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Speaker 1: The Mark Belling Podcast is presented by you Line for

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Speaker 1: quality shipping and industrial supplies. You Line has everything in stock.

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Speaker 1: Visit you line dot com. The Markbelling Podcast is a

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Speaker 1: production of iHeartRadio Podcasts.

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Speaker 2: Today we have a Quote of the Day. We don't

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Speaker 2: have a quote of the day every day. Some days

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Speaker 2: we put the quote of the day at the end

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Speaker 2: of the program. Other days there's no quote of the

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Speaker 2: day at all. Today's Quote of the Day starts the show.

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Speaker 2: It's really good and it helps explain at least two

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Speaker 2: or three of the topics that we have on the show,

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Speaker 2: including the very first one. The quote is from Thomas Sowell,

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Speaker 2: the brilliant conservative economist. He's been around forever. He's in

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Speaker 2: his nineties now, I believe, long time at the Hoover Institute,

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Speaker 2: which is attached to Stamford, one of the most prominent,

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Speaker 2: maybe the most prominent and influential African American conservative ever.

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Speaker 2: Here's his quote. It's very old quote anyway. It is

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Speaker 2: hard to imagine a more stupid or dangerous way of

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Speaker 2: making decisions than by putting those decisions in the hands

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Speaker 2: of people who pay no price for being wrong. Never recall,

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Speaker 2: I did a podcast I think last week dealing with

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Speaker 2: this whole concept of no skin in the game, it

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Speaker 2: means the same thing. I mean, kind of the point

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Speaker 2: that SOOL makes is don't let decisions be made by

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Speaker 2: people who don't suffer at all if they're wrong with

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Speaker 2: that decision. It doesn't mean that if you do have

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Speaker 2: a big stake in things, you might not make a

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Speaker 2: bad decision, but you have a lot more incentive to

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Speaker 2: make the decision correctly if you suffer terribly if you're wrong. Now,

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Speaker 2: I'm going to give you a brief example, which this

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Speaker 2: is not the first topic, but a very brief example

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Speaker 2: of this. The CDC is now, I don't know if

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Speaker 2: acknowledging is the right word, but is reporting data that

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Speaker 2: it's had for some time. They believe that the number

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Speaker 2: is They're saying at least ten ten children who have

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Speaker 2: died because of or in relationship to receiving the COVID

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Speaker 2: nineteen vaccine. Ten. No people will point out that ten

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Speaker 2: is a tiny fraction of the number of children or

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Speaker 2: all sorts of people who got the COVID vaccine, and

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Speaker 2: that's correct, none the less, the number is ten. Yet

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Speaker 2: the official recommendation of many experts was for children to

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Speaker 2: be vaccinated against COVID nineteen. This proved so Well's point.

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Speaker 2: All of the people who recommended the children get the

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Speaker 2: COVID nineteen vaccine, what's happened to them? Nothing? For that matter,

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Speaker 2: all the people who got everything wrong on COVID, all

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Speaker 2: of the lockdown people, all of these dumbasses that serve

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Speaker 2: as public health directors, and all the counties in Wisconsin.

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Speaker 2: Did a single one of these morons ever get fired.

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Speaker 2: Did Tony Evers clear out his idiots who were pushing

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Speaker 2: all of these lockdowns and closing churches, all of which

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Speaker 2: turned out to be a disaster, completely unnecessary, and none

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Speaker 2: of which did anything to slow the spread of COVID,

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Speaker 2: something that I think damn near everybody in America eventually got,

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Speaker 2: which is why it's still around. But we have some

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Speaker 2: immunity to it, because all of us now have immunity,

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Speaker 2: and I runs nonetheless, of all the groups that were vaccinated,

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Speaker 2: the group that simply did not need it were children.

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Speaker 2: Because children not only when they got exposed to COVID,

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Speaker 2: did not get very sick at all, if at all.

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Speaker 2: Childhood deaths of COVID are virtually non existent. There's this

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Speaker 2: few scattered, but in every one of those cases, those

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Speaker 2: children had numerous other health problems that contributed or may

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Speaker 2: have been the primary cause. Yet you had parents, and

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Speaker 2: I talked about this time. I just could not fathom

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Speaker 2: a parent being so stupid as to vaccinate their child

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Speaker 2: against a disease that can't hurt the child. And I'm

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Speaker 2: not an anti vaxer, and I wasn't even an anti

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Speaker 2: COVID vaxer. I'm an old fart. I got the COVID vaccine.

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Speaker 2: I sized it up that, okay, fine, if I got COVID,

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Speaker 2: it might not be a good thing for me, given

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Speaker 2: that people in my age group are the ones that

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Speaker 2: are likely or to die of COVID. I'm not against

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Speaker 2: all the childhood vaccines, although I have a more open

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Speaker 2: mind on it than I did fifteen or twenty years ago.

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Speaker 2: But the things that I see children being vaccinated for

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Speaker 2: are things the children can get real sick from, or

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Speaker 2: some can even die well. Measles, but I remember having

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Speaker 2: I remember having the both of them. Do you remember

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Speaker 2: having the both of them? You do remember it? It was,

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Speaker 2: and I remember it was first. It was I had

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Speaker 2: measles before I had chicken pox. They were similar because

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Speaker 2: they both itched and they both had a rash. But

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Speaker 2: I really say, I mean I get Without regard to

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Speaker 2: your thoughts on vaccines, why people would say, because kids

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Speaker 2: get it and it is painful and it can occasionally

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Speaker 2: cause severe complications. All the other things rebella, whooping cough, polio,

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Speaker 2: et cetera. But this, it would like be like me

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Speaker 2: getting vaccinated against pregnancy. I can't get pregnant yet experts

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Speaker 2: push this. Experts, experts, experts and the parents who followed

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Speaker 2: their guy for the people who actually believe these experts.

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Speaker 2: Now we're going to dive into this tendency for so

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Speaker 2: called experts to always be wrong in just a moment here,

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Speaker 2: and I've got a couple of theories one and a

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Speaker 2: very interesting essay as to why that is. First, when

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Speaker 2: it comes to shipping packaging, industrial supplies, and equipment, many

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Speaker 2: suppliers offer endlessiles of product. You line knows what you

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Speaker 2: can't do with endlessiles of product. Test the quality of

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Speaker 2: each product and sure everything is in stock and ready

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Speaker 2: to ship the same day, and have a team available

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Speaker 2: twenty four to seven to answer your product questions. You

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Speaker 2: line only carries supplies, it equipment they've tested, tried, and

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Speaker 2: often use in their own business experience. The you line

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Speaker 2: difference today visit you line dot com. The listener sent

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Speaker 2: me this. There's a website called Real Clear Politics. They've

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Speaker 2: now taken that brand and they have Real Clear this

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Speaker 2: and Real Clear That. It's a website that leans conservative

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Speaker 2: and they now cover a number of issues beyond politics.

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Speaker 2: And this one is Real Clear Science. But the Real

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Speaker 2: Clear is their brand. And so it's a brief essay

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Speaker 2: from a guy ex a woman named Mitzi Perdue, and

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Speaker 2: she offers a theory as to why experts in almost

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Speaker 2: any field have a tendency to get not the little things,

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Speaker 2: but the big things wrong, the real big things. Before

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Speaker 2: I even get into her piece, I'll just mentioned another word.

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Speaker 2: For instance, you can have an expert in, for example,

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Speaker 2: the weather. And you know we make fun of the

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Speaker 2: weather people, but often the storm that we had this

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Speaker 2: past weekend, they said the winter storm morning would end

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Speaker 2: at six o'clock Sunday morning, and I was up at

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Speaker 2: five thirty. I'm telling you, it stops snowing at six.

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Speaker 2: By six thirty, the skies were clear. I got up

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Speaker 2: at five thirty. At all I saw was that cloudy, misty,

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Speaker 2: snow was all gray and all all of that. I mean,

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Speaker 2: they're usually in the short term, but in the long haul,

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Speaker 2: almost every single thing they said twenty five years ago

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Speaker 2: about what would happened with climate change has turned out

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Speaker 2: to be wrong. Yet we continue to be able well

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Speaker 2: act their experts. They're experts, they're experts, they're experts. The piece,

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Speaker 2: This is a quote from Paul Krugman. Paul Krugman is

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Speaker 2: he's one of the most fun liberals to make fun

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Speaker 2: of because he's a big, pompous ass. He I don't

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Speaker 2: know if he still writes it, because I don't read

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Speaker 2: it as much. The New York Times is where he was.

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Speaker 2: He was there. He's a big economist who had a

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Speaker 2: column with the New York Times, and he's a big

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Speaker 2: time lefty and I'm big no it all and wrong always.

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Speaker 2: You could just have a cottage if you could write

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Speaker 2: a book and all of the things that Krugman has

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Speaker 2: written over the years and how none of them happened.

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Speaker 2: In fact, the exact opposite. This is what he wrote. Obviously,

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Speaker 2: if you did this to me and you went back

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Speaker 2: on all the things that I said over thirty six years,

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Speaker 2: I'm sure you'd be able to pull out a bunch

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Speaker 2: of idiotic things as well. I think on the overall, however,

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Speaker 2: I've spotted zillions of transit have been way ahead of

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Speaker 2: the curve, and the number of times I've been able

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Speaker 2: to say I told you so. Things that I thought

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Speaker 2: were fairly obvious, like nobody's gonna ride the stupid trolley

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Speaker 2: clearly turned out to be right of me. The ex

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Speaker 2: nod no, no, no, no. If he was, how would

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Speaker 2: you know? You're just a big mouth that's got a

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Speaker 2: microphone him. Yeah, you're right, That's all I am. Who

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Speaker 2: was right and who is wrong? Anyway, here's the quote

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Speaker 2: from Krugman again. He said so many stupid things over

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Speaker 2: the years, So she's gonna go out and cherry pick

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Speaker 2: the most, probably the dumbest thing he ever said. The

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Speaker 2: internet will have no more economic impact than the fax machine. Ha,

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Speaker 2: that's he wrote. That's okay, Krugman call on that than others.

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Speaker 2: US intelligence insisted the Afghan government would hold for months

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Speaker 2: after the American withdrawal. It fell in eleven days. Military

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Speaker 2: analysts around the world predicted Kaiev would fall within seventy

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Speaker 2: two hours. In February of twenty twenty two. Of course

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Speaker 2: Kaiev Ukraine. It never did. The media lined up to

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Speaker 2: predict that Harry Potter would flop because kids no longer

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Speaker 2: read Harry Potter sold half a billion copies. Those were

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Speaker 2: not fringe voices. These were the crowned heads of their domains, credentialed, lauded,

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Speaker 2: confident experts. Their expertise was real, but their predictions were wrong.

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Speaker 2: Why are experts so often and so publicly wrong? The

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Speaker 2: answer comes from the ancient Greek poet arche Lochus, whose

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Speaker 2: wisdom still matters today. Quote. The fox knows many things,

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Speaker 2: but the hedgehog knows one big thing. Hedgehogs are deep specialists.

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Speaker 2: They master one domain, seeing the world through a narrow lens.

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Speaker 2: Their training encourages a single track that says, double down,

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Speaker 2: go deep, defend your turf. Foxes are integrators, generalists who

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Speaker 2: pull ideas some different fields and adapt as reality demands.

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Speaker 2: Foxes do not just tolerate ambiguity, they thrive at it. Now,

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Speaker 2: the point that's being made here is that the hedgehog

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Speaker 2: knows one thing and knows it really really no. But

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Speaker 2: the fox, the wisely fox, I don't know a lot

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Speaker 2: about any particular thing. But he knows a lot about

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Speaker 2: everything and is filled with constant doubt and is open minded. Now,

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Speaker 2: the point that's being drawn here is that the hedgehog,

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Speaker 2: the one who knows the one thing so closely, that's

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Speaker 2: the expert. The experts are knowledgeable and the one thing.

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Speaker 2: But say the loudmouth behind the microphone me, I don't

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Speaker 2: know what am I an expert in. Look, maybe two things.

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Speaker 2: I think I'm an expert in how to do talk radio,

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Speaker 2: and I have some expertise and understanding horse racing very

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Speaker 2: very hard. Beyond that nothing, I'm a generalist, but I

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Speaker 2: have an open mind, and I'm able to take a

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Speaker 2: look at how one thing affects everything else and what

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Speaker 2: the ripple effect is. And I have common sense, and

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Speaker 2: I am not somebody who's tied to a decision on

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Speaker 2: the basis of having a stake in it. Back to

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Speaker 2: the piece, Psychologist Philip Tetlock spend twenty years tracking expert predictions.

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Speaker 2: What a great thing to do with this guy? He

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Speaker 2: tracks expert predictions. First of all, that what a great

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Speaker 2: thing to do, because I mean, you're just gonna have

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Speaker 2: a field day. I've been able to write all the

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Speaker 2: stupid things that people claim. I mean that would have

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Speaker 2: to act. If you're gonna be out there in a

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Speaker 2: field and like track things, that'd be a fun thing

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Speaker 2: to do. The downside is you got to wait a

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Speaker 2: long time to pull this stuff up. But if you're

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Speaker 2: doing it a long time, you know, if you've been

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Speaker 2: doing it for thirty years, you just keep up. Okay,

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Speaker 2: here's what this moron set in nineteen ninety five, and

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Speaker 2: so yeah, sorry. Philip Tetlock predictions about world events. In

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Speaker 2: his two decade study, Tetlog catalogued more than twenty eight

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Speaker 2: thousand expert predictions and found that experts were slightly less

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Speaker 2: accurate than a random coin toss. So what he did

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Speaker 2: after twenty eight thousand decisions and then calculate what the

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Speaker 2: experts said and so on, and he found, you know,

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Speaker 2: coin toss, you're gonna be right half the time. He

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Speaker 2: found that the experts were correct slightly less us than

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Speaker 2: half the time. As it decided, And I'll get back

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Speaker 2: to the piece. One of the things that some actual

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Speaker 2: experts in a certain field do is go against the

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Speaker 2: other experts, which becomes kind of problematic because now you

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Speaker 2: have a bunch of other experts, just the agriss agree

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Speaker 2: of the first experts. But here's an example of that

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Speaker 2: in stock market. In investing, one of the things that

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Speaker 2: so called contrary investors do is they take a look.

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Speaker 2: When they say, see on the stock market, sentiment is

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Speaker 2: overwhelmingly bullish, they say, that's the time to sell. That

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Speaker 2: the crowd is completely wrong. And there is some logic

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Speaker 2: behind this. Let's imagine all these people are overwhelmingly bullish. Well,

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Speaker 2: that means they're fully invested. When you're fully invested, you

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Speaker 2: don't have any more to invest. It's all in, so

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Speaker 2: there's no more new money to come in. There's only

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Speaker 2: one place for stocks to go, and that's down. Likewise,

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Speaker 2: this is hard to do. I've been correct in it

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Speaker 2: a few times in my life. When everybody is completely

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Speaker 2: negative and sour on something, that's the time to dive

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Speaker 2: in and be optimistic. I wrote a column and it

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Speaker 2: was either OA at our Own nine. It was after

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Speaker 2: the housing crash, when the credit markets fell apart and

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Speaker 2: so on, and I said that this is the greatest

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Speaker 2: opportunity by housing in my lifetime. I wasn't smart enough

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Speaker 2: to do any didn't do anything about it. I mean,

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Speaker 2: I talked forever and ever and ever about you know,

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Speaker 2: Paul and I were going on these cruises and we're

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Speaker 2: staying in Florida, and we were staying in a hotel

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Speaker 2: that it was on the North Strip in Miami Beach,

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Speaker 2: and there were all these abandoned new high rises that

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Speaker 2: they started up in stopped construction on, just just sitting

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Speaker 2: there in which they gave up because the funding dried up. Well,

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Speaker 2: a bunch of investors, mostly foreigners in South America, came up,

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Speaker 2: brought up the whole buildings or brought up three four,

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Speaker 2: five hundred of those condo units, and they're all billionaires

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Speaker 2: because of it. I was right in the overall, but

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Speaker 2: wasn't smart enough to do anything about it. The other

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Speaker 2: thing was, I remember my call when the stock market

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Speaker 2: bottomed out in March of nine. This was two months

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Speaker 2: into Obama's presidency. It was again during my cruise, and

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Speaker 2: I told the Cruiz group that I think that the

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Speaker 2: stock market has bottomed out, And it was simply based

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Speaker 2: on you know, we had, remember the credit market seized

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Speaker 2: up in seven eight. The recession occurred as a result

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Speaker 2: of that. We had twenty three months in a row

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Speaker 2: of negative economic activity. And finally there was a positive.

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Speaker 2: It was simply, there's only so bad that certain things

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Speaker 2: can get. And I remember saying this, I think we

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Speaker 2: bottomed out, And in fact that was the bottom of

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Speaker 2: the stock market and the beginning of the rally that

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Speaker 2: occurred during Obama. But a lot of people, particularly those

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Speaker 2: people were stock work. Is like going a rally during Obama.

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Speaker 2: There were slaves to this. No again, I could probably

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Speaker 2: come up with any number of things in which I

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Speaker 2: followed the lead of what experts were. But it's an

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Speaker 2: indication that breaking ranks from expertise and a consensus of

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Speaker 2: experts will usually have your right rather than wrong. Anyway,

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Speaker 2: to the piece, now, the writer is quoting this psychologist Telllock,

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Speaker 2: who pointed out that he went back and studied over

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Speaker 2: decades twenty eight thousand expert predictions and found that the

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Speaker 2: experts were slightly less than half were wrong slightly more

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Speaker 2: than half the time. Quote. The question he posed was.

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Speaker 2: The questions he posed were simple ones with yes or

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Speaker 2: no answers. For example, would the Soviet Union collapse in

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Speaker 2: five years? So that would have been a question probably

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Speaker 2: asked in the late eighties, would would a major war

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Speaker 2: break out again? And again the hedgehogs. The deep experts

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Speaker 2: failed dramatically. The generalists, however, did substantially better than chance.

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Speaker 2: Their secret was breadth of perspective and adaptability, the classic

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Speaker 2: traits of foxes. Experts failed because of tunnel vision, like

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Speaker 2: photographers using a telephoto lens. Hedgehogs so only a narrow

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Speaker 2: slice of reality and can go back to COVID. The

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Speaker 2: people who focused only on the one thing we have

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Speaker 2: to stop the spread of the virus and didn't consider

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Speaker 2: anything else. How actual humans behave the devastating impacts and

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Speaker 2: society of locking things down, the horrifying impact on education,

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Speaker 2: of keeping children out of school, the panic and depression

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Speaker 2: that's set in when you scared people to death, Not

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Speaker 2: to mention your failure to question the whole premise in

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Speaker 2: the first place, which is why should we even try

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Speaker 2: to stop the spread of the virus. If the virus

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Speaker 2: is out there, the virus if like every other virus

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Speaker 2: known demand The ones that are easily spread eventually effect

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Speaker 2: virtually everybody. The ones that are harder to spread, that

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Speaker 2: can only be spread saying blood to blood, contact or sex,

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Speaker 2: and so on, they affect everybody that engages in those

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Speaker 2: kinds of things, but they don't affect the general population.

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Speaker 2: But again they didn't question any of that. They just

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Speaker 2: stuck to their thing. This virus is dangerous and therefore

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Speaker 2: we have to stop it from spreading. And couldn't see

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Speaker 2: outside that. And then of course the problem with the

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Speaker 2: people who just knee jerk follow this, And I can

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Speaker 2: tell you who the people are that I likeliest to

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Speaker 2: knee jerk follow what the consensus of experts say. People

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Speaker 2: that have no self confidence in their decision making. And

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Speaker 2: this would almost entirely be liberals. No, why you've got

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Speaker 2: to think this one through. Why would liberals have no

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Speaker 2: self confidence in their decision making? The answer is because

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Speaker 2: they've never faced up to it. But deep down, back

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Speaker 2: in there, they know that they've always been wrong. They've

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Speaker 2: always been wrong. So therefore they gravitate because they think

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Speaker 2: that they're smart. They gravitate toward what experts say and

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Speaker 2: just glom onto that, as opposed to do like me,

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Speaker 2: who aren't smart enough to listen to the experts. Back

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Speaker 2: to the piece. The deeper someone goes into a field,

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Speaker 2: the more their framework, their one big thing, becomes their

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Speaker 2: only lens. Let me give you a horse racing analogy.

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Speaker 2: Do you want a horse racing analogy? There are zillions

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Speaker 2: of factors that can go into how well a horse

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Speaker 2: will do over its career or even who's going to

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Speaker 2: do well in a specific races. I'm telling you zillions.

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Speaker 2: But there are some people, the biggest single group of

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Speaker 2: you know, you talk about one issue people. One issue

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Speaker 2: people on horse racing are people that are slaves to

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Speaker 2: speed figures. And indeed, of all the things you look

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Speaker 2: at in a race of speed figure is probably the

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Speaker 2: most important thing. Obviously, faster horses are likely to win

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Speaker 2: the slower horses, but there's a lot of other factors

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Speaker 2: beyond simply how fast they read in the past that

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Speaker 2: apply here and there are simple I won't look at

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Speaker 2: anything else anything well, but there's seven other speedy horses

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Speaker 2: in the room. Nothing. Of course, it becomes complicated when

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Speaker 2: you've got a way fifty nine different factors and then

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Speaker 2: decide which one is where I add more. But they

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Speaker 2: just they'll focus on the one thing. And this is

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Speaker 2: the point that's being referenced here. Somebody that's a deep

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Speaker 2: expert in one particular thing focuses only on that. Let

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Speaker 2: me give you another example. This is an old one.

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Speaker 2: It's been going on forever and ever and ever. Let's

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Speaker 2: imagine you got a heart problem. You go to a cardiologist.

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Speaker 2: I'm telling you, the cardiologist is going to tell you

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Speaker 2: to put you on meds. Then you go to the

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Speaker 2: heart surgeon. The heart surgeon's gonna say you need surgery.

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Speaker 2: The cardiologist doesn't do surgery. They prescribe meds. Heart surgeons

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Speaker 2: do surgery. So of course they both are gonna have

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Speaker 2: the bias to recommend that you do the thing that

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Speaker 2: they're into. Practors don't for scripe medication other than maybe

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Speaker 2: one or two things. I don't think any I'm not

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Speaker 2: sure though, but I mean I'm to say so. Therefore,

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Speaker 2: they have a bias toward leaning against it. They may

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Speaker 2: be right in one's person specific thing, but because that's

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Speaker 2: the thing that they know, they don't see the larger

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Speaker 2: overall view of Okay, this one might actually need it,

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Speaker 2: whereas this one over here they just need to loosen

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Speaker 2: their muscles up. Whatever the thing. Anyway, back to the piece,

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Speaker 2: Some say, only half jokingly, that science advances one funeral

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Speaker 2: at a time. It is a good line. They say

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Speaker 2: this because once someone holds a particular view that view

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Speaker 2: can become part of their identity. Oh I point this

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Speaker 2: out all the time. Why are liberals liberal? Because they're liberal?

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Speaker 2: They're terrified of abandoning their liberalness because they become part

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Speaker 2: of their identity. They don't want to become like one

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Speaker 2: of us. They would rather be wrong and hang around

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Speaker 2: in their stupid lefty crowd because that's such an important

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Speaker 2: part of their identification. I think you certainly see this

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Speaker 2: with the very dangerous hacks and the schools in child

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Speaker 2: psychology that are encouraging boys to chop off their cladinguses

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Speaker 2: and girls that chop off their boobs. Once they've decided

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Speaker 2: that this is a good thing to do, it doesn't

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Speaker 2: matter how much evidence we have that we're destroying people's lives.

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Speaker 2: They're going to keep doing it. Plus, of course, the

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Speaker 2: rationalization coming in this is how they're making their money.

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Speaker 2: Every child that they chop up is dollar signs for them.

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Speaker 2: But that's no excuse, for example, for the boards of

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Speaker 2: directors of say children's hospital, to go ahead and allow

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Speaker 2: these people to do it. Of Course, the guy that

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Speaker 2: chops off the little girl's boom is going to be

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Speaker 2: somebody in favor of that. That's where they get their buddy,

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Speaker 2: and maybe they sincerely believe it, but it doesn't mean

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Speaker 2: they're right. Will experts say this? So what again? They're

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Speaker 2: looking at the short trip the girl thinks that she's

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Speaker 2: a boy. The longer term view would be, maybe she's

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Speaker 2: gonna change her mind in a year or two or

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Speaker 2: three or four or five or six or how are

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Speaker 2: you gonna pump all these hormones into a body that

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Speaker 2: was naturally producing female hormones? Isn't this gonna create one

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Speaker 2: big giant mix And the next thing you know, you've

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Speaker 2: got somebody as screwed up as say Morgan Geyser, somebody

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Speaker 2: who I think is a just a walking example of

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Speaker 2: what happens when quacks were called. Experts dive into somebody

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Speaker 2: with problems and make them all worse back of the bees.

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Speaker 2: When entire disciplines fall victim to this kind of thinking,

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Speaker 2: you get the worst effects of hedgehog thinking. You get

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Speaker 2: a whole field in which brilliant people are confidently yet

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Speaker 2: s caacularly wrong. Journalists foxes in a hedgehog world. Now,

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Speaker 2: of course, the media is supposed to be the people

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Speaker 2: that would question all of this. They're supposed to be generalists.

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Speaker 2: But most people know who go into the media are

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Speaker 2: just the opposite. They accept what the experts supposedly have

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Speaker 2: to say, rather than constantly challenging them. They are vicious

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Speaker 2: towards skeptics when they're the ones that are supposed to

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Speaker 2: be the skeptics. For example, when Tom Barrett's running around

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Speaker 2: saying I'm gonna rip up a bunch of streets and

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Speaker 2: put train tracks down, the few people are supposed to

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Speaker 2: challenge that, to come up with all the ideas why

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Speaker 2: that's rowing and make them instead no, no, no, no, less,

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Speaker 2: it's a good thing what the writer says about this.

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Speaker 2: So where do we find foxes? One place is supposed

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Speaker 2: to be journalism. The best journalists are forced to be

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Speaker 2: foxes every day. They deal with conflicting accounts, unexpected outcomes,

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Speaker 2: and situations where things they were sure of turn out

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Speaker 2: to be turnout not to be. So the piece goes on,

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Speaker 2: let me move to a topic that I think fits

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Speaker 2: this overall general theme at least a little bit. So

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Speaker 2: Colum in the Wall Street General Today and Barton swam

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Speaker 2: and it deals with it starts with the disaster of

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Speaker 2: Somali immigration to the United States. I mean the whole

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Speaker 2: term Somali is becoming a punchline on the High Seas.

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Speaker 2: When you think of Somalis, what do you think of pirates?

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Speaker 2: When you think of Somalis in America, what do you

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Speaker 2: think of about scammers? It's obviously unfair to the Somalis

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Speaker 2: and the high Seeds that aren't pirates, and it's unfair

428
00:26:47,960 --> 00:26:54,560
Speaker 2: to the Somalis who aren't scammers. Nonetheless, Burton Swim is

429
00:26:54,560 --> 00:26:57,960
Speaker 2: an interesting piece here, and it eventually goes beyond the

430
00:26:57,960 --> 00:27:02,280
Speaker 2: Somalis and just points out why mass immigration of Muslim

431
00:27:02,960 --> 00:27:07,000
Speaker 2: Muslim populations simply isn't going to work in the Western world,

432
00:27:07,560 --> 00:27:10,040
Speaker 2: and it's because the Western world is not premised on

433
00:27:10,080 --> 00:27:15,080
Speaker 2: the way Muslims think. It's it's premised on Judeo Christian ideology,

434
00:27:15,119 --> 00:27:19,560
Speaker 2: which is essentially secular. Whereas Muslims can't think in anything

435
00:27:19,600 --> 00:27:23,480
Speaker 2: other than their religious terms. They believe that only they

436
00:27:24,480 --> 00:27:28,320
Speaker 2: can make good decisions and only their thinking is tolerable

437
00:27:28,880 --> 00:27:33,159
Speaker 2: everyone else should die, which is the exact opposite of

438
00:27:33,160 --> 00:27:35,800
Speaker 2: how a Judeo Christian society that believes in openness and

439
00:27:35,840 --> 00:27:38,480
Speaker 2: freedom would think. Here's his piece. He writes, if you

440
00:27:38,600 --> 00:27:43,400
Speaker 2: wanted to invent a parable of modern liberalism's failure. You'd

441
00:27:43,440 --> 00:27:46,040
Speaker 2: have to work hard to top the story of Somalis,

442
00:27:46,520 --> 00:27:51,359
Speaker 2: immigrants and US citizens alike builking Minnesota's social welfare system.

443
00:27:51,840 --> 00:27:54,280
Speaker 2: So enormous and brazen was the theft that The New

444
00:27:54,359 --> 00:27:58,720
Speaker 2: York Times treated it with a competent and mostly unflinching article,

445
00:27:59,119 --> 00:28:02,000
Speaker 2: which is the only reason anybody outside the small world

446
00:28:02,040 --> 00:28:04,800
Speaker 2: of conservative punditry now knows about it. We read this

447
00:28:04,880 --> 00:28:10,520
Speaker 2: piece on the podcast yesterday, and as I mentioned, now,

448
00:28:10,560 --> 00:28:12,439
Speaker 2: the entire media is aware that this has been going on.

449
00:28:12,480 --> 00:28:14,480
Speaker 2: But as I said, doing that, this scandal was going

450
00:28:14,520 --> 00:28:17,159
Speaker 2: on forever and ever and ever at effort, everybody from

451
00:28:17,240 --> 00:28:19,280
Speaker 2: the governor of Minnesota to the media and everybody else

452
00:28:19,440 --> 00:28:21,960
Speaker 2: looked the other way because they didn't want to accept

453
00:28:22,920 --> 00:28:25,720
Speaker 2: the tens of thousands of Somali's who are in Minnesota

454
00:28:25,800 --> 00:28:29,119
Speaker 2: were out and now crooks, I don't want to accept it.

455
00:28:29,119 --> 00:28:32,080
Speaker 2: So therefore we're just not gonna look at it. Back

456
00:28:32,119 --> 00:28:35,440
Speaker 2: to the piece, the time it took for the Minnesota

457
00:28:35,520 --> 00:28:38,640
Speaker 2: story to make its way into national headlines is itself

458
00:28:38,680 --> 00:28:42,480
Speaker 2: part of the problem. Federal prosecutors have already convicted fifty

459
00:28:42,560 --> 00:28:45,200
Speaker 2: nine of the fraudsters which tells you how long the

460
00:28:45,240 --> 00:28:48,560
Speaker 2: thing has been happening. A few local media outlets, notably

461
00:28:48,600 --> 00:28:52,440
Speaker 2: KAI Minneapolis, Saint Paul's NBC affiliate, have covered the story

462
00:28:52,480 --> 00:28:56,160
Speaker 2: since the first indictments. Scott Johnson, the Minnesota based attorney

463
00:28:56,200 --> 00:28:58,960
Speaker 2: on power Line blog co founder, has reported on some

464
00:28:59,080 --> 00:29:02,600
Speaker 2: Malia related fraud since at least twenty eighteen. In mid November,

465
00:29:02,640 --> 00:29:06,480
Speaker 2: the journalist Arman Rosen penda superb seven thousand word essay

466
00:29:06,880 --> 00:29:11,160
Speaker 2: about the fiasco for the magazine County Highway. The Somali

467
00:29:11,200 --> 00:29:14,360
Speaker 2: fraud story is in some respects akin to the so

468
00:29:14,640 --> 00:29:18,280
Speaker 2: called grooming scandal in Britain, in which gangs of mostly

469
00:29:18,400 --> 00:29:22,720
Speaker 2: Pakistani men sexually abused young girls, even as the country's

470
00:29:22,760 --> 00:29:26,480
Speaker 2: government and news media looked the other way, terrified by

471
00:29:26,560 --> 00:29:31,320
Speaker 2: accusations of racism or Islamophobia. You may be familiar with

472
00:29:31,360 --> 00:29:35,680
Speaker 2: the grooming scandal in England. It's not happening, it's not happening.

473
00:29:35,720 --> 00:29:37,600
Speaker 2: It's not happening, and the reasons people did not want

474
00:29:37,600 --> 00:29:39,680
Speaker 2: to accept that they were happening. They did not want

475
00:29:39,760 --> 00:29:44,959
Speaker 2: to acknowledge that huge numbers of Pakistani immigrants believed it

476
00:29:45,000 --> 00:29:50,200
Speaker 2: was perfectly fine to abuse young girls sexually that's what

477
00:29:50,280 --> 00:29:52,800
Speaker 2: they think, but people didn't want to admit that. That's

478
00:29:52,840 --> 00:29:54,320
Speaker 2: the thing. So the fact that it was going on,

479
00:29:54,320 --> 00:29:56,080
Speaker 2: they're looking the other way, pretended it's not happening, and

480
00:29:56,080 --> 00:29:58,440
Speaker 2: it's not happened. So it's going on really right in

481
00:29:58,480 --> 00:30:01,520
Speaker 2: front of everybody, but they're just trying so hard not

482
00:30:01,680 --> 00:30:08,400
Speaker 2: to see it. Back to the peace in the Twin Cities,

483
00:30:08,520 --> 00:30:13,080
Speaker 2: state authorities couldn't rouse themselves to stop the theft hundreds

484
00:30:13,120 --> 00:30:16,480
Speaker 2: of millions of dollars siphoned from medicaid, housing and other

485
00:30:16,520 --> 00:30:19,520
Speaker 2: welfare programs. It is to the great credit of the

486
00:30:19,600 --> 00:30:23,240
Speaker 2: US Justice Department, under administrations of both parties, that it

487
00:30:23,320 --> 00:30:26,920
Speaker 2: didn't allow the perpetrator's race, religion, or country of origin

488
00:30:27,000 --> 00:30:30,640
Speaker 2: to hinder the prosecution of crime. Both scandals in the

489
00:30:30,760 --> 00:30:33,600
Speaker 2: UK and Minnesota raise a question most of us would

490
00:30:33,680 --> 00:30:38,920
Speaker 2: rather not consider, that of large scale immigration from predominantly

491
00:30:39,000 --> 00:30:44,800
Speaker 2: Muslim countries. It's true that other ethnic immigrant groups, Italians

492
00:30:44,800 --> 00:30:48,440
Speaker 2: in the early twentieth century, most famously imported forms of

493
00:30:48,480 --> 00:30:52,160
Speaker 2: criminality from the home country. It's also true that Minnesota's

494
00:30:52,200 --> 00:30:56,720
Speaker 2: roughly eighty thousand strong Somali community contains many industrious people

495
00:30:56,800 --> 00:31:00,880
Speaker 2: and good citizens, but an unbiased observer could be forgiven

496
00:31:01,000 --> 00:31:07,800
Speaker 2: for thinking Minnesota's Somali population is not capable of assimilation. Now,

497
00:31:07,840 --> 00:31:12,360
Speaker 2: let me interject this is part of the problem. Immigrants

498
00:31:12,360 --> 00:31:14,800
Speaker 2: who come to the United States because they want to assimilate.

499
00:31:15,960 --> 00:31:17,600
Speaker 2: They come into Ellis Island and the look at the

500
00:31:17,840 --> 00:31:22,520
Speaker 2: famous opening of Godfather Part two when young Vido curleone,

501
00:31:23,800 --> 00:31:26,280
Speaker 2: after you know, his father's dead, his mother's been killed,

502
00:31:26,400 --> 00:31:29,200
Speaker 2: to kill his brother, escapes, gets on the ship the

503
00:31:29,240 --> 00:31:31,040
Speaker 2: age of nine comes in and there he's looking at

504
00:31:31,040 --> 00:31:33,080
Speaker 2: the Statue of Liberty and the whole thing with all

505
00:31:33,120 --> 00:31:35,160
Speaker 2: these other immigrants that or other. The look of this

506
00:31:35,200 --> 00:31:38,120
Speaker 2: in America, it's the land of opportunity. They want to

507
00:31:38,160 --> 00:31:40,320
Speaker 2: be part of this. When you have people who come

508
00:31:40,320 --> 00:31:42,440
Speaker 2: into these others, not just the United States, but France,

509
00:31:43,000 --> 00:31:46,640
Speaker 2: et cetera, who hate those countries and hate their lifestyle

510
00:31:46,880 --> 00:31:49,360
Speaker 2: and hate the fact that they're moving to predominantly Jenaeo

511
00:31:49,480 --> 00:31:53,240
Speaker 2: Christian societies, you're never going to get assimilation from them.

512
00:31:53,240 --> 00:31:56,200
Speaker 2: And if they're not going to assimilate, they will never

513
00:31:56,280 --> 00:31:59,240
Speaker 2: be anything other than a terrible threat to the way

514
00:31:59,240 --> 00:32:03,040
Speaker 2: of life and the kind that they're going to. As

515
00:32:03,160 --> 00:32:07,479
Speaker 2: jinguistic as it sounds there's no value added in bringing

516
00:32:07,520 --> 00:32:11,719
Speaker 2: in somebody who hates the place that they're coming to.

517
00:32:14,480 --> 00:32:16,640
Speaker 2: And it's a huge portion of the problem that we've

518
00:32:16,640 --> 00:32:19,200
Speaker 2: had with illegal immigration to the United States. Those who

519
00:32:19,200 --> 00:32:20,920
Speaker 2: have come here and wanted to be here and want

520
00:32:20,920 --> 00:32:23,640
Speaker 2: to be Americans, they're really not much of a problem.

521
00:32:24,440 --> 00:32:28,880
Speaker 2: It's the ones that are coming here because they realize

522
00:32:30,120 --> 00:32:32,400
Speaker 2: that America is so stupid that we give away all

523
00:32:32,440 --> 00:32:34,880
Speaker 2: sorts of things for free and we don't punish criminals, etc.

524
00:32:36,040 --> 00:32:42,400
Speaker 2: That are the problem. Back to the piece from Rosen's

525
00:32:42,480 --> 00:32:46,600
Speaker 2: essay quote, bad actors within the community would approach potential

526
00:32:46,640 --> 00:32:49,920
Speaker 2: co conspirators without any fear of betrayal. The point he's

527
00:32:49,920 --> 00:32:53,200
Speaker 2: making his es in the Somali community. When Somalia would

528
00:32:53,200 --> 00:32:54,920
Speaker 2: go up to another Somalia and ask him, say, do

529
00:32:54,960 --> 00:32:56,440
Speaker 2: you want to get in on the scam that we have?

530
00:32:56,960 --> 00:32:59,640
Speaker 2: They never had a concern that they'd be ratted out

531
00:32:59,640 --> 00:33:03,840
Speaker 2: by this Amali that even if they'd say no, they

532
00:33:03,920 --> 00:33:07,000
Speaker 2: knew that the Somali would rather be loyal to the

533
00:33:07,040 --> 00:33:11,560
Speaker 2: fellow Somali crook than actually telling American authority because they

534
00:33:11,640 --> 00:33:14,400
Speaker 2: knew that these all of the Somalis couldn't give a

535
00:33:14,440 --> 00:33:18,440
Speaker 2: crap about right and wrong, or would the American authorities

536
00:33:18,480 --> 00:33:21,000
Speaker 2: want that even if they disapprove what the fellow Somali

537
00:33:21,040 --> 00:33:24,080
Speaker 2: was going to do, they would never betray them because

538
00:33:24,080 --> 00:33:26,280
Speaker 2: their Somali identity was far more important to them than

539
00:33:26,280 --> 00:33:29,800
Speaker 2: any kind of you know, American value that would be

540
00:33:29,880 --> 00:33:33,000
Speaker 2: in continuing. Even the people who said no to phenomenal

541
00:33:33,000 --> 00:33:35,360
Speaker 2: offers of tens of thousands of dollars in free taxpayer

542
00:33:35,400 --> 00:33:39,600
Speaker 2: money didn't inform the authorities that a major community wide

543
00:33:39,680 --> 00:33:44,320
Speaker 2: fraud against the public was in progress, potentially criminal oddities

544
00:33:44,680 --> 00:33:48,960
Speaker 2: when almost totally unreported to anyone in government. The FBI

545
00:33:49,160 --> 00:33:52,520
Speaker 2: learned about quote Feeding Our Future, a nonprofit that was

546
00:33:52,560 --> 00:33:55,360
Speaker 2: one of the main vehicles of fraud, from a whistleblower

547
00:33:55,400 --> 00:33:58,239
Speaker 2: in the Department of Education, and not from any of

548
00:33:58,280 --> 00:34:03,320
Speaker 2: the scam's ground level witnesses or participants. Ponders, You could

549
00:34:03,520 --> 00:34:05,360
Speaker 2: look to some of these scams that have gone on

550
00:34:05,440 --> 00:34:09,800
Speaker 2: in the social service community in Milwaukee, almost no whistleblowers

551
00:34:09,840 --> 00:34:13,640
Speaker 2: from within any of them. And then the folly of US,

552
00:34:13,640 --> 00:34:17,560
Speaker 2: I mean SEC is apparently finally going under. How could

553
00:34:17,560 --> 00:34:21,200
Speaker 2: that piece of crap organization have taken decades to finally

554
00:34:22,400 --> 00:34:28,719
Speaker 2: get rid of it's sort of the same thing. Back

555
00:34:28,760 --> 00:34:32,320
Speaker 2: to the piece here, which is dealing with this grave

556
00:34:32,400 --> 00:34:35,400
Speaker 2: difficulty in mass immigration of Muslims who do not share

557
00:34:35,400 --> 00:34:38,080
Speaker 2: the kinds of values that exist in countries that are

558
00:34:38,080 --> 00:34:44,680
Speaker 2: premise not on Muslim values but Judeo Christian values, ponders

559
00:34:44,680 --> 00:34:48,520
Speaker 2: some observations made recently by the British historian Tom Holland.

560
00:34:48,680 --> 00:34:52,800
Speaker 2: His book Dominion contends that Christianity has left an imprint

561
00:34:52,880 --> 00:34:57,799
Speaker 2: on the West so deep as to be ineradicable and

562
00:34:58,080 --> 00:35:04,160
Speaker 2: imperceptible even atheists and nations once Christianized thinking Christian terms

563
00:35:04,200 --> 00:35:08,520
Speaker 2: without knowing it. Only a Christian nation, I suspect, Holland

564
00:35:08,520 --> 00:35:12,360
Speaker 2: would say, would invent a social welfare system as lavish

565
00:35:12,400 --> 00:35:16,840
Speaker 2: and easily exploitable as Minnesota's. Now here's the point that

566
00:35:16,880 --> 00:35:21,280
Speaker 2: he's making in back in Somalia, they never have systems

567
00:35:21,320 --> 00:35:23,759
Speaker 2: like this. Why because the Somalians though, if you have

568
00:35:23,840 --> 00:35:27,279
Speaker 2: a system so easily to scam, are Somalians will scam it.

569
00:35:31,360 --> 00:35:33,840
Speaker 2: But only in the good nature, trusting West when you

570
00:35:33,880 --> 00:35:37,440
Speaker 2: set something like this up, making us obviously open season

571
00:35:37,480 --> 00:35:39,880
Speaker 2: for people who lack any type of value at all.

572
00:35:40,160 --> 00:35:45,360
Speaker 2: Back to the peace Essentially quote this is Holland. Essentially,

573
00:35:45,400 --> 00:35:48,640
Speaker 2: what Christianity has that Islam does not is a concept

574
00:35:48,680 --> 00:35:52,080
Speaker 2: of the secular. Let me interject, what does that mean

575
00:35:52,320 --> 00:35:54,960
Speaker 2: the secular. It's a set of values that we have

576
00:35:55,000 --> 00:35:59,160
Speaker 2: that aren't particularly religious, but that everybody should follow without

577
00:35:59,160 --> 00:36:01,879
Speaker 2: regard to what religion you have. See, most Muslims don't

578
00:36:01,880 --> 00:36:05,360
Speaker 2: think that way. They think of Muslim law and they

579
00:36:05,440 --> 00:36:09,080
Speaker 2: think that's what the law should be. That they can't

580
00:36:09,120 --> 00:36:11,400
Speaker 2: disconnect the two of them. This is where jihad and

581
00:36:11,520 --> 00:36:15,120
Speaker 2: indefada and all of these things come from. Back to

582
00:36:15,160 --> 00:36:18,799
Speaker 2: the pace, Holland remarked in a September podcast interview. From

583
00:36:18,800 --> 00:36:21,839
Speaker 2: its beginning, he points out, Christianity has acknowledged that some

584
00:36:21,880 --> 00:36:25,920
Speaker 2: parts of human society will function outside the demands of revelation.

585
00:36:26,480 --> 00:36:29,440
Speaker 2: Think of Jesus as imperative to render to Caesar what

586
00:36:29,560 --> 00:36:33,120
Speaker 2: is Caesar's and to God what is God's. Islam classically

587
00:36:33,160 --> 00:36:38,520
Speaker 2: acknowledges no such sphere. I think Islam is uniquely indigestible

588
00:36:38,560 --> 00:36:43,360
Speaker 2: for our secular mindset, he says, Minnesota Somali population plainly

589
00:36:43,400 --> 00:36:47,680
Speaker 2: does not think of itself as digestible, But larger scale,

590
00:36:47,880 --> 00:36:51,200
Speaker 2: large scale Muslim immigration is a far bigger problem for

591
00:36:51,360 --> 00:36:55,200
Speaker 2: Europe than for America, and in a curious way, Holland's

592
00:36:55,200 --> 00:36:58,800
Speaker 2: reflections shed light on the immigration problem of the US

593
00:36:58,920 --> 00:37:02,360
Speaker 2: does have, that of illegal border crosses from Latin America.

594
00:37:02,840 --> 00:37:06,399
Speaker 2: On Tuesday, President Trump, asked about the Minnesota fraud prosecutions,

595
00:37:06,400 --> 00:37:10,080
Speaker 2: expressed his disgust, quote, these people that work, these people

596
00:37:10,160 --> 00:37:14,239
Speaker 2: are these These aren't people that work. Let's go, come on,

597
00:37:14,400 --> 00:37:16,920
Speaker 2: let's make this place great. These are people that do

598
00:37:17,040 --> 00:37:19,360
Speaker 2: nothing but complain. Now, again, for people who think that

599
00:37:19,360 --> 00:37:22,040
Speaker 2: he's generalized, who's the most famous Somali American in this country?

600
00:37:22,040 --> 00:37:24,920
Speaker 2: I'd say, ilat Omar? Is this that a description of her?

601
00:37:27,560 --> 00:37:29,880
Speaker 2: Mary's or brothers say she can stay in the country legally,

602
00:37:30,680 --> 00:37:32,560
Speaker 2: gets in here and does nothing but rip on the

603
00:37:32,640 --> 00:37:36,480
Speaker 2: United States of America. She cops, knocks down a government salary,

604
00:37:36,520 --> 00:37:45,960
Speaker 2: and supports government assistance for everything, continuing. They come from

605
00:37:46,040 --> 00:37:49,680
Speaker 2: hell and they complain and do nothing but bitch. By

606
00:37:49,680 --> 00:37:51,480
Speaker 2: the way, is there anybody but Trump who would have

607
00:37:51,480 --> 00:37:54,000
Speaker 2: been the guts to say that this is why they

608
00:37:54,000 --> 00:37:56,520
Speaker 2: precisely hate of it, you know, And again, maybe it's

609
00:37:56,560 --> 00:37:59,040
Speaker 2: an over generalization. I'll admit I don't know a whole

610
00:37:59,040 --> 00:38:02,640
Speaker 2: lot of Somalia America. Plkins, it's Minnesota that they managed

611
00:38:02,680 --> 00:38:05,520
Speaker 2: to land in. But I mean, you just think of

612
00:38:05,600 --> 00:38:07,759
Speaker 2: all of the scams at so many different levels in

613
00:38:07,800 --> 00:38:10,000
Speaker 2: the Somalikan I mean, you got to admit there's a

614
00:38:10,040 --> 00:38:12,160
Speaker 2: lot of Somali bang for the buck, given how few

615
00:38:12,160 --> 00:38:14,560
Speaker 2: of them there are in the United States. I mean

616
00:38:14,600 --> 00:38:17,440
Speaker 2: the high Seas, that's the entire world of pirate comes flow.

617
00:38:17,680 --> 00:38:19,440
Speaker 2: No matter what part of the world is, you almost

618
00:38:19,440 --> 00:38:26,640
Speaker 2: expect that it's going to be a Somali. The President

619
00:38:26,800 --> 00:38:31,240
Speaker 2: singled out for particular score in Minneapolis's representative Ilhan Omar.

620
00:38:31,960 --> 00:38:35,960
Speaker 2: She is the poster child for this, isn't she put aside?

621
00:38:35,960 --> 00:38:38,880
Speaker 2: If you can Trump's failure to distinguish between criminals and

622
00:38:38,960 --> 00:38:42,920
Speaker 2: law abiding Americans of Somali ancestry, the President isn't wrong

623
00:38:43,000 --> 00:38:46,200
Speaker 2: to send something deeply amiss in a community of Americans

624
00:38:46,200 --> 00:38:49,359
Speaker 2: so contemptuous of the country that took them in. And

625
00:38:49,400 --> 00:38:54,040
Speaker 2: that's it. Instead of thanking us, they can't stand us.

626
00:38:54,040 --> 00:38:56,040
Speaker 2: They think that we're a bunch of dopes and suckers

627
00:38:56,040 --> 00:39:02,080
Speaker 2: to be fleeced dry. The column continues, Perhaps Trump can

628
00:39:02,080 --> 00:39:05,040
Speaker 2: turn his attention to those illegal aliens some nations that

629
00:39:05,080 --> 00:39:09,160
Speaker 2: for all their dysfunction, are not indelibly Christian. Immigrants from

630
00:39:09,200 --> 00:39:12,399
Speaker 2: Latin America work. Indeed, they have a higher labor force

631
00:39:12,480 --> 00:39:15,480
Speaker 2: participation rate than whites. Let me interject I do agree

632
00:39:15,480 --> 00:39:19,960
Speaker 2: with that part, as they've been pointing out for years.

633
00:39:20,840 --> 00:39:24,080
Speaker 2: It's not all of them. But when that line comes out,

634
00:39:24,120 --> 00:39:26,680
Speaker 2: there are some jobs Americans won't do. It's just true.

635
00:39:27,239 --> 00:39:29,640
Speaker 2: And anybody who denies this does not see the number

636
00:39:29,640 --> 00:39:32,000
Speaker 2: of Americans that have been sitting on their asses forever

637
00:39:32,080 --> 00:39:35,440
Speaker 2: and ever and ever. You need somebody to peel potatoes

638
00:39:35,480 --> 00:39:38,440
Speaker 2: in a restaurant, an illegal immigrant is going to do it.

639
00:39:38,480 --> 00:39:41,279
Speaker 2: But a bunch of lazy ass Americans living off of

640
00:39:41,280 --> 00:39:44,239
Speaker 2: fourteen different welfare programs and smoking their pott and all

641
00:39:44,280 --> 00:39:48,640
Speaker 2: this stuff, they're not going to do it. The problem

642
00:39:48,680 --> 00:39:50,759
Speaker 2: with it, of course, is that they entered illegally, which

643
00:39:50,800 --> 00:39:53,560
Speaker 2: is why I have always argued throw them out and

644
00:39:53,600 --> 00:39:55,040
Speaker 2: then if they want to try to come bang it

645
00:39:55,239 --> 00:39:57,000
Speaker 2: back in after a period of times to the front

646
00:39:57,000 --> 00:39:58,920
Speaker 2: door and legally allow them to do it. But in

647
00:39:58,960 --> 00:40:00,840
Speaker 2: the process, by throwing it everybody out, you're going to

648
00:40:00,880 --> 00:40:02,920
Speaker 2: get all the crooks that have come in in the process,

649
00:40:03,000 --> 00:40:05,160
Speaker 2: get them out as well. And they won't be approved

650
00:40:05,200 --> 00:40:08,279
Speaker 2: to come back into the front door because of the crooks. Now,

651
00:40:08,320 --> 00:40:11,040
Speaker 2: the point that Swam is making is maybe Prumb's Nights

652
00:40:11,080 --> 00:40:13,640
Speaker 2: needs to start drawing his attention away from some of

653
00:40:13,640 --> 00:40:16,759
Speaker 2: the Latin American illegal immigrants to all of these Somalis

654
00:40:16,800 --> 00:40:18,960
Speaker 2: and many others that are in here that just can't

655
00:40:19,000 --> 00:40:22,640
Speaker 2: stand America despise and lothus. Look at the number of

656
00:40:22,760 --> 00:40:25,799
Speaker 2: terror cells that we have run around here and how

657
00:40:25,840 --> 00:40:29,839
Speaker 2: they've managed to radicalize a bunch of stupid Americans. Look

658
00:40:29,840 --> 00:40:32,000
Speaker 2: at the number of people that have are radicalized. Where

659
00:40:32,000 --> 00:40:36,080
Speaker 2: do you think this is coming from? And I'll get

660
00:40:36,080 --> 00:40:37,640
Speaker 2: back to the piece and finish it off in a moment.

661
00:40:37,680 --> 00:40:39,880
Speaker 2: I think a special word needs to be directed towards

662
00:40:39,880 --> 00:40:42,520
Speaker 2: some people on the American right that are sucking up

663
00:40:42,520 --> 00:40:45,400
Speaker 2: to this ideology because of their own hatred of Judaism.

664
00:40:45,840 --> 00:40:48,080
Speaker 2: I don't know if Tucker Carlson falls into that category,

665
00:40:48,080 --> 00:40:53,040
Speaker 2: but I think the candae OANs is it's very very

666
00:40:53,040 --> 00:40:58,760
Speaker 2: hard to see an upside in a great concentration. And again,

667
00:40:58,800 --> 00:41:01,200
Speaker 2: maybe this would be different if when the Somalis came here,

668
00:41:01,480 --> 00:41:03,640
Speaker 2: they weren't all plopped into one place. If you put

669
00:41:03,640 --> 00:41:04,960
Speaker 2: a few here and a few there and a few

670
00:41:04,960 --> 00:41:07,399
Speaker 2: in the other thing. You wouldn't have this feeding thing

671
00:41:07,440 --> 00:41:12,040
Speaker 2: where they all got together to essentially scam everyone. Also,

672
00:41:12,840 --> 00:41:15,520
Speaker 2: if the Somalis had not been dropped in Minnesota, let's

673
00:41:15,560 --> 00:41:22,560
Speaker 2: imagine they were dropped in Oklahoma, very conservative state, maybe

674
00:41:22,560 --> 00:41:25,000
Speaker 2: there wouldn't have been such a tendency to look the

675
00:41:25,040 --> 00:41:27,640
Speaker 2: other way like you had with a buffoon like Tim Waltz,

676
00:41:27,840 --> 00:41:29,759
Speaker 2: who knew all about this but didn't want to draw

677
00:41:29,800 --> 00:41:31,440
Speaker 2: any attention to it because he didn't want to say

678
00:41:31,480 --> 00:41:34,160
Speaker 2: anything negative towards any Somalies, in part because they're all

679
00:41:34,160 --> 00:41:41,080
Speaker 2: Democrats and they're all voting for finishing off the piece.

680
00:41:43,360 --> 00:41:46,759
Speaker 2: Responsible people agree the criminals in the country illegally ought

681
00:41:46,760 --> 00:41:49,600
Speaker 2: to be removed, But those work in construction and agriculture jobs.

682
00:41:49,640 --> 00:41:51,920
Speaker 2: They're saying, in so many words, let's go, come on,

683
00:41:52,040 --> 00:41:55,560
Speaker 2: let's make this place great, and they don't bitch. That

684
00:41:55,680 --> 00:41:59,600
Speaker 2: column is in today's Wall Street Journal. Burton sway, all right,

685
00:42:00,160 --> 00:42:07,240
Speaker 2: attention to another story. Open Ai. That's the company whose

686
00:42:07,360 --> 00:42:13,799
Speaker 2: prime product is chat GPT. There are lots of indications

687
00:42:13,880 --> 00:42:18,360
Speaker 2: right now that open ai is losing its lead in

688
00:42:18,480 --> 00:42:23,200
Speaker 2: artificial intelligence. One of the things that I've noted on

689
00:42:23,239 --> 00:42:25,840
Speaker 2: almost every tech development is that the company that is

690
00:42:25,920 --> 00:42:30,600
Speaker 2: first almost never makes it. It's usually the ones that

691
00:42:30,640 --> 00:42:32,400
Speaker 2: come in second, third, or fourth and see how the

692
00:42:32,480 --> 00:42:34,080
Speaker 2: first one did it and figured it out, I can

693
00:42:34,160 --> 00:42:39,080
Speaker 2: do it better than them. The leaders leader of open ai, Altman,

694
00:42:39,200 --> 00:42:42,440
Speaker 2: came out and called a so called quote red this week,

695
00:42:43,360 --> 00:42:47,200
Speaker 2: essentially saying we've got to improve immediately, implying that we

696
00:42:47,280 --> 00:42:51,759
Speaker 2: are at risk of failing. Now. Obviously, the valuation of

697
00:42:52,120 --> 00:42:56,160
Speaker 2: open ai is in the many, many billions of dollars.

698
00:42:57,719 --> 00:43:01,399
Speaker 2: Let me quote here from a peace on substack by

699
00:43:01,440 --> 00:43:06,000
Speaker 2: somebody named Gary Marcus. Open ai lacks both profits and

700
00:43:06,400 --> 00:43:08,359
Speaker 2: a moat. What's a moat? You know what a mode

701
00:43:08,400 --> 00:43:11,600
Speaker 2: is in the business world. You should know this from

702
00:43:11,600 --> 00:43:15,160
Speaker 2: doing all these stupid financial shows that you do. A moat, well,

703
00:43:15,200 --> 00:43:17,120
Speaker 2: you know what a moat real is in real life.

704
00:43:18,200 --> 00:43:20,000
Speaker 2: It's like like a body water that they would put

705
00:43:20,000 --> 00:43:22,040
Speaker 2: around a castle. So somebody tried to attack the castle,

706
00:43:22,080 --> 00:43:23,399
Speaker 2: they got to get through the water to get it.

707
00:43:23,800 --> 00:43:26,520
Speaker 2: A mode is a barrier to competition. An example of

708
00:43:26,560 --> 00:43:30,319
Speaker 2: this would be the credit card business. Very hard to

709
00:43:30,360 --> 00:43:33,319
Speaker 2: compete against Visa and MasterCard and American Express. I mean

710
00:43:33,400 --> 00:43:37,719
Speaker 2: discover has a tiny little niche. What's instead happened is

711
00:43:37,800 --> 00:43:40,400
Speaker 2: alternate forms of payment have come up, like PayPal, but

712
00:43:40,520 --> 00:43:43,080
Speaker 2: they rely on the credit card industry, and most people

713
00:43:43,080 --> 00:43:45,120
Speaker 2: who use PayPal a tying it to their bank account

714
00:43:45,120 --> 00:43:49,240
Speaker 2: of the credit card, that would be a mote. Amazon

715
00:43:49,320 --> 00:43:52,840
Speaker 2: is a mote. It's extremely I mean, how many delivery

716
00:43:52,840 --> 00:43:55,759
Speaker 2: trucks and warehouses does Amazon have? Imagine if we tried

717
00:43:55,760 --> 00:43:59,040
Speaker 2: to compete against It's a mode. The point that's being

718
00:43:59,040 --> 00:44:01,880
Speaker 2: made here is opening eye. Then in a mote, somebody

719
00:44:01,920 --> 00:44:04,959
Speaker 2: else can come in and develop an AI system that's

720
00:44:05,000 --> 00:44:06,680
Speaker 2: better than this one, And why wouldn't you just go

721
00:44:06,719 --> 00:44:09,839
Speaker 2: over and use that? With no mote there? Open AI

722
00:44:10,080 --> 00:44:12,799
Speaker 2: likes both profits and the mode. The systems that they

723
00:44:12,840 --> 00:44:17,200
Speaker 2: build are hugely expensive to operate because they require massive

724
00:44:17,200 --> 00:44:21,920
Speaker 2: amounts of compute for training. Google seems finally to be

725
00:44:22,000 --> 00:44:26,279
Speaker 2: catching up with their Gemini model. Large language models such

726
00:44:26,280 --> 00:44:30,440
Speaker 2: as chat GPT may quickly become commodities. See what they're saying,

727
00:44:30,680 --> 00:44:33,759
Speaker 2: commodity in other words, generic. So they spend all this

728
00:44:33,840 --> 00:44:36,360
Speaker 2: money to create chat GPT, But the next thing you know,

729
00:44:36,360 --> 00:44:39,319
Speaker 2: there's fifty seven different chat GPTs. So chat GPT just

730
00:44:39,360 --> 00:44:45,560
Speaker 2: becomes worthless. Artificial intelligence itself isn't proprietary. It's using machines

731
00:44:45,600 --> 00:44:48,160
Speaker 2: to figure out and fastly compute things. Well, chat GPT

732
00:44:48,360 --> 00:44:50,040
Speaker 2: was the one that got there first, but what's to

733
00:44:50,080 --> 00:44:53,160
Speaker 2: stop Google from developing their own version, Gemini, which they've

734
00:44:53,200 --> 00:44:58,000
Speaker 2: done and some people believe it's already past chat GPTs up. Continuing,

735
00:45:01,280 --> 00:45:04,319
Speaker 2: we can expect price wars and profits may continue to

736
00:45:04,320 --> 00:45:07,600
Speaker 2: be elusive or modest. Mess So now the argument is

737
00:45:08,560 --> 00:45:11,760
Speaker 2: as nineteen other tech companies come in with their AI things,

738
00:45:12,040 --> 00:45:14,279
Speaker 2: price slashing is going to occur. So people who think

739
00:45:14,280 --> 00:45:16,640
Speaker 2: that there's going to be this mass fortune, what is

740
00:45:16,760 --> 00:45:19,560
Speaker 2: certain is all the infrastructure is going to be needed.

741
00:45:19,600 --> 00:45:21,160
Speaker 2: All the data set is if we needed, because you

742
00:45:21,160 --> 00:45:22,520
Speaker 2: need to have all of this in order to do

743
00:45:22,600 --> 00:45:24,919
Speaker 2: the AI and so on. But to think that only

744
00:45:24,960 --> 00:45:26,759
Speaker 2: one or two precise companies are going to be in,

745
00:45:26,840 --> 00:45:28,560
Speaker 2: it's going to be just the opposite. There's going to

746
00:45:28,560 --> 00:45:31,520
Speaker 2: be massive demand to get in on this, and with

747
00:45:31,680 --> 00:45:34,400
Speaker 2: numerous providers, the prices are going to crash and the

748
00:45:34,400 --> 00:45:36,040
Speaker 2: ability for any of them they make a lot of

749
00:45:36,080 --> 00:45:40,160
Speaker 2: money would be limited. Continuing, the basic thesis then was

750
00:45:40,200 --> 00:45:43,880
Speaker 2: that although open AI was the darling of Ai. Things

751
00:45:43,920 --> 00:45:47,319
Speaker 2: could change. Things took longer to unravel than I thought

752
00:45:47,360 --> 00:45:50,759
Speaker 2: they would, But open AI's unraveling has begun, as The

753
00:45:50,760 --> 00:45:53,239
Speaker 2: Wall Street Journal reported, the company has just declared a

754
00:45:53,320 --> 00:45:56,640
Speaker 2: code read. They are terrified that Google's new model has

755
00:45:56,680 --> 00:46:00,520
Speaker 2: eclipsed them. By any reasonable measure. Open Ai is clearly

756
00:46:00,560 --> 00:46:04,480
Speaker 2: squandered the sizeable lead they once had. Their war chest

757
00:46:04,560 --> 00:46:08,400
Speaker 2: is impressive, but their burn rate is terrifying. My guess

758
00:46:08,480 --> 00:46:10,960
Speaker 2: is that they have cumulativery raised on the order of

759
00:46:10,960 --> 00:46:14,359
Speaker 2: one hundred billion dollars since they launched, perhaps more than

760
00:46:14,400 --> 00:46:17,640
Speaker 2: any other company in history, but they have already spent

761
00:46:17,719 --> 00:46:19,520
Speaker 2: most of it, and like they don't have much more

762
00:46:19,520 --> 00:46:27,080
Speaker 2: of a year's runway left now. Another piece superior in

763
00:46:27,080 --> 00:46:29,880
Speaker 2: a post on X by someone who uses the handle

764
00:46:30,040 --> 00:46:35,759
Speaker 2: m hole, in which he points out that artificial intelligence

765
00:46:35,800 --> 00:46:38,160
Speaker 2: has limits, and again going back to the point that

766
00:46:38,160 --> 00:46:40,799
Speaker 2: we had earlier about experts. Experts can't see this because

767
00:46:40,840 --> 00:46:43,960
Speaker 2: what they know is artificial intelligence, and they can see

768
00:46:43,960 --> 00:46:47,799
Speaker 2: beyond artificial intelligence. I'll summarize this point before I even

769
00:46:47,840 --> 00:46:52,000
Speaker 2: read it. Artificial intelligence only knows what has been input

770
00:46:52,080 --> 00:46:56,440
Speaker 2: into artificial intelligence, and as artificial intelligence now scans every

771
00:46:56,480 --> 00:46:59,240
Speaker 2: piece of knowledge in order to grab things. It still

772
00:46:59,280 --> 00:47:02,160
Speaker 2: has algorithm as to what it accepts and what it doesn't.

773
00:47:03,160 --> 00:47:05,560
Speaker 2: Let's imagine AI, for example, was going to try to

774
00:47:05,560 --> 00:47:08,760
Speaker 2: figure out the packer bear game on Sunday. It still

775
00:47:08,840 --> 00:47:12,520
Speaker 2: is making decisions on what's important and what is not. Well,

776
00:47:12,520 --> 00:47:14,760
Speaker 2: what if those decisions that it is making is based

777
00:47:14,800 --> 00:47:23,120
Speaker 2: on flawed premises. Here's what he writes. Artificial intelligence doesn't

778
00:47:23,160 --> 00:47:26,879
Speaker 2: know the truth and it never will. It can't. All

779
00:47:26,880 --> 00:47:30,960
Speaker 2: it can know are patterns stitch together from what it digests,

780
00:47:31,640 --> 00:47:35,480
Speaker 2: and like any organism, it becomes what it consumes. Your

781
00:47:35,480 --> 00:47:37,279
Speaker 2: mother ever yelled at you, you are what you eat?

782
00:47:38,680 --> 00:47:41,239
Speaker 2: She did, Mine didn't. But I know somebody I went

783
00:47:41,280 --> 00:47:42,640
Speaker 2: on with a one. I met up with a woman

784
00:47:42,680 --> 00:47:44,440
Speaker 2: whose mother said that all the time, you are what

785
00:47:44,480 --> 00:47:45,920
Speaker 2: you eat. You are what you eat? Are we eat?

786
00:47:46,120 --> 00:47:47,719
Speaker 2: I just kept hearing it to get it again. Well,

787
00:47:47,719 --> 00:47:51,839
Speaker 2: that's what AI is. They are what they eat. I

788
00:47:51,880 --> 00:47:54,400
Speaker 2: know this all sounds too well from a person. I

789
00:47:54,440 --> 00:47:57,640
Speaker 2: know this all too well from personal experience. A bad

790
00:47:57,680 --> 00:47:59,840
Speaker 2: diet is bad results. But at the risk of some

791
00:48:00,000 --> 00:48:03,640
Speaker 2: owning hypocritical, I have to say AI is eating garbage,

792
00:48:03,680 --> 00:48:07,640
Speaker 2: tons of it. The people building today's AI systems choose

793
00:48:07,760 --> 00:48:11,280
Speaker 2: what these models are trained on and how much credibility

794
00:48:11,360 --> 00:48:15,840
Speaker 2: and each source gets. They calibrate the entire information diet,

795
00:48:15,880 --> 00:48:19,360
Speaker 2: and we see the consequences in the outputs. Take Elon Musk.

796
00:48:19,640 --> 00:48:25,000
Speaker 2: His model GROC is trained primarily on x data. Meanwhile,

797
00:48:25,040 --> 00:48:28,840
Speaker 2: models like chat, GPT and Google's Gemini gorge themselves on

798
00:48:28,880 --> 00:48:32,680
Speaker 2: a steady stream of Wikipedia pages and Reddit threads. The

799
00:48:32,719 --> 00:48:36,160
Speaker 2: information has been laundered, filtered from a questionable source into

800
00:48:36,200 --> 00:48:41,879
Speaker 2: a polished, authoritative, seeming format. It would be funny if

801
00:48:41,920 --> 00:48:46,520
Speaker 2: it weren't so dangerous. And no fund this piece. It's

802
00:48:46,520 --> 00:48:48,680
Speaker 2: from the co founder most people know, Almond. There's a

803
00:48:48,680 --> 00:48:56,840
Speaker 2: co founder of open ai, and he's kind of saying

804
00:48:56,880 --> 00:49:01,520
Speaker 2: the same thing. He says, the first battle of open

805
00:49:01,600 --> 00:49:05,000
Speaker 2: ai has essentially been solved. How do you grab all

806
00:49:05,040 --> 00:49:07,400
Speaker 2: the information that's out there in the digital world and

807
00:49:07,400 --> 00:49:10,960
Speaker 2: compile it? That they've done, But he's saying, the one

808
00:49:10,960 --> 00:49:13,640
Speaker 2: thing that hasn't done is it hasn't figured out all

809
00:49:13,680 --> 00:49:16,279
Speaker 2: the things that aren't so far in the digital world.

810
00:49:16,360 --> 00:49:18,959
Speaker 2: In other words, what about all the stuff we don't

811
00:49:19,080 --> 00:49:23,680
Speaker 2: yet know? So Opening Eye is basically going to be

812
00:49:23,680 --> 00:49:25,680
Speaker 2: looking at the entire world, which way in the rear

813
00:49:25,719 --> 00:49:29,440
Speaker 2: view mirror. And this is what the co founder of

814
00:49:29,480 --> 00:49:32,319
Speaker 2: OPENINGI is saying that the big challenge now is to

815
00:49:32,400 --> 00:49:36,120
Speaker 2: scale new information rather than keep regurgitating out the old.

816
00:49:38,080 --> 00:49:42,880
Speaker 2: Open AI co founder Ilia said Skiver believes the tides

817
00:49:42,920 --> 00:49:45,239
Speaker 2: of the AI industry will have to shift back to

818
00:49:45,360 --> 00:49:49,600
Speaker 2: the research phase. On an episode of Dwarkish Podcasts published

819
00:49:49,600 --> 00:49:53,400
Speaker 2: on Tuesday, Suitskimer, who is widely seen as a pioneer

820
00:49:53,400 --> 00:49:57,640
Speaker 2: in modern artificial intelligence, challenge the conventional wisdom that scaling

821
00:49:57,719 --> 00:50:00,440
Speaker 2: could be the key road to major and key roadmap

822
00:50:00,440 --> 00:50:04,080
Speaker 2: to AIS progress. Scaling just means getting all the stuff

823
00:50:04,080 --> 00:50:06,200
Speaker 2: that's out there and doing it faster and being able

824
00:50:06,200 --> 00:50:08,520
Speaker 2: to turn out scale scale scale, get everything, get everything,

825
00:50:08,520 --> 00:50:11,160
Speaker 2: get everything, get everything. And he's pointing out that the

826
00:50:11,320 --> 00:50:15,040
Speaker 2: getting everything includes a lot of bad and mostly all

827
00:50:15,160 --> 00:50:21,319
Speaker 2: conventional wisdom. Continuing, tech companies support hundreds of billions of

828
00:50:21,360 --> 00:50:26,560
Speaker 2: dollars into acquiring GPUs and building data centers to essentially

829
00:50:26,600 --> 00:50:30,960
Speaker 2: make their AI tools, whether that whether that's LMS or

830
00:50:31,000 --> 00:50:35,000
Speaker 2: image generation models better. The wisdom goes that the more

831
00:50:35,120 --> 00:50:37,480
Speaker 2: compute in other words, the more computing power that you have,

832
00:50:38,040 --> 00:50:41,160
Speaker 2: the more compute you have or the more training data

833
00:50:41,200 --> 00:50:44,239
Speaker 2: that you have, the smurter your AI tool will be.

834
00:50:45,120 --> 00:50:48,200
Speaker 2: Sutzkimer said, Now, I would say that if that worked,

835
00:50:48,480 --> 00:50:50,919
Speaker 2: all these public health experts and all these counties around

836
00:50:50,920 --> 00:50:53,000
Speaker 2: the United States, all they all, any of them did

837
00:50:53,040 --> 00:50:55,840
Speaker 2: was simply follow what the CDC's recommendation. Heaven, all of

838
00:50:55,880 --> 00:50:57,480
Speaker 2: them would make us all smoter. In fact, that made

839
00:50:57,560 --> 00:50:59,680
Speaker 2: us all dumber because none of them were willing to

840
00:50:59,680 --> 00:51:02,719
Speaker 2: simply they disagree with what the CDC was saying, say no,

841
00:51:02,840 --> 00:51:05,440
Speaker 2: we're not going to follow this. I think I know better.

842
00:51:05,680 --> 00:51:07,600
Speaker 2: Not a single one of them did this because they

843
00:51:07,640 --> 00:51:09,719
Speaker 2: all knew deep down that they're stupid people, and they

844
00:51:09,719 --> 00:51:12,280
Speaker 2: wouldn't have gone into such a crap field as public health.

845
00:51:13,440 --> 00:51:15,880
Speaker 2: Nobody wanted to be the one saying screw it, the

846
00:51:15,920 --> 00:51:19,120
Speaker 2: mass don't mean anything, keep your churches and schools open.

847
00:51:20,040 --> 00:51:22,239
Speaker 2: Dot A. One wanted to do that. They couldn't break

848
00:51:22,239 --> 00:51:25,320
Speaker 2: from that. And isn't that what opened? What artificial intelligence

849
00:51:25,400 --> 00:51:27,960
Speaker 2: is It's going to grab onto whatever the consensus is,

850
00:51:28,000 --> 00:51:32,480
Speaker 2: and rather than think outside the box, it's going to

851
00:51:32,560 --> 00:51:34,759
Speaker 2: puke out inside the box, and it's going to be

852
00:51:34,800 --> 00:51:37,480
Speaker 2: making decisions that can't be questioned because the decisions themselves

853
00:51:37,520 --> 00:51:39,319
Speaker 2: will be made by AI. Now, as they said, this

854
00:51:39,400 --> 00:51:41,320
Speaker 2: is the founderable PLANAI is saying, this is part of

855
00:51:41,360 --> 00:51:45,200
Speaker 2: the problem. Sutzgaber said in the interview that for an

856
00:51:45,400 --> 00:51:48,680
Speaker 2: interview that for around the past half decade, this recipe

857
00:51:48,680 --> 00:51:53,160
Speaker 2: has produced impactful results. It's also efficient for companies because

858
00:51:53,280 --> 00:51:56,759
Speaker 2: the method provides a simple and very low risk way

859
00:51:56,800 --> 00:51:59,680
Speaker 2: of investing resources and pouring money into the research that

860
00:51:59,719 --> 00:52:05,040
Speaker 2: could lead nowhere. However, Setskeeper, who now runs Safe Superintelligence Incorporated,

861
00:52:05,360 --> 00:52:09,480
Speaker 2: believes that method is running out of runway. Data is finite.

862
00:52:09,640 --> 00:52:11,040
Speaker 2: In other words, all the data that we have in

863
00:52:11,080 --> 00:52:14,759
Speaker 2: the world, there's a limit. See what happens when all

864
00:52:14,800 --> 00:52:18,839
Speaker 2: the AI learns every data that exists. It can't get

865
00:52:18,840 --> 00:52:23,200
Speaker 2: any smarter because it has everything in there, including obviously

866
00:52:23,239 --> 00:52:28,600
Speaker 2: a whole lot of crap, and organizations already have access

867
00:52:28,640 --> 00:52:32,080
Speaker 2: to a massive amount of computy. Said, is the belief really, Oh,

868
00:52:32,120 --> 00:52:34,520
Speaker 2: it's so big, but if you had one hundred times more,

869
00:52:34,600 --> 00:52:37,840
Speaker 2: everything would be so different. It would be different, for sure.

870
00:52:37,920 --> 00:52:39,960
Speaker 2: But is the belief that if you just had one

871
00:52:40,080 --> 00:52:43,760
Speaker 2: hundred times the scale everything would be transformed. I don't

872
00:52:43,880 --> 00:52:47,640
Speaker 2: think that's true. No, it goes on and again. What

873
00:52:47,760 --> 00:52:49,680
Speaker 2: all of these things are doing is they're raising things

874
00:52:49,680 --> 00:52:52,640
Speaker 2: that challenge that can sensus by thinking outside the box.

875
00:52:53,040 --> 00:52:55,680
Speaker 2: Every single person who's made the world better or came

876
00:52:55,760 --> 00:52:58,319
Speaker 2: up with a new innovation is somebody who sized up

877
00:52:58,360 --> 00:53:01,160
Speaker 2: what was there now and said, I think better, I

878
00:53:01,280 --> 00:53:06,880
Speaker 2: have this new way. In other words, the exact opposite

879
00:53:06,880 --> 00:53:10,920
Speaker 2: of experts who are simply going on and pontificating and

880
00:53:11,000 --> 00:53:19,120
Speaker 2: puking back everything that they already took in. I find

881
00:53:19,120 --> 00:53:24,160
Speaker 2: all this quite fascinating. This might be beyond your whole love?

882
00:53:24,520 --> 00:53:26,319
Speaker 2: Am I doing this at too high of a level

883
00:53:26,360 --> 00:53:28,960
Speaker 2: for like the average guy to swallow in? Or I

884
00:53:29,120 --> 00:53:31,640
Speaker 2: like you able to swallow this in? You believe you,

885
00:53:31,640 --> 00:53:35,399
Speaker 2: you believe that you can soak this up. I think

886
00:53:35,400 --> 00:53:37,040
Speaker 2: the people who listen to my show they love this

887
00:53:37,120 --> 00:53:39,960
Speaker 2: kind of stuff. I just think that the people who

888
00:53:39,960 --> 00:53:42,040
Speaker 2: like listen to my podcast they're open to this kind

889
00:53:42,040 --> 00:53:45,880
Speaker 2: of thinking rather than the average idiot and NPR seeing

890
00:53:45,920 --> 00:53:49,160
Speaker 2: somebody whisper wrote something that was sort of consensus for

891
00:53:49,200 --> 00:53:51,640
Speaker 2: twenty seven years ago and doesn't apply at all today.

892
00:53:52,719 --> 00:53:59,359
Speaker 2: Right way, I gotta tell this story I was. I

893
00:53:59,400 --> 00:54:01,680
Speaker 2: told this story about going to the Milwaukee premiere on

894
00:54:01,719 --> 00:54:05,920
Speaker 2: Tuesday night of Song Sung Blue, the movie about lightning

895
00:54:05,920 --> 00:54:09,640
Speaker 2: at thunder, et cetera, et cetera, et cetera. And it

896
00:54:09,680 --> 00:54:12,799
Speaker 2: was an invitation only thing, and everybody showed up at

897
00:54:12,800 --> 00:54:14,719
Speaker 2: the same time. They said the doors had opened five thirty.

898
00:54:14,719 --> 00:54:16,759
Speaker 2: The doors opened at five forty five. So the line

899
00:54:16,760 --> 00:54:19,120
Speaker 2: took like the line went from the door of the

900
00:54:19,160 --> 00:54:21,200
Speaker 2: Oriental to north happened. And when I got in it

901
00:54:21,239 --> 00:54:23,400
Speaker 2: and it was fridgide, cooled out and it moved. It

902
00:54:23,400 --> 00:54:25,120
Speaker 2: took about thirty minutes, which isn't the end of the

903
00:54:25,120 --> 00:54:26,960
Speaker 2: world to get it. And I said, what I got right?

904
00:54:27,040 --> 00:54:30,319
Speaker 2: Do you remember me telling the story? You're not? You say,

905
00:54:30,320 --> 00:54:36,520
Speaker 2: of course, Well then what happened? Yeah, you'll remember, okay,

906
00:54:36,680 --> 00:54:39,000
Speaker 2: I said, right when I ended. I mean, maybe it

907
00:54:39,080 --> 00:54:41,480
Speaker 2: happened twenty nine different times. But I only got to

908
00:54:41,520 --> 00:54:44,160
Speaker 2: the front of the line once. And some guy got out.

909
00:54:44,200 --> 00:54:45,879
Speaker 2: He must have been dropped off at a Douber or something,

910
00:54:45,880 --> 00:54:47,560
Speaker 2: because he just seemed to like a pure out of

911
00:54:47,560 --> 00:54:51,080
Speaker 2: nowhere and cut in front of everybody and announced VIP

912
00:54:51,480 --> 00:54:54,760
Speaker 2: and tried to walk in and I split a minute,

913
00:54:55,080 --> 00:54:57,200
Speaker 2: and then everybody said, wait a minute. And then you

914
00:54:57,200 --> 00:55:00,120
Speaker 2: had probably told that the door there's everybody's got every

915
00:55:00,000 --> 00:55:02,399
Speaker 2: the invitation is VIP, and then pointed to the back

916
00:55:02,440 --> 00:55:05,680
Speaker 2: of the line, you know, somewhere up by Shorewood. I

917
00:55:05,760 --> 00:55:10,560
Speaker 2: told that story. This is just unbelievable coincident, I said,

918
00:55:10,600 --> 00:55:15,520
Speaker 2: I didn't. I don't know who the guy was. I'm

919
00:55:15,560 --> 00:55:17,919
Speaker 2: not going to name him, because I do think it's

920
00:55:18,040 --> 00:55:22,160
Speaker 2: possible it was an innocent, stupid mistake that he maybe

921
00:55:22,160 --> 00:55:26,000
Speaker 2: he thought that there were VIPs rather than what No,

922
00:55:26,000 --> 00:55:27,840
Speaker 2: he didn't throw a tantrum at all, he just you know,

923
00:55:27,920 --> 00:55:31,120
Speaker 2: it was I mean, I think any kind of judgment

924
00:55:31,360 --> 00:55:34,280
Speaker 2: realized that, first of all, unless you're like the governor,

925
00:55:34,280 --> 00:55:35,799
Speaker 2: who the hell are you that you think that you're

926
00:55:35,840 --> 00:55:40,880
Speaker 2: a VIP to sneak? I mean, I think it's possible

927
00:55:41,040 --> 00:55:44,200
Speaker 2: it was well intentioned sort of arrogant stupidity. So I'm

928
00:55:44,239 --> 00:55:46,640
Speaker 2: not going to name him anyway, but I didn't know

929
00:55:46,640 --> 00:55:49,600
Speaker 2: who he was. Would you believe that in the past day,

930
00:55:50,200 --> 00:55:53,600
Speaker 2: there's a news story about someone and there's this picture.

931
00:55:53,680 --> 00:55:55,279
Speaker 2: I'm not going to tell you the news, it's just

932
00:55:55,280 --> 00:55:57,759
Speaker 2: a story that's in the news. There's a picture of

933
00:55:57,800 --> 00:56:00,719
Speaker 2: the guy. That's this guy, the guy who went to

934
00:56:00,760 --> 00:56:03,640
Speaker 2: the game with I showed him resent that's him the

935
00:56:03,840 --> 00:56:08,960
Speaker 2: same day. He probably isn't a listener to my podcast.

936
00:56:09,040 --> 00:56:12,560
Speaker 2: But there's no point in out again because, as I say,

937
00:56:14,160 --> 00:56:18,000
Speaker 2: it's possible it was just an innocent I mean, it

938
00:56:18,040 --> 00:56:20,440
Speaker 2: wasn't an innocent mistake, but it could be a mistake

939
00:56:20,680 --> 00:56:25,359
Speaker 2: that it's not as ill intended as He didn't say,

940
00:56:25,400 --> 00:56:26,880
Speaker 2: don't you know who I am? He just said, is

941
00:56:26,920 --> 00:56:30,080
Speaker 2: this the VIP entrance? But I mean the line, there's

942
00:56:30,120 --> 00:56:34,680
Speaker 2: this whole line. Well, yeah, it wasn't like he fought

943
00:56:34,680 --> 00:56:36,480
Speaker 2: it and tried to jam as well. He wasn't gonna

944
00:56:36,520 --> 00:56:38,879
Speaker 2: work because hey, the rest of the crowd freezing out there,

945
00:56:38,880 --> 00:56:40,680
Speaker 2: like me, we're not going to tolerate this guy getting

946
00:56:40,680 --> 00:56:42,960
Speaker 2: in there. Plus we all had invitations that said VIP

947
00:56:43,160 --> 00:56:45,200
Speaker 2: in the whole think all right, this is the Mark

948
00:56:45,239 --> 00:56:52,080
Speaker 2: Belling podcast. This is the Mark Belling podcast. All right. Now,

949
00:56:52,120 --> 00:56:55,520
Speaker 2: I know cynical people. You think you think I'm cynical.

950
00:56:57,480 --> 00:57:00,200
Speaker 2: I am somewhat cynical, but I mean I know people

951
00:57:00,239 --> 00:57:05,480
Speaker 2: that are way beyond me, to the point that nothing's

952
00:57:05,480 --> 00:57:08,319
Speaker 2: on the up and up. I know somebody who thinks

953
00:57:08,360 --> 00:57:12,440
Speaker 2: Jiannis is faking his injury. Paul said he's heard that.

954
00:57:12,480 --> 00:57:17,080
Speaker 2: I mean, there's nothing in his character that would indicate

955
00:57:17,200 --> 00:57:20,080
Speaker 2: that he would do it. Furthermore, if you're going to

956
00:57:20,120 --> 00:57:22,520
Speaker 2: fake an injury, you fake the injury in practice rather

957
00:57:22,560 --> 00:57:24,240
Speaker 2: than in plain view. But I mean, I do get

958
00:57:24,240 --> 00:57:26,840
Speaker 2: the whole thing, and it's certainly true from the perspective

959
00:57:26,880 --> 00:57:30,080
Speaker 2: of both him and the Bucks. There's no upside for

960
00:57:30,160 --> 00:57:33,800
Speaker 2: the Bucks in Giannis getting hurt. If Yannis is to

961
00:57:33,800 --> 00:57:36,560
Speaker 2: be traded, you want to trade him and trade him healthy.

962
00:57:36,600 --> 00:57:38,920
Speaker 2: So I mean, the hall you will get back from

963
00:57:39,000 --> 00:57:43,840
Speaker 2: him is off the charts. I think only maybe you'd

964
00:57:43,840 --> 00:57:45,920
Speaker 2: have to be a rookie, say Victor Wimenyam and a

965
00:57:45,960 --> 00:57:48,960
Speaker 2: couple of others could draw as much as Giannis could draw.

966
00:57:49,040 --> 00:57:52,000
Speaker 2: The Bucks have the highest score and efficiency of any

967
00:57:52,040 --> 00:57:53,640
Speaker 2: team in the league when he's in the lineup, and

968
00:57:53,680 --> 00:57:56,640
Speaker 2: the lowest when he's not. I've never seen that the

969
00:57:56,680 --> 00:57:59,800
Speaker 2: Bucks score more points permitted when Yannis is on the

970
00:57:59,840 --> 00:58:02,680
Speaker 2: court than any team in the league, and fewer points

971
00:58:02,680 --> 00:58:04,920
Speaker 2: per minute when he's not of the court than any

972
00:58:04,960 --> 00:58:06,600
Speaker 2: team in the league. No, they won last night without him.

973
00:58:06,600 --> 00:58:10,000
Speaker 2: But anyway, whether or not he's going to be traded

974
00:58:10,080 --> 00:58:12,120
Speaker 2: or not. I get why Doc Rivers is so frustrated

975
00:58:12,240 --> 00:58:14,760
Speaker 2: the whole thing because there's been rumors about Yanni seving Milwaukee,

976
00:58:14,760 --> 00:58:17,120
Speaker 2: you know, for six years, and he hasn't left. But

977
00:58:17,240 --> 00:58:20,320
Speaker 2: I don't think he's speaking the injury. But anyway, that's

978
00:58:20,360 --> 00:58:21,800
Speaker 2: so I told this guy, I'm gonna go on the

979
00:58:21,800 --> 00:58:23,440
Speaker 2: air and say, I know a goof with you go

980
00:58:23,720 --> 00:58:26,920
Speaker 2: do that. I should name it. But then he'd like

981
00:58:26,920 --> 00:58:33,960
Speaker 2: like that. On a related note, there's just something perfect

982
00:58:34,000 --> 00:58:38,880
Speaker 2: about this story. Diego pavia. See, you don't know who

983
00:58:38,920 --> 00:58:42,640
Speaker 2: that is. He's the quarterback of Vanderbilt. You probably don't

984
00:58:42,680 --> 00:58:45,360
Speaker 2: know that Vanderbilt has been terrible in football as long

985
00:58:45,360 --> 00:58:47,880
Speaker 2: as there's been football, and they have a very good

986
00:58:47,880 --> 00:58:49,880
Speaker 2: team this year. They're in the toughest league there is,

987
00:58:49,960 --> 00:58:52,760
Speaker 2: the SEC, and they've been very good. He's their quarterback.

988
00:58:53,600 --> 00:58:58,320
Speaker 2: His nickname is Pissing. How many people of you know

989
00:58:58,320 --> 00:59:02,200
Speaker 2: they have the name Pissing? Is their Well, it's because

990
00:59:02,240 --> 00:59:04,600
Speaker 2: when he was at New Mexico State, he famously went

991
00:59:04,640 --> 00:59:06,600
Speaker 2: to the University of New Mexico, walked out to the

992
00:59:06,640 --> 00:59:09,040
Speaker 2: fifty yard line of their field and took a leak

993
00:59:09,080 --> 00:59:10,840
Speaker 2: on the logo on the field. I mean that's when

994
00:59:10,840 --> 00:59:12,800
Speaker 2: he was at another school. He transferred to Vanderbilt, but

995
00:59:12,880 --> 00:59:15,920
Speaker 2: that was in other words, he's a very competitive kind

996
00:59:15,960 --> 00:59:20,760
Speaker 2: of And anyway, Vanderbilt has no chance of making the

997
00:59:20,760 --> 00:59:24,800
Speaker 2: college football playoff because well, they had a great season.

998
00:59:24,800 --> 00:59:26,920
Speaker 2: They're in the SEC and they have two losses and

999
00:59:26,920 --> 00:59:28,800
Speaker 2: they're both in the conference, so they can't advance to

1000
00:59:28,840 --> 00:59:31,560
Speaker 2: their conference title game and they're not going to make

1001
00:59:31,600 --> 00:59:33,760
Speaker 2: it in even though probably you can make the case

1002
00:59:33,800 --> 00:59:36,000
Speaker 2: they're a top twelve team. So what do you think

1003
00:59:36,040 --> 00:59:38,480
Speaker 2: Pabia one is trying to do about this to salvage

1004
00:59:38,480 --> 00:59:44,040
Speaker 2: their season. He's asking Trump to issue an executive order

1005
00:59:44,160 --> 00:59:47,480
Speaker 2: adding teams to the playoffs. The playoffs start in like

1006
00:59:47,520 --> 00:59:49,560
Speaker 2: a week and a half, and he's who is he

1007
00:59:49,600 --> 00:59:53,120
Speaker 2: asking to fix this? Trump? Now, the two things that

1008
00:59:53,160 --> 00:59:57,160
Speaker 2: make the story just perfect is I said forever, you know,

1009
00:59:57,280 --> 00:59:59,440
Speaker 2: they keep expanding the playoffs because they keep saying, there's

1010
00:59:59,440 --> 01:00:01,400
Speaker 2: this contract this team should be in. It doesn't matter

1011
01:00:01,440 --> 01:00:03,080
Speaker 2: how many teams are gonna be in. No matter what

1012
01:00:03,080 --> 01:00:04,720
Speaker 2: it is, they're gonna be teams that say that. Look

1013
01:00:04,720 --> 01:00:07,520
Speaker 2: at the NCAA basketball team, sixty eight teams are in

1014
01:00:07,520 --> 01:00:09,480
Speaker 2: that and you still have bitching about who doesn't get

1015
01:00:09,480 --> 01:00:12,960
Speaker 2: into that. The more teams you have, the more teams

1016
01:00:12,960 --> 01:00:19,560
Speaker 2: who think that they would be screwed. Remember when they

1017
01:00:19,600 --> 01:00:22,480
Speaker 2: had two teams in it. You can do that this

1018
01:00:22,560 --> 01:00:24,840
Speaker 2: year and have it just be cleaner. Whoever wins Ohio State,

1019
01:00:24,880 --> 01:00:27,240
Speaker 2: Indiana place, whoever wins Alabama, Georgia that they play for

1020
01:00:27,280 --> 01:00:34,160
Speaker 2: the national chain. You got me. He's here. Secondly, as

1021
01:00:34,240 --> 01:00:38,520
Speaker 2: much as people want to rag on Trump, Pavey knows

1022
01:00:38,560 --> 01:00:41,760
Speaker 2: that the one guy who actually could in an instant

1023
01:00:41,800 --> 01:00:44,439
Speaker 2: fits something and just issue whether or not he should

1024
01:00:44,560 --> 01:00:46,120
Speaker 2: issue an exec And I don't think Trump should be

1025
01:00:46,120 --> 01:00:48,400
Speaker 2: issued an executive order in college sports and all that stuff,

1026
01:00:48,520 --> 01:00:51,000
Speaker 2: But this is what it dawns on. This is a

1027
01:00:51,040 --> 01:01:01,880
Speaker 2: guy that actually might do it. A Trump's story. As

1028
01:01:01,880 --> 01:01:04,600
Speaker 2: you know, Trump's tariff authority may be struck down by

1029
01:01:04,640 --> 01:01:07,600
Speaker 2: the United States Supreme Court. I think that that would

1030
01:01:07,640 --> 01:01:09,560
Speaker 2: be a disaster. I think the TIFFs, not only by

1031
01:01:09,640 --> 01:01:12,280
Speaker 2: and large, have worked, the threat of tariffs, have given

1032
01:01:12,320 --> 01:01:15,000
Speaker 2: Trump incredible leverage to make the world a better place

1033
01:01:15,040 --> 01:01:17,360
Speaker 2: and get the United States on better footing in any

1034
01:01:17,440 --> 01:01:20,160
Speaker 2: number of areas. Trump, though, is doubling down on this.

1035
01:01:20,280 --> 01:01:22,680
Speaker 2: He is now saying that based on the incredible amount

1036
01:01:22,720 --> 01:01:25,040
Speaker 2: of revenue coming in from the limited tariffs that we have.

1037
01:01:25,720 --> 01:01:29,360
Speaker 2: He believes that the tariffs could eventually end the United

1038
01:01:29,360 --> 01:01:34,360
Speaker 2: States income tax. Now, a lot of people don't like

1039
01:01:34,400 --> 01:01:36,120
Speaker 2: the notion of tariffts because they think they're bad for

1040
01:01:36,160 --> 01:01:39,320
Speaker 2: the economy. On the other hand, virtually everyone agrees that

1041
01:01:39,440 --> 01:01:42,439
Speaker 2: taxation is bad for the economy. Imagine if nobody paid

1042
01:01:42,440 --> 01:01:44,640
Speaker 2: any federal income tax, if we kept all of our

1043
01:01:44,640 --> 01:01:46,040
Speaker 2: money other than seeing the money we give to the

1044
01:01:46,040 --> 01:01:48,480
Speaker 2: state and paying property taxes. For the people in this

1045
01:01:48,520 --> 01:01:50,840
Speaker 2: country who pay very little in taxes, they wouldn't care.

1046
01:01:51,200 --> 01:01:53,360
Speaker 2: But without regard to your status on that it would

1047
01:01:53,360 --> 01:01:55,480
Speaker 2: be a fortune of money that could be pumped back

1048
01:01:55,520 --> 01:01:58,320
Speaker 2: into the economy. And Trump's point is is that by

1049
01:01:58,320 --> 01:02:01,560
Speaker 2: setting the tariffs high enough, by tariffing, in other words,

1050
01:02:01,640 --> 01:02:05,400
Speaker 2: putting the tax only on the importation of products, without

1051
01:02:05,400 --> 01:02:07,320
Speaker 2: regard to whether or not you think the consumer is

1052
01:02:07,360 --> 01:02:10,160
Speaker 2: paying that tax or not, would it not be a

1053
01:02:10,200 --> 01:02:13,760
Speaker 2: better way of taxing than taxing people on their income power. Furthermore,

1054
01:02:13,840 --> 01:02:17,400
Speaker 2: it creates a tremendous incentive for companies to build their

1055
01:02:17,440 --> 01:02:19,880
Speaker 2: stuff here in the United States rather than import them.

1056
01:02:20,560 --> 01:02:22,680
Speaker 2: I don't know if Trump's numbers add up. It seems

1057
01:02:22,680 --> 01:02:23,960
Speaker 2: to be to come up with the amount of money

1058
01:02:24,000 --> 01:02:26,440
Speaker 2: that we pay in United States' income taxes, he'd have

1059
01:02:26,480 --> 01:02:30,320
Speaker 2: to tear off everything at like ten fifteen trillion percent. Nonetheless,

1060
01:02:31,520 --> 01:02:33,920
Speaker 2: the point he makes is interesting now to this story,

1061
01:02:34,560 --> 01:02:37,680
Speaker 2: there's a phenomenon one of the things that you don't

1062
01:02:37,720 --> 01:02:39,680
Speaker 2: know because the Internet and YouTube and all of those

1063
01:02:39,680 --> 01:02:43,000
Speaker 2: things weren't around. Are there more police impersonators now than

1064
01:02:43,000 --> 01:02:45,800
Speaker 2: there used to be? I mean, it just seems to

1065
01:02:45,920 --> 01:02:48,520
Speaker 2: twenty years ago you never really, I won't say, you

1066
01:02:48,560 --> 01:02:53,360
Speaker 2: never heard of it. It's very rare, right, the stolen

1067
01:02:53,440 --> 01:02:56,439
Speaker 2: valid with military Yeah, I mean maybe forty years ago

1068
01:02:56,520 --> 01:02:59,000
Speaker 2: every loudmouth in a bar was shooting his mouth offense.

1069
01:02:59,040 --> 01:03:01,160
Speaker 2: But now that they're all being captured on video and

1070
01:03:01,200 --> 01:03:04,400
Speaker 2: people are exposed, it's just hard to say. But boy,

1071
01:03:04,480 --> 01:03:08,280
Speaker 2: I think of there's so many things that people that

1072
01:03:08,320 --> 01:03:12,120
Speaker 2: weirdos get into that I just can't imagine. You Paul's

1073
01:03:12,120 --> 01:03:14,280
Speaker 2: got I think I can say this, I can say what, Yeah,

1074
01:03:14,360 --> 01:03:17,720
Speaker 2: Paul's son laws a cop. I don't. I haven't named

1075
01:03:17,720 --> 01:03:19,680
Speaker 2: the jurisdiction. I don't think Paul minds that. I just

1076
01:03:19,840 --> 01:03:24,960
Speaker 2: want to do it. Here's a cop. Okay, I just okay,

1077
01:03:25,000 --> 01:03:26,760
Speaker 2: that's kind of that's a good thing that he's serving

1078
01:03:26,800 --> 01:03:31,360
Speaker 2: and everything. I remember when I wanted to be a cop.

1079
01:03:32,480 --> 01:03:35,720
Speaker 2: I was five. You know, you played cops and robbers.

1080
01:03:36,240 --> 01:03:41,240
Speaker 2: What is it about a grown adult taking all the

1081
01:03:41,400 --> 01:03:44,920
Speaker 2: risks of trouble that you can get into, running around

1082
01:03:44,960 --> 01:03:48,480
Speaker 2: and actually pretending hard to be And when I say pretending,

1083
01:03:49,200 --> 01:03:52,560
Speaker 2: pulling people over, putting lights in their cards, wearing fake badges,

1084
01:03:53,720 --> 01:03:56,520
Speaker 2: do you get that? It just I mean there's a

1085
01:03:56,560 --> 01:03:59,040
Speaker 2: lot of things I don't get that weirdos that we're

1086
01:03:59,120 --> 01:04:01,080
Speaker 2: I mean, there are something that I would never do,

1087
01:04:01,160 --> 01:04:03,040
Speaker 2: but I at least get what they see and do it,

1088
01:04:03,720 --> 01:04:06,760
Speaker 2: you know, like any number of things that we shouldn't do.

1089
01:04:06,840 --> 01:04:08,960
Speaker 2: I mean, I say, why people use drugs. They get

1090
01:04:09,000 --> 01:04:10,560
Speaker 2: the buzz and the high off, but I don't do

1091
01:04:10,600 --> 01:04:12,800
Speaker 2: it because of the long term after effects on the downsay,

1092
01:04:12,960 --> 01:04:14,920
Speaker 2: but you can at least see, Okay, they get the bus.

1093
01:04:15,040 --> 01:04:18,280
Speaker 2: I just don't get white to be good about that

1094
01:04:18,600 --> 01:04:21,000
Speaker 2: given the Okay, we got another one. The story I

1095
01:04:21,000 --> 01:04:24,439
Speaker 2: find in the walkaster frameman elcorn Man charged with impersonating

1096
01:04:24,440 --> 01:04:27,000
Speaker 2: police officer. And listen to this. The guy's name is

1097
01:04:27,240 --> 01:04:34,520
Speaker 2: Davin Stam nineteen. He's a mill Cord nineteen. Well, I

1098
01:04:34,560 --> 01:04:36,840
Speaker 2: mean they're of all ages. By the way. One of

1099
01:04:36,840 --> 01:04:39,560
Speaker 2: the things that you see about these these people tend

1100
01:04:40,000 --> 01:04:42,920
Speaker 2: to not be First of all, you rarely get prison

1101
01:04:42,960 --> 01:04:45,400
Speaker 2: time for it. They give them little offenses. Think a

1102
01:04:45,400 --> 01:04:46,920
Speaker 2: lot of these people that you see in the internet

1103
01:04:46,920 --> 01:04:49,600
Speaker 2: have been doing it forever. There's some guy named Jeremy.

1104
01:04:49,600 --> 01:04:51,800
Speaker 2: He's a legend on YouTube. He's been caught like thirty

1105
01:04:51,800 --> 01:04:55,280
Speaker 2: five times. He just keeps doing it, and he'll like

1106
01:04:55,360 --> 01:04:58,160
Speaker 2: set up a business. It's quasi related to this, like

1107
01:04:58,240 --> 01:05:01,360
Speaker 2: some sort of security and that. There are certain things

1108
01:05:01,440 --> 01:05:02,920
Speaker 2: you can't do. And it has to do with like

1109
01:05:02,920 --> 01:05:04,840
Speaker 2: the colors you can put of the lights that are

1110
01:05:04,840 --> 01:05:09,680
Speaker 2: on your vehicle. Is it I actually don't even know

1111
01:05:09,800 --> 01:05:11,640
Speaker 2: right now, is it blue and white? I think that

1112
01:05:11,720 --> 01:05:14,120
Speaker 2: blue and white can only be law enforcement? I think,

1113
01:05:14,880 --> 01:05:18,680
Speaker 2: do you know? Yeah, I don't know the right. And

1114
01:05:19,320 --> 01:05:22,320
Speaker 2: then there are other things like there's no law against

1115
01:05:22,320 --> 01:05:24,680
Speaker 2: carrying a badge, but you can't make it too much

1116
01:05:24,920 --> 01:05:27,280
Speaker 2: like a law enforcement you know, for instance, they give

1117
01:05:27,280 --> 01:05:30,560
Speaker 2: out honorary badges and that kinds of things. Any number

1118
01:05:30,560 --> 01:05:32,120
Speaker 2: of things, and you can you know, you can have

1119
01:05:32,160 --> 01:05:34,400
Speaker 2: an ex police car as a vehicle, but you can't

1120
01:05:34,440 --> 01:05:36,720
Speaker 2: steal it. And you can even put terms on it

1121
01:05:36,760 --> 01:05:40,720
Speaker 2: like security policing or something like that. There's certain lines

1122
01:05:40,760 --> 01:05:42,960
Speaker 2: that and these people always tend to get right up

1123
01:05:42,960 --> 01:05:46,720
Speaker 2: to the light anyway. Getting the story. Guy's nineteen charge

1124
01:05:46,720 --> 01:05:50,000
Speaker 2: wensan Wakashakany Circuit Court was impersonating a peace officer, a

1125
01:05:50,000 --> 01:05:52,280
Speaker 2: misdemeanor punishable buy up to nine months in jail, which

1126
01:05:52,280 --> 01:05:54,240
Speaker 2: they never get, or ten thousand dollars in fine. He

1127
01:05:54,320 --> 01:05:56,600
Speaker 2: is due for an initial court appeance January twenty second.

1128
01:05:56,640 --> 01:06:00,200
Speaker 2: Listen to this. A criminal complaint against him, said sure.

1129
01:06:00,200 --> 01:06:03,080
Speaker 2: Iff's deputies were summoned to August fifth to an area

1130
01:06:03,120 --> 01:06:07,200
Speaker 2: of Interstate forty three and Moreland Road. That's a very

1131
01:06:07,240 --> 01:06:11,919
Speaker 2: busy intersection that's in south central Walkershaw County and taking

1132
01:06:11,920 --> 01:06:14,440
Speaker 2: an I forty three from Milwaukee toward you know, Beloit

1133
01:06:14,560 --> 01:06:18,400
Speaker 2: and so on. Moreland Roads a huge interchange there, probably

1134
01:06:18,440 --> 01:06:21,520
Speaker 2: the biggest one on all of the southwestern portion of

1135
01:06:21,520 --> 01:06:25,000
Speaker 2: I forty three. For a report of a vehicle flashing

1136
01:06:25,080 --> 01:06:28,160
Speaker 2: blue lights. Now this is dangerous because I think I'm

1137
01:06:28,160 --> 01:06:29,880
Speaker 2: not sure this. I think it's blue and white that

1138
01:06:29,960 --> 01:06:33,400
Speaker 2: you can't use it's white in combination of blue flashing

1139
01:06:33,440 --> 01:06:36,360
Speaker 2: blue lights to get others to move over. A deputy

1140
01:06:36,400 --> 01:06:39,920
Speaker 2: reported seeing a Ford Explorer matching the vehicle's description flashing

1141
01:06:39,920 --> 01:06:42,720
Speaker 2: blue lights while behind another car near Guthrie rode An

1142
01:06:42,720 --> 01:06:45,480
Speaker 2: I forty three. The complaint said, so he's doing this

1143
01:06:45,560 --> 01:06:49,480
Speaker 2: On the interstate. A deputy found a light bar that

1144
01:06:49,640 --> 01:06:53,520
Speaker 2: flashed white and blue lights when activated in the upper

1145
01:06:53,560 --> 01:06:57,080
Speaker 2: portion of the windshield of Stam's vehicle. The complaint said.

1146
01:06:57,200 --> 01:07:00,000
Speaker 2: When the deputy asked him why he had activated the lights,

1147
01:07:00,200 --> 01:07:02,200
Speaker 2: I love this. You get pulled over, you have this?

1148
01:07:02,640 --> 01:07:06,120
Speaker 2: Why did you do this? I mean, there is no

1149
01:07:06,320 --> 01:07:09,080
Speaker 2: every lie that you tell is gonna sound stupid, right,

1150
01:07:09,920 --> 01:07:12,000
Speaker 2: I mean you don't. I mean, I suppose they'd be

1151
01:07:12,040 --> 01:07:13,680
Speaker 2: really stupid and just come out and say I was

1152
01:07:13,720 --> 01:07:15,840
Speaker 2: trying to convince people I was a cop. But that

1153
01:07:15,880 --> 01:07:18,760
Speaker 2: would be the only answer that would be sensible, because

1154
01:07:18,800 --> 01:07:22,200
Speaker 2: any lie that you make up is just really stupid sounding.

1155
01:07:22,480 --> 01:07:25,400
Speaker 2: But they have to say something. They could I suppose

1156
01:07:25,480 --> 01:07:28,560
Speaker 2: just say I'm pleading the fifth You're right, I'm not

1157
01:07:28,640 --> 01:07:31,480
Speaker 2: saying a damn thing, because you know, but of course

1158
01:07:31,520 --> 01:07:34,600
Speaker 2: they have to say something. And remember the guy's pretending

1159
01:07:34,640 --> 01:07:36,840
Speaker 2: to be a cop, so he's obviously not somebody who's

1160
01:07:36,840 --> 01:07:39,000
Speaker 2: gonna like want to like screw with the cops, because

1161
01:07:39,040 --> 01:07:42,080
Speaker 2: this is like his these are cops. This is what

1162
01:07:42,160 --> 01:07:44,040
Speaker 2: he wants to He's thinking that, like this is a

1163
01:07:44,040 --> 01:07:48,120
Speaker 2: fellow cop kind of right, Yeah, there is zero so

1164
01:07:48,160 --> 01:07:50,640
Speaker 2: he watched the corp at Anyway, when the deputy asked

1165
01:07:50,720 --> 01:07:53,400
Speaker 2: him why he had activated the lights, the defendant explained

1166
01:07:53,400 --> 01:07:56,440
Speaker 2: that there was a Tesla in front of him driving slowly,

1167
01:07:56,880 --> 01:07:59,840
Speaker 2: and he turned the lights on to make the Tesla mobile,

1168
01:08:01,320 --> 01:08:03,600
Speaker 2: as opposed to what most people would do, which is

1169
01:08:03,960 --> 01:08:07,800
Speaker 2: pass him. Now occasionally, at I forty three, in the

1170
01:08:07,840 --> 01:08:09,800
Speaker 2: areas where it's only two lanes in each direction, you

1171
01:08:09,800 --> 01:08:11,520
Speaker 2: can kind of be stuck behind somebody and so on,

1172
01:08:11,880 --> 01:08:13,560
Speaker 2: I find that what you can do, if you're really

1173
01:08:13,560 --> 01:08:18,639
Speaker 2: frustrated is you flash him a couple of times, right, yeah,

1174
01:08:18,680 --> 01:08:20,400
Speaker 2: And the reason that you do that you don't have

1175
01:08:20,479 --> 01:08:22,439
Speaker 2: blue and white lights on the top of your car

1176
01:08:22,520 --> 01:08:25,639
Speaker 2: or anything like that to pull over. Well, the guy's

1177
01:08:25,680 --> 01:08:29,120
Speaker 2: going too slow, so that's why I did this. Continuing,

1178
01:08:29,439 --> 01:08:34,000
Speaker 2: a fake rifle was found on a passenger seat. No

1179
01:08:34,280 --> 01:08:37,040
Speaker 2: often these cop cars will have a rifle. So he's

1180
01:08:37,040 --> 01:08:38,960
Speaker 2: got a rifle, but it's a fake rifle. But would

1181
01:08:38,960 --> 01:08:41,120
Speaker 2: you have a fake rifle for so only so you

1182
01:08:41,240 --> 01:08:45,479
Speaker 2: look like a cop? And Stam denied having any other

1183
01:08:45,520 --> 01:08:48,440
Speaker 2: items in his car consistent with law enforcement, like handcuffs,

1184
01:08:48,439 --> 01:08:51,200
Speaker 2: a badge of the like. Stam admitted he was not

1185
01:08:51,240 --> 01:08:53,400
Speaker 2: a police officer and that what he did was stupid.

1186
01:08:53,560 --> 01:08:56,599
Speaker 2: See they all say it was stupid. Well, it occurs

1187
01:08:56,600 --> 01:08:58,439
Speaker 2: to you that's stupid when the cop is standing here.

1188
01:08:58,520 --> 01:09:00,439
Speaker 2: But forty five seconds ago, when they were run of

1189
01:09:00,439 --> 01:09:02,000
Speaker 2: the lights and you were doing it, you didn't think

1190
01:09:02,000 --> 01:09:05,280
Speaker 2: it was stupid. Yeah, you got It's a lot of

1191
01:09:05,280 --> 01:09:07,280
Speaker 2: work to this. But I'm guessing this is like he's

1192
01:09:07,400 --> 01:09:12,080
Speaker 2: into this. See I'm just first of all, I just

1193
01:09:12,120 --> 01:09:14,120
Speaker 2: can't get myself to be this weird. Plus I'm just

1194
01:09:14,200 --> 01:09:18,439
Speaker 2: too lazy. Well that's the other thing if you want

1195
01:09:18,439 --> 01:09:20,040
Speaker 2: to be And I see some of these that are

1196
01:09:20,040 --> 01:09:22,479
Speaker 2: like forty five obvious. Maybe they tried to be a

1197
01:09:22,479 --> 01:09:24,519
Speaker 2: cop and got washed out, or they were chicken, or

1198
01:09:24,520 --> 01:09:27,120
Speaker 2: they were too slow, there's a criminal conviction, or they

1199
01:09:27,120 --> 01:09:31,360
Speaker 2: smoke pot and they and this guy's nineteen, he actually

1200
01:09:31,400 --> 01:09:34,000
Speaker 2: could still be one and well, it can't be too

1201
01:09:34,000 --> 01:09:36,160
Speaker 2: hard to become a cops. There's somebody in your family

1202
01:09:36,240 --> 01:09:40,400
Speaker 2: that's a I know it's not that easy, but it's

1203
01:09:40,439 --> 01:09:45,040
Speaker 2: not impossible. It can't be impossible. There's asillien enough I'm

1204
01:09:45,080 --> 01:09:49,760
Speaker 2: running around out there. Stam admitted that he was not

1205
01:09:49,760 --> 01:09:51,639
Speaker 2: a police officer and he was stupid. The complaints said.

1206
01:09:51,800 --> 01:09:55,439
Speaker 2: The Nippity also learned Stam had a suspended driver's life.

1207
01:09:57,400 --> 01:09:59,719
Speaker 2: I mean, okay, I could see he's not gonna make copy,

1208
01:09:59,800 --> 01:10:02,519
Speaker 2: can't and even keep his driver's license in order. In

1209
01:10:02,560 --> 01:10:05,479
Speaker 2: an interview with deputies, Stam said he recently bought the

1210
01:10:05,560 --> 01:10:08,559
Speaker 2: lights for his car, thinking they were cool to have.

1211
01:10:09,479 --> 01:10:12,160
Speaker 2: He denied any intent to impersonate a police officer, but

1212
01:10:12,200 --> 01:10:13,720
Speaker 2: he said he turned the lights on to get the

1213
01:10:13,760 --> 01:10:17,000
Speaker 2: Tesla to move over and it did not. Stam stated

1214
01:10:17,040 --> 01:10:20,000
Speaker 2: that he activated the blue and white lights twice previously

1215
01:10:20,040 --> 01:10:22,679
Speaker 2: to get other vehicles to yield or move over, and see,

1216
01:10:23,000 --> 01:10:25,360
Speaker 2: that's all he can do. He wasn't going to actually

1217
01:10:25,439 --> 01:10:27,880
Speaker 2: apparently pull anybody over and put him in cuffs and

1218
01:10:27,880 --> 01:10:30,120
Speaker 2: so on. His whole thing was to turn the lights

1219
01:10:30,160 --> 01:10:32,040
Speaker 2: on and feel like a big shot as the cars

1220
01:10:32,040 --> 01:10:33,600
Speaker 2: are then pull over and then he'd drive on and

1221
01:10:33,640 --> 01:10:37,519
Speaker 2: do the next thing. I just o there are people

1222
01:10:37,520 --> 01:10:39,080
Speaker 2: out of the price. It's just like the same thing

1223
01:10:39,080 --> 01:10:41,040
Speaker 2: with kittie porn. I can't imagine being into that. I

1224
01:10:41,160 --> 01:10:46,599
Speaker 2: just can't. You know, some hot looking twenty seven year

1225
01:10:46,600 --> 01:10:48,240
Speaker 2: old woman's pants that are ound in there, I get

1226
01:10:48,280 --> 01:10:50,240
Speaker 2: getting turned on by that. I just can't get the

1227
01:10:50,240 --> 01:10:52,519
Speaker 2: whole they're promising. Well, I could see what you'd be.

1228
01:10:52,560 --> 01:10:58,240
Speaker 2: I just can't imagine this is but you're when you

1229
01:10:58,280 --> 01:11:01,439
Speaker 2: watch horse races, I do well, I can't imagine. I know.

1230
01:11:03,160 --> 01:11:05,479
Speaker 2: I just think, Mike is They're just a level of

1231
01:11:05,560 --> 01:11:10,840
Speaker 2: It's just a weird thing, isn't it. Well, not only

1232
01:11:10,880 --> 01:11:12,600
Speaker 2: is it. I'm just talking about why you'd want to

1233
01:11:12,640 --> 01:11:17,679
Speaker 2: do it, all right, And know this, of the people

1234
01:11:17,720 --> 01:11:21,880
Speaker 2: that are into perverts toward kids, that's it. It seemed that

1235
01:11:21,920 --> 01:11:28,400
Speaker 2: a disproportionate number of them are soccer coaches. I mean, now,

1236
01:11:28,479 --> 01:11:30,080
Speaker 2: part of the reason that you seem to get it,

1237
01:11:30,080 --> 01:11:32,280
Speaker 2: there's azillion teachers that are getting caught up in this

1238
01:11:32,479 --> 01:11:36,400
Speaker 2: is well, first of all, there's azillion teachers, and second

1239
01:11:36,439 --> 01:11:39,280
Speaker 2: lay are they going into teaching because they're attracted to

1240
01:11:39,360 --> 01:11:41,840
Speaker 2: young people or because all they're around is young people.

1241
01:11:41,880 --> 01:11:43,639
Speaker 2: That's what they get attracted to. I don't know the answer.

1242
01:11:44,000 --> 01:11:47,559
Speaker 2: Another soccer coach. Now this is a weird one. This

1243
01:11:47,560 --> 01:11:50,479
Speaker 2: one's being reported in Fox six. The guy is a

1244
01:11:50,479 --> 01:11:53,600
Speaker 2: local youth soccer coach. He is accused of trying to

1245
01:11:53,640 --> 01:11:58,960
Speaker 2: fly overseas they have sex with children. That's a lot

1246
01:11:59,000 --> 01:12:03,880
Speaker 2: of trouble. I'm not sure I want to fly overseas

1247
01:12:03,960 --> 01:12:07,240
Speaker 2: to do anything. I mean, what is it that you

1248
01:12:07,280 --> 01:12:08,800
Speaker 2: want enough to do that you're gonna set on a

1249
01:12:08,800 --> 01:12:10,360
Speaker 2: plane for eight or night. There's got to be like

1250
01:12:10,439 --> 01:12:14,760
Speaker 2: some sort of tourism or something. I mean, what, yeah,

1251
01:12:14,840 --> 01:12:17,559
Speaker 2: like ski in the Alps or something. Even then, even

1252
01:12:17,560 --> 01:12:19,439
Speaker 2: if I as a skier, I just think I'd rather

1253
01:12:19,520 --> 01:12:23,519
Speaker 2: go to Aspen than you know, you've been on cruises.

1254
01:12:23,560 --> 01:12:25,360
Speaker 2: You see how long the line of customs in some

1255
01:12:25,400 --> 01:12:30,519
Speaker 2: of these foreign countries is. Do you anyway? Here's the

1256
01:12:30,560 --> 01:12:38,080
Speaker 2: guy's name, Justin Kaegerbauer. He's forty six, charged in federal

1257
01:12:38,120 --> 01:12:42,240
Speaker 2: court with multiple sex crimes. On Tuesday, judge out of

1258
01:12:42,280 --> 01:12:44,800
Speaker 2: the forty six year old detained pending trial. Fox six

1259
01:12:44,800 --> 01:12:46,759
Speaker 2: reached out to this attorney and did not get a response.

1260
01:12:46,760 --> 01:12:49,840
Speaker 2: Here's the backstory. A flight bound and I'm not going

1261
01:12:49,880 --> 01:12:53,720
Speaker 2: to make light of this year because this is this

1262
01:12:53,800 --> 01:12:57,479
Speaker 2: guy's in our community. A flight bound for New York's

1263
01:12:57,520 --> 01:13:00,360
Speaker 2: John F. Kennedy International Airport took off from Chice, oh

1264
01:13:00,400 --> 01:13:04,680
Speaker 2: Here on Thanksgiving morning. Federal agents planned to arrest Haegerbauer

1265
01:13:04,720 --> 01:13:07,559
Speaker 2: at the airport, but he never made it. Two hours later,

1266
01:13:07,640 --> 01:13:09,600
Speaker 2: court records show the forty six year old man is

1267
01:13:09,600 --> 01:13:12,360
Speaker 2: it was in US marshal's custody at the federal courthouse.

1268
01:13:12,640 --> 01:13:15,880
Speaker 2: He appeared before a magistrate judged that after doing for months.

1269
01:13:15,920 --> 01:13:19,519
Speaker 2: Prosecutors said, and again, the thing with this is, you

1270
01:13:19,560 --> 01:13:21,479
Speaker 2: know what, with the Internet and everything, there is no

1271
01:13:21,640 --> 01:13:25,120
Speaker 2: place less private in our world than the Internet. It's

1272
01:13:25,160 --> 01:13:28,800
Speaker 2: the easiest thing for them to snoop on, you know,

1273
01:13:28,920 --> 01:13:30,920
Speaker 2: to put a listening device into your home. They got

1274
01:13:30,920 --> 01:13:33,559
Speaker 2: to bust into your host thing osten. When I watched

1275
01:13:33,560 --> 01:13:35,320
Speaker 2: The Sopranos, they always seem to like try to put

1276
01:13:35,360 --> 01:13:38,760
Speaker 2: those things in lamps. Well, I guess it's because who

1277
01:13:38,800 --> 01:13:44,280
Speaker 2: looks under a lamp? Yeah, I was right, I mean, see,

1278
01:13:44,280 --> 01:13:46,280
Speaker 2: I mean that's Carl. First of all, they gotta get

1279
01:13:46,280 --> 01:13:48,519
Speaker 2: in and they gotta play the Internet. It's all it's

1280
01:13:48,640 --> 01:13:51,280
Speaker 2: very easy to tap in and just go onto your

1281
01:13:51,320 --> 01:13:54,320
Speaker 2: computer and see what's going on, which is good because

1282
01:13:54,360 --> 01:13:55,880
Speaker 2: I mean they're good and bad things about it. One

1283
01:13:55,920 --> 01:13:58,320
Speaker 2: of the good things is we're catching these cretness perverts.

1284
01:13:58,880 --> 01:14:01,360
Speaker 2: So anyway, for months, the prosecutors said he had been

1285
01:14:01,439 --> 01:14:04,360
Speaker 2: talking with who he thought was a woman in the

1286
01:14:04,479 --> 01:14:07,880
Speaker 2: United United Kingdom with a nine year old niece. It

1287
01:14:08,000 --> 01:14:11,080
Speaker 2: was actually an undercover UK cop. So this is a

1288
01:14:11,160 --> 01:14:15,040
Speaker 2: Flicks guy's probably thinking I'm gonna do this overseas because

1289
01:14:15,080 --> 01:14:17,240
Speaker 2: I know there's all these cops in walker Shaw and

1290
01:14:17,280 --> 01:14:20,439
Speaker 2: so on posing as posing to these people. But it

1291
01:14:20,479 --> 01:14:22,840
Speaker 2: certainly wouldn't be in Britain, and it's a British cop.

1292
01:14:25,760 --> 01:14:28,360
Speaker 2: Court filing said he wrote he would be interested in

1293
01:14:28,400 --> 01:14:38,320
Speaker 2: girls six plus. Oh my god, I mean, aside from

1294
01:14:38,320 --> 01:14:41,240
Speaker 2: my moral disapproval, I'm actually serious with what's what. I

1295
01:14:41,280 --> 01:14:46,360
Speaker 2: just don't get what they praction is. I I have

1296
01:14:46,479 --> 01:14:49,720
Speaker 2: never in my life thought of something, and I'm you know,

1297
01:14:49,920 --> 01:14:52,479
Speaker 2: we talked about the whole seventeen thing in the Woody

1298
01:14:52,479 --> 01:14:55,160
Speaker 2: Ellen movie, in which nobody back. It was only you know,

1299
01:14:55,320 --> 01:14:58,360
Speaker 2: forty five nineteen seventy nine when Manhattan came out. You know,

1300
01:14:58,400 --> 01:15:00,360
Speaker 2: he's having a relationship with the seventeen year old in

1301
01:15:00,400 --> 01:15:03,519
Speaker 2: the movie, and it was not even controversial at the time. Now,

1302
01:15:03,560 --> 01:15:06,439
Speaker 2: in part the age of consent in New York State

1303
01:15:06,479 --> 01:15:08,280
Speaker 2: at that time was sixteen. A lot of states have

1304
01:15:08,360 --> 01:15:11,760
Speaker 2: kind of changed those rules, but it since become considered,

1305
01:15:12,280 --> 01:15:14,840
Speaker 2: if not criminal, seventeen is a close call in the

1306
01:15:14,880 --> 01:15:16,800
Speaker 2: laws in a lot of states. Not criminal. It's just

1307
01:15:16,880 --> 01:15:19,160
Speaker 2: generally disapproved of the guy in the forties, and but

1308
01:15:19,240 --> 01:15:23,840
Speaker 2: that is an attitude that's rather new. But six six

1309
01:15:23,880 --> 01:15:26,240
Speaker 2: has never been acceptable unless, as they say, you're a

1310
01:15:26,280 --> 01:15:31,600
Speaker 2: Pakistani immigrant. Six plus is quote as well as I

1311
01:15:31,640 --> 01:15:33,800
Speaker 2: have no experience, but I would love to and it

1312
01:15:33,840 --> 01:15:38,160
Speaker 2: would be a dream come true. My dream, contru would

1313
01:15:38,120 --> 01:15:40,439
Speaker 2: be like winning the Kentucky Derby or something. This guy

1314
01:15:40,760 --> 01:15:42,240
Speaker 2: is to go to England and have sex with a

1315
01:15:42,280 --> 01:15:47,720
Speaker 2: six year old. The undercover officer and Kiggerbower chatted more

1316
01:15:47,760 --> 01:15:51,200
Speaker 2: than one hundred times in March to November, reiterating plans

1317
01:15:51,200 --> 01:15:52,920
Speaker 2: to visit the woman and the nine year old girl.

1318
01:15:52,960 --> 01:15:54,840
Speaker 2: They some can say, it's just talk, it's just talk,

1319
01:15:54,840 --> 01:16:00,320
Speaker 2: it's just the guy booked a flight to London. Blue

1320
01:16:00,320 --> 01:16:03,599
Speaker 2: told federal investigators kager Bar bought a one way ticket.

1321
01:16:04,800 --> 01:16:07,360
Speaker 2: Was he gonna stay there and live happily ever after?

1322
01:16:08,479 --> 01:16:11,240
Speaker 2: I mean, I get I actually buy one way tickets.

1323
01:16:11,280 --> 01:16:12,800
Speaker 2: It used to be you get a big discount on

1324
01:16:12,840 --> 01:16:15,960
Speaker 2: the round trip. It's not really true anymore. So you know,

1325
01:16:16,000 --> 01:16:18,320
Speaker 2: you can decide when to come back to he throw

1326
01:16:18,400 --> 01:16:21,960
Speaker 2: Airport in London via JFK for November twenty seventh, which

1327
01:16:22,040 --> 01:16:27,880
Speaker 2: is wasn't that Thanksgiving Day? What a sick day to

1328
01:16:27,960 --> 01:16:30,800
Speaker 2: go do it? It's gonna get out a plane to

1329
01:16:30,840 --> 01:16:33,320
Speaker 2: go overseas. They have sex with a child that he's

1330
01:16:33,360 --> 01:16:39,240
Speaker 2: leaving on Thanksgiving Day. From court filings and archived websites,

1331
01:16:39,560 --> 01:16:43,080
Speaker 2: Fox six News that Kaegerbauer was an architect for Heartland

1332
01:16:43,200 --> 01:16:47,160
Speaker 2: Homebuilders and served as the director of tryouts and accounts

1333
01:16:47,200 --> 01:16:52,520
Speaker 2: receivable for the Franklin based Croatian Eagles soccer club. Prosecutors

1334
01:16:52,520 --> 01:16:55,000
Speaker 2: have not mentioned any allegations involving the club or children,

1335
01:16:55,040 --> 01:16:57,080
Speaker 2: so again, there's no medication that he's actually done anything

1336
01:16:57,120 --> 01:16:59,280
Speaker 2: like this. But again, how do you know? So anybody

1337
01:16:59,320 --> 01:17:01,640
Speaker 2: who's if your kids have had contact, I would at

1338
01:17:01,720 --> 01:17:03,680
Speaker 2: least ask, you know, do you remember this guy did

1339
01:17:03,680 --> 01:17:09,040
Speaker 2: anything odd happen? And so on? Maybe it did, maybe

1340
01:17:09,040 --> 01:17:12,320
Speaker 2: it didn't. Time for our weekly football preview and some

1341
01:17:12,360 --> 01:17:18,320
Speaker 2: point spread picks next on the Mark Belling Podcast. This

1342
01:17:18,360 --> 01:17:21,639
Speaker 2: is the Mark Belling Podcast. Unfortunately, Mike Burletta of American

1343
01:17:21,640 --> 01:17:24,160
Speaker 2: Sports Analysts and Madison cannot be with us this week.

1344
01:17:24,200 --> 01:17:27,800
Speaker 2: There's he's got a conflict in his personal life and

1345
01:17:27,800 --> 01:17:29,160
Speaker 2: so on, and he was not able to join us

1346
01:17:29,160 --> 01:17:31,160
Speaker 2: at the time for taping. So we're going to do

1347
01:17:31,240 --> 01:17:34,240
Speaker 2: this a little bit shorter than normal our football preview.

1348
01:17:34,320 --> 01:17:36,360
Speaker 2: I will simply share some thoughts and a couple of

1349
01:17:36,360 --> 01:17:39,759
Speaker 2: big things going on in football this weekend. The biggest

1350
01:17:39,760 --> 01:17:43,080
Speaker 2: college football game nobody's even when you have number one

1351
01:17:43,160 --> 01:17:45,719
Speaker 2: playing number two, it's kind of a magical thing. Less

1352
01:17:45,760 --> 01:17:49,280
Speaker 2: so this year, because the football playoffs are in place,

1353
01:17:49,400 --> 01:17:54,160
Speaker 2: and both teams will advance to the playoffs anyway, and

1354
01:17:54,200 --> 01:17:56,360
Speaker 2: they're both probably going to get first round buys. The

1355
01:17:56,400 --> 01:17:58,880
Speaker 2: team that loses will still probably be ranked in the

1356
01:17:58,920 --> 01:18:02,880
Speaker 2: top four. But Ohio's plays Indiana for the Big Ten championship.

1357
01:18:03,880 --> 01:18:06,040
Speaker 2: And one of the things that I dislike about the

1358
01:18:06,040 --> 01:18:09,320
Speaker 2: college playoffs, as I say, is this game doesn't have

1359
01:18:09,360 --> 01:18:12,280
Speaker 2: the consequence if we had a shorter playoff, like a

1360
01:18:12,320 --> 01:18:14,519
Speaker 2: four team thing, and it meant that the loser would

1361
01:18:14,560 --> 01:18:19,559
Speaker 2: be out. It would give this game incredible meaning. Still

1362
01:18:19,600 --> 01:18:23,800
Speaker 2: it's a fascinating game because both teams are unbeaten, they're

1363
01:18:23,800 --> 01:18:27,160
Speaker 2: in the same league, and most of their wins were

1364
01:18:27,160 --> 01:18:30,839
Speaker 2: by whiteouts. Because the Big Ten now has eighteen teams,

1365
01:18:31,600 --> 01:18:34,240
Speaker 2: a lot of these teams don't even have opponents in

1366
01:18:34,320 --> 01:18:38,759
Speaker 2: common where you can compare that both have tremendous offense

1367
01:18:38,880 --> 01:18:41,240
Speaker 2: is ranked both ranked in the top five in the country,

1368
01:18:41,720 --> 01:18:45,080
Speaker 2: and Ohio State in particular has a great defense. Indiana's

1369
01:18:45,120 --> 01:18:48,519
Speaker 2: offense seems to be a little better. What makes the

1370
01:18:48,560 --> 01:18:52,320
Speaker 2: game very, very hard to predict is since they both

1371
01:18:52,439 --> 01:18:55,680
Speaker 2: essentially kill the teams in the Big Ten and have

1372
01:18:55,800 --> 01:18:59,760
Speaker 2: similar strengths of schedule, who really is better. When we

1373
01:18:59,800 --> 01:19:02,439
Speaker 2: talk talked about the Ohio State Michigan game last week,

1374
01:19:03,120 --> 01:19:05,640
Speaker 2: Mike pointed out that Ohio State through the luck of

1375
01:19:05,680 --> 01:19:09,160
Speaker 2: the draw. Remember when you have an eighteen team league,

1376
01:19:09,280 --> 01:19:11,040
Speaker 2: you're only going to play half the other teams in

1377
01:19:11,040 --> 01:19:13,120
Speaker 2: the league, and that they do it by random. Wisconsin

1378
01:19:13,240 --> 01:19:15,840
Speaker 2: just got unlucky this year, and that they had no

1379
01:19:16,240 --> 01:19:18,679
Speaker 2: soft Big Ten games. Every great team in the league

1380
01:19:18,720 --> 01:19:21,320
Speaker 2: it seemed as though, was on their schedule. Ohio State

1381
01:19:21,360 --> 01:19:23,840
Speaker 2: has a softer schedule, so Mike wasn't sure that they

1382
01:19:23,880 --> 01:19:27,960
Speaker 2: would how badly they would beat Michigan. As it turns out, Michigan,

1383
01:19:27,960 --> 01:19:30,240
Speaker 2: which has had Ohio State's number, Ohio State which is

1384
01:19:30,320 --> 01:19:33,479
Speaker 2: so focused on the game, and Ohio State slaughtered them.

1385
01:19:34,040 --> 01:19:36,920
Speaker 2: Indiana finished the season playing a very poor team. It's

1386
01:19:36,960 --> 01:19:39,479
Speaker 2: cross state rival puit Perdue, and they beat him fifty

1387
01:19:39,520 --> 01:19:45,720
Speaker 2: six to three. So that's an interesting game. The prestige

1388
01:19:45,720 --> 01:19:49,040
Speaker 2: that comes out of it is simply being the only

1389
01:19:49,160 --> 01:19:53,560
Speaker 2: undefeated team left and the title of Big Ten Championship. Unfortunately,

1390
01:19:54,120 --> 01:19:56,040
Speaker 2: two weeks later, when they both start their action in

1391
01:19:56,080 --> 01:19:59,759
Speaker 2: the college football playoffs, people will have forgotten the game.

1392
01:20:00,160 --> 01:20:03,200
Speaker 2: On the college football playoffs. I mentioned in an earlier

1393
01:20:03,240 --> 01:20:07,240
Speaker 2: segment Diego Pavia, the quarterback for Vanderbilt, asking President Trump

1394
01:20:07,240 --> 01:20:09,320
Speaker 2: to intervene because the playoffs are all screwed up, and

1395
01:20:09,320 --> 01:20:11,479
Speaker 2: they are all screwed up. Doesn't matter how many teams.

1396
01:20:11,520 --> 01:20:13,439
Speaker 2: Pick a number of teams that you put in the playoffs,

1397
01:20:13,560 --> 01:20:15,760
Speaker 2: doesn't matter what it is. Just grab a number. Just

1398
01:20:15,760 --> 01:20:21,120
Speaker 2: grab any number, could be big or small. Seven. Well,

1399
01:20:21,280 --> 01:20:23,360
Speaker 2: I wish you would have picked the number I higher. Well,

1400
01:20:23,400 --> 01:20:26,439
Speaker 2: twelve is the current number. Okay, seven, seven is a

1401
01:20:26,479 --> 01:20:30,479
Speaker 2: really whatever. The teams that are going to eight, nine, ten,

1402
01:20:30,560 --> 01:20:32,360
Speaker 2: eleven to twelve at thirteen are all going to argue

1403
01:20:32,360 --> 01:20:34,160
Speaker 2: whether or not they should be in that seven. If

1404
01:20:34,200 --> 01:20:37,040
Speaker 2: you pick thirty two, there's going to be arguments about it.

1405
01:20:37,720 --> 01:20:40,520
Speaker 2: My problem with picking so many is that it diminishes

1406
01:20:40,560 --> 01:20:43,639
Speaker 2: the regular season. I think it should be really hard

1407
01:20:43,680 --> 01:20:45,839
Speaker 2: to get into these things. I think that the NFL

1408
01:20:45,880 --> 01:20:49,799
Speaker 2: expanding their playoffs isn't a good thing. All these sports

1409
01:20:49,840 --> 01:20:52,400
Speaker 2: that make it so easy to get in the regular

1410
01:20:52,439 --> 01:20:56,719
Speaker 2: season is irrelevant. The NBA now with the ten teams

1411
01:20:56,760 --> 01:20:58,559
Speaker 2: make the playoffs. Some of them are on the play

1412
01:20:58,600 --> 01:21:01,320
Speaker 2: in tournament. The only point of the regular season is

1413
01:21:01,360 --> 01:21:03,800
Speaker 2: to not be so terrible that you don't make the playoffs.

1414
01:21:04,200 --> 01:21:06,960
Speaker 2: So teams play for five months when the real season

1415
01:21:07,000 --> 01:21:08,720
Speaker 2: only lasts four a couple of months when you go

1416
01:21:08,760 --> 01:21:13,200
Speaker 2: into the postseason. Anyway, Pavia is right because we have

1417
01:21:13,240 --> 01:21:16,240
Speaker 2: all of these conferences, and in order to craft the twelve,

1418
01:21:16,320 --> 01:21:19,240
Speaker 2: they do require that of the five of the four

1419
01:21:19,360 --> 01:21:24,799
Speaker 2: major conferences they get a guaranteed automatic bid. The winner

1420
01:21:24,880 --> 01:21:29,080
Speaker 2: of each of the four big conferences gets in of

1421
01:21:29,120 --> 01:21:32,400
Speaker 2: the five lesser top conferences. They call them the Group

1422
01:21:32,439 --> 01:21:35,960
Speaker 2: of five. There's a guarantee that one team, at least

1423
01:21:36,000 --> 01:21:38,960
Speaker 2: one team from the group of kive will get in,

1424
01:21:39,160 --> 01:21:41,920
Speaker 2: and there's a debate about who that should be. James

1425
01:21:41,920 --> 01:21:45,920
Speaker 2: Madison has had an outstanding season, but they're in one

1426
01:21:45,920 --> 01:21:49,760
Speaker 2: of the group of five leagues, and some people think

1427
01:21:49,800 --> 01:21:52,760
Speaker 2: that the team that wins the American Association Conference will

1428
01:21:52,800 --> 01:21:55,920
Speaker 2: get that bid rather than James Madison. With regard to

1429
01:21:56,360 --> 01:22:00,760
Speaker 2: Pavi's team, Vanderbilt, you have a league this year, the CC,

1430
01:22:01,479 --> 01:22:04,559
Speaker 2: that has only one good team, and there are several

1431
01:22:04,600 --> 01:22:07,600
Speaker 2: teams in the SEC that are better than everybody in

1432
01:22:07,640 --> 01:22:11,200
Speaker 2: the ACC. But because the ACC gets an automatic bid

1433
01:22:11,200 --> 01:22:13,400
Speaker 2: and you can only take so many teams from the SEC,

1434
01:22:14,240 --> 01:22:17,920
Speaker 2: Vanderbilt is on the outside looking in. And you could say, well,

1435
01:22:17,920 --> 01:22:20,240
Speaker 2: at least then the ACC, if it has the one

1436
01:22:20,280 --> 01:22:23,559
Speaker 2: good team, they'll get in. Except guess what, the only

1437
01:22:23,600 --> 01:22:26,400
Speaker 2: team that's really good in the ACC didn't make the

1438
01:22:26,479 --> 01:22:30,600
Speaker 2: ACC title game. Why when you have so many of

1439
01:22:30,600 --> 01:22:34,040
Speaker 2: these conferences with a zillion teams in them, you're gonna

1440
01:22:34,040 --> 01:22:36,799
Speaker 2: get a lot of ties. You might get say seven

1441
01:22:36,840 --> 01:22:39,120
Speaker 2: teams that are well, that's too high. Four teams that

1442
01:22:39,160 --> 01:22:41,520
Speaker 2: are seven to one, so you go to the tiebreaker.

1443
01:22:41,880 --> 01:22:44,920
Speaker 2: Every team lost the game, but Miami, which is the

1444
01:22:44,960 --> 01:22:48,800
Speaker 2: one good team in the ACC, they lost to. It

1445
01:22:48,880 --> 01:22:52,000
Speaker 2: might have been SMU. They lost to another team that

1446
01:22:52,080 --> 01:22:53,800
Speaker 2: was in the tiebreaker with them, and they end up

1447
01:22:53,800 --> 01:22:57,599
Speaker 2: not being eligible for the title game. Most people believe

1448
01:22:57,600 --> 01:22:59,719
Speaker 2: that the two best teams in the ACC are Miami

1449
01:22:59,760 --> 01:23:02,080
Speaker 2: and n You neither of them are on the title game.

1450
01:23:02,680 --> 01:23:05,799
Speaker 2: Virginia and Duke are, and there isn't a single person

1451
01:23:05,800 --> 01:23:07,800
Speaker 2: of things that Virginia or Duke has any chance to

1452
01:23:07,840 --> 01:23:10,719
Speaker 2: do anything in the college football playoffs. Turning our attention

1453
01:23:10,760 --> 01:23:12,880
Speaker 2: to the NFL, there's only one game that we need

1454
01:23:12,880 --> 01:23:14,799
Speaker 2: to focus on, and that's the Packers and the Bears.

1455
01:23:15,439 --> 01:23:19,160
Speaker 2: It is very interesting how heavily favored the Packers are.

1456
01:23:20,479 --> 01:23:22,799
Speaker 2: The Bears have the number one seed in the NFC,

1457
01:23:23,520 --> 01:23:27,280
Speaker 2: they're in first place in the Central Division, and they're

1458
01:23:27,280 --> 01:23:30,160
Speaker 2: on quite the winning streak. But they're not only underdogs

1459
01:23:30,160 --> 01:23:32,920
Speaker 2: of the Packers, they're underdogs by six and a half points,

1460
01:23:33,560 --> 01:23:37,000
Speaker 2: which has surprised a lot of people and raised eyebrows.

1461
01:23:37,360 --> 01:23:40,120
Speaker 2: On the other hand, prior to their win last week

1462
01:23:40,120 --> 01:23:44,599
Speaker 2: against Philadelphia, a team that might in reality be awful.

1463
01:23:46,360 --> 01:23:48,800
Speaker 2: The Bears have won so many close games in which

1464
01:23:48,840 --> 01:23:52,240
Speaker 2: they've been outgained, they still have been outscored on the year.

1465
01:23:52,800 --> 01:23:55,080
Speaker 2: The people that go by simply the numbers will look

1466
01:23:55,120 --> 01:23:57,160
Speaker 2: upon the Bears as an average team that has a

1467
01:23:57,160 --> 01:23:59,360
Speaker 2: lot of wins. The people that look at wins and

1468
01:23:59,400 --> 01:24:01,280
Speaker 2: losses say, who who cares what the numbers are? That

1469
01:24:01,320 --> 01:24:07,880
Speaker 2: team wins a lot. You've got a curious situation with

1470
01:24:07,920 --> 01:24:10,000
Speaker 2: the Packers and the Bears, and that they play twice

1471
01:24:10,080 --> 01:24:14,599
Speaker 2: in three weeks. If either team wins both of those games,

1472
01:24:14,680 --> 01:24:17,719
Speaker 2: it's almost mathematically impossible that they don't win the division

1473
01:24:18,400 --> 01:24:22,559
Speaker 2: if they split. The Packers in that situation, with getting

1474
01:24:22,560 --> 01:24:24,240
Speaker 2: a tie earlier in the year, will either come back

1475
01:24:24,280 --> 01:24:27,599
Speaker 2: to help or haunt them, depending on where the Bears are.

1476
01:24:29,160 --> 01:24:30,960
Speaker 2: I would be of the opinion that Green Bay will

1477
01:24:30,960 --> 01:24:33,720
Speaker 2: win the game. That's notwithstanding whether or not I think

1478
01:24:33,760 --> 01:24:35,639
Speaker 2: that they would cover a six and a half point spread.

1479
01:24:35,680 --> 01:24:38,400
Speaker 2: But I think that the Packers are a more complete

1480
01:24:38,520 --> 01:24:40,719
Speaker 2: team than the Bears, and I think that the Packers

1481
01:24:40,720 --> 01:24:44,560
Speaker 2: are playing much better now than they were earlier in

1482
01:24:44,600 --> 01:24:47,160
Speaker 2: the year. Still a very interesting game, and it's nice

1483
01:24:47,160 --> 01:24:49,880
Speaker 2: to once again have the Packers and the Bears playing

1484
01:24:49,920 --> 01:24:52,719
Speaker 2: in games that have a very high stakes. All right,

1485
01:24:52,920 --> 01:24:54,840
Speaker 2: that's enough of our preview. Let's get around to point

1486
01:24:54,840 --> 01:24:57,800
Speaker 2: spread picks for this week, and the recapping has just

1487
01:24:57,840 --> 01:25:00,280
Speaker 2: gotten for me to be. I started the season so

1488
01:25:00,360 --> 01:25:03,120
Speaker 2: well and I have just the only bright side I'll

1489
01:25:03,120 --> 01:25:05,200
Speaker 2: point out is I mentioned a lot that I'm in

1490
01:25:05,240 --> 01:25:07,160
Speaker 2: a contest with some friends and we all picked three

1491
01:25:07,200 --> 01:25:09,479
Speaker 2: games against the points spread. I did go two and

1492
01:25:09,560 --> 01:25:11,720
Speaker 2: one last week, and I went on went three to

1493
01:25:11,760 --> 01:25:14,280
Speaker 2: the preceding two weeks after starting the season on our

1494
01:25:14,320 --> 01:25:17,120
Speaker 2: show here six and two. I've been wrong about everything,

1495
01:25:17,160 --> 01:25:19,519
Speaker 2: but last week I just happened of the three games

1496
01:25:19,520 --> 01:25:22,280
Speaker 2: that I like to pick the wrong one. I thought

1497
01:25:22,360 --> 01:25:25,640
Speaker 2: Kansas State would beat Colorado by seventeen or more. They

1498
01:25:25,680 --> 01:25:29,160
Speaker 2: beat him decisively, but only by the ten, so I lost.

1499
01:25:29,360 --> 01:25:32,120
Speaker 2: Mike also lost. He's having an awful season with his

1500
01:25:32,160 --> 01:25:35,519
Speaker 2: picks on the air. He took Tulsa over UAB. That

1501
01:25:35,560 --> 01:25:38,800
Speaker 2: didn't work at all. Paul took the Bears seven point

1502
01:25:38,840 --> 01:25:40,960
Speaker 2: hunderdogs against the Eagles, and that was by far the

1503
01:25:40,960 --> 01:25:42,800
Speaker 2: best pick of the week, as the Bears won the

1504
01:25:42,800 --> 01:25:46,719
Speaker 2: game straight up. You got it? Was it nine points

1505
01:25:46,800 --> 01:25:50,240
Speaker 2: or eleven. I thought it was eleven, but maybe you're right. Yeah,

1506
01:25:50,280 --> 01:25:56,120
Speaker 2: the bear, wasn't it twenty six fifteen? You're probably right, Okay,

1507
01:25:56,200 --> 01:25:58,680
Speaker 2: I thought it was by eleven. Anyway, So those were

1508
01:25:58,720 --> 01:26:04,160
Speaker 2: the selections, and we're all underwater, and somehow I'm still ahead,

1509
01:26:04,200 --> 01:26:06,680
Speaker 2: but Paul's catching me. And anyway, for those of you

1510
01:26:06,800 --> 01:26:10,080
Speaker 2: interested in what ASA has going on this week Mike's company,

1511
01:26:10,120 --> 01:26:14,479
Speaker 2: go to ASA wins dot com. I don't want to

1512
01:26:14,520 --> 01:26:17,639
Speaker 2: oversell something, but I believe they won their college football

1513
01:26:17,640 --> 01:26:19,760
Speaker 2: game of the year this past week. And if I'm wrong,

1514
01:26:19,800 --> 01:26:22,080
Speaker 2: it's just a mistake. And my memory is a little fuzzy,

1515
01:26:22,120 --> 01:26:28,280
Speaker 2: but my recollection was that they did all right. Time

1516
01:26:28,320 --> 01:26:31,120
Speaker 2: for picks this weekend, there are nine college games. All

1517
01:26:31,160 --> 01:26:35,840
Speaker 2: of the conferences have their championship game. Every conference now

1518
01:26:36,200 --> 01:26:39,400
Speaker 2: has a championship playoff game, and following that the bowl

1519
01:26:39,439 --> 01:26:41,800
Speaker 2: games on the College Football Playoffs starts. So those nine

1520
01:26:41,840 --> 01:26:44,800
Speaker 2: games go on. Plus in the NFL, the buys are

1521
01:26:44,840 --> 01:26:48,000
Speaker 2: still going on. Four teams at buys. But that's the schedule,

1522
01:26:48,080 --> 01:26:52,720
Speaker 2: all right, get my sheet here, Paul, who started the

1523
01:26:52,760 --> 01:26:56,680
Speaker 2: season so terribly and has gotten hot. You're happy, You're

1524
01:26:56,720 --> 01:26:59,920
Speaker 2: only you're only half game up because I have fallen up.

1525
01:27:00,280 --> 01:27:03,160
Speaker 2: I mean if I just like was like Meadi yocre

1526
01:27:03,280 --> 01:27:05,280
Speaker 2: over the last few weeks, I'd be were running away

1527
01:27:05,280 --> 01:27:08,120
Speaker 2: from this because I started so strong. But I mean

1528
01:27:09,040 --> 01:27:11,200
Speaker 2: I started six and two. I'm now six seven and one.

1529
01:27:11,240 --> 01:27:13,080
Speaker 2: That means I'm on a run of er five and one.

1530
01:27:13,520 --> 01:27:16,880
Speaker 2: I managed to tie one of my picks in lose

1531
01:27:16,920 --> 01:27:22,000
Speaker 2: the other five. All right, which game you want the

1532
01:27:22,000 --> 01:27:26,120
Speaker 2: over under end? The spread on the Packer Bear game? Yeah,

1533
01:27:26,160 --> 01:27:28,320
Speaker 2: six and a half and the total is forty four

1534
01:27:28,320 --> 01:27:32,560
Speaker 2: and a half. And of course the game's in Green Bay.

1535
01:27:33,400 --> 01:27:42,200
Speaker 2: Paul thinks it's easy. Huh, Paul's thinking the Bears. Paul

1536
01:27:42,240 --> 01:27:44,439
Speaker 2: said the Packers could win by three or lose. Now

1537
01:27:44,520 --> 01:27:46,799
Speaker 2: politic the Bears last week. He's high on the Bears.

1538
01:27:48,000 --> 01:27:55,439
Speaker 2: Give me, give me your other reasons here. The Bear's

1539
01:27:55,479 --> 01:27:59,120
Speaker 2: average over one hundred fifty yards rushing. The Packers only

1540
01:27:59,280 --> 01:28:01,960
Speaker 2: injury of no now at the moment is they lost

1541
01:28:02,000 --> 01:28:06,559
Speaker 2: their best run stopper in Devonte Wyatt. Clearly that's an issue.

1542
01:28:06,560 --> 01:28:09,280
Speaker 2: And Wyatt is an example of one of those guys

1543
01:28:09,400 --> 01:28:12,160
Speaker 2: that you can't judge a first round draft choice the

1544
01:28:12,160 --> 01:28:15,080
Speaker 2: first two years because he was useless his first two seasons,

1545
01:28:15,439 --> 01:28:19,600
Speaker 2: but he's developed into well the best interior alignment, not

1546
01:28:19,640 --> 01:28:21,360
Speaker 2: the best line of the best in caurior alignment on

1547
01:28:21,360 --> 01:28:23,200
Speaker 2: the team. And he's out for the year and the

1548
01:28:23,200 --> 01:28:29,040
Speaker 2: Bears are running the ball very well. You're right, he

1549
01:28:29,120 --> 01:28:35,519
Speaker 2: thinks still control the clock by running the ball. Paul

1550
01:28:35,560 --> 01:28:38,080
Speaker 2: points out that William's passing stats are not that good.

1551
01:28:40,120 --> 01:28:43,400
Speaker 2: I think that their receivers are only okay. They're putting

1552
01:28:43,479 --> 01:28:45,400
Speaker 2: up a lot of points. They have the downside of

1553
01:28:45,880 --> 01:28:49,639
Speaker 2: not having the greatest receivers in the roum. They lead

1554
01:28:49,640 --> 01:28:52,599
Speaker 2: the end well. There are turnovers are unbelievable. They are

1555
01:28:52,640 --> 01:28:55,800
Speaker 2: off the charts in producing turnovers and not committing any.

1556
01:28:55,920 --> 01:28:58,360
Speaker 2: And there is no better factor to win a game

1557
01:28:58,720 --> 01:29:02,000
Speaker 2: than to Going back to the Packer game last week,

1558
01:29:02,240 --> 01:29:04,560
Speaker 2: I can tend the Packers are really plus five and

1559
01:29:04,600 --> 01:29:08,240
Speaker 2: turnovers because I think fourth down conversion or stop is

1560
01:29:08,280 --> 01:29:10,960
Speaker 2: the same as a turnover. Imagine if you fumbled the

1561
01:29:10,960 --> 01:29:13,000
Speaker 2: ball and third down and the other team recovered well,

1562
01:29:13,000 --> 01:29:15,280
Speaker 2: fourth down and the other team getting ball at that point,

1563
01:29:15,439 --> 01:29:18,479
Speaker 2: it is the effect of a turnover. I think all

1564
01:29:18,479 --> 01:29:21,439
Speaker 2: of those points are valid. I do think this. I

1565
01:29:21,439 --> 01:29:24,760
Speaker 2: think that the Packers defense is ten points better than

1566
01:29:24,800 --> 01:29:28,000
Speaker 2: the Bears defense. I'm still not so old on the

1567
01:29:28,000 --> 01:29:32,240
Speaker 2: Packer corners, but one of them has gotten better than

1568
01:29:32,280 --> 01:29:34,760
Speaker 2: he was earlier in the season, and the other one

1569
01:29:34,840 --> 01:29:37,760
Speaker 2: is okay. I think the Packer defense is much better.

1570
01:29:37,840 --> 01:29:41,840
Speaker 2: I think the Green Bay I think they've looked very

1571
01:29:41,880 --> 01:29:45,160
Speaker 2: good the last couple of weeks. I think the Packers

1572
01:29:45,160 --> 01:29:48,200
Speaker 2: will win. The thing about six and a half on

1573
01:29:48,240 --> 01:29:50,760
Speaker 2: a point spread is it's just like three. There are

1574
01:29:50,800 --> 01:29:53,719
Speaker 2: so many games in the NFL that end by exactly seven,

1575
01:29:53,800 --> 01:29:56,360
Speaker 2: and they can be really close. You can have a

1576
01:29:56,360 --> 01:29:59,160
Speaker 2: game seventeen to seventeen with a minute left and a

1577
01:29:59,160 --> 01:30:01,759
Speaker 2: team it's a forty five your touchdown pass and seven

1578
01:30:01,760 --> 01:30:03,680
Speaker 2: point win looks like a blow away when it was

1579
01:30:03,720 --> 01:30:07,080
Speaker 2: actually a very narrow game. So I just don't really know.

1580
01:30:07,520 --> 01:30:09,679
Speaker 2: Mike has sent us a pick, and he's been nice

1581
01:30:09,760 --> 01:30:11,599
Speaker 2: enough to give a long narrative on the pick, which

1582
01:30:11,640 --> 01:30:14,639
Speaker 2: I'm guessing his clients also get, so I'll just share it.

1583
01:30:14,680 --> 01:30:16,800
Speaker 2: Mike is looking at the game. I got to check

1584
01:30:16,840 --> 01:30:20,080
Speaker 2: our points spread on it here. Paul reminded me to

1585
01:30:20,120 --> 01:30:25,200
Speaker 2: do that and I didn't. Yeah, that's it. Seattle and Atlanta.

1586
01:30:26,880 --> 01:30:29,160
Speaker 2: I think Atlanta is maybe the most disappointing team in

1587
01:30:29,160 --> 01:30:33,000
Speaker 2: the NFC this year, don't you. They were thought to

1588
01:30:33,080 --> 01:30:36,000
Speaker 2: be very good and they're bad. And I would say

1589
01:30:36,680 --> 01:30:39,559
Speaker 2: maybe the most surprising team in the NFC is Seattle, right,

1590
01:30:41,280 --> 01:30:42,800
Speaker 2: just as I mean the most surprising team in the

1591
01:30:42,920 --> 01:30:44,920
Speaker 2: NFL is simple New England. New England is the best

1592
01:30:44,960 --> 01:30:48,960
Speaker 2: record in football and who saw that coming. That's just

1593
01:30:48,960 --> 01:30:51,040
Speaker 2: a function. And talk about this in the NBA all

1594
01:30:51,080 --> 01:30:53,680
Speaker 2: the time. When you're bad for several years, you get

1595
01:30:53,720 --> 01:30:56,920
Speaker 2: all those early draft picks and if you pick right, okay,

1596
01:30:56,920 --> 01:31:00,200
Speaker 2: they play. In the case of New England, you think

1597
01:31:00,200 --> 01:31:01,720
Speaker 2: the MVP is going to be I think it's Drake

1598
01:31:01,760 --> 01:31:08,880
Speaker 2: may right. I mean it's early to say, but you

1599
01:31:08,880 --> 01:31:11,600
Speaker 2: know he was the quarterback at North Carolina when they

1600
01:31:11,600 --> 01:31:13,000
Speaker 2: picked him in the first round of the draft, and

1601
01:31:13,040 --> 01:31:16,120
Speaker 2: he's having a spectacular season. Anyway, Mike's looking at the

1602
01:31:16,160 --> 01:31:18,599
Speaker 2: game between Seattle and Atlanta, and he's looking at the total,

1603
01:31:18,640 --> 01:31:21,080
Speaker 2: which is forty four and a half. And Mike's pick

1604
01:31:21,160 --> 01:31:23,240
Speaker 2: is on the over, and I'll just read what he

1605
01:31:23,280 --> 01:31:26,040
Speaker 2: wrote for us. Seattle has been held under twenty six

1606
01:31:26,080 --> 01:31:29,320
Speaker 2: points only once in their last six games, and that

1607
01:31:29,479 --> 01:31:32,360
Speaker 2: was against the Rams who have a good defense. Seattle

1608
01:31:32,439 --> 01:31:34,759
Speaker 2: is averaging twenty nine points per game on the season,

1609
01:31:34,800 --> 01:31:37,759
Speaker 2: which is fourth in the NFL. Last week, they scored

1610
01:31:37,800 --> 01:31:41,520
Speaker 2: twenty six versus Minnesota, but they held the Vikings scoreless,

1611
01:31:41,520 --> 01:31:43,559
Speaker 2: so there was no need to score more than that.

1612
01:31:44,120 --> 01:31:47,240
Speaker 2: The Seattle offense wasn't pushed to score at all last week.

1613
01:31:47,560 --> 01:31:50,360
Speaker 2: We think they'll be pushed to score this week versus Atlanta.

1614
01:31:50,880 --> 01:31:53,320
Speaker 2: Teams that come off a shutoff win shut out win

1615
01:31:53,640 --> 01:31:56,719
Speaker 2: tend to go over the following week, as we usually

1616
01:31:56,760 --> 01:31:58,720
Speaker 2: get a lower total than we should in that case.

1617
01:31:58,720 --> 01:32:01,400
Speaker 2: So what Mike's pointing out is because they're coming off

1618
01:32:01,400 --> 01:32:04,080
Speaker 2: a shutout last week, the total gets lowered by the

1619
01:32:04,080 --> 01:32:06,720
Speaker 2: odds makers a little bit, and it becomes artificially the

1620
01:32:06,800 --> 01:32:10,040
Speaker 2: point he's making. In fact, he has all these stats.

1621
01:32:10,080 --> 01:32:12,920
Speaker 2: These are interesting. NFL road teams who pitched a home

1622
01:32:12,960 --> 01:32:15,519
Speaker 2: shutout the previous week are thirteen and one to the

1623
01:32:15,600 --> 01:32:19,639
Speaker 2: over since twenty seventeen. Wow, Teams that are coming off

1624
01:32:19,680 --> 01:32:22,720
Speaker 2: a shutout win at home the following week, the game

1625
01:32:22,760 --> 01:32:26,640
Speaker 2: went over thirteen or fourteen times. That means that it

1626
01:32:26,680 --> 01:32:28,479
Speaker 2: won't go under this week. But that's quite the trend.

1627
01:32:29,040 --> 01:32:31,360
Speaker 2: Let's see what else does he have for us? Atlanta

1628
01:32:31,439 --> 01:32:34,160
Speaker 2: average is twenty three points per game at home this season,

1629
01:32:34,200 --> 01:32:36,160
Speaker 2: and they put up at least twenty three points in

1630
01:32:36,200 --> 01:32:39,800
Speaker 2: five straight games. They started the season going under the

1631
01:32:39,840 --> 01:32:42,120
Speaker 2: total and six of the first seven, but the Felcons

1632
01:32:42,120 --> 01:32:44,559
Speaker 2: have since gone over in four of their last five.

1633
01:32:45,000 --> 01:32:47,360
Speaker 2: Kirk Cousins is getting comfortable and has been solid the

1634
01:32:47,439 --> 01:32:49,679
Speaker 2: last two weeks in his starting role with four hundred

1635
01:32:49,720 --> 01:32:51,880
Speaker 2: and thirty three yards passing and completing over sixty six

1636
01:32:51,880 --> 01:32:54,639
Speaker 2: percent of his passes he goes on. But the point

1637
01:32:54,720 --> 01:32:58,080
Speaker 2: is is that Mike is suggests saying the over in

1638
01:32:58,160 --> 01:33:01,760
Speaker 2: Seattle and Atlanta? Whaty one and a half and I'm

1639
01:33:01,760 --> 01:33:05,600
Speaker 2: gonna go to You looked at all the games, right,

1640
01:33:07,360 --> 01:33:10,160
Speaker 2: what's the other big game in the NFL this weekend?

1641
01:33:11,160 --> 01:33:13,240
Speaker 2: And by the way, not the game fans? Do you

1642
01:33:13,360 --> 01:33:17,240
Speaker 2: realize that the game on Thanksgivings the highest regular season ever,

1643
01:33:17,320 --> 01:33:19,800
Speaker 2: the game between the Chiefs and the Cowboys. Now, part

1644
01:33:19,800 --> 01:33:22,960
Speaker 2: of that is the time. The mid afternoon Thanksgiving game

1645
01:33:23,240 --> 01:33:27,599
Speaker 2: is always huge ratings because you know the rating count

1646
01:33:27,600 --> 01:33:29,559
Speaker 2: if the TV is on and people are watching, and

1647
01:33:29,600 --> 01:33:32,479
Speaker 2: it's always right before, right after, even during since it's

1648
01:33:32,479 --> 01:33:35,320
Speaker 2: three and a half hours of Thanksgiving dinner. Nobody's out

1649
01:33:35,360 --> 01:33:37,080
Speaker 2: on the roads of those days and so on. In fact,

1650
01:33:37,120 --> 01:33:39,280
Speaker 2: the Packer game early at a huge rating as well.

1651
01:33:39,320 --> 01:33:43,439
Speaker 2: But people still think of the Chiefs and Cowboys as

1652
01:33:43,520 --> 01:33:46,679
Speaker 2: marquee teams. They're two five hundred teams, is all they are,

1653
01:33:48,560 --> 01:33:51,800
Speaker 2: Paul said, the Cowboys and the Lions. Well, you've got

1654
01:33:51,800 --> 01:33:54,559
Speaker 2: a third place team going against the second, the Cowboys

1655
01:33:54,600 --> 01:33:57,360
Speaker 2: and second. Yeah, they have to be because the Giants

1656
01:33:57,400 --> 01:34:00,840
Speaker 2: and Commanders think and they and Philadelphia I think, still

1657
01:34:00,920 --> 01:34:04,400
Speaker 2: leads as bad as they are. Yeah, the Eagles are, Well,

1658
01:34:04,439 --> 01:34:07,840
Speaker 2: that's a bad division this year, the East. I mean,

1659
01:34:07,880 --> 01:34:11,519
Speaker 2: it's just a marquee I see you miss this. I'm

1660
01:34:11,520 --> 01:34:13,439
Speaker 2: going between a game in which two first placed teams

1661
01:34:13,479 --> 01:34:15,000
Speaker 2: are playing each other, the tied for first in their

1662
01:34:15,040 --> 01:34:18,760
Speaker 2: own division. But they're not marquee teams because perception. It's

1663
01:34:18,800 --> 01:34:20,439
Speaker 2: just like the Patriots. Nobody thinks of them as a

1664
01:34:20,439 --> 01:34:22,280
Speaker 2: marquee team. They are the best record in the league.

1665
01:34:22,400 --> 01:34:24,600
Speaker 2: The Jaguars play the Colts. They're tied for first in

1666
01:34:24,640 --> 01:34:27,559
Speaker 2: the NFC South. They're both eight and four. I mean,

1667
01:34:28,920 --> 01:34:34,360
Speaker 2: who which are they are tied? The Ravens and Steelers

1668
01:34:34,360 --> 01:34:37,920
Speaker 2: are both. That's another they're tied for first. Huh boy,

1669
01:34:38,000 --> 01:34:42,479
Speaker 2: another division that's just a quagmire of mediocrity. Then you

1670
01:34:42,600 --> 01:34:44,639
Speaker 2: have the end, I mean the NFC North, the only

1671
01:34:44,720 --> 01:34:48,400
Speaker 2: poor team Clinton, the Minnesota In the NFC West, Arizona's

1672
01:34:48,439 --> 01:34:50,680
Speaker 2: not even that bad, into the only poor team. You've

1673
01:34:50,680 --> 01:34:54,160
Speaker 2: got several divisions really strong and others that are terrible. Anyway,

1674
01:34:54,200 --> 01:34:58,600
Speaker 2: We're going to the NFC South game. Indianapolis is playing Jacksonville.

1675
01:34:58,600 --> 01:35:00,200
Speaker 2: As I say, it's a dead heat for the lead.

1676
01:35:00,840 --> 01:35:04,840
Speaker 3: What did you say AFC, AFC South If I said

1677
01:35:04,920 --> 01:35:08,679
Speaker 3: NFC that was clearly a mistake, which Paul quickly jumps

1678
01:35:08,720 --> 01:35:11,280
Speaker 3: on to correct me, and he'll probably correct my pick

1679
01:35:11,320 --> 01:35:12,840
Speaker 3: here since I've been wrong for about a month.

1680
01:35:12,840 --> 01:35:14,679
Speaker 2: I've been wrong, literally for a month and a half.

1681
01:35:14,880 --> 01:35:17,160
Speaker 2: The game is in Jacksonville, but the Colts on the

1682
01:35:17,200 --> 01:35:19,240
Speaker 2: road are favored by one and a half. You probably

1683
01:35:19,240 --> 01:35:21,599
Speaker 2: didn't even think about the game, did you. Now, I

1684
01:35:21,640 --> 01:35:24,719
Speaker 2: admit I'm just not a cold streak. And there's fewer

1685
01:35:24,760 --> 01:35:27,040
Speaker 2: games to pick from this week in college and so on,

1686
01:35:27,520 --> 01:35:33,400
Speaker 2: and what Paul's guessing, I'm taking the Colts. All year,

1687
01:35:33,439 --> 01:35:36,400
Speaker 2: people have been pointing out that the Jaguar statistically aren't

1688
01:35:36,400 --> 01:35:38,400
Speaker 2: that good. They were winning a lot of close games.

1689
01:35:38,880 --> 01:35:44,040
Speaker 2: I'm taking Jacksonville. This is reversed over the last several weeks.

1690
01:35:44,200 --> 01:35:49,680
Speaker 2: The Colts have crashed to earth and Jacksonville is as

1691
01:35:49,720 --> 01:35:53,720
Speaker 2: hot as any team in the NFL. I think in

1692
01:35:53,760 --> 01:35:58,120
Speaker 2: this case, perception has not yet caught up to reality. Well.

1693
01:35:58,160 --> 01:36:00,360
Speaker 2: I don't think home field and manages manage just for

1694
01:36:00,439 --> 01:36:02,920
Speaker 2: much of anything in the NFL. The reality is Jacksonville

1695
01:36:02,920 --> 01:36:05,600
Speaker 2: is at least at home. But let me read Jacksonville's

1696
01:36:05,600 --> 01:36:11,480
Speaker 2: most recent games. They had their bye in late October.

1697
01:36:11,560 --> 01:36:14,720
Speaker 2: Since then, they went to Las Vegas and they beat

1698
01:36:14,760 --> 01:36:17,280
Speaker 2: the Raiders. They then played a Houston team which is

1699
01:36:17,320 --> 01:36:19,680
Speaker 2: really improved and lost to them by ten, followed by

1700
01:36:20,120 --> 01:36:23,640
Speaker 2: they beat the Chargers by twenty nine, and then the

1701
01:36:23,720 --> 01:36:26,520
Speaker 2: last two weeks were on the road, admittedly poor competition,

1702
01:36:26,600 --> 01:36:28,400
Speaker 2: but on the road they beat the Cardinals twenty seven

1703
01:36:28,439 --> 01:36:30,360
Speaker 2: to twenty four, and they beat Tennessee, the worst team

1704
01:36:30,360 --> 01:36:32,720
Speaker 2: in the league, by twenty two. So you have a

1705
01:36:32,760 --> 01:36:35,800
Speaker 2: Jacksonville team that's gotten very, very hot Offensively, they're putting

1706
01:36:35,840 --> 01:36:39,360
Speaker 2: up very good numbers right now with Lawnsick quarterback, and

1707
01:36:39,400 --> 01:36:43,160
Speaker 2: they're taking on an Indie team that is really cooled off.

1708
01:36:43,720 --> 01:36:47,240
Speaker 2: Indianapolis last week lost to Houston, admittedly a close game.

1709
01:36:47,280 --> 01:36:49,200
Speaker 2: The week before that they lost to the Chiefs. Now

1710
01:36:49,200 --> 01:36:52,080
Speaker 2: you can say, well, again, that's the Chiefs, true, but

1711
01:36:52,120 --> 01:36:54,479
Speaker 2: the Chiefs are a five hundred team, So I think

1712
01:36:54,520 --> 01:36:56,280
Speaker 2: you have a team that has improved and is the

1713
01:36:56,280 --> 01:36:59,040
Speaker 2: better team right now getting a tiny amount of points

1714
01:36:59,080 --> 01:37:02,360
Speaker 2: one and a half. The only other game I thought

1715
01:37:02,400 --> 01:37:05,519
Speaker 2: of is we're talking earlier about the Ohio State Indiana game.

1716
01:37:05,640 --> 01:37:08,840
Speaker 2: Very hard to figure because they're both unbeaten. Ohio State's

1717
01:37:08,880 --> 01:37:11,760
Speaker 2: favored by four, and I thought of taking Indiana just

1718
01:37:11,800 --> 01:37:14,200
Speaker 2: because this seems to me the teams, based in everything

1719
01:37:14,240 --> 01:37:16,720
Speaker 2: we've seen, are even. It's just a hard game to

1720
01:37:16,760 --> 01:37:18,920
Speaker 2: read because they don't have many common opponents and they're

1721
01:37:18,920 --> 01:37:21,840
Speaker 2: both slaughtering everybody. So flip the coin and I would

1722
01:37:21,840 --> 01:37:24,080
Speaker 2: have leaned Indiana. But instead of doing that, I'm going

1723
01:37:24,120 --> 01:37:25,479
Speaker 2: to take the one game I had any kind of

1724
01:37:25,479 --> 01:37:28,080
Speaker 2: an opinion on. I think Jacksonville's going to win the

1725
01:37:28,080 --> 01:37:30,519
Speaker 2: game straight up in a very close game, but I'm

1726
01:37:30,520 --> 01:37:32,479
Speaker 2: getting the margin. I'm getting a point and a half

1727
01:37:32,479 --> 01:37:34,880
Speaker 2: of points isn't much, but I'll take it. All right,

1728
01:37:34,920 --> 01:37:39,800
Speaker 2: recapping all of our picks here, Paul is taking the

1729
01:37:39,800 --> 01:37:42,080
Speaker 2: Bears to cover the six and a half points. I

1730
01:37:42,120 --> 01:37:44,280
Speaker 2: hope you're wrong. Wouldn't it be great if the Packers

1731
01:37:44,280 --> 01:37:46,840
Speaker 2: won by thirty seven? Oh? Yeah, I know. I'd be

1732
01:37:46,840 --> 01:37:49,960
Speaker 2: happy about that too. The only downside of that is

1733
01:37:50,200 --> 01:37:52,040
Speaker 2: there is some history that if you kill a team,

1734
01:37:52,080 --> 01:37:54,320
Speaker 2: you have to play them back again. That whole revenge

1735
01:37:54,360 --> 01:37:57,879
Speaker 2: thing comes in. I don't know if that matters anyway.

1736
01:37:58,479 --> 01:38:00,639
Speaker 2: By the way, the Packer game is a late afternoon

1737
01:38:00,680 --> 01:38:08,439
Speaker 2: game on Sunday, Well, they've got a marquee game. It's

1738
01:38:08,439 --> 01:38:10,960
Speaker 2: actually not as important a game because it's non conference,

1739
01:38:10,960 --> 01:38:15,160
Speaker 2: although the Packers tiebreakers don't. Yeah, that will as well.

1740
01:38:15,160 --> 01:38:17,200
Speaker 2: But the Packers played Denver, one of the best teams

1741
01:38:17,240 --> 01:38:20,679
Speaker 2: in the AFC, next week, and that's a look ahead

1742
01:38:20,720 --> 01:38:22,880
Speaker 2: game because the following week they've got the Bears again,

1743
01:38:22,920 --> 01:38:25,040
Speaker 2: and that's the soldier field, all right. Paul says the

1744
01:38:25,040 --> 01:38:27,040
Speaker 2: Bear is to either beat the Packers and lose by

1745
01:38:27,040 --> 01:38:30,200
Speaker 2: six or less. Mike says, the Falcons and Seahawks score

1746
01:38:30,320 --> 01:38:33,240
Speaker 2: more than forty four points forty four and a half points,

1747
01:38:33,600 --> 01:38:36,320
Speaker 2: and I'm taking the Jaguars to either beat the colts

1748
01:38:36,800 --> 01:38:40,840
Speaker 2: or lose by one or tied. Those are a picks.

1749
01:38:40,920 --> 01:38:42,920
Speaker 2: That's the podcast for this week, back then another one

1750
01:38:42,960 --> 01:38:43,400
Speaker 2: on Monday.

1751
01:38:46,520 --> 01:38:50,520
Speaker 1: The Mark Belling Podcast is a production of iHeartRadio Podcasts.

1752
01:38:50,720 --> 01:38:54,439
Speaker 1: Production and engineering by Paul Crownforest. The Mark Belling Podcast

1753
01:38:54,560 --> 01:38:58,480
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1754
01:38:58,680 --> 01:39:02,240
Speaker 1: U line has everything and visit you line dot com.

1755
01:39:02,520 --> 01:39:05,960
Speaker 1: Listen to all of Mark's podcasts, always available on the

1756
01:39:06,040 --> 01:39:09,960
Speaker 1: iHeartRadio app, Apple Podcasts, or wherever you listen to your

1757
01:39:10,040 --> 01:39:11,160
Speaker 1: favorite podcasts.