speaker 1: you have a holiday today, I hope you're enjoying it.

1341
01:22:48,920 --> 01:22:52,320
Speaker 1: For those that are nervous about getting their paycheck due

1342
01:22:52,320 --> 01:22:56,200
Speaker 1: to the government shutdown, I'm sorry. I hope this podcast

1343
01:22:56,840 --> 01:22:59,360
Speaker 1: and the attention that we give to it serves as

1344
01:22:59,400 --> 01:23:02,200
Speaker 1: at least something that can be done there and maybe

1345
01:23:02,280 --> 01:23:06,400
Speaker 1: at worst or at best, my podcast is a distraction

1346
01:23:06,520 --> 01:23:08,599
Speaker 1: for the day. So with that, thank you for listening,

1347
01:23:08,680 --> 01:23:10,800
Speaker 1: Thank you for liking and subscribing. Thank you for all

1348
01:23:10,840 --> 01:23:13,679
Speaker 1: those five star reviews hint, and with that, I'll see

1349
01:23:13,680 --> 01:23:14,479
Speaker 1: you in forty eight hours.