Latest / The Mark Belling Podcast / Mark Belling Podcast #116: Backlash grows against AI but the tech is here to stay. A story from a small town near Madison demonstrates how government overspending is dooming blue states. And, we'll have an analysis of "champagne socialism."

Transcript

Mark Belling Podcast #116: Backlash grows against AI but the tech is here to stay. A story from a small town near Madison demonstrates how government overspending is dooming blue states. And, we'll have an analysis of "champagne socialism." · The Mark Belling Podcast

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Speaker 2: There is a lot being made right now about what's
0:30
Speaker 2: happening in blue states versus red states. A red state,
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Speaker 2: a pure red state would be a state in which
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Speaker 2: the government is totally controlled by the Republicans. You have
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Speaker 2: a Republican governor and both houses a legislature a Republican
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Speaker 2: and a blue state would be the opposite. Wisconsin isn't
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Speaker 2: a blue state or a red state. We have a
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Speaker 2: Democratic governor and a Republican legislature now, but we certainly
0:57
Speaker 2: have the potential to become either a blue or a
1:00
Speaker 2: red state after the November election. To the extent that
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Speaker 2: we are blue, however, we are backsliding, and I've got
1:14
Speaker 2: several examples. That's going to be the theme of the
1:16
Speaker 2: first segment of today's podcast. For those of you who
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Speaker 2: don't listen to who aren't from Wisconsin, I want you
1:22
Speaker 2: to listen to this because these things apply everywhere. The
1:25
Speaker 2: specific examples are merely going to be from Wisconsin. We're
1:29
Speaker 2: going to start with one story from one part of
1:34
Speaker 2: Wisconsin that is blue, and I'm going to use it
1:39
Speaker 2: as an example of how flawed liberal thinking is and why,
1:45
Speaker 2: in the end, making decisions based on this thinking always,
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Speaker 2: not most of the time, always leads to disaster. This
1:58
Speaker 2: is one of those stories that I talk about all
2:00
Speaker 2: the time as a perfect story in and of itself.
2:02
Speaker 2: It's interesting, but it raises so many larger points that
2:07
Speaker 2: we're going to get to that one in just a
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2:44
Speaker 2: A listener brought this story to my attention. That happens
2:48
Speaker 2: from time to time people find something in the news
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Speaker 2: and they think it's not getting sufficient coverage, and they
2:54
Speaker 2: think it'd be right up my alley. A lot of
2:56
Speaker 2: times they're not right at my alley. This one is
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Speaker 2: right up my alley. The story comes from a community
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Speaker 2: called McFarland. McFarland is right outside of Madison. It's in
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Speaker 2: Dane County. It's one of those communities that you know
3:16
Speaker 2: has grown because state government grows, the university grows, and
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Speaker 2: then you have the whole Dane County has going because
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Speaker 2: of Epic, the giant medical records company which has come
3:29
Speaker 2: to dominate that industry. So McFarland is one of those communities.
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Speaker 2: This is where the story comes from. And I'm going
3:37
Speaker 2: to walk through it a little slowly, but do it
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Speaker 2: in a way that I think you'll quite it interesting.
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Speaker 2: The edge of McFarland. I'll remember, McFarland is outside of
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Speaker 2: Madison in Dane County. Now we're going outside of McFarland,
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Speaker 2: right past the village limits of McFarland. It's a town,
3:56
Speaker 2: and there is in that town again right on the
3:59
Speaker 2: edge of the border. McFarland undeveloped like largely rural property.
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Speaker 2: It's land that's just sitting there. Dane County has bought
4:23
Speaker 2: the land. The land is in a community called the
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Speaker 2: Town of Dunn. It's not in McFarland, but McFarland and
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Speaker 2: the Town of Dunn have a joint land use agreement
4:35
Speaker 2: in place where McFarland manages the growth of tracts of
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Speaker 2: lands like this. So the land isn't in McFarland, but
4:45
Speaker 2: if somebody wanted to do something with the land, McFarland
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Speaker 2: would probably annex it so that the economic development and
4:51
Speaker 2: the services that would occur there would be provided by McFarland.
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Speaker 2: This sort of thing is going on in every suburban
4:58
Speaker 2: area in the United States. Where you've got communities that
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Speaker 2: are outside a suburban area, something may develop over there
5:05
Speaker 2: and often an annexation will be involved. But whether it
5:09
Speaker 2: is or it isn't. There's this piece of land that,
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Speaker 2: as I say, is outside of McFarland and it's in
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Speaker 2: the town of Dunn. Dane County. Now that's the county,
5:19
Speaker 2: that's the entire region, that's the city of Madison, and
5:22
Speaker 2: then all of these smaller communities that are around Madison.
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Speaker 2: Dane County has decided to buy this tract of land.
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Speaker 2: They're going to use Dane County property tax money to
5:38
Speaker 2: buy the land. It's six point four million dollars. It's
5:41
Speaker 2: not that large of a tract of land. The story
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Speaker 2: here is reported by the Leader Independent, which is a
5:47
Speaker 2: newspaper an online newspaper, and I think they have prededictions
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Speaker 2: that serve many of the communities in Dane County outside
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Speaker 2: of Madison. The area and I'll describe from the story.
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Speaker 2: The land in question is separated by US Highway fifty one,
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Speaker 2: with forty three acres west of the highway and south
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Speaker 2: of Bible Camp Road and just over one hundred and
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Speaker 2: twenty one acres east of the highway. There is about
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Speaker 2: two hundred and fifty feet of shoreline along Lake Wabisa,
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Speaker 2: so the entire acreage involved is about one hundred and
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Speaker 2: sixty five acres. Dane County's board has decided to buy
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Speaker 2: the land for six point four million dollars. McFarland did
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Speaker 2: not know they were going to do it. Now. Remember
6:51
Speaker 2: McFarland is a community in Dane County. You could just
6:55
Speaker 2: use the example for any of the counties that you
6:57
Speaker 2: live in. The county goes in buys this land that
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Speaker 2: is adjacent to your community and doesn't tell you about it. Now,
7:05
Speaker 2: remember McFarland also has a land use agreement with the
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Speaker 2: Town of Dunn, the community in which the property is located.
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Speaker 2: So suddenly this land is now under the ownership of
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Speaker 2: Dan County. The taxpayers of Dane County have paid six
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Speaker 2: point four million dollars for this one hundred and sixty
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Speaker 2: five acres. They bought the land from a trust, the
7:33
Speaker 2: Stuart Harrow and Mary Stuart Harrow family trust. So the
7:37
Speaker 2: land is a family trust and the heirs apparently are
7:43
Speaker 2: well ready to sell and they're getting a lot of
7:45
Speaker 2: money for two hundred and sixty excuse me, one hundred
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Speaker 2: and sixty five acres. Six point four million dollars is
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Speaker 2: a lot of money, and in fact, as McFarland is
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Speaker 2: pointing out, it's way more than land is going for
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Speaker 2: in that area. So not only to Day County buy
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Speaker 2: the land, they apparently paid well above market rates for it.
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Speaker 2: The McFarland community is very, very upset about this because
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Speaker 2: they weren't even consulted. Here's another government, a government that's
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Speaker 2: part of their you know, their community is in there
8:17
Speaker 2: that government going in and buying the land. Now you're
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Speaker 2: probably wondering, why does Dane County want to buy the land.
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Speaker 2: One thing I need to explain to those of you
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Speaker 2: who are not from Wisconsin, Dane County as Madison, this
8:31
Speaker 2: is one of the most liberal counties in America. And
8:35
Speaker 2: that's not hyperbole. The voting patterns in Dan County are
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Speaker 2: as blue as anywhere you can find in this country.
8:45
Speaker 2: It's also a community that is immune from a lot
8:48
Speaker 2: of economic pressures because the two big employers are government.
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Speaker 2: There's the state government and then the University of Wisconsin
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Speaker 2: main campus in Madison, and that's a huge university in
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Speaker 2: addition to the regular city governments. And there are also
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Speaker 2: a lot of healthcare facilities there. And then, to their
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Speaker 2: great fortune, in the southwestern corner of the community of Verona,
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Speaker 2: has this giant company, Epic has grown. So the area
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Speaker 2: is economically booming. It's hard not to boom when you
9:22
Speaker 2: are both a state capital and a university town. And
9:25
Speaker 2: then they got the cherry on it with Epic growing
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Speaker 2: and turning into this monstrously huge company. In the meantime,
9:34
Speaker 2: now you've got Dane County buying this tract of land
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Speaker 2: one hundred and sixty five acres just outside of McFarland.
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Speaker 2: Why would a county by land. This is actually, I'm
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Speaker 2: not going to say unheard of, but this is very rare.
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Speaker 2: I can't think, for example, of the last time Milwaukee
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Speaker 2: County bought land. Every now and then they're like, there
9:58
Speaker 2: was always been the Milwauke County Grounds, but that land
10:01
Speaker 2: was always in the control of Milwaukee County. And then
10:04
Speaker 2: there's Milwaukee County Parks, but they've always been controlled by
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Speaker 2: Milwaukee County. Occasionally municipalities will buy land, or a school
10:14
Speaker 2: district will buy land to put up a new school.
10:17
Speaker 2: But in this case, the county bought the land. Now,
10:19
Speaker 2: think about what counties do. Often the county runs an airport,
10:23
Speaker 2: and that's the case in Dane County of Milwaukee County.
10:26
Speaker 2: The county runs the airport. If you have a zoo,
10:28
Speaker 2: they run the zoo. In Madison's case, I think the
10:30
Speaker 2: city actually runs the zoo. Why would they need this land?
10:36
Speaker 2: You have to think like a leftist. You really have
10:39
Speaker 2: to think like a leftist. Jason, do you want to
10:44
Speaker 2: take a stab at it? Oh? I got Dave in here.
10:46
Speaker 2: I've got tag teaming producers today, Dave is producing. Yeah,
10:50
Speaker 2: why do you think dank? Now? You got to think
10:52
Speaker 2: like a leftist. Why would they just spend one hundred
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Speaker 2: and sixty five million excuse me, six million dollars to
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Speaker 2: buy one hundred and sixty five acres of land outside
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Speaker 2: of McFarlane to resell it to make ah I told
11:03
Speaker 2: you to think like a liberal. Now you're thinking like Trump.
11:06
Speaker 2: Now you're thinking about like what a normal person would do.
11:09
Speaker 2: I mean, I now want you to imagine the exact opposite. See,
11:13
Speaker 2: this is the problem that now you're gonna try to writ,
11:15
Speaker 2: you know, reconfigure yourself and call it audible. And who understood
11:19
Speaker 2: that you've made the exact wrong decision. No, for the
11:22
Speaker 2: perspective of liberal, if they actually were going to sell
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Speaker 2: the land and resell it to make money for the Caspiers,
11:27
Speaker 2: perhaps this could be defensible. Now you're getting somewhere Dane
11:35
Speaker 2: County is buying the land and giving it away. This
11:41
Speaker 2: defines sweetheart deal. Now you may be thinking, and every
11:47
Speaker 2: now and then you'll see, for example, a community in
11:50
Speaker 2: a debate in West Bend and a couple of other
11:52
Speaker 2: places in which they'll buy land and then sell it
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Speaker 2: to a developer who's going to do economic development. They're
11:58
Speaker 2: put up a factory, put up housing, stuff, like that. No,
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Speaker 2: Daan County's buying the land because they don't want it
12:06
Speaker 2: ever to be developed. Now, that is not always a
12:12
Speaker 2: terrible idea. Just because there can be growth doesn't mean
12:16
Speaker 2: that there always should be. And we've seen in some
12:18
Speaker 2: of our suburbs that they have been too pro growth.
12:21
Speaker 2: In particular, I think when you keep chasing residential housing
12:24
Speaker 2: and put in lots of subdivisions, you're just driving up
12:26
Speaker 2: your tax space. By creating need for more schools and
12:30
Speaker 2: so on, you screw up the nature of what your
12:32
Speaker 2: community was. So there can be too much growth, and
12:39
Speaker 2: sometimes it's good to just have green space. The smartest
12:43
Speaker 2: thing New York City ever did was years ago they
12:46
Speaker 2: set aside all of that land of Central Park to
12:48
Speaker 2: be a giant park in the middle of Manhattan. Is
12:50
Speaker 2: a great thing. So it's not always necessarily a bad
12:54
Speaker 2: idea to try to have areas set aside as green space.
12:59
Speaker 2: Other than you've got to remember that almost all of
13:03
Speaker 2: Dane County has been growing forever. I remember I worked
13:08
Speaker 2: there from nineteen eighty six to nineteen eighty nine. Middleton
13:10
Speaker 2: was a pretty good sized town. Then you should see
13:12
Speaker 2: Middleton right now. Another one, Fitchburg our radio station. I
13:17
Speaker 2: was there was we're in Fitchburg or on the edge
13:19
Speaker 2: of Fitchburg. Fitchburg was like it was a big town.
13:22
Speaker 2: I had a bunch of farms and there was like
13:24
Speaker 2: three street. There weren't much going on. They just say
13:26
Speaker 2: Fitchburg now. But again, this is all of Dane County
13:29
Speaker 2: for all the reasons that I mentioned before. It is
13:30
Speaker 2: growing in terms of population, and I haven't seen any
13:35
Speaker 2: of the lefties and Dan County stop this from happening.
13:39
Speaker 2: So why are they now buying this land out from
13:43
Speaker 2: underneath the village of mcfireland without telling McFarland that they
13:48
Speaker 2: were going to do it, Because they don't want it
13:51
Speaker 2: to be developed. So they spent six million dollars to
13:55
Speaker 2: buy land that they will not develop. But are they
13:58
Speaker 2: going to keep the land themselves? For example, are they're
14:01
Speaker 2: going to declare it Dane County Parkland. No, they are
14:04
Speaker 2: now giving it away. I'd say, I want you to
14:10
Speaker 2: guess who they're giving it away to. Unless you have
14:12
Speaker 2: been dependent knowledge of this, how would you ever get
14:14
Speaker 2: it other than I'll give you a hint. They're giving
14:18
Speaker 2: it to somebody that has a lot of money that
14:21
Speaker 2: could have bought it themselves. They're giving it to the
14:24
Speaker 2: ho Chunk. No, see, No, there's Dave going on. Dave again,
14:30
Speaker 2: trying to think like some sort of business. They're giving
14:32
Speaker 2: it to the ho Chunk for a casino. No, it's
14:35
Speaker 2: not gonna be developed. They said they don't want it
14:37
Speaker 2: to be developed. Now I question whether or not they
14:41
Speaker 2: can enforce this. It's not gonna be developed when you
14:43
Speaker 2: give it to a tribe. Because tribes are sovereign nations,
14:46
Speaker 2: and they may have control of their own land. As
14:47
Speaker 2: we've seen in northern Wisconsin. They think that they control
14:50
Speaker 2: the lakes there and can stop somebody from coming in
14:52
Speaker 2: and fishing. They're closing off roads because they're opposed to
14:55
Speaker 2: a road that services the entire region. It runs through
14:57
Speaker 2: the tribe they're closing off. They're closing off that anyway,
15:00
Speaker 2: they're giving it to the ho Chunk, and would say
15:03
Speaker 2: that they're giving it to ho Chunk because they believe
15:05
Speaker 2: that there's like some burial grounds or something there. First
15:08
Speaker 2: of all, just about all of North America is an
15:11
Speaker 2: Indian burial ground because in that time they didn't always
15:15
Speaker 2: have cemetery. Somebody died, they put them into the ground.
15:19
Speaker 2: So they're giving it to the ho Chunk nation and
15:25
Speaker 2: they're going to like oversee it. So this is where
15:31
Speaker 2: the story becomes a teaching moment. The Dane County government
15:38
Speaker 2: itself is fifteen million dollars in debt despite all the
15:43
Speaker 2: property growth that they have there and the extremely high
15:45
Speaker 2: property taxes in Madison. That particular government, the county government
15:50
Speaker 2: is spending so much money that their budget is already unbalanced.
15:54
Speaker 2: And when they're already in debt, they find an extra
15:57
Speaker 2: six million dollars to go and buy this land that
16:01
Speaker 2: was basically sitting around not doing much of anything, meaning
16:04
Speaker 2: that it can't be developed in the future. McFarland can't
16:07
Speaker 2: an exit try to encourage development. It can't be used
16:09
Speaker 2: for housing, it can't be used for anything that's light industrial.
16:13
Speaker 2: It can't even be used by McFarland to make a park.
16:16
Speaker 2: So they buy it up and then give it away. Now,
16:19
Speaker 2: if their argument is that some of this land that
16:22
Speaker 2: the people that are buried there are the archaeological sites,
16:25
Speaker 2: were ho Chunk, then why can't the whole Chunk by
16:27
Speaker 2: the land. The whole Chunk cribe has a fortune. Ho
16:34
Speaker 2: Chunk is the only tribe in Wisconsin that doesn't have
16:38
Speaker 2: a physical reservation. The whole Chunk have this belief, and
16:42
Speaker 2: it's cut into the treaties that they have with the
16:44
Speaker 2: government that the whole state of Wisconsin essentially is their
16:47
Speaker 2: tribal land, unlike the other tribes, that if they want
16:51
Speaker 2: to build a casino, it has to be on land
16:52
Speaker 2: that they can prol that they either have purchased or
16:55
Speaker 2: as part of their reservation. The hole Chunk they operate
16:59
Speaker 2: these smoke shops, and they operate Bengal casinos all over
17:01
Speaker 2: the state of Wisconsin, and initiated their giant casino and
17:05
Speaker 2: beearable just outside Wisconsin. Dell's suffice to say that the
17:08
Speaker 2: ho Chunk cribe has a fortune. They're very heavy advertisers
17:12
Speaker 2: and marketers, and they're advertising all their businesses all the time.
17:17
Speaker 2: So why does Nan County need to buy this thing
17:19
Speaker 2: and give it to the ho Chunk. If the ho
17:21
Speaker 2: Chunk wanted it, why couldn't they buy it themselves. This
17:28
Speaker 2: is why blue states fail when you're spending money like this.
17:34
Speaker 2: This isn't a necessity, it's barely even a want. This
17:41
Speaker 2: is something that the government there just did because we
17:44
Speaker 2: feel like doing it. Let's throw another sloppy way. And
17:48
Speaker 2: I guarantee you that there was lobbying from the ho
17:50
Speaker 2: chunk on this. The woe chucker probably figured, why should
17:53
Speaker 2: we spend six million dollars for this land. We're just
17:55
Speaker 2: gonna let the taxpayers do it for us and gift
17:57
Speaker 2: it to us. And again, if you can find a
18:00
Speaker 2: bunch of lefties dumb enough to spend six million dollars
18:03
Speaker 2: and give you the land for, why spend your own money?
18:07
Speaker 2: The question, of course is why would the government do it?
18:09
Speaker 2: And the answer is because they're leftists. So when you
18:12
Speaker 2: do this kind of completely unnecessary, ridiculous spending. And remember
18:16
Speaker 2: now this also means your tax base isn't going to
18:19
Speaker 2: grow because they're not allowed to develop the land, So
18:22
Speaker 2: you're spending money to make sure that the land never
18:25
Speaker 2: generates any tax ever. And the only way that you
18:30
Speaker 2: can keep doing all of the spending is to keep
18:32
Speaker 2: raising your property taxes and raising your property taxes and
18:35
Speaker 2: raising your property taxes. I've heard this question asked so
18:41
Speaker 2: many times. How is it that some states, some of
18:44
Speaker 2: these red states, can have such low taxes but seem
18:48
Speaker 2: to have the same services as the high tax states.
18:53
Speaker 2: I spend a few months a year in Florida. Florida
18:55
Speaker 2: doesn't even have an income tax. The Florida property taxeseople,
19:00
Speaker 2: they're bitching about them, but they're lower than they are here.
19:03
Speaker 2: I'm telling you, there's parks all over the place. Down there,
19:06
Speaker 2: there's all sorts of land that doesn't generate anything. You've
19:09
Speaker 2: ever heard of, the Everglades. They've got zillions of public universities,
19:15
Speaker 2: all of our universities that are under one umbrella. They've
19:17
Speaker 2: got numerous government run universities, University of Florida System, Florida
19:21
Speaker 2: State University System, Florida International Self. These they're all all
19:25
Speaker 2: government public universities, so they seem to have all of
19:28
Speaker 2: the same kinds of services. They have roads all over
19:31
Speaker 2: the place. True, they don't have to put up with
19:32
Speaker 2: road salt, but they have to deal with the damage
19:34
Speaker 2: of hurricanes. But the taxes are lower. And the difference
19:38
Speaker 2: is simply in states that are red. States that are
19:41
Speaker 2: many that are ape. First of all, by not having
19:44
Speaker 2: an income tax, it means they don't have income tax
19:47
Speaker 2: money to spend. In the case of Wisconsin, because governments
19:50
Speaker 2: have all of this tax money. Therefore they have it
19:53
Speaker 2: and they will spend it. So the tax burden keeps
19:58
Speaker 2: getting greater and greater and great and when the governments
20:00
Speaker 2: are asked to cut, we can't cut. Well, the reason
20:03
Speaker 2: you can't cut is you just you just blew the
20:05
Speaker 2: six million dollars buying this farmland and giving it away
20:08
Speaker 2: to a tribe that is worth millions and millions of dollars.
20:14
Speaker 2: So McFarland is griping about this. The member of the
20:17
Speaker 2: county board who represents McFarland. McFarland's officials are saying, we
20:21
Speaker 2: asked the county board member who represents her or in
20:23
Speaker 2: the county board, was the county going to be buying
20:25
Speaker 2: this land? And he said no. Three months later they
20:29
Speaker 2: bought the land. So this supervisor lied to them. He
20:33
Speaker 2: lied to the community he represents. He was asked about
20:36
Speaker 2: this by this newspaper the I think I quoted the
20:38
Speaker 2: name Herald Leader, I believe, and he said, I forgot
20:42
Speaker 2: to tell him. My bad. They asked him, is the
20:46
Speaker 2: county going to be buying the land? He said no,
20:48
Speaker 2: I haven't heard anything about that. Then they buy the land.
20:52
Speaker 2: Leader Independent is the name of the newspaper. Then they
20:54
Speaker 2: buy the land. Oh yeah, I guess when it came up.
20:56
Speaker 2: I guess I went back. I forgot to go back
20:58
Speaker 2: and tell McFarland. Well, of course if got to go
21:00
Speaker 2: and do that, because McFarland would have raised Holy hell,
21:03
Speaker 2: because they don't want this land sold out from underneath them.
21:06
Speaker 2: This story is a perfect case study of why taxes
21:16
Speaker 2: are higher in liberal states. It's because the money is
21:20
Speaker 2: spent by things that a bunch of dilettantish public officials
21:23
Speaker 2: want to spend it on that does nothing to contribute
21:27
Speaker 2: to the public good, has nothing to do with necessity,
21:30
Speaker 2: does very little to affect anyone's quality of life. Furthermore,
21:36
Speaker 2: it's very, very possible that if this tribe, the ho Chunk,
21:39
Speaker 2: wanted that land badly enough, it would have bought it
21:41
Speaker 2: on its own. Let me move to another story that
21:47
Speaker 2: I think has some relevancy. There's going to be three
21:52
Speaker 2: in this segment that I mentioned. Everybody knows I did
21:56
Speaker 2: this story briefly a few months ago on the podcast
21:58
Speaker 2: last year, but new study now that expands about it.
22:03
Speaker 2: Everybody knows that across the United States, learning suffered during
22:08
Speaker 2: the COVID lockdowns. Some school districts were closed for in
22:12
Speaker 2: person learning for a year, others did the hybrid thing.
22:16
Speaker 2: Some reopened real quickly, but across the board, Wisconsin schools
22:21
Speaker 2: were slower to reopen than many other states, in part
22:24
Speaker 2: because the two largest school districts stayed on lockdown very long,
22:29
Speaker 2: Milwaukee and Madison. Milwaukee public schools were locked down months
22:34
Speaker 2: after all the private schools had kids back in same
22:38
Speaker 2: thing happened in Madison. The Lefty Teachers Union has a
22:41
Speaker 2: lot of clout. The teachers didn't want to come back
22:43
Speaker 2: into the classroom they had at home learning for a
22:46
Speaker 2: long time, well over a year past. When COVID hit,
22:50
Speaker 2: not surprisingly, the test scores scra just cratered. This is
23:02
Speaker 2: not an indictment of the in home learning. It's an
23:06
Speaker 2: indictment of people who didn't know how to do in
23:08
Speaker 2: home learning doing in home learning. I actually wonder if
23:11
Speaker 2: I was a kid, would I have benefited from in
23:13
Speaker 2: home learning. I know that for example, in our company,
23:16
Speaker 2: when they do training where you watch the video and
23:18
Speaker 2: so on, I'm very good I pick up on that
23:19
Speaker 2: stuff when there isn't a distraction of anything going on
23:22
Speaker 2: in the you know, I would think that if it's
23:26
Speaker 2: got to be hard for a lot of kids to
23:27
Speaker 2: be in a classroom where there's people that are checking
23:29
Speaker 2: their computers, and people are being disruptive, and all these
23:32
Speaker 2: distractions going on. Maybe learning in a properly put together
23:35
Speaker 2: lesson plan in a computer would be a beneficial way.
23:39
Speaker 2: Except these public schools that switched to it had never
23:42
Speaker 2: done it. They didn't have anything set up, there was
23:44
Speaker 2: no infrastructure to do it. They just turned on the computer,
23:49
Speaker 2: put a zoom cam on. The teacher who puts on
23:51
Speaker 2: a few things, tells the kids to do a couple
23:53
Speaker 2: of things. And the kids were mostly screwing off, and
23:56
Speaker 2: the teachers weren't doing any follow up on up on,
24:00
Speaker 2: and a lot of the futures got to goldbrick for
24:02
Speaker 2: a year. And of course they wanted to keep it
24:04
Speaker 2: that way. They don't like their jobs, they like sitting
24:06
Speaker 2: on their asses. And they did, and we see the result.
24:10
Speaker 2: The test scores crashed. And the thing with a year
24:16
Speaker 2: of loss learning, it's not like when you come back,
24:20
Speaker 2: you'll go back. You know, let's suppose a school closed
24:22
Speaker 2: for a year and a half. When you come back,
24:24
Speaker 2: it's not like you go back and relearn that year
24:26
Speaker 2: and a half. You never ever catch up. So what
24:32
Speaker 2: has happened over the last several years is Gradually the
24:37
Speaker 2: test scores have started to move back up, but they
24:39
Speaker 2: are in almost all cases lower than they were before
24:43
Speaker 2: the pandemic. In other words, crash slight recovery, but still lower.
24:48
Speaker 2: In other words, the long term damage to this generation
24:52
Speaker 2: is irreversible because of the terrible decision that was made
24:56
Speaker 2: to close schools to protect kids from the virus. But
25:00
Speaker 2: they didn't get it was all in attempt to allow
25:06
Speaker 2: the teachers to use their fear of COVID, and teachers
25:09
Speaker 2: were some of those that were most terrified of COVID. Well,
25:15
Speaker 2: I shouldn't have to die to teach kids. There are
25:16
Speaker 2: all sorts of jobs in which you may die, you know.
25:19
Speaker 2: I noticed that none of the other jobs that actually
25:21
Speaker 2: people kept going in every day had to worry about dying.
25:24
Speaker 2: And how many people under the age of fifty were
25:26
Speaker 2: dying from COVID Almost none. But because we appease them,
25:31
Speaker 2: we set back learning all of this time. But here's
25:33
Speaker 2: where the news story comes in. I mentioned that pretty
25:37
Speaker 2: much across the board, there's recovery in these test scores
25:40
Speaker 2: now that we're away from COVID, but we just haven't
25:42
Speaker 2: gotten back to where we were before COVID. Hit. Wisconsin's rebound, however,
25:49
Speaker 2: has been one of the worst in the country. I
25:53
Speaker 2: want you to imagine that we've got every state is
25:55
Speaker 2: a ball, and we're dropping the ball off of rough
26:00
Speaker 2: that's twenty five feet in the air, but all the
26:02
Speaker 2: balls are made of different materials. Remember super balls. You're
26:08
Speaker 2: not as old as me. You remember super They didn't
26:10
Speaker 2: last that long. The super Ball came in. What I
26:13
Speaker 2: was like in the fifth grade and like everybody had
26:16
Speaker 2: a have whatever. However high a ball would bounce before
26:19
Speaker 2: the super Bowl came in. The super Bowl bounced like
26:22
Speaker 2: nineteen thousand times higher. It was unbelievable. You bounced that
26:25
Speaker 2: thing hard enough. I mean they could hit the moon.
26:28
Speaker 2: I actually think the super Ball is where the name
26:30
Speaker 2: super Bowl came from. I think it was Lamar Hunt
26:33
Speaker 2: of the Kansas City Chiefs his kid at a Super
26:36
Speaker 2: Bowl and he was using that tournament. It occurred to
26:38
Speaker 2: Lamar Hunt to call the super Bowl the super Bowl
26:40
Speaker 2: because he heard a super Bowl anyway, So you've got
26:44
Speaker 2: like the super Bowl. Now imagine some mushy, wet, flat basketball.
26:49
Speaker 2: They're going to rebound back after being dropped at different levels.
26:53
Speaker 2: Our test scores went splat hardly any bounce back or
26:59
Speaker 2: recovery at all. Again, you can go to the whole
27:08
Speaker 2: blue state red state thing. I think one of the
27:11
Speaker 2: reasons the recovery is not that great is because we
27:15
Speaker 2: had some of the larger school districts stay closed for
27:20
Speaker 2: so long. Every extra week that you stayed closed, or
27:23
Speaker 2: every time in which you stayed more on hybrid than
27:25
Speaker 2: going to full in class learning, the recovery is going
27:29
Speaker 2: to be slower because you lost more time. There has
27:37
Speaker 2: never been a proper accounting for the public health officers
27:44
Speaker 2: and the public health leaders local and national who pushed
27:47
Speaker 2: these lockdowns. I don't believe a single public health official
27:51
Speaker 2: in the state of Wisconsin has been fired for pushing
27:53
Speaker 2: these lockdowns. I don't think one of them ever bucked
27:55
Speaker 2: the advice from the CDC and Fauci. Fauci himself is
27:59
Speaker 2: still not been criminally charged, but clearly it's water over
28:06
Speaker 2: the dam. We made terrible mistakes in COVID, and one
28:10
Speaker 2: of the things that we did is we damage the
28:12
Speaker 2: psyche of the kids and screwed up their learning. What
28:16
Speaker 2: we see, though, is the bounce back and the recovery
28:19
Speaker 2: from that has been better in most places than it
28:22
Speaker 2: is in Wisconsin. There's a lot of theories on this,
28:28
Speaker 2: and I said, first of all, the obvious one is
28:30
Speaker 2: most of the states that it bounced back more than
28:32
Speaker 2: us were the ones that stayed locked down for a
28:34
Speaker 2: lesser period of time. But also this a lot of
28:38
Speaker 2: bad habits developed in the education system during COVID. A
28:42
Speaker 2: lot of these teachers got used to the not having
28:44
Speaker 2: to do much teaching, and a lot of the school
28:45
Speaker 2: administrators liked the idea of relying on video, and a
28:53
Speaker 2: whole lot of the practices that were in place in
28:57
Speaker 2: classrooms before COVID never fully returned. Look at the whole
29:04
Speaker 2: radicalization that's going on among teachers, the embrace of all
29:08
Speaker 2: this gender stuff. The teacher in Waukeshaw who sued over
29:13
Speaker 2: the school district refusing to allow her to sing LGBTQ
29:17
Speaker 2: songs in school. This became the priority of educators. They
29:22
Speaker 2: were emboldened after they got their way over COVID. They
29:26
Speaker 2: were emboldened during the years that Biden was in charge.
29:29
Speaker 2: They were embolded when the gender crap was shoved down
29:32
Speaker 2: our throats, and when they were doing all of those
29:35
Speaker 2: things that meant that they weren't doing teaching moved to
29:40
Speaker 2: my third of the three stories that I want to
29:42
Speaker 2: do with regard to the whole blue state red state thing.
29:47
Speaker 2: One of the most fascinating phenomena in policing of my
29:52
Speaker 2: life is going on right now following there has been
29:59
Speaker 2: a push for this for time, but especially after George Floyd.
30:03
Speaker 2: There was the case in Missouri. Prior to that than
30:08
Speaker 2: George Floyd, a number of them have come up, but
30:11
Speaker 2: there was a major push, almost entirely from the left
30:16
Speaker 2: and from racial advocates to make police officers wear body cameras.
30:23
Speaker 2: There no shit was the cops are out there brutalizing
30:26
Speaker 2: people all the time, and in particularly they're brutalizing people
30:29
Speaker 2: of color, and there are all these unjustified shootings. Got
30:33
Speaker 2: didn't do anything in the shoot him. Guy isn't resisting
30:36
Speaker 2: and they beat the hell out of him, so we
30:39
Speaker 2: were told. So they demanded that we get body cameras
30:44
Speaker 2: on all of the police officers. It was a major
30:47
Speaker 2: push of the left. A lot of police agencies were resisted.
30:55
Speaker 2: You know, a lot of the police unions are thinking
30:58
Speaker 2: all these are going to do is they're going to
30:59
Speaker 2: be used. Its ammunition to fire our people. A cop
31:03
Speaker 2: who shows slight excessive use of forestale exaggerated police officers
31:09
Speaker 2: are going to be afraid to pull out their guns
31:10
Speaker 2: and shoot if the video could show that it's any
31:13
Speaker 2: kind of a gray area, They're going to hesitate. Hesitate.
31:15
Speaker 2: It's going to cost their lives. And many of the
31:17
Speaker 2: police organizations themselves oppose the bodycams, but the argument went
31:24
Speaker 2: out and across the country. Department after department after the
31:27
Speaker 2: department went to bodycams. So we have a case right
31:31
Speaker 2: now in the United States of your department either has
31:34
Speaker 2: body cams or it does it. In some cases they
31:36
Speaker 2: equipped some officers with body cams, but not the detectives,
31:41
Speaker 2: not the people that I run out on patrol duty
31:43
Speaker 2: and so on. There's no national standard, and I don't
31:47
Speaker 2: know this, but I don't think any state has required them.
31:50
Speaker 2: It's possible they have, but usually it's a local decision.
31:54
Speaker 2: Your police department or your sheriff's department either does it
31:57
Speaker 2: or doesn't do it. In some cases they have dash
32:01
Speaker 2: cams on the squads, but not necessarily body cams on
32:05
Speaker 2: the uniforms. So there's no standard at all. It's all
32:08
Speaker 2: over the map. What has happened with the body cams
32:16
Speaker 2: is the exact opposite of what the left had thought.
32:22
Speaker 2: Leftists thought that these body cams would expose the brutality
32:26
Speaker 2: of the American police officer. Instead, the body cams have
32:32
Speaker 2: again and again and again and again and again exonerated
32:35
Speaker 2: the police officers and often have proven the guilt of
32:42
Speaker 2: the offender or the outrageous behavior of the offender. You
32:51
Speaker 2: either view these things on YouTube or you do it them.
32:53
Speaker 2: When I say either do or you do it, YouTube
32:55
Speaker 2: has an algorithm, so if you watch certain types of
32:57
Speaker 2: videos on the feed that they create for you, there's
33:00
Speaker 2: going to be more of those types of videos. So
33:02
Speaker 2: if you watch police bodycam videos, you watch more police
33:05
Speaker 2: bodycam videos because YouTube seedes that you watch them, so
33:08
Speaker 2: they put up more and more and more of them. Anyway,
33:12
Speaker 2: there is now a cottage industry of entrepreneurs who have
33:15
Speaker 2: created companies for the purpose of showing police bodycam videos.
33:22
Speaker 2: And some of them they're just run by AI. AI
33:25
Speaker 2: puts the thing together and the narrator is not even
33:27
Speaker 2: a human being, it's AI. And it's pretty easy to
33:30
Speaker 2: tell which ones are AI and which ones aren't. And
33:33
Speaker 2: once they're out there, somebody might steal them from the
33:35
Speaker 2: original one that puts it up and through their own
33:37
Speaker 2: version of the bodycam. But there are others that do
33:41
Speaker 2: extremely high production value. They'll splice together nine or two.
33:46
Speaker 2: If there's ten police officers involved, they'll splice together nine
33:50
Speaker 2: or ten body cams, four or five dash cams, intersperse this,
33:54
Speaker 2: put in really creative narration, clean it all up, and
33:58
Speaker 2: they'll produce this. As these are professionally done documentaries. These
34:02
Speaker 2: are better than those forty eight hours documentaries that they do.
34:04
Speaker 2: There's a company called Midwest Safety that every time they
34:10
Speaker 2: create one of their videos they're getting keen to fifteen
34:13
Speaker 2: million views. They're putting a lot of effort into doing
34:17
Speaker 2: these that are very very well done, but they can
34:19
Speaker 2: only do it in the communities that have bodycams. And
34:24
Speaker 2: as I say, what the body cams are doing in
34:26
Speaker 2: many instances is humiliating the individual involved. And we've had
34:31
Speaker 2: all sorts of cases that people would not have necessarily
34:34
Speaker 2: thought but become fodder for this bodycam industry. A domestic call.
34:39
Speaker 2: Police officers respond to a call where husband and wife
34:43
Speaker 2: are fighting with one another. The cops show up, and
34:48
Speaker 2: whoever the person in the wrong is, it starts screaming
34:51
Speaker 2: and yelling at the cops. Those videos are being shown
34:55
Speaker 2: people pulled over for drug driving instead of handing over
34:58
Speaker 2: their license take in the drunk test. Some of them
35:02
Speaker 2: are showing unbelievable belligerence and resisting of arrest. Maybe it's
35:08
Speaker 2: just the ones that the YouTube that the companies that
35:10
Speaker 2: are producing the videos are showing, But an inordinate number
35:13
Speaker 2: of the people that are object to the police pulling
35:16
Speaker 2: them over are women, And there seem to be a
35:18
Speaker 2: lot of women that just freak out at the notion
35:20
Speaker 2: of being thrown into the back of a squad car
35:22
Speaker 2: and being hauled to jail for drunk driving. No, I
35:24
Speaker 2: suspect most people just comply because they're not going to
35:27
Speaker 2: show the video of the person Okay, I'm drunk and
35:29
Speaker 2: goes and sits on the back of the car. There's
35:30
Speaker 2: nothing interesting about that. But if you fight like crazy
35:33
Speaker 2: and yell and scream and make all sorts of comments
35:35
Speaker 2: to the cops and wish everybody dead, they're going to
35:38
Speaker 2: show them. So you have people who have essentially ruined
35:42
Speaker 2: their lives whether their behavior when interacting with police officers. Now,
35:49
Speaker 2: if you're drunk or you're on drugs, obviously you're not
35:51
Speaker 2: thinking clearly. But you would think after all this time,
35:55
Speaker 2: now that this is out there, that people would know
35:58
Speaker 2: that if a cop pulls you over, you can't give
36:00
Speaker 2: them lip anymore. You can't do any of this stuff
36:02
Speaker 2: because if you do, there's a good chance and it's
36:04
Speaker 2: gonna be slapped up on YouTube. But this thought process
36:06
Speaker 2: apparently doesn't occur to people. Now I know why. Let's
36:13
Speaker 2: imagine Jason gets pulled over by a cop and cusses
36:19
Speaker 2: the cop of Blue Streak and gets out of the
36:20
Speaker 2: car and fights at the cop and shoves them around
36:23
Speaker 2: and all of that. You may ask yourself, how does
36:26
Speaker 2: some company like and these companies just have generic names
36:29
Speaker 2: like Bodycam Video or Midwest Safety, how do they know
36:33
Speaker 2: to get that bodycam of your interaction with the cop?
36:36
Speaker 2: How do they know that you have no idea? Well,
36:40
Speaker 2: I'm gonna tell you how they know it. The cops
36:42
Speaker 2: tip them off. If let's imagine you're a cop and
36:45
Speaker 2: somebody and the cops, because the cops now know they're
36:48
Speaker 2: on body cams. And I think that this has improved
36:51
Speaker 2: the behavior of police as well. I'm sure in the
36:53
Speaker 2: past that there are cops who might have gotten in
36:55
Speaker 2: an additional soccer might have talked like smart asses to
36:58
Speaker 2: the individuals that are being pulled over, But the cops
37:00
Speaker 2: know that they're on bodycam, and the people that don't
37:03
Speaker 2: think about the body camera off and the people that
37:05
Speaker 2: are being that are the subjects here. So if you've
37:07
Speaker 2: got somebody that's a complete idiot to you or somebody
37:10
Speaker 2: that's throw you know, there's a couple of prominent officials
37:13
Speaker 2: back east that got caught. I think an assistant attorney
37:16
Speaker 2: general in Delaware maybe here one of those states. They
37:19
Speaker 2: caught in this. The cop will tip off one of
37:21
Speaker 2: these editors and say, hey, make an open records requests
37:23
Speaker 2: for this. It's really good. How else would they know
37:26
Speaker 2: about which cases to go and seek the videos out right?
37:30
Speaker 2: It's been a great thing. People that have been behaving
37:34
Speaker 2: terribly are exposed for their conduct. People who are making
37:39
Speaker 2: false allegations that the cop fondle them or the cop
37:42
Speaker 2: abuse them, the cop is being cleared and the person
37:45
Speaker 2: is exposed for this. It's also I think eliminated much
37:50
Speaker 2: of the misconduct that might have occurred in the past
37:52
Speaker 2: from police officers because they now know that there's going
37:55
Speaker 2: to be video proof their own video that they were
37:58
Speaker 2: in the wrong. So this has become an incredible tool
38:02
Speaker 2: for law enforcement and the worst thing that's ever happened
38:06
Speaker 2: to crooks, and the worst thing that's ever happened to
38:09
Speaker 2: people that are smartened off to cops and so on.
38:13
Speaker 2: You now have numerous criminal defense attorneys saying that they
38:16
Speaker 2: wish that these body cams weren't out there. In other words,
38:19
Speaker 2: rather than exposing the cops, the body cams almost across
38:25
Speaker 2: the board are making the police look good, and they're
38:28
Speaker 2: exposing the persons that police had contact with. It's quite
38:33
Speaker 2: the twist in the story. Here's where I'm going with this.
38:38
Speaker 2: We have here in southeastern Wisconsin numerous police agencies that
38:43
Speaker 2: do not yet have body cams. This is my blue state,
38:47
Speaker 2: red state as an example, and I'm gonna cite this
38:52
Speaker 2: as an example because I was attempted to the way
38:55
Speaker 2: I found out that this agency doesn't have body cams
38:57
Speaker 2: is I sought the body cams and I was told
39:01
Speaker 2: we don't have them. There was a case that occurred.
39:04
Speaker 2: I won't mention the specific case, but it was in
39:06
Speaker 2: Wakashawk County that I wanted to get the bodycam video
39:09
Speaker 2: of because I wanted to post it myself. It turns
39:13
Speaker 2: out the only had dash cam video because the Wakashaw
39:16
Speaker 2: County Sheriff's Department does not have bodycams. So the interrogation
39:20
Speaker 2: that went on at the Sheriff's department is not available
39:22
Speaker 2: in any of the interaction with the suspect is not available.
39:24
Speaker 2: So how the suspect actually behaved we don't know because
39:27
Speaker 2: there is no body cam. The Wakashaw County Sheriff's Department
39:33
Speaker 2: is one of the larger law enforcement agencies in the
39:35
Speaker 2: state of Wisconsin. To me, it is unconscionable that they
39:38
Speaker 2: don't have bodycams. This is the era that we are
39:41
Speaker 2: now in. This is a tremendous tool for law enforcement.
39:45
Speaker 2: It's also has significant ability to help show the violation
39:49
Speaker 2: committed by the lawbreaker, and it protects the police officers
39:55
Speaker 2: or the sheriff's deputies themselves. So when I watch all
39:59
Speaker 2: these videos YouTube, it's because the communities involved all have
40:02
Speaker 2: the bodycams. People have been wondering why there are so
40:05
Speaker 2: many bodycam videos from Florida and Texas and the answer
40:12
Speaker 2: is now, those are two red states because they have
40:14
Speaker 2: been the most aggressive states in terms of getting the
40:18
Speaker 2: funding for the body cams. Here in Wisconsin, we have
40:23
Speaker 2: all sorts of communities that don't yet have body cams.
40:27
Speaker 2: But we're able to go out and buy one hundred
40:29
Speaker 2: and sixty acres of land and give it away to
40:31
Speaker 2: a rich Indian prime It's again all a matter of
40:35
Speaker 2: your priorities. The pressure to go to bodycams and the
40:40
Speaker 2: left stopped the moment that the lefties realized that this
40:44
Speaker 2: idea of body cams is backfiring on them now that
40:47
Speaker 2: the body cams are doing pretty much nothing other than
40:51
Speaker 2: show how bad the crooks are and what police officers
40:56
Speaker 2: have to put up with, and the patients these officers
40:58
Speaker 2: have with the belligerents that they're confronted with. There's been
41:01
Speaker 2: no desire on the part of the left at all
41:03
Speaker 2: to go in this direction. Now. In the Waukeshaw County case,
41:07
Speaker 2: I am told that Sheriff Severson wants the county board
41:11
Speaker 2: to fund the body camps for him. The county board
41:13
Speaker 2: believes that the sheriff should be able to take his
41:15
Speaker 2: existing budget and do it. The sheriff believes that this
41:17
Speaker 2: would mean that he'd have to cut the jobs of deputies.
41:20
Speaker 2: I will point out again that Waukeshaw County is a
41:23
Speaker 2: rather conservative county, and the priorities in terms of the
41:26
Speaker 2: spending there are completely screwed up, as they are almost everywhere,
41:30
Speaker 2: and they're even more screwed up in the blue counties
41:34
Speaker 2: in Wisconsin. I don't have an actual chart or a survey.
41:38
Speaker 2: Somebody would have to do it, and I would think
41:40
Speaker 2: one of the public interests thing tanks in Wisconsin ought
41:43
Speaker 2: to do it. Maybe makaiver would do it. Contact every
41:47
Speaker 2: law enforcement agency in the state you have body cams
41:50
Speaker 2: or not, and put up a chart and post it
41:51
Speaker 2: online so we know who does and who does it.
41:55
Speaker 2: For the ones that want to say that this is well,
41:56
Speaker 2: it's just too costly to go ahead and do it,
41:59
Speaker 2: ask yourselves how some of these two bit towns in
42:01
Speaker 2: Georgia and Florida and Texas, and how are they able
42:04
Speaker 2: to do it? Like if you see a video of
42:10
Speaker 2: people acting up at the airport, they're almost always the
42:13
Speaker 2: Dallas Airport, the Houston Airport, or among the airports in Florida.
42:19
Speaker 2: People say, well, is it Are those the only airports
42:21
Speaker 2: people act up? And no, those are the only airports
42:23
Speaker 2: in which the officers of patrol of the airports are
42:25
Speaker 2: wearing bodycabs. You could only seek bodycam video of areas
42:30
Speaker 2: in which the cops are wearing the bodycabs. You're listening
42:36
Speaker 2: to the Markpelling podcast. This is the Markpelling podcast. There's
42:43
Speaker 2: a story out there that I think kind of almost
42:46
Speaker 2: everybody knows what was going on, but hardly anybody knows
42:49
Speaker 2: exactly what the details were. I'm not going to dive
42:52
Speaker 2: into the tails and depths, but I want to comment
42:55
Speaker 2: on it briefly and launch them into something else. It
42:57
Speaker 2: was this whole lawsuit of elon My versus open Ai.
43:03
Speaker 2: Open ai, whose big product is chat Gypt, was created
43:08
Speaker 2: initially as almost the charity. It was created as a nonprofit,
43:13
Speaker 2: and the idea was the chatchpt would embrace AI artificial
43:22
Speaker 2: intelligence and then give the technology away to anybody that
43:28
Speaker 2: wanted it. It's sort of in other words, would be
43:31
Speaker 2: the nonprofit that would advance the science and advance the capabilities.
43:36
Speaker 2: It was funded by tech companies, and then once it
43:38
Speaker 2: was created, anybody would be able to grab it and
43:41
Speaker 2: use it. And Musk himself was one of the initial
43:48
Speaker 2: funders of open ai. All right, open ai gets started.
43:56
Speaker 2: It's got this guy Sam Altman who's running it, and
43:58
Speaker 2: again it's created an initial as a nonprofit and OpenAI
44:03
Speaker 2: creates their first product, chat GPT and it works really well.
44:09
Speaker 2: And because it works really well, it initially shows signs
44:14
Speaker 2: of being a monstrous money maker, a huge cash cow.
44:21
Speaker 2: But remember they were a nonprofit. So Sam Oltman and
44:26
Speaker 2: the people on the board at open Ai decide, well,
44:31
Speaker 2: I don't think we're going to be a nonprofit anymore.
44:33
Speaker 2: They convert to a for profit mode. This is what
44:38
Speaker 2: led to Musk's lawsuit. Musk essentially said that a fraud
44:42
Speaker 2: was committed by getting the people who kicked in the
44:44
Speaker 2: money to start this being told it would be a
44:46
Speaker 2: nonprofit that everybody would share in the proceeds, and instead
44:50
Speaker 2: the money that they he and others financed this with
44:54
Speaker 2: became a profit making company for the individuals who ended
44:57
Speaker 2: up running the whole thing. The lawsuit, the jury ruled
45:03
Speaker 2: against Musk, but not on the merits. They ruled that
45:06
Speaker 2: the statute of limitations had passed. If that's true, I
45:10
Speaker 2: don't understand why Musk's lawyers would have brought this. They're
45:13
Speaker 2: going to appeal, But in the analysis that I've heard
45:15
Speaker 2: from the lawyers on TV, one of the things that courts,
45:18
Speaker 2: just the appeals courts don't have. Return is the statute
45:21
Speaker 2: of limitations. Statute of limitations has passed, the statute of
45:24
Speaker 2: limitations has passed. That he didn't file the suit in time,
45:27
Speaker 2: that a period of time had passed beyond his investment,
45:30
Speaker 2: or passed whenever it was that they did that, he
45:32
Speaker 2: objected to it and didn't file the lawsuit in time,
45:35
Speaker 2: so the jury just dismissed it and ruled against him
45:37
Speaker 2: without ruling actually on the merits. Very briefly, we see
45:44
Speaker 2: this in a different way in healthcare. Almost all, not all,
45:50
Speaker 2: almost all the major healthcare companies in the United States
45:53
Speaker 2: are nonprofits. Here in the Milwaukee area, the hospital companies
45:58
Speaker 2: that we have Aurora in Madison, UW Madison Hospitals, who
46:04
Speaker 2: through all of them, they're all nonprofit. Yet despite the
46:12
Speaker 2: fact that they are nonprofit, they are involved in intense
46:17
Speaker 2: competition to make a buck. Now, their argument is we
46:23
Speaker 2: just take the profits that we make and funnel it
46:25
Speaker 2: back into the operation. Nobody actually gets the profit. But
46:31
Speaker 2: if it was truly a nonprofit that was created for
46:33
Speaker 2: the public good, they wouldn't be all that hellbend on
46:37
Speaker 2: who gets what market share you know, if you've got
46:42
Speaker 2: and they're not direct, they don't do the same thing.
46:44
Speaker 2: But I'm just gonna use this to make a point.
46:46
Speaker 2: Goodwill in the Salvation Army they do different things, but
46:50
Speaker 2: they're both aimed at helping out poor people. Goodwill is
46:52
Speaker 2: more of people with disabilities. The Salvation Army is more
46:55
Speaker 2: for low income people, but they operate thrift shops and
46:58
Speaker 2: so on, saying Vincent DePaul is another one that does
47:00
Speaker 2: that in different forms. Normally, if you're a good Will
47:05
Speaker 2: and you see that the Salvation Army is expanding to
47:07
Speaker 2: provide help to other people, that'd be a good thing. Okay,
47:10
Speaker 2: they're doing their thing and we can't do as much
47:12
Speaker 2: of that, or vice versa. But in the healthcare business,
47:15
Speaker 2: these nonprofits compete with one another really aggressively. And that's because,
47:22
Speaker 2: as I've said many times, there's a lot of profit
47:24
Speaker 2: to be made in the nonprofit world. The salaries are enormous.
47:30
Speaker 2: The people who run these institutions make a lot of money.
47:37
Speaker 2: So getting back now to the example of open AI,
47:41
Speaker 2: the point that Musk makes if something is set up
47:44
Speaker 2: to be a nonprofit and then they turn around to
47:47
Speaker 2: gory it operated as a profit making institution. Let's think
47:54
Speaker 2: of the example now of the Green Bay Packers. The
47:57
Speaker 2: Green Bay Packers are a nonprofit organization, but the Green
48:01
Speaker 2: Bay Packers have employees who make millions and millions and
48:05
Speaker 2: millions of dollars. There isn't an owner that gets the profits.
48:10
Speaker 2: That's the only reason it's not considered to be a nonprofit.
48:14
Speaker 2: There isn't the you know, I'm a shareholder of the Packers,
48:17
Speaker 2: numerous Packer fans. By these shares, you don't get a
48:19
Speaker 2: Danny gibnting, you don't get any money back. And if
48:21
Speaker 2: the Packers wherever sold, you wouldn't get the proceeds of it.
48:25
Speaker 2: The money is plowed back into the company. But the
48:29
Speaker 2: Packers compete very hard against for profit companies, and there
48:32
Speaker 2: are people who work for the Packers who make a fortune.
48:34
Speaker 2: So when people hear the word nonprofit, they tend to
48:36
Speaker 2: think of, well, these are people that are doing things
48:39
Speaker 2: because of the incredible need that's offered. No, no, no, no,
48:41
Speaker 2: there's a lot of money involved in this, which brings
48:45
Speaker 2: me to the next part of the AI thing. We
48:48
Speaker 2: have in the United States right now a rebellion growing
48:53
Speaker 2: against artificial intelligence. There was on Wednesday of this week.
48:58
Speaker 2: A major story in the Wall Street Drum Page one.
49:01
Speaker 2: I'll read the online. The American rebellion against AI is
49:05
Speaker 2: gaining steam. Booed commencement speakers, blocked data centers, plummeting poll numbers.
49:15
Speaker 2: Fast growing industry has a faster growing crisis. The story
49:19
Speaker 2: is about the backlash developing in the United States to AI.
49:24
Speaker 2: There were some commencement addresses over the weekend from people
49:27
Speaker 2: that are on the cutting edge of AI. They were
49:29
Speaker 2: speaking to these college graduates, and the graduates are booing them.
49:33
Speaker 2: The reason they're booing them is they are very threatened
49:36
Speaker 2: by AI. Here's somebody graduating from four year university. The
49:40
Speaker 2: Oh my god, I got this. I took out this
49:41
Speaker 2: big student loan. I have this degree? Is my job?
49:44
Speaker 2: Am I going to have a job? Or is AI
49:47
Speaker 2: going to negate the need for me? So, rather than
49:52
Speaker 2: embrace AI and figure out how you can become part
49:56
Speaker 2: of it and thrive in an environment where AI helps you,
50:00
Speaker 2: there's a tremendous resistance to it. Another example would be
50:06
Speaker 2: the data centers. In order to power all of this AI,
50:10
Speaker 2: we need to have data centers that produce all of
50:14
Speaker 2: the data that AI churns out and uses in order
50:18
Speaker 2: to be what it is. AI. The data centers are
50:23
Speaker 2: popping up all over the United States. They're huge. In
50:28
Speaker 2: some cases, they're extremely I mean, this is I think,
50:32
Speaker 2: really an interesting point. In some cases the data centers
50:35
Speaker 2: get incredible opposition. In other places, nobody raises a peep
50:39
Speaker 2: of opposition. I'll just use in our own area two examples.
50:44
Speaker 2: The really big data center that Microsoft is developing on
50:48
Speaker 2: the southern portion of Racine County. It's the old Fox consite.
50:53
Speaker 2: I'm not saying there's no opposition. I'm just saying I've
50:55
Speaker 2: heard almost none. Microsoft is gradually rolling it out. I
51:02
Speaker 2: think they're slowing the pace of the development of it,
51:05
Speaker 2: but the footprint is to be huge. There's already hundreds
51:07
Speaker 2: of employees that are working there. It's not yet fully
51:10
Speaker 2: built out. I just show past here a few days ago.
51:13
Speaker 2: It's way more built out than the Fox con thing
51:15
Speaker 2: was built out. And it's just going to continue to grow.
51:19
Speaker 2: It may be the largest one in southeastern Wisconsin. We
51:22
Speaker 2: don't know. But Microsoft obviously has to have a lot
51:25
Speaker 2: of them, and the one in Racine County is going
51:28
Speaker 2: to be the mother ship. But you compare this to
51:31
Speaker 2: the one that is proposed for the Port Washington area
51:33
Speaker 2: in Ozaki County, where the opposition is overwhelming. So to
51:39
Speaker 2: say that nobody wants these data centers is not accurate.
51:42
Speaker 2: Some people in some areas don't want them, and other
51:44
Speaker 2: people in other areas don't seem to care at all.
51:50
Speaker 2: I think that the difference is is that some locations
51:56
Speaker 2: for these data centers are more appropriate than others. If
52:02
Speaker 2: you put a data center on the edge of a
52:04
Speaker 2: rather large metropolitan area and I we're scene is kind
52:08
Speaker 2: of I mean, we're Sine's the city of nearly one
52:09
Speaker 2: hundred thousand. It's a city, and it's a dense, in
52:13
Speaker 2: urban type city. It doesn't have the population of Milwaukee.
52:16
Speaker 2: A data center on an edge of a community like
52:18
Speaker 2: this is going to create less trouble than a data
52:21
Speaker 2: center in Usauki County, which is suburban and rather rural.
52:27
Speaker 2: So where we put these things is going to be
52:29
Speaker 2: critical in determining whether or not they're successful. I think
52:32
Speaker 2: Milwaukee should be thinking outside the box with that whole
52:35
Speaker 2: north Ridge area on the northwest side of Milwaukee, where
52:38
Speaker 2: they can't come up with anything to do with all
52:39
Speaker 2: of it. In it crime infested in so on, you
52:42
Speaker 2: put some data centers in there. I mean, lord knows
52:44
Speaker 2: is available land. You're close enough to freeways. You may
52:48
Speaker 2: not have a lot of employees that are going to
52:49
Speaker 2: want to work there, but the jobs are so well
52:53
Speaker 2: paying the people are going to chase where they are anyway.
52:56
Speaker 2: My point is is that the data centers, which are
52:59
Speaker 2: vital to the development of AI, in many cases they're
53:04
Speaker 2: getting opposition. And then the thing that the data centers
53:09
Speaker 2: and ultimately AI all need is electricity, and they need
53:17
Speaker 2: lots of it. That means not only more power plants,
53:22
Speaker 2: it means they have we need a lot more power lines,
53:25
Speaker 2: very high voltage lines to carry all of the power,
53:29
Speaker 2: to carry all of the juice, all of the electricity
53:32
Speaker 2: that is going for AI. And a lot of people
53:34
Speaker 2: don't like that. Well, of course they don't like that.
53:39
Speaker 2: So there's opposition now to AI. But here's the thing.
53:44
Speaker 2: There is zero possibility that AI can be stopped none.
53:54
Speaker 2: When a technological development occurs, it's impossible to put the
53:58
Speaker 2: genie back in the bottom. Yet every time a transformative
54:04
Speaker 2: new technology has broken through, they call it disruptive, and
54:08
Speaker 2: AI is the ultimate disruptive. Will AI be as disruptive
54:13
Speaker 2: as the Internet itself. No one knows yet it might
54:17
Speaker 2: be more transformative. First part of my lifetime, the transformative
54:21
Speaker 2: development was television. Television came around in the nineteen forties,
54:26
Speaker 2: widespread in the nineteen fifties. Prior to TV, I don't
54:30
Speaker 2: know what do people do. I hear they listen to
54:33
Speaker 2: the radio, went to the movies, and otherwise just like
54:35
Speaker 2: played and did things in read books. But my life's
54:37
Speaker 2: experience there has always been television. It changed the focus
54:41
Speaker 2: of people's lives. Television now has morphed into something else.
54:47
Speaker 2: Before the Internet, this is one that I can certainly
54:49
Speaker 2: relate to. First half of my life, there was no internet.
54:52
Speaker 2: The second half of my life, the internet runs everything.
54:55
Speaker 2: Remember when you went to a sporting event, you actually
54:58
Speaker 2: got to carry a ticket. Some people still do that.
55:00
Speaker 2: There are many you see newspapers dying, broadcast, television dying.
55:08
Speaker 2: Radio is in trouble. Over the year, TV is in trouble.
55:11
Speaker 2: Billions of things are in trouble. And you can object
55:15
Speaker 2: to this, but the fact of the matter it is
55:17
Speaker 2: it isn't going to change. Let's go to another disruptive technology.
55:23
Speaker 2: How do you like to have been in the stagecoach
55:26
Speaker 2: or bug buggy business when the car came in. Prior
55:31
Speaker 2: to the automobile, you shipped things via train and people
55:35
Speaker 2: got around by riding or being pulled by a horse.
55:38
Speaker 2: That's it. And there were huge industries in this. Now
55:43
Speaker 2: let's imagine you ran stage coaches. You don't like the
55:46
Speaker 2: whole thing of this car coming in. The horse, I mean,
55:51
Speaker 2: the buggy whip is the ultimate example of a massive,
55:55
Speaker 2: widespread product that became almost extinct. The buggy is the
56:00
Speaker 2: thing that the person driving the buggy would use to
56:02
Speaker 2: make the horses go in the direction they're supposed to go.
56:08
Speaker 2: They may not have liked it, but again, the genie
56:11
Speaker 2: was out of the bottle. The car is here, whether
56:16
Speaker 2: you think something in the long run is going to
56:18
Speaker 2: be bad or not. When the technology is able to
56:23
Speaker 2: make so many things easier than they were, there are
56:25
Speaker 2: going to be people and companies that take advantage of it,
56:29
Speaker 2: and you can't stop it. It's impossible. You perhaps can
56:34
Speaker 2: stop some of the infrastructure from being near where you are.
56:40
Speaker 2: Only I can create the following analogy, So therefore I'm
56:42
Speaker 2: going to do it. We've done quite a few segments
56:46
Speaker 2: over time over the controversy in Franklin, a community of
56:48
Speaker 2: Milwaukee County over the Rock. The Rock is a sports
56:52
Speaker 2: and entertainment complex in Franklin. Franklin's geographically a very big suburb.
56:57
Speaker 2: Used to be mostly cornfields and now it's mostly subs
57:00
Speaker 2: and it's been built out and built out and built out,
57:02
Speaker 2: takes up the southern portion of Milwaukee County is essentially
57:06
Speaker 2: just two cities. Franklin is southwestern and Oak Creek is southeastern.
57:10
Speaker 2: Franklin just goes on and on and on. It's a
57:12
Speaker 2: very big geographical community. The Rock is this entertainment complex.
57:17
Speaker 2: It's here. They have baseball fields and sporting complex and
57:21
Speaker 2: lots of stuff there. There's a semi pro baseball team
57:27
Speaker 2: that plays out there. They have the concert facility, they
57:30
Speaker 2: do haunted houses at Halloween, big, huge complex. If you
57:34
Speaker 2: live in Franklin about two miles away from the Rock,
57:37
Speaker 2: you love it because you've got, like the great you've
57:39
Speaker 2: got an entertainment district close to your home. But if
57:43
Speaker 2: you live a quarter of a mile from the Rock,
57:45
Speaker 2: you hate the Rock because it's loud. Stuff goes out
57:48
Speaker 2: at night here. You are moving out to the quiet
57:50
Speaker 2: old suburbs and instead you've got commotion and noise and
57:53
Speaker 2: everything else, and people hanging around all that stuff. You
57:57
Speaker 2: don't want it. And the people who live nearest to
58:01
Speaker 2: the Rock have been raising hell, claiming they're viola violating
58:04
Speaker 2: the noise limits and so on. But in the most
58:07
Speaker 2: recent elections, the people in charge of Franklin mostly all
58:10
Speaker 2: got reelected despite the fact that they've like done everything
58:13
Speaker 2: that the Rock has wanted to do. The same I
58:18
Speaker 2: think is going to be true with regard to all
58:20
Speaker 2: of the things that will happen with AI. You're not
58:22
Speaker 2: going to be against the data centers if you don't
58:24
Speaker 2: live anywhere near the data center. Now, some people think
58:27
Speaker 2: the data centers are going to cause it increase in
58:29
Speaker 2: electric rates. Well, they know what he's going to like
58:31
Speaker 2: the data center. But we put a big high voltage
58:36
Speaker 2: power lines. If you live under the power line or
58:39
Speaker 2: somewhere near it, you don't like that. If it's nineteen
58:41
Speaker 2: miles away from where you are, what do you care.
58:49
Speaker 2: Regardless of whether or not people think AI will be
58:52
Speaker 2: good or bad, and I think it's going to be
58:54
Speaker 2: like the Internet. The Internet is neither good nor bad.
58:58
Speaker 2: I think the amount of good that's come out of
59:00
Speaker 2: the Internet is exactly equal to the number of bad
59:03
Speaker 2: that has come out of it. The Internet has resulted
59:05
Speaker 2: in poor an addiction, It is created perverts, It's allowed
59:09
Speaker 2: the spread of all sorts of misinformation, a lot of
59:14
Speaker 2: terrible things, and look at all the great things that
59:17
Speaker 2: it's done. Streaming is killing cable television, is killing broadcast television,
59:25
Speaker 2: is creating also infinite amount of programming for people to
59:28
Speaker 2: be able to see good and bad. The same is
59:31
Speaker 2: going to be true with regard to AI. We're going
59:33
Speaker 2: to do a lot of things way more efficiently, and
59:36
Speaker 2: we're going to have the ability to spend our resources
59:39
Speaker 2: and know all sorts of things that we're not wasting
59:41
Speaker 2: the money on now because AI is going to be
59:42
Speaker 2: doing way faster and way better things that regular old
59:45
Speaker 2: human beings could do. But in the process, AI itself
59:51
Speaker 2: might develop the ability to think there are going to
59:53
Speaker 2: be systems in place that humans aren't going to be
59:56
Speaker 2: able to override. There are going to be jobs in
59:59
Speaker 2: certain industries that are going to be wiped out, just
1:00:01
Speaker 2: like in the Internet, just like with regardless streaming, just
1:00:03
Speaker 2: like when the Hords and Buggy was wiped out by
1:00:05
Speaker 2: the car. But my point is is that it can't
1:00:08
Speaker 2: be It can't be stopped. So if you're an individual,
1:00:14
Speaker 2: what you need to do is simply accept the fact
1:00:16
Speaker 2: that AI is inevitable and strategize how you're going to
1:00:21
Speaker 2: benefit from it rather than be harmed by it. So
1:00:26
Speaker 2: these twenty two year old kids that are terrified to
1:00:28
Speaker 2: death of AI, here's my guidance to them. AI is
1:00:33
Speaker 2: like death. There isn't a damn thing you could do
1:00:37
Speaker 2: to stop it. But before you get to death, you
1:00:45
Speaker 2: can accomplish a whole lot of good and turn your
1:00:47
Speaker 2: life into something. The same with AI. You can't stop it,
1:00:50
Speaker 2: but maybe you can take advantage of it, and maybe
1:00:52
Speaker 2: you can be the beneficiary of it. This brings me
1:00:56
Speaker 2: to will I Am. Jason, You've gotten nothing correct today.
1:01:00
Speaker 2: Do you know who will I Am is? Oh? I
1:01:06
Speaker 2: should get Paul back just to do this segment, just
1:01:08
Speaker 2: to let hear it. Will I Am was the leader
1:01:10
Speaker 2: of the Black Eyed Peas. You know who the Black
1:01:13
Speaker 2: Eyed Peas are? I hope will I Am was like
1:01:15
Speaker 2: Fergie was the singer and will I Am was the guru,
1:01:19
Speaker 2: and the Black Eyed Peas were like there's like three
1:01:21
Speaker 2: hip hop groups that I loved and The Black Eyed
1:01:23
Speaker 2: Peas are at the top of the list. I contend
1:01:25
Speaker 2: they aren't really hip hop. They were, you know how
1:01:29
Speaker 2: like there's certain country acts that are crossovers between country
1:01:33
Speaker 2: and rock. I think the Black Eyed Peas were a
1:01:37
Speaker 2: crossover between hip hop and rock and roll. And will
1:01:41
Speaker 2: I Am was the genius behind it. He was the
1:01:43
Speaker 2: guy that coordinated all of the music, did the production
1:01:46
Speaker 2: and so on, and Fergie was the extremely talented front woman.
1:01:50
Speaker 2: Will I Am there's another story, I thought at the
1:01:54
Speaker 2: Wall Street Journal. You know what will i Am is
1:01:56
Speaker 2: doing now? He's teaching a university course, the courses in AI.
1:02:06
Speaker 2: He's apparently not only knowledgeable in AI, he's extremely knowledgeable
1:02:12
Speaker 2: on how people can get involved in the AI industry.
1:02:15
Speaker 2: The rapper and singer Will i Am has played hundreds
1:02:18
Speaker 2: of shows and sold millions of records, but his latest
1:02:21
Speaker 2: debut as a professor of a college class about artificial
1:02:23
Speaker 2: intelligence gave him stage fright. In January, the Black Eyed
1:02:27
Speaker 2: Peas frontman, whose given name is William Adams, began teaching
1:02:32
Speaker 2: the Aegentic Self, a sixteen week course in which Arizona
1:02:35
Speaker 2: State University students learned how to create their own AI
1:02:39
Speaker 2: agents digital assistants that complete tasks on their own. Before
1:02:43
Speaker 2: practice session, Adams and will I Am was seized by
1:02:46
Speaker 2: doubt and retreated to a bathroom for forty minutes to
1:02:49
Speaker 2: collect himself. Imagine this rock and roll hip hop superstar
1:02:54
Speaker 2: scared to death to go talk to a bunch of
1:02:55
Speaker 2: stupid college kids. Then he hit on a source of inspiration,
1:02:59
Speaker 2: his band's two thousand and three song where Is the Love?
1:03:02
Speaker 2: Each class, he realized, could, like the song, identify a problem,
1:03:07
Speaker 2: discuss different approaches, and end with reflection. So the story
1:03:11
Speaker 2: goes on. So one of the burgeoning things that's going
1:03:15
Speaker 2: on in higher education is the number of coursework that's
1:03:17
Speaker 2: out there on AI. I also think that the applications
1:03:21
Speaker 2: in non academic areas, in the construction trades and so on, architecture.
1:03:28
Speaker 2: Who knows what AI is going to be able to
1:03:29
Speaker 2: do rather than be threatened by it? And it is threatening,
1:03:34
Speaker 2: But I just to say, so is death. What you're
1:03:36
Speaker 2: going to have to do is embrace the whole process
1:03:38
Speaker 2: of it. The alternative being scared to death by death
1:03:41
Speaker 2: is to figure out how to make something of your
1:03:43
Speaker 2: life before you do die. Column in The Wall Street
1:03:51
Speaker 2: Journal on Monday, written by Andy Kessler. It's not directly
1:03:58
Speaker 2: on the point, but it relates a little bit to
1:03:59
Speaker 2: our earlier topic. The headline is our Champagne Socialists. He's
1:04:07
Speaker 2: dealing here with the number of young people that have
1:04:11
Speaker 2: fallen for the most discredited economic idea in the history
1:04:15
Speaker 2: of human beings, socialism. There are various economic theories out there,
1:04:21
Speaker 2: but none of them are worse than socialism. This is
1:04:24
Speaker 2: me now and not Kessler. Socialism is bucking up against
1:04:29
Speaker 2: the basic of human life, which is incentivizing we do
1:04:34
Speaker 2: things because we think that they are going to be
1:04:36
Speaker 2: good for us, that we will like it. Why do
1:04:40
Speaker 2: people work hard because they want to be successful. Why
1:04:44
Speaker 2: do they want to be successful because they want to
1:04:46
Speaker 2: make money? Why do they want to make money so
1:04:48
Speaker 2: they can do the things of the money that they
1:04:50
Speaker 2: want to do and live at the right house and
1:04:51
Speaker 2: take the right trip and do the right thing. And
1:04:53
Speaker 2: then once they have that money, they want to have
1:04:55
Speaker 2: more money because they want to do more of it.
1:04:59
Speaker 2: If the in setive to get all of those things
1:05:02
Speaker 2: isn't there, because it's all taken away from you, nobody's
1:05:06
Speaker 2: going to do anything. And this is where socialism always
1:05:10
Speaker 2: results in societies that are stagnant, where nothing happens and
1:05:14
Speaker 2: no one has any initiative. The socialistic promises to take
1:05:18
Speaker 2: the bottom feeders of life and allow them to live
1:05:20
Speaker 2: off of everybody else. But socialism in practice means that
1:05:25
Speaker 2: there aren't any people left for anybody else to live
1:05:27
Speaker 2: off of, because we've already took it all from them.
1:05:30
Speaker 2: Kessler rights, what's with the rash? The rash of socialists
1:05:36
Speaker 2: inflaming our politics? Didn't socialism die in Berlin in nineteen
1:05:40
Speaker 2: eighty nine, Yes, But awful ideas are eternal for the
1:05:44
Speaker 2: power hungry. Much as Obamacare was meant as a gateway
1:05:48
Speaker 2: drug to single payer health care, city run grocery stores
1:05:52
Speaker 2: and free buses are a path to government run everything.
1:05:56
Speaker 2: America's youth are infatuated. Almost two thirds of those under
1:06:00
Speaker 2: thirty have a favorable view of socialism. They are told
1:06:04
Speaker 2: artificial intelligence will destroy jobs, they worry about never arriving
1:06:08
Speaker 2: climate disasters, and are seduced by universal basic income aka
1:06:13
Speaker 2: welfare for all. Oh and they hate the filthy inequality
1:06:17
Speaker 2: schemes and unfathomable riches of the billionaires. But they sure
1:06:21
Speaker 2: enjoy iPhones and Starbucks iced brown sugar oat, milk, shaken espresso,
1:06:27
Speaker 2: young voters help elect oxymeronic democratic socialists. The effect has
1:06:33
Speaker 2: been swift. In April, Seattle's socialist mayor Katie Wilson declared, quote,
1:06:39
Speaker 2: I think the claims that millionaires are going to leave
1:06:41
Speaker 2: our state are like super overblowed, and if the ones
1:06:45
Speaker 2: that leave like buy Starbucks then announced the one hundred
1:06:50
Speaker 2: million dollar expansion in Nashville, and former CEO Howard Schultz
1:06:53
Speaker 2: moved to Florida as in like buy. New York Mayor
1:06:57
Speaker 2: Zoron Mamdani seemingly ran out of money to fund collectivism
1:07:02
Speaker 2: shortly into his term, saying, we are forced to raid
1:07:05
Speaker 2: the Rainy Day Fund, the Retiree Health Benefit Trust reserves,
1:07:09
Speaker 2: and to increase property taxes. Well half of personal income
1:07:12
Speaker 2: taxes are paid by two percent of city dwellers. Florida
1:07:15
Speaker 2: beckins finance firms like Citadel and Apollo are expanding elsewhere.
1:07:21
Speaker 2: A New York Post headline nailed it, we are zo
1:07:25
Speaker 2: out of here. Los Angeles mayoral candidate Natiah Rahman, nicknamed
1:07:31
Speaker 2: the Champagne Socialist, voted against keeping homeless encampments away from
1:07:36
Speaker 2: schools and daycare centers, saying it's like whatever endearing. Add
1:07:42
Speaker 2: a potential wealth tax and November's ballot and the exodus
1:07:46
Speaker 2: in California accelerates. By the way, two trillion dollars of
1:07:50
Speaker 2: income moved from blue states to red from twenty twelve
1:07:53
Speaker 2: to twenty twenty three. It goes on to the point
1:07:56
Speaker 2: that Kessler is making here is that in a country
1:08:01
Speaker 2: of fifty states, the ones that don't become socialist are
1:08:09
Speaker 2: going to retract all of the wealth that the socialists
1:08:12
Speaker 2: want to redistribute. So the mayor of Seattle, if she
1:08:16
Speaker 2: wants to be a socialist and take all this money
1:08:18
Speaker 2: from all the super rich in Seattle, what's she going
1:08:21
Speaker 2: to do when they're not in Seattle. This is another
1:08:24
Speaker 2: way in which this whole socialism breaks down. If Wisconsin
1:08:28
Speaker 2: elects a Marxist governor and a Democratic legislature, which is
1:08:31
Speaker 2: very possible, if Francesco Hang wins the Democratic nomination and
1:08:35
Speaker 2: the general election, we're going to see the same thing here. Immediately,
1:08:39
Speaker 2: the taxes are going to be shot to the roof,
1:08:42
Speaker 2: and immediately the wealthy people who have the ability to
1:08:44
Speaker 2: leave will leave. So now you have to raise even
1:08:48
Speaker 2: more taxes, and you have less money to support the
1:08:51
Speaker 2: entire thing because people do leave when a nation embraces socialism.
1:08:56
Speaker 2: The only alternative is for the wealth to leave the nation,
1:08:59
Speaker 2: which is hard and it's painful, but it's not hard,
1:09:02
Speaker 2: and it's not particularly painful to leave a state. Schultze
1:09:07
Speaker 2: Round Starbucks is a lefty. He pulls a big chunk
1:09:12
Speaker 2: of the company out of Seattle and he personally moves
1:09:15
Speaker 2: to Florida. Was that hard for him? No, The only
1:09:24
Speaker 2: problem with socialism is that it doesn't work. Other than that,
1:09:29
Speaker 2: it's surefined, but it doesn't work. The reason that socialism
1:09:35
Speaker 2: then leads to tyranny. And you're already seeing how violent
1:09:40
Speaker 2: some of the socialists are in the United States, how
1:09:43
Speaker 2: vicious they are. You see the people that cheer for
1:09:47
Speaker 2: the death of the murder of a healthcare executive. What
1:09:51
Speaker 2: happens is that when socialism starts coming into place and
1:09:53
Speaker 2: it doesn't work, the socialists are curified that theay of
1:09:58
Speaker 2: the socialists will be voted out by the public that
1:10:00
Speaker 2: wants to go back the other way, So they embark
1:10:03
Speaker 2: on a reign of purity to keep their power. There's
1:10:06
Speaker 2: a reason why no communist country ever has free elections.
1:10:11
Speaker 2: The communists get in the socialists get in and the
1:10:14
Speaker 2: next thing you know, there are no elections anymore because
1:10:17
Speaker 2: they know that if there were free elections, they would
1:10:19
Speaker 2: be voted out. As I said, the only problem with
1:10:22
Speaker 2: socialism is and it doesn't work. This is the Mark
1:10:26
Speaker 2: Belling Podcast. This is the last podcast before the Memorial
1:10:32
Speaker 2: Day weekend. If you're listening to me here in Wisconsin,
1:10:35
Speaker 2: starting out a little cool, supposed to be very nice.
1:10:37
Speaker 2: By the end of the weekend, do remember what Memorial
1:10:41
Speaker 2: Day is and what it's for. My next podcast is
1:10:45
Speaker 2: going to be released on Monday morning, Memorial Day morning,
1:10:48
Speaker 2: and we'll spend at least a bit of time actually
1:10:51
Speaker 2: remembering the purpose of Memorial Day. Talk to you soon.
1:11:06
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