Latest / UK Column Radio / Humans Do Not Cause Climate Change | Jerm Warfare

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Humans Do Not Cause Climate Change | Jerm Warfare · UK Column Radio

0:30
Speaker 1: My name is Jim. This is Germ Warfare, The Battle
0:33
Speaker 1: of Ideas, Tony Hella. Thank you for joining me in
0:36
Speaker 1: the trenches.
0:38
Speaker 2: Thanks for inviting me, Tony.
0:43
Speaker 1: I've been wanting you on my show for a long time.
0:46
Speaker 1: I think we last chatted h three or four years ago,
0:51
Speaker 1: and you've probably forgotten the story, but the summary is
0:56
Speaker 1: that it's you.
0:57
Speaker 2: You are the.
0:58
Speaker 1: Person who basically convinced me to change my entire worldview
1:03
Speaker 1: on climate change. And I think I came across your
1:06
Speaker 1: work in the twenty teens already, and I just I
1:12
Speaker 1: couldn't get enough of your website. I just read every
1:16
Speaker 1: single article and I was thinking, how is it possible
1:21
Speaker 1: that you are saying this but nobody else is saying this?
1:29
Speaker 2: Well, I mean there's a few other people who are
1:33
Speaker 2: doing it, like Chris Martz, young guy. He's doing it,
1:40
Speaker 2: but it's hard to explain. I mean, it requires a
1:45
Speaker 2: little bit of technical expertise to analyze the data. And
1:49
Speaker 2: I'm a data guy. I've been doing computer graphics and
1:52
Speaker 2: data for more than half a century and I love
1:58
Speaker 2: working with data and making vision realizations of it, and
2:01
Speaker 2: so it's easy for me to demonstrate, you know, how
2:04
Speaker 2: the data's being manipulated or misinterpreted. And also I used
2:10
Speaker 2: to be a high school teacher too, so I used
2:14
Speaker 2: I used to explaining things to people, so uh to.
2:18
Speaker 2: It's a good combination for me.
2:20
Speaker 1: But what what tuned? I mean, you have the the
2:26
Speaker 1: established view that just about everybody gets fed. What what
2:30
Speaker 1: made you start questioning?
2:34
Speaker 2: I think, well, I used to be a true believer myself.
2:40
Speaker 2: In fact, there's kind of a funny story. I was
2:43
Speaker 2: coaching soccer kids soccer and longman, Colorado in two thousand
2:49
Speaker 2: and two, and there was a terrible drought going on.
2:52
Speaker 2: The fields were with there's no rain for months at
2:56
Speaker 2: a time. The grass was completely dead, and the city
3:00
Speaker 2: council wanted to shut the soccer fields down. In fact,
3:03
Speaker 2: they did shut them down. So I went to a
3:06
Speaker 2: city council meeting and told them, you know, with this
3:09
Speaker 2: climate change stuff, it's just going to get worse. It's
3:13
Speaker 2: not going to get any better. You shouldn't worry about
3:16
Speaker 2: the grass. Kids in Brazil playing cobble stones, so you know,
3:22
Speaker 2: it'll just make it's just learning to play on hard
3:25
Speaker 2: raddle and just make our kids weren't competitive, it'll if
3:28
Speaker 2: you know, right now, They used to playing on really good,
3:32
Speaker 2: lush green grass all the time, and so they can't
3:35
Speaker 2: compete against people from Africa and people from you know,
3:39
Speaker 2: South America or East to not having such good conditions.
3:43
Speaker 2: And they bought it and they opened up a few
3:46
Speaker 2: of the fields for the kids to play on. So
3:50
Speaker 2: I actually believed the whole climate thing myself. But then
3:57
Speaker 2: then the next year we had like the biggest snowstarre
4:00
Speaker 2: on record, one of the biggest snowstorms on record, and
4:02
Speaker 2: Boulder and the similar thing happened in two thousand and
4:07
Speaker 2: six is very hot and dry, and then the weather
4:10
Speaker 2: turned very cool and wet, they had a record snowstorm.
4:14
Speaker 2: So I started questioning, well, it doesn't really look like
4:17
Speaker 2: a trend, looks more like cycles. And so I started
4:21
Speaker 2: looking at the data and seeing how it was being
4:24
Speaker 2: manipulated by Noah, and really I realized came to the
4:28
Speaker 2: conclusion that the whole thing was a scam, that they
4:33
Speaker 2: you know, what they were presenting in the public wasn't
4:35
Speaker 2: an accurate representation of the data. And if you look
4:38
Speaker 2: through the history of climate, we go through hot periods
4:41
Speaker 2: and cold periods, and wet periods and dry periods, and
4:44
Speaker 2: it's always been like that long before SUVs, and well
4:50
Speaker 2: whatever else they're blaming amout.
4:53
Speaker 1: So I mean, that's your cool argument, is that climate
4:55
Speaker 1: change is real because the climate has always changed.
5:00
Speaker 2: Right, yeah, exactly. I mean, climate change is very real.
5:04
Speaker 2: And we're having probably the worst drought on record in
5:08
Speaker 2: the Western United States right now. The lakes are drying up,
5:12
Speaker 2: the grass is dead, everything's burning. And of course this
5:16
Speaker 2: is all going to get blamed. You know, it's very
5:19
Speaker 2: politically convenient for people, but it's all going to get
5:22
Speaker 2: blamed on that. But the fact is, if you look
5:25
Speaker 2: back in the historical record, the twentieth century was an
5:29
Speaker 2: unusually wet time in the Western US, and they've had
5:32
Speaker 2: multi century droughts a thousand years ago, they're having multi
5:36
Speaker 2: century droughts that have wiped out entire civilizations. And you know,
5:41
Speaker 2: we may well be in one of those now. But
5:44
Speaker 2: it's not due to calfarts or SUVs. It's just that's
5:51
Speaker 2: the normal climate. That's why the Western US is a
5:54
Speaker 2: desert because it goes through periods of time of extreme drought,
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Speaker 2: long periods of time extreme drought out and look, the
6:01
Speaker 2: water drives up and plants dye, and that's just the
6:05
Speaker 2: way it.
6:05
Speaker 1: Is so right now in South Africa, as you and
6:10
Speaker 1: I are talking, it's winter, and if you go through
6:13
Speaker 1: our news reports over the last few years, you'll get
6:16
Speaker 1: the impression that our winters are getting colder. It traditionally
6:22
Speaker 1: doesn't snow here in Cape Town. I'm right at the
6:25
Speaker 1: bottom tip of Africa, right, so we don't get snow. However,
6:29
Speaker 1: we have been getting little bits of snow now on
6:32
Speaker 1: the outskirts of the city. Now that's unusual. So I
6:37
Speaker 1: keep getting told that everything's getting wetter.
6:41
Speaker 2: Yeah, definitely here here in the western US, it's definitely
6:45
Speaker 2: gotten much warmer over the last fifty years. And in
6:49
Speaker 2: western Europe it's gotten much warmer. I think in the
6:53
Speaker 2: midwestern US it's gotten that they have less hard weather
6:56
Speaker 2: than they eased too, you know, so it's a real
7:00
Speaker 2: all thing. During the last ice Age, it was very
7:03
Speaker 2: cold and a c in the midwestern and eastern US,
7:07
Speaker 2: whereas was fairly actually fairly mild and relatively mild in
7:11
Speaker 2: Alaska and California. So, you know, people don't really understand what,
7:18
Speaker 2: you know, what causes these things. And some places get warmer,
7:21
Speaker 2: some places get cooler, and you know, wherever people happen
7:25
Speaker 2: to be that's going to shape their perception of what's
7:28
Speaker 2: going on.
7:30
Speaker 1: Your core argument, essentially, Tony, is that the historical temperature
7:36
Speaker 1: data has been systematically altered by A Noah did you
7:41
Speaker 1: pronounce it Noah? In in aa Noah? And I call
7:46
Speaker 1: it Noah and NASA, and they have over the years
7:50
Speaker 1: repeatedly adjusted quote unquote the records, making making things cooler
7:57
Speaker 1: and warmer, and then creating sharper curves.
8:00
Speaker 2: Yeah. Yeah. What they do is and they collect I mean,
8:05
Speaker 2: the thermometers just collect temperature one moment at a time. And
8:10
Speaker 2: so they take the daily temperature data. They typically have
8:14
Speaker 2: sort of a maximum and a minimum temperature for the
8:18
Speaker 2: day in the historical record, and then they create what
8:20
Speaker 2: they call it monthly data set, which is an associate average.
8:24
Speaker 2: But when they're creating those monthly data sets, they tamper
8:28
Speaker 2: with it. They call it it just you know, they
8:31
Speaker 2: claim that people didn't know how to read thermometers properly
8:36
Speaker 2: back then, or the station's moved, or you know, they
8:40
Speaker 2: have all these excuses to adjust the monthly temperature record
8:44
Speaker 2: if you look at them. And so I started looking
8:46
Speaker 2: at the monthly temperature record and realize it didn't match
8:49
Speaker 2: the daily temperature record because because they were manipulating it.
8:54
Speaker 2: And one of the ugliest things they do is called homogenization,
8:59
Speaker 2: where they take but you're really good examples in South America,
9:04
Speaker 2: Like there's not a lot of long term temperature data
9:08
Speaker 2: in South America, but there's really there's good there's a
9:12
Speaker 2: long term record from Buenos Airos and from a number
9:16
Speaker 2: of places in Uruguay. The Uruguay stations don't actually show
9:21
Speaker 2: any warming, but Buenos Airos is a huge city and
9:24
Speaker 2: it's grown a lot, and so it's warmed a lot
9:27
Speaker 2: as results of urban heat island. But then what they
9:29
Speaker 2: do is they smear the data using this homogenization process
9:35
Speaker 2: from from Buenos Airas into the into the Uruguayan stations.
9:41
Speaker 2: So the Uruguayan stations look like they're warming even though
9:43
Speaker 2: they're not. It's just because they're contaminating the data with
9:49
Speaker 2: data from Buenos Aires. And they do that all over
9:53
Speaker 2: the place. And the only proper way to handle urban
9:57
Speaker 2: heat island effect to data is just not use it.
10:00
Speaker 2: Data it's been affected by things that are not climatological,
10:04
Speaker 2: they should just throw it out. But and so what
10:06
Speaker 2: they do is they just throw the They throw the
10:09
Speaker 2: poison into the pot and stir it up and say,
10:12
Speaker 2: this makes the soup taste good. Right, put in, if
10:17
Speaker 2: we have like eighty percent good drik gredients and twenty
10:20
Speaker 2: percent bad ingredients, the soup will be okay. And that's
10:24
Speaker 2: not how it works. You put any bad ingredients and
10:27
Speaker 2: the soups gets contaminated. And that's that's exactly what they're doing.
10:32
Speaker 1: NASA's records showed a cooling trend in the US of
10:37
Speaker 1: already from the nineteen cities.
10:39
Speaker 2: Yeah, through the through the end of the twentieth century.
10:45
Speaker 2: It's definitely cold quite a bit. The nineteen thirties were
10:50
Speaker 2: extremely hot and cold a lot, and through the nineteen
10:55
Speaker 2: seventies and then start warming again, but not back up
10:58
Speaker 2: to the level of the nineteen thirties. Having said that,
11:03
Speaker 2: this pat this year in the western US has been
11:07
Speaker 2: the warmest on record by far.
11:10
Speaker 1: But we know why. It's because you're driving. It's because
11:13
Speaker 1: you're driving an ice vehicle. Tony two.
11:18
Speaker 2: I got two big trucks. Yeah, I gave it. I
11:24
Speaker 2: gave a presentation to the Colorado Independent Cattle Growers Association
11:29
Speaker 2: on Saturday. You know, they're constantly being blamed that cows
11:35
Speaker 2: are heating up the climbing, So I gave them a
11:38
Speaker 2: presentation explaining it doesn't. I mean, you know, whatever's going
11:41
Speaker 2: on has nothing to do with them over science. I
11:44
Speaker 2: think they really appreciated that. But it's not col farts
11:48
Speaker 2: and it's not sevs. You know, there's there's other factors
11:52
Speaker 2: at work that cause these cyclical climate variations.
11:58
Speaker 1: It could be argued, though, that the adjustments to their
12:02
Speaker 1: data over the decades is to correct faulty data. But
12:07
Speaker 1: as you point out, every time they adjust the data,
12:11
Speaker 1: it the trajectory is always to a warming endpoint.
12:18
Speaker 2: Yeah, every data set has errors in it. There's never
12:22
Speaker 2: been a data set that's in their errors. So we
12:25
Speaker 2: have what's like a bell shaped curve of errors. And
12:29
Speaker 2: when people generally recognize that if you've got a large
12:32
Speaker 2: data set with a bunch of fairly random data, you're
12:35
Speaker 2: going to get errors on the high side, you get
12:37
Speaker 2: errors on the low side, and you just assume that
12:41
Speaker 2: they cancel each other out. It's like if you look
12:46
Speaker 2: at the case of like people designing nuclear weapons, they
12:49
Speaker 2: don't have an exact they don't have an exact model
12:53
Speaker 2: of what each particle is doing. Because there's a gazillion
12:57
Speaker 2: gazillion particles and they can't model them. They do as
13:00
Speaker 2: they create models, random number generators and just assume that
13:05
Speaker 2: the errors on each side are they cancel each other
13:09
Speaker 2: out and they work well enough to design a nuclear weapon.
13:13
Speaker 2: And that's journalio scientists work, is they just assume a
13:15
Speaker 2: bell shaped curve of errors and don't try to make
13:19
Speaker 2: these horrible attempts to correct it, which when they do that,
13:24
Speaker 2: they just introduce confirmation bias. They want to show warming,
13:28
Speaker 2: so they look for things which can give them more warming,
13:32
Speaker 2: and they make corrections, and even if the adjustment itself
13:36
Speaker 2: may have some legitimacy to it, what they're doing is
13:40
Speaker 2: they're corrupting the data because they're not looking for things
13:43
Speaker 2: that cause errors in the other direction. So by just
13:47
Speaker 2: correcting the errors on one side not correcting the other sides,
13:51
Speaker 2: they're guaranteeing that they corrupt the data to create the
13:56
Speaker 2: trend that they want to have. Why well, there's why.
14:02
Speaker 2: It's because prestige money. Then the funding goes to the
14:07
Speaker 2: people who show the most warming. So they whether they're
14:11
Speaker 2: doing it intentionally or not, they're going to figure out
14:14
Speaker 2: They come up with schemes to show more warming. They
14:18
Speaker 2: may not think they're being dishonest, but but by I said,
14:21
Speaker 2: by just looking at one side of the equation and
14:24
Speaker 2: not the other side, they are, you know, biasing the
14:28
Speaker 2: data in the direction they which favors their pocket books
14:33
Speaker 2: and their career.
14:35
Speaker 1: Well, the IPCC was created effectively to push the idea
14:39
Speaker 1: of global warming.
14:41
Speaker 2: Yeah, and it's called it's called the Internet International Panel
14:45
Speaker 2: on Climate Change. And if they showed that the climate
14:48
Speaker 2: was changing, they wouldn't have any reason to exist. And
14:51
Speaker 2: it's it's our inner governmental panel. So the first problem
14:55
Speaker 2: is right, it's uh, it's government, which means it's politics.
15:00
Speaker 2: The second channel is they have to show second problems,
15:02
Speaker 2: they have to show climate change. So the whole thing
15:05
Speaker 2: is broken from the get go, just by the name
15:09
Speaker 2: of the organization.
15:12
Speaker 1: One of the first articles I think I ever read
15:15
Speaker 1: on your website back in the day was climate Gate,
15:18
Speaker 1: And when I talk to people about climate change, I
15:21
Speaker 1: never heard of climt gate. Yet it's a really important
15:23
Speaker 1: piece of the puzzle.
15:26
Speaker 2: Yeah, well, I just do. Someone exposed emails for much
15:32
Speaker 2: leading climate scientists and showed how they were hiding data,
15:37
Speaker 2: manipulating data, censoring people with other opinions, a lot of
15:43
Speaker 2: things that scientists people normally. People normally assume that scientists
15:48
Speaker 2: are these really honest people and white lab coats who
15:52
Speaker 2: are just trying to get accurate information, and it exposed
15:55
Speaker 2: the fact that they're just crooking human beings like everybody else,
16:00
Speaker 2: with biases and and interests which go well beyond getting
16:05
Speaker 2: the facts. Yeah.
16:07
Speaker 1: But the problem is that one of the central figures
16:09
Speaker 1: was Michael Mann, and everything these days is based on
16:12
Speaker 1: that hockey stick graph of his.
16:14
Speaker 2: Yeah. Yeah, that hockey sick graph was just complete garbage.
16:21
Speaker 2: People have done, you know, work on end showing that
16:24
Speaker 2: you can generate a hockey stick from any random data set.
16:27
Speaker 2: He's in the methodology he used. It's just kind of
16:33
Speaker 2: just he just he wanted to show that that global
16:38
Speaker 2: warming was real, so he came up. He created the
16:42
Speaker 2: methodology to show that global warming was real, and it
16:44
Speaker 2: doesn't have anything with reality. It just but it met
16:48
Speaker 2: in his needs and the needs of his community. Brought
16:51
Speaker 2: a lot of money into the climate science community.
16:54
Speaker 1: But our Gore made a documentary and that documentary is
16:58
Speaker 1: obviously true.
17:00
Speaker 2: Yeah, it must be. He got the Nobel Prize forever. Yeah, No,
17:05
Speaker 2: that was twenty That was twenty years ago that that
17:08
Speaker 2: movie came out. You know, they shout it to every
17:11
Speaker 2: school kid in the world, probably three times. So they've
17:15
Speaker 2: got all these you know, they've got all these brainwashed
17:18
Speaker 2: children running around and now you're look like we're having
17:21
Speaker 2: a really bad drowd. It's really easy to convince them
17:24
Speaker 2: that it's because of something their parents did, or something
17:28
Speaker 2: they did, or or are their hamburger in they or something.
17:32
Speaker 1: But I mean, he he predicted that there'd be no
17:34
Speaker 1: ice caps why now?
17:37
Speaker 2: Yeah, yeah, he had a lot of really, he predicted
17:41
Speaker 2: the North poll of the ice free by by twenty
17:45
Speaker 2: sixteen or twenty no, no, twenty twenty fourteen. Actually yea,
17:50
Speaker 2: he predicts yeah, in this movie, predicted that Mount Kilimanjaro
17:54
Speaker 2: would be have no more glaciers by twenty twenty six
17:58
Speaker 2: and number of other amazing predictions like, oh, he predicted
18:05
Speaker 2: at Glacier National Park in Montana and Canada would be
18:10
Speaker 2: ice free by now. And you know, the glaciers are
18:13
Speaker 2: actually larger now than they were in the nineteen nineties there,
18:16
Speaker 2: So he pretty much screwed the poocha out everything.
18:20
Speaker 1: He predicted the difference between the Java's witness and climate
18:25
Speaker 1: change of almost is that the one gets their doomsday
18:28
Speaker 1: predictions wrong all the time and the other is a
18:31
Speaker 1: Jova's witness. Yeah, pretty cool, but tiny extreme weather is
18:40
Speaker 1: getting worse.
18:43
Speaker 2: I don't think there's really any indications supporting it. You know,
18:49
Speaker 2: if you look back, well, a particularly bad year in
18:53
Speaker 2: the United States was seventeen eighty. They're some of the
18:59
Speaker 2: worst hurricanes on record occurred in seventeen eighty and actually
19:04
Speaker 2: they helped actually within the US, it's when the Revolutionary
19:09
Speaker 2: War against Breton they wiped out the hurricanes wiped out
19:13
Speaker 2: a large portion of the British fleet. So no, if
19:19
Speaker 2: you look, if you go through the historical record, there's
19:22
Speaker 2: no indigation that things have gotten worse at all.
19:26
Speaker 1: It just as a matter of interest on the topic
19:28
Speaker 1: of hurricanes, what do your views on man made hurricanes?
19:33
Speaker 1: Remember that story that happened in Dubai where it wasn't
19:35
Speaker 1: hurricane but they created rain. Is that kind of with
19:40
Speaker 1: the manipulation just very localized.
19:43
Speaker 2: Yeah, I think that they created rain by seeding clouds,
19:49
Speaker 2: which you know, it just gives the droplet something the
19:52
Speaker 2: new theater around and definitely has local effects. I'm not
19:57
Speaker 2: convinced that there's any You know, governments have the ability
20:02
Speaker 2: to manipulate large scale weather, but who knows. I mean,
20:10
Speaker 2: maybe they do. You know, we don't really understand what
20:15
Speaker 2: caused these weather patterns. And I can tell you that
20:18
Speaker 2: for the weather forecasts out here in the western US
20:21
Speaker 2: this year, the models have been broken consistently. There's something
20:26
Speaker 2: going on with the weather which they don't understand. They
20:29
Speaker 2: keep predicting precipitation and it's not happening. So there's something
20:34
Speaker 2: fundamentally different about the weather this year which the models
20:38
Speaker 2: don't understand, and lacking any understanding of what that is,
20:44
Speaker 2: I think I would be overstepping my knowledge to state
20:48
Speaker 2: that this is not caused by something the government's doing,
20:53
Speaker 2: although I don't know what it would be. You know, nobody,
20:57
Speaker 2: nobody really understands what's going on.
21:00
Speaker 1: Well, just to feed into what you were talking about
21:01
Speaker 1: earlier with the cycles, So I said to you earlier
21:05
Speaker 1: that it's been pretty cold the last few years in
21:08
Speaker 1: South African winters. But I read an article today and
21:11
Speaker 1: an actual fact, I've known about this for a few
21:14
Speaker 1: months now, that we have what's called Il Nino or
21:16
Speaker 1: El Nino that's coming in our direction later this year,
21:19
Speaker 1: which means that we're going to have a very very
21:21
Speaker 1: hot summer, and it's going to be an extended hot summer. Now,
21:25
Speaker 1: I mean that you could call extreme weather, but that
21:28
Speaker 1: has happened throughout history.
21:31
Speaker 2: Yeah, I didn't, you know, they didn't really know about Almina.
21:35
Speaker 2: So about forty years ago the white scientists started studying them.
21:39
Speaker 2: They realized that they are very strong influence on the
21:42
Speaker 2: weather patterns, so they tend to out the opposite effects
21:46
Speaker 2: in the United States. They tend to reduce hurricanes and
21:51
Speaker 2: make the western US ware. So what's bad for you
21:56
Speaker 2: is in Australia is actually good for are you know?
22:01
Speaker 2: Are good for the United States?
22:06
Speaker 1: I remember when I started going through your website, what
22:11
Speaker 1: is it like? Over ten years ago? I then came
22:14
Speaker 1: across a documentary called the Great Global Warming Swindle, and
22:20
Speaker 1: in it they were they were showing how some island
22:24
Speaker 1: I think in the Indian Ocean or Pacific Icondriment, where
22:27
Speaker 1: was supposed to have been underwater. Why now? And it
22:31
Speaker 1: turns out that none of these islands have gone underwater.
22:35
Speaker 2: Yeah, they were. They were pushing the Maldives and two
22:40
Speaker 2: two value drowning scams for a long time. And the
22:44
Speaker 2: MA that's the Maldives government was trying to capitalize on this,
22:49
Speaker 2: getting trying to get government send them money. And they
22:52
Speaker 2: actually had a cabinet meeting in the Valdives underwater. You know.
22:56
Speaker 2: They were trying to gild Western and meanwhile they're building
23:01
Speaker 2: all these airports. Yeah, they to increase their tourists, so
23:10
Speaker 2: they're flying all these people on long haul flights and
23:13
Speaker 2: complaining about the Western countries. CO two missions were drowted.
23:19
Speaker 2: It we weren't for a long time, but now that
23:23
Speaker 2: the Maldives are still there, none of the islands of droughts.
23:28
Speaker 2: So yeah, it was a good scam they had go
23:31
Speaker 2: in there.
23:32
Speaker 1: The u N I remember, put out diagrams and illustrations
23:35
Speaker 1: about climate refugees.
23:39
Speaker 2: That's good. Yeah, the actually a good they're reminds me
23:43
Speaker 2: the Chief Scientists of the UK about twenty years ago
23:49
Speaker 2: said it was going to get so hot the only
23:50
Speaker 2: place that anyone would be able to live was in Antarctica.
23:56
Speaker 2: And they're they're predicting billion or million, tens of millions
24:00
Speaker 2: of climate refugees moving to ed Arctic. That's good. Yeah.
24:09
Speaker 2: Another one I really enjoyed was the U in some
24:14
Speaker 2: government organization angling and England predicting that I don't remember,
24:19
Speaker 2: the National Trust was predicting that England was going to
24:23
Speaker 2: soon have a Mediterranean climbate. That was good.
24:29
Speaker 1: You mentioned CO two earlier. What is the relationship between
24:32
Speaker 1: temperature and CO two?
24:35
Speaker 2: Well, if you look in the in the historical long
24:38
Speaker 2: term historical record, you see that they track each other.
24:43
Speaker 2: And that's you know, if you if you ever opened
24:48
Speaker 2: up a warm beer bottle, you know it tends to
24:51
Speaker 2: spew foam mountain. That's because the solubility of CO two
24:55
Speaker 2: and water decreases with temperature. So it happened. So I
25:00
Speaker 2: what happened is in the past. I mean, when you
25:02
Speaker 2: go into ice ages, the oceans get cooler, they absorb
25:07
Speaker 2: more carbon dioxide, say not, carbon dioxide in the atmosphere
25:10
Speaker 2: goes down. And then when the ocean, when you came
25:13
Speaker 2: out of an ice age, the oceans warm up and
25:17
Speaker 2: then they expel carbon dioxide into the atmosphere. So they
25:20
Speaker 2: so carbon dioxide tends to track ocean temperatures. And so
25:26
Speaker 2: what al Gore and his buddies did was they reversed.
25:29
Speaker 2: They made it. They tried to make it look like
25:31
Speaker 2: it was the carbon dioxide was driving the ocean temperatures
25:34
Speaker 2: rather than the other way around. And you know it's
25:37
Speaker 2: great they put putting the cart for the horse. Basically
25:42
Speaker 2: it's very effective scam. You know, most of the world's
25:45
Speaker 2: population probably still believes there.
25:49
Speaker 1: Well, I mean, at the end of the day, CO
25:51
Speaker 1: two is food for plants, it's food for everything. It's
25:55
Speaker 1: it's critical for life.
25:57
Speaker 2: Yeah, there wouldn't be any great plants on Earth if
26:01
Speaker 2: it wasn't for carbon dioxide.
26:04
Speaker 1: Did you see that audio? Did you see that audible?
26:06
Speaker 1: The NASA put us a couple of years ago where
26:08
Speaker 1: they they admitted that more CO two has greened the earth.
26:13
Speaker 2: Yeah. You know the plants. Plants use chlorophyll, carbon dioxide,
26:21
Speaker 2: and water and sunlight to grow. If there's not enough
26:25
Speaker 2: carbon dioxide in the air, they're not going to grow
26:27
Speaker 2: very well. But nineteen twenty Scientific American didn't experiment where
26:33
Speaker 2: they piped in industrial CO two over crops and showed
26:37
Speaker 2: a huge increase in crop yields as a result of
26:42
Speaker 2: this increased CO two. So commercial greenhouses pump large amounts
26:47
Speaker 2: of carbon dioxide over their plants to make them grow faster.
26:51
Speaker 2: There was a German scientist in nineteen twenty one who
26:55
Speaker 2: said that we were going to run out of food
26:58
Speaker 2: because there wasn't enough carbon dioxide in the atmosphere, and
27:01
Speaker 2: the solution to feeding the world was putting more carbon
27:03
Speaker 2: dioxide in the atmosphere. One hundred years ago. People recognize
27:08
Speaker 2: that the problem is a lack of carbon dioxide, not
27:11
Speaker 2: an access.
27:13
Speaker 1: But that's just for the sake of argument. Tony say, Okay,
27:18
Speaker 1: Earth is warming, like the UN is tending us, and
27:22
Speaker 1: what do they say? It's going to go up by
27:23
Speaker 1: one degree or two degrees over the next century, right,
27:27
Speaker 1: that's the prediction. Okay, so what.
27:33
Speaker 2: Yeah, I don't know what the answer to that is.
27:37
Speaker 2: And you know, there's definitely some indication the oceans are
27:40
Speaker 2: definitely warmed up. Something's going on.
27:44
Speaker 1: But I mean, are we not able to survive? I mean,
27:47
Speaker 1: have you been to Dubai. It's pretty hot there and
27:50
Speaker 1: it's a thriving city.
27:52
Speaker 2: Yeah, I don't think it. Yeah, they try to make
27:55
Speaker 2: it sound like it's just going to get too hot
27:56
Speaker 2: to live. I mean, I've lived in fear x in Houston,
28:01
Speaker 2: and now I live in Month in Wyoming where it's
28:05
Speaker 2: thirty or forty degrees cooler, and I've survived in both
28:08
Speaker 2: survived very cold and very warm temperatures. I think more
28:13
Speaker 2: of the concern is just sort of changing weather patterns,
28:17
Speaker 2: like what we're staying in the Western US. We've got
28:20
Speaker 2: you know, thirty million people depending on the Colorado River
28:25
Speaker 2: water supply, and that's that supplies drying up, and we're
28:30
Speaker 2: going to come up and have to come up a
28:33
Speaker 2: different way of living. We can't keep using water like
28:38
Speaker 2: we have been. You know, it was very wet in
28:41
Speaker 2: the Western US in the nineteen eighties. A lot of
28:44
Speaker 2: people moved out here and came to the conclusion there
28:47
Speaker 2: was always going to be that much water. But there's not,
28:50
Speaker 2: and we're gonna we're going to have to come up
28:52
Speaker 2: with solutions for how to deal with the water shortage.
28:56
Speaker 2: So I think those sort of climatic changes are the
28:59
Speaker 2: ones which we're going to are going to cause people problems.
29:04
Speaker 2: But you know, this this idea that it's going to
29:06
Speaker 2: get too hot, I think is pretty ridiculous. We have
29:09
Speaker 2: air conditioning and we know how to deal with heat.
29:13
Speaker 1: We also know how to decentiate seawater.
29:16
Speaker 2: Yeah, yeah, that's for Yeah, they can do that on
29:20
Speaker 2: the coast. But Unfortunately, you're like in places like Phoenix
29:24
Speaker 2: and Las Vegas and Denver, you can't. It's it's too
29:29
Speaker 2: it's too far away from the ocean. The amount of
29:32
Speaker 2: electricity required to pump that much water uphill to like
29:38
Speaker 2: Denver is completely unrealistic. And they can do that in California,
29:44
Speaker 2: but in Las Vegas it's probably not realistic to try
29:48
Speaker 2: to do that.
29:50
Speaker 1: Also, the thing though, is that it's based on the
29:53
Speaker 1: assumption that humans can't innovate. I mean, if this is
29:56
Speaker 1: happening over one hundred years, you could do putting, you know,
29:59
Speaker 1: you could do a lot of things in one hundred years.
30:02
Speaker 2: Yeah. Yeah. Unfortunately, our water situation in the Western US
30:06
Speaker 2: is actually a much shorter term problem than that. I mean,
30:10
Speaker 2: supposely there's going to be a big al Nina this winter,
30:13
Speaker 2: which should produce a lot of precipitation. But if that
30:16
Speaker 2: doesn't happen, we're literally going to be big cities are
30:21
Speaker 2: going to be out of water by next year. Lark
30:25
Speaker 2: that out of surface water. They're going to have to
30:28
Speaker 2: rely on pumping groundwater. So it's actually much more imminent,
30:34
Speaker 2: much more imminent problem for US than one hundred years.
30:39
Speaker 1: Okay, So yeah, but the establishment argument is that that
30:44
Speaker 1: problem that you are talking about is because of human activity.
30:49
Speaker 2: Yeah, and that's and that's really dangerous people thinking like that.
30:54
Speaker 2: The idea that if you put up solar panels or
30:56
Speaker 2: drive electric vehicles, you're going to prevent them, it's ridiculous.
31:01
Speaker 2: It's not going to have it's not going to do anything.
31:04
Speaker 2: We have to come up with real solutions to the
31:08
Speaker 2: water problems, you know. But it's very convenient for people
31:12
Speaker 2: to say we just have to solve climate change. We've
31:16
Speaker 2: got to go we do certain commissions, that's not going
31:19
Speaker 2: to change anything, and we need people focused on real problems.
31:23
Speaker 2: The problem is, on one you've got one side which
31:26
Speaker 2: is saying climate change is a bunch of bs, right
31:29
Speaker 2: that you know, it's a scam admitted by the Chinese
31:32
Speaker 2: to wipe out American industry. That's what trumpsys. And then
31:36
Speaker 2: on the other side you've got the climate armissers saying
31:40
Speaker 2: we need solar panels, we need windmills, and we had
31:44
Speaker 2: electric vehicles, and neither side's dealing with the problem. We
31:48
Speaker 2: actually do have problem climate problems and water problems in
31:53
Speaker 2: the US, which neither side wants to come up with
31:58
Speaker 2: the real solutions for and you know it's bad. I
32:03
Speaker 2: feel like I'm stuck in the middle to try to
32:06
Speaker 2: raise awareness. Yes, climate change, you know what they call it,
32:10
Speaker 2: climate change is bs ull cot thing. At the same time,
32:14
Speaker 2: we actually have real climate change problems we have to
32:18
Speaker 2: deal with, and that I've been focused on getting that
32:21
Speaker 2: message out. We have to actually deal with the real
32:23
Speaker 2: climate problems and get away from this idiotic one side
32:28
Speaker 2: versus the other side argument.
32:30
Speaker 1: But I mean, you just climate denier. Ninety seven of
32:34
Speaker 1: all scientists agree that it's because of humans.
32:37
Speaker 2: Tiny I agree that that's where their funding comes from.
32:41
Speaker 2: I think, yeah, so they have to push that line
32:46
Speaker 2: to keep the money. But you know, even if it
32:50
Speaker 2: was true, you know they we're way past There's nothing
32:55
Speaker 2: they can do about it. We depend on fossil fuels
32:59
Speaker 2: for pretty much everything. It's not realistic to try to
33:04
Speaker 2: run these huge data centers that are building off of
33:09
Speaker 2: solar and wind. It's not going to happen. Our China's
33:14
Speaker 2: building hundreds of new coal fired power plants because their
33:19
Speaker 2: industry needs it and theirs, and it's not going to
33:24
Speaker 2: be stopped. You know, the idea that they can somehow
33:26
Speaker 2: stop it by whining about calfarts or something. Just it's
33:30
Speaker 2: not They're not accomplishing anything by harping on this, And
33:35
Speaker 2: if they were smart, they would change attention to real issues.
33:41
Speaker 2: If they actually want to accomplish something, they'd focus on
33:44
Speaker 2: solutions for how to deal with water problems rather than
33:50
Speaker 2: just endlessly whining about Allegor's nonsense.
33:55
Speaker 1: A few years ago, I think around twenty eighteen twenty nineteen,
33:59
Speaker 1: we had a water crisis here. It was pretty serious.
34:04
Speaker 1: We had to use buckets to shower in for about
34:10
Speaker 1: six months or something, huge water shortages, and of course
34:15
Speaker 1: the political line was that it's climate change. As it happened.
34:19
Speaker 1: As it happened, it came out that it had to
34:21
Speaker 1: do with poor management of the dams. Yeah, had nothing
34:27
Speaker 1: to do with climate change. It had to do with broken, broke,
34:30
Speaker 1: broken infrastructure.
34:35
Speaker 2: Yeah. Yeah, I think that's probably a lot of places.
34:39
Speaker 2: That's not the problem. In the Western the US problems
34:42
Speaker 2: we just don't have enough water. Yeah. They built, they
34:45
Speaker 2: built all these huge reservoirs like Lake Powell and Lake
34:48
Speaker 2: Meat And what those reservoirs do is they exposed huge
34:52
Speaker 2: amounts of surface area to the desert and to the
34:55
Speaker 2: water evaporate, so they lose water out of those. Rather
34:59
Speaker 2: than pick coming a reservoir to save water, it just
35:02
Speaker 2: becomes more of a burden. They're they're just losing more
35:06
Speaker 2: and more water. It is, so building more reservoirs would
35:10
Speaker 2: actually make the problem worse.
35:12
Speaker 1: So what do you think could be a solution.
35:16
Speaker 2: Well, the the solution, and the biggest user of water
35:21
Speaker 2: in the Western US is agriculture. Almost the entire winter
35:26
Speaker 2: vegetable supply of the United States is growing using Colorado
35:31
Speaker 2: River water in the United States and Mexico, and at
35:38
Speaker 2: some point, they're going to have to make a choice.
35:41
Speaker 2: We're gonna have to either just make a decision to
35:44
Speaker 2: get these agricultural products from someplace else where they actually
35:49
Speaker 2: have water, or they're going to shut down the cities.
35:52
Speaker 2: And it's not likely they're going to shut down Phoenix
35:55
Speaker 2: in Las Vegas, so it seems inevitable that it's going
35:58
Speaker 2: to be the farmers who are going to have to go.
36:01
Speaker 2: But they can't do that without finding alternative sources of vegetables,
36:07
Speaker 2: like from wetter places in Central America and South America.
36:12
Speaker 2: They could get the winter vegetables from there potentially, but
36:16
Speaker 2: without government being aware of the problem and trying to
36:19
Speaker 2: do something about it's not going to happen. It's we're
36:21
Speaker 2: just kind of going charging head long towards a brick
36:26
Speaker 2: wall where there's just not gonna be enough water. And
36:30
Speaker 2: we're actually about to see that, like in southern New Mexico,
36:35
Speaker 2: in West Texas, the Rio grand is going to go
36:38
Speaker 2: dry in a few weeks, literally in a few weeks,
36:42
Speaker 2: and all these farmers like growing pecans down there, there's
36:46
Speaker 2: not gonna be any water for them, and they're going
36:49
Speaker 2: to have to start coping with us. And I think
36:52
Speaker 2: we're likely to see similar problems with farmers in the
36:55
Speaker 2: Imperial Valley in California and around human Or Zone and
37:00
Speaker 2: in the Colorado rover Netbach. California and Mexico are just
37:06
Speaker 2: about to run out of water. And you know, governments,
37:11
Speaker 2: I'm willing to deal with it. Washington wants refuses to
37:16
Speaker 2: think about it. You know, we don't. There's no plan.
37:20
Speaker 2: You know, Washington is focused on, you know, other stupid stuff,
37:25
Speaker 2: and they're not they're not aware of or even paying
37:28
Speaker 2: attention to the very real problems we're facing in the
37:31
Speaker 2: United imminent problems we're facing in the US.
37:34
Speaker 1: Now, I mean, I think it was Obama who made
37:38
Speaker 1: the ninety seven percent consensus claim initially, and so obviously
37:44
Speaker 1: he had some interest in what was going on. Does
37:48
Speaker 1: Trump have any interest in what's going on with the climate?
37:53
Speaker 2: Jumb just sees it as that's it's Obama scam, and
37:56
Speaker 2: it's China scam, and you know, it's to say, drill baby,
38:02
Speaker 2: drill DoD, you know, and so he's basically see, the
38:06
Speaker 2: problem is that the whole climate thing has been so
38:09
Speaker 2: contaminated by people like Obama. They intentionally conflated the word
38:16
Speaker 2: climate change with fossil fuels. They did that very intentionally,
38:22
Speaker 2: you know, and Trump correctly recognized the fact that they
38:25
Speaker 2: had done this. And so the problem is you can't
38:29
Speaker 2: talk about climate without it being inherently linked to fossil fuels.
38:33
Speaker 2: We have very real climate problems have nothing to do
38:36
Speaker 2: with fossil fuels, and so nobody on either side can
38:40
Speaker 2: think about the problem's trade. You can't until you can
38:44
Speaker 2: get people's brains on linked between climate change and fossil fuels,
38:49
Speaker 2: you can't actually have a serious conversation about what about
38:53
Speaker 2: the effects of what climate change are. So neither side
38:57
Speaker 2: is mentally or emotionally capable of we're dealing with her.
39:01
Speaker 1: Yeah. So in other words, it's completely contaminated or infiltrated
39:05
Speaker 1: with politics and not really about science.
39:09
Speaker 2: Yeah, there's no real science going on and so and
39:14
Speaker 2: so we can't actually cope with it until people get
39:18
Speaker 2: their thoughts trap. But there's no indication at either side.
39:22
Speaker 2: It's so polarized. It's either it's all about fossil fuels.
39:28
Speaker 2: Fast fields are good, fast feels are bad, and there's
39:33
Speaker 2: zero recognition that we have very real climate problems that
39:36
Speaker 2: have nothing to do with fossil fuels. When we're another.
39:40
Speaker 1: And I mean, I remember during the Biden administration, he
39:46
Speaker 1: promised to give our country, South Africa, I think something
39:49
Speaker 1: like ten billion US dollars if we shut down all
39:52
Speaker 1: our coal power. Now keep in mind that we are
39:55
Speaker 1: ninety percent run on coal power. This is Africa, right,
39:58
Speaker 1: so we not we know where near the waste in
40:00
Speaker 1: the world, and shutting down coal power and we run
40:05
Speaker 1: on mines, how do you power mines with solar panels?
40:10
Speaker 2: Yeah, it's just ridiculous. It's both sides are completely ridiculous.
40:16
Speaker 1: About I'm a fan of nuclear, but you have the
40:19
Speaker 1: entire green lobby that is anti nuclear.
40:22
Speaker 2: Yeah, yeah, I mean we have we have huge supplies
40:27
Speaker 2: of coal in the world and it's ridiculous to not
40:30
Speaker 2: use them. And China recognizes us. They're using their coal.
40:39
Speaker 2: You know, the United States we have where I live
40:41
Speaker 2: in Wyoming, we have massive coal reserves and they're shutting
40:46
Speaker 2: them down. There's like, I think there's four or five
40:51
Speaker 2: coal fire power plants in Wyoming. Bill Gates convinced the
40:56
Speaker 2: governor to shut one of our coal plants down and
40:59
Speaker 2: build one of these modular nuclear plants instead, which is stupid.
41:05
Speaker 2: Wyoming is not the place to do that. We don't
41:07
Speaker 2: have any water here. They should be they should just
41:11
Speaker 2: be using the coal plant. There's no reason to shut
41:13
Speaker 2: down coal plants here. We have massive supplies of coals.
41:18
Speaker 2: They should keep the cold plants open, build the modular
41:22
Speaker 2: nuclear someplace else. So even here in Wyoming, now we're
41:26
Speaker 2: the most republican state, you know, people are still stupid
41:29
Speaker 2: about they should be key. They should be building more
41:34
Speaker 2: coal fired power plants because we have huge amounts of coal.
41:38
Speaker 2: But the governments bought off on that and they're using
41:43
Speaker 2: the same scam, the carbon sequest tration scam, as a
41:49
Speaker 2: front to build massive data centers here in Wyoming too,
41:53
Speaker 2: which also have no business being here. They should not
41:56
Speaker 2: be building data centers here. We're having an extreme dress.
42:00
Speaker 2: There's no water here. We don't need the people, we
42:03
Speaker 2: don't need the data centers. Build them somewhce else where
42:06
Speaker 2: they've got water and they can cool them.
42:10
Speaker 1: I was in China lost year, and they don't care
42:13
Speaker 1: about what the waste the world is doing. They build everything, right.
42:16
Speaker 1: They got cold nuclear wind, so they got everything and
42:21
Speaker 1: it's working.
42:23
Speaker 2: Yeah, yeah, it's not just it's not just the energy.
42:29
Speaker 2: They planned ahead twenty years ago for their whole data
42:33
Speaker 2: center thing. They built these massive power plants on western China,
42:39
Speaker 2: and they built a fiber optic net group to bring
42:42
Speaker 2: data from the east where everybody lives, out to the
42:47
Speaker 2: west where the electricity is, so they're able to get
42:51
Speaker 2: They don't have the energy problem with their data centers
42:54
Speaker 2: like they do in the United States because they planned ahead.
42:58
Speaker 2: They've got the energy, they've got the compute power on
43:02
Speaker 2: western China, and they've got fiber optics, you know, to
43:06
Speaker 2: instantly bring the data from you know, Shanghai and the
43:11
Speaker 2: other eastern cities where they where they need the data.
43:15
Speaker 2: And so they're able to get by with their data
43:18
Speaker 2: centers in China. They've got one tenth as many data
43:21
Speaker 2: centers in China as they do in the US. They're
43:24
Speaker 2: able to get by with that because they planned ahead
43:27
Speaker 2: twenty years ago, whereas now in the US, you know,
43:29
Speaker 2: it's sort of this desperate thing. We can't compete with China.
43:33
Speaker 2: We need to build these massive data centers everywhere. So
43:36
Speaker 2: they're building them in really stupid places like Cheyenne, Wyoming
43:40
Speaker 2: and where I live in Salt Lake City, just because
43:44
Speaker 2: nobody thought I had. They didn't plan ahead. And frankly,
43:52
Speaker 2: I work with AI all the time. Frankly, China is
43:56
Speaker 2: kicking the US's but with AI, like I use their
44:03
Speaker 2: model deep seek because like the one tenth or one
44:08
Speaker 2: twentieth as much as Claude or open AI. Why would
44:12
Speaker 2: I even think about using Claude or open AI. But
44:15
Speaker 2: I could get essentially the same thing from China for
44:19
Speaker 2: almost nothing. And that's you know, they don't want to
44:24
Speaker 2: have this discussion in the United States. We didn't plan
44:29
Speaker 2: ahead an hour're desperately trying to compete.
44:32
Speaker 1: Now that's an interesting point, though, Tony, Why do you
44:35
Speaker 1: think the US didn't plan ahead. And I actually think
44:39
Speaker 1: that what you're saying that doesn't apply only to the US.
44:41
Speaker 1: I think it's right across the Western world.
44:45
Speaker 2: Yeah. Well, you know, the the US model, proprietary model
44:49
Speaker 2: of all these companies competing against each other and they're
44:53
Speaker 2: trying to get an advantage with each other. China did
44:56
Speaker 2: the opposite. They did open source models. And you know,
45:03
Speaker 2: there's their universities, Like ninety percent of the world's AI
45:07
Speaker 2: research comes out of Chinese universities. But I think one
45:13
Speaker 2: thing that's really helped the Chinese aid has been US
45:17
Speaker 2: expert restrictions. You know, we've sort of desperately been preventing
45:22
Speaker 2: like Nvidia and and other hi tech experts from going
45:26
Speaker 2: to China, which forced China to develop their own technology.
45:31
Speaker 2: So they've got like whu Qiui and and companies like
45:37
Speaker 2: deep Seek and Moonshot. Then I say, well, we can't
45:41
Speaker 2: get the US technology, so we'll just develop our own.
45:44
Speaker 2: And so now they've got they've all got all this
45:46
Speaker 2: great technology in China, which were the direct results of
45:52
Speaker 2: the US expert controls preventing them from using the US products.
45:56
Speaker 2: So so yeah, they planned to head they they developed
46:00
Speaker 2: their own technology and now they're not dependent on on
46:04
Speaker 2: the US technology. In fact, I think they banned the
46:08
Speaker 2: highest imports of the highest end video GPU that video
46:14
Speaker 2: is allowed to ship them because they're just using Kuwei instead.
46:19
Speaker 2: So just a whole bunch of really bad decisions made
46:23
Speaker 2: in the United States that have have been put us
46:26
Speaker 2: in this position.
46:28
Speaker 1: It's funny you say that around me, most of the
46:30
Speaker 1: technology is Chinese. And I have Apple products which you
46:34
Speaker 1: could argue are American, but they're actually all made in
46:37
Speaker 1: China too.
46:38
Speaker 2: Yeah, yeah, exactly, And and you know they're about to uh,
46:46
Speaker 2: there's there's there's a Chinese company that's about to get
46:49
Speaker 2: into the de or commercial d ram market in a
46:52
Speaker 2: big way. That's going to crash, you know, consumer d
46:56
Speaker 2: raum prices for American companies. You know, I think the
47:03
Speaker 2: Chinese have tried to have sort of a cooperative try
47:07
Speaker 2: to develop AI cooperatively, whereas the US it's all been
47:10
Speaker 2: all competition. And I think the Chinese approach is this
47:14
Speaker 2: paying off for them?
47:17
Speaker 1: Well, I, as you know, live in Africa, so we
47:19
Speaker 1: are neither Western nor Asian. We we the little kid
47:24
Speaker 1: in the playground that's on the side watching everybody. And
47:27
Speaker 1: then later on we'll we'll we'll take what works best. Yeah,
47:34
Speaker 1: where do you see then, because you sound quite pessimistic
47:36
Speaker 1: about the US, Where do you see it heading in
47:38
Speaker 1: the next generation in terms of everything were talking about
47:40
Speaker 1: climate as well as tech.
47:42
Speaker 2: Yeah, well, you know, we we've depended on China for
47:47
Speaker 2: a really long time. I worked in Silicon Valley for
47:50
Speaker 2: a long time, and everyone, you know, everyone out there,
47:56
Speaker 2: it's like a val I lived in Cooper Tina. I
47:59
Speaker 2: was like two thirds of the people that are from China.
48:03
Speaker 2: That's where Apple computers looking. So it's been that way forever.
48:08
Speaker 2: I was out there thirty years ago. So we've depended
48:10
Speaker 2: on Chinese talents because American schools suck. They're American education,
48:17
Speaker 2: you know, well, well, Chinese students are learning about engineering
48:20
Speaker 2: and technology. American students are learning about climate and gender sucks.
48:27
Speaker 2: So it's the whole generation of kids out there now
48:30
Speaker 2: that they're experts on out Al Gore's movie and you know,
48:34
Speaker 2: eight fifty one different genders, whereas Chinese kids have been
48:38
Speaker 2: learning mathematics and engineering and science. So we're not really
48:44
Speaker 2: the competitive position right now. We're very dependent on them.
48:48
Speaker 2: So the first thing America would have to do if
48:51
Speaker 2: if we're going to survive, this is fix the educational system.
48:55
Speaker 2: You know, they got to get to get rid of
48:57
Speaker 2: this climate bs and the genders and kids have to
49:01
Speaker 2: go to school. And you know, George Bush did this
49:04
Speaker 2: no Child Left Behind thing which basically lowered the school
49:08
Speaker 2: systems down to the lowest commons and nominated. What he
49:15
Speaker 2: actually did was no child gets ahead. When he did that,
49:19
Speaker 2: we need to have a competitive school system where kids
49:22
Speaker 2: who can't compete they go do something else, and let's say,
49:26
Speaker 2: and where the smartest kids get ahead, and so we
49:30
Speaker 2: actually can compete with Chinese students. We're not doing that
49:33
Speaker 2: now unfortunately. And yeah, just every year that goes by,
49:39
Speaker 2: we're getting further and further behind what they're doing in
49:42
Speaker 2: China because our educational system is so bad.
49:47
Speaker 1: So he said, George Bush, he was the if you're
49:50
Speaker 1: talking about George W. Bush, he was the president who
49:52
Speaker 1: said is our children learning?
49:58
Speaker 2: That would be the one.
50:03
Speaker 1: Well, I continue right now, your education system is still
50:06
Speaker 1: better than ours?
50:08
Speaker 2: Is it?
50:09
Speaker 1: That's scary?
50:14
Speaker 2: I'm not. You know, I've we hired a couple of
50:21
Speaker 2: computer science graduates that's small startup which I'm working for
50:26
Speaker 2: right now, and we'll try them out for a few months,
50:30
Speaker 2: just got rid of them because you could get a
50:33
Speaker 2: lot more done with AI than I can with the
50:37
Speaker 2: computer science scratch. They didn't learn anything. And I know
50:41
Speaker 2: a young guy who did its semester of computer science
50:46
Speaker 2: at at the University of Colorado. He learned as much
50:50
Speaker 2: and a semester as I did in one week when
50:52
Speaker 2: I was in college in nineteen eighties. Yeah, it's a joke.
50:56
Speaker 2: The American educational system is a joke, right, Yeah, And
51:01
Speaker 2: he said, he said, it's worse in South Africa. So
51:05
Speaker 2: we're totally dependent. We're totally dependent on the educational system
51:09
Speaker 2: of China to keep our companies going. And if you look,
51:14
Speaker 2: if you look at like who's the you know, the
51:17
Speaker 2: head heads of our companies Intel and A M D
51:21
Speaker 2: and Nvidia, you know, they're all from Taiwan or China, right,
51:27
Speaker 2: And it's kind of like that across the board. The
51:30
Speaker 2: talent comes from from from Asia, and and that's because
51:35
Speaker 2: they have better schools and and they're actually learning something.
51:40
Speaker 2: I mean.
51:40
Speaker 1: Yeah, but I mean, if you watch Trump, he does
51:42
Speaker 1: seem to have a vendetta against China.
51:45
Speaker 2: Yeah, which is a huge mistake. He should be figuring
51:51
Speaker 2: out how to how to cooperate with China because we
51:56
Speaker 2: need them when we desperately need China's technology, And if
52:00
Speaker 2: we're working with them, rather than getting into this AI
52:04
Speaker 2: mass which we were in, we could actually be we
52:09
Speaker 2: could be competitive, and we could actually maybe protect the
52:13
Speaker 2: human race from being destroyed by AI in the future.
52:18
Speaker 2: This competitive situation just is just really bad. It's bad
52:22
Speaker 2: for the United States and it's not working. I'm really
52:26
Speaker 2: concerned that China's going to end up wiping out US
52:29
Speaker 2: and AI if we we don't change directions. Well, like
52:35
Speaker 2: I said, literally, I can use Claude or I can
52:39
Speaker 2: use Deep Seek for one twentieth the price. Why would
52:44
Speaker 2: I use Claude. It doesn't there's no there's no use
52:48
Speaker 2: case for me where it makes sense.
52:50
Speaker 1: Right now, I've got a Chinese call and it's it's
52:55
Speaker 1: a it's a full ball four, and it's a fraction
52:57
Speaker 1: of the cost of the equivalent European for example.
53:01
Speaker 2: Yeah, yeah, they've banded Chinese electric vehicles in the United
53:06
Speaker 2: States because you know, because Tesla can't compete against by d.
53:13
Speaker 1: FF. Tesla's made in China. By the way, Mike is
53:18
Speaker 1: not EV, mics not EV. We don't have enough electricity
53:21
Speaker 1: for ev Okay, No, I'm still I'm still all for us.
53:29
Speaker 2: Yeah, well fifty Tesla's been hinting the other fifty made
53:35
Speaker 2: by robots.
53:39
Speaker 1: Tony. I'm trying to find I'm trying to find a
53:41
Speaker 1: way to pull this back to our climate chat because
53:43
Speaker 1: we're coming in. We're kind of coming in for the
53:45
Speaker 1: final lap, right, And I think the moral of the
53:52
Speaker 1: story is is what.
53:54
Speaker 2: The moral of the story is. We've got to get
53:56
Speaker 2: our educational systems straight. Now, you know, we got to
54:00
Speaker 2: get rid of this al gore, you know, inconvenient truth garbage,
54:05
Speaker 2: the whole climate stuff, the whole gender thing, and you've
54:08
Speaker 2: got to start kids need to start learning some actual skills.
54:12
Speaker 2: They need to learn how to read and do science
54:15
Speaker 2: and engineering, and they've they've all got to become experts
54:17
Speaker 2: in AI if they're going to survive, and we really
54:21
Speaker 2: need to be focused on that. And then it's from
54:23
Speaker 2: the government point of view, we've got to get away
54:25
Speaker 2: from this climate change versus fossil fuels to be because
54:31
Speaker 2: that's the whole thing's a scam. And then we need
54:36
Speaker 2: to develop our energy resources, like so we need everything
54:40
Speaker 2: like China has. We need coal, nuclear, gas, wind, solar.
54:46
Speaker 2: We need all those things to be competitive, and we
54:52
Speaker 2: need to have a same strategy for data centers. For
54:59
Speaker 2: right now, they're just desperately throwing them in stupid places.
55:03
Speaker 2: I mean, if you look with their I think I'm
55:05
Speaker 2: going to make a video about this. We look what
55:07
Speaker 2: they're doing in Cheyenne. They're a building these massive data
55:10
Speaker 2: centers here in Chyna, and the theory is that it's
55:15
Speaker 2: good to put them here because the climate's relatively cool
55:18
Speaker 2: and it releases their cooling costs. But the problem is
55:21
Speaker 2: there's no water here, so they can't use evaperative cooling.
55:25
Speaker 2: So what they do is they just have to dissipate
55:27
Speaker 2: the heat around their around their data center. So they're
55:30
Speaker 2: creating a massive heat island, incomprehensively huge heat island around
55:36
Speaker 2: their data center, so that they then they no longer
55:40
Speaker 2: have the advantage of a cool climate. Now they're trying
55:43
Speaker 2: to dissipate eat into a place which is twenty degrees
55:46
Speaker 2: warmer than what the ambient should be, and they haven't
55:50
Speaker 2: solved anything. In fact, it's probably more difficult it's cool
55:53
Speaker 2: here instead of doing that, but they should have just
55:56
Speaker 2: built their data center somewhere there's water and they can
56:00
Speaker 2: years of operative cooling and actually not create these huge
56:05
Speaker 2: environmental problems which they're creating. Yea, I'm probably going to
56:08
Speaker 2: make a video, but I because it's so incredibly stupid
56:11
Speaker 2: how they didn't think through the whole thought process. But yeah,
56:16
Speaker 2: we're just doing everything wrong and stupid and it's I
56:21
Speaker 2: know I sound very negative right now, but it's it's
56:25
Speaker 2: hard to get past that when I see all the
56:27
Speaker 2: really bad governmental policy and decisions that are being made
56:32
Speaker 2: and a wide variety of topics right now.
56:35
Speaker 1: Well, when you live in South Africa, your BO is
56:38
Speaker 1: so low that anywhere you look it is genuinely positive.
56:43
Speaker 2: Well that's that's good, all right, Tony.
56:49
Speaker 1: For those who don't know your work, where can they
56:53
Speaker 1: follow you?
56:54
Speaker 2: Yeah? I think the best place mostly is on Twitter,
57:00
Speaker 2: you know X just Tony Climate. I also post videos
57:07
Speaker 2: on YouTube Tony Heller, and I got a blog, real
57:12
Speaker 2: climatescience dot com.
57:15
Speaker 1: Well that website is the one that changed me.
57:18
Speaker 2: Yeah. Yeah, I haven't been putting a lot of stuff
57:21
Speaker 2: on there recently because it's too slow, But I just
57:25
Speaker 2: had open clock or write some scripts for me so
57:28
Speaker 2: that when I post stuff on X It's really easy
57:32
Speaker 2: for me to post it to word cross too, so
57:35
Speaker 2: I'm going to start using those. So if I make
57:37
Speaker 2: an interesting post on X, I'll post it to do
57:41
Speaker 2: that's real climatescience dot com too.
57:44
Speaker 1: Well, your website hasn't really changed much in terms of
57:48
Speaker 1: hard looks. Yeah, quite a long time.
57:52
Speaker 2: I've tried the CAREV retired to keep it that way there.
57:56
Speaker 2: Just keep it predictable. But like I said, I haven't
57:59
Speaker 2: been posting much. This is too slow. I post tons
58:03
Speaker 2: of stuff on X, but X is really easy. Word
58:06
Speaker 2: for us is just slower process.
58:09
Speaker 1: Tony Hila, thank you for joining me in the trenches.