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These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:06,000 In the spring of 2015, I went to Princeton University to interview Professor William Happer. 2 00:00:06,000 --> 00:00:13,000 When I interviewed him, I was aware that he was a CO2 and its impact on climate contrarian. 3 00:00:13,000 --> 00:00:21,000 Mr. Happer points out carbon dioxide is an important trace gas and an integral part of the carbon cycle. 4 00:00:21,000 --> 00:00:30,000 A biogeochemical cycle in which carbon is exchanged between the oceans, soil, rocks, and the biosphere. 5 00:00:30,000 --> 00:00:38,000 Virtually all of life on the planet requires CO2 concentrations to be above 150 parts per million. 6 00:00:38,000 --> 00:00:47,000 The concentration of CO2 in the atmosphere over the past 500 million years has been as high as 4,000 parts per million 7 00:00:47,000 --> 00:00:51,000 and is lowest 180 parts per million. 8 00:00:51,000 --> 00:01:05,000 Since 1880 when CO2 was measured at Monolea in Hawaii, levels have risen from 280 parts per million to 413 parts per million as of April 2019. 9 00:01:05,000 --> 00:01:13,000 Mr. Happer, as you will hear, says the impact of CO2 on temperature rise has already taken effect 10 00:01:13,000 --> 00:01:21,000 and he points to the logarithmic scale, which is a non-linear scale often used to analyze a large range of quantities. 11 00:01:21,000 --> 00:01:29,000 According to Mr. Happer, it would take another 400 parts per million to affect temperature by one additional degree. 12 00:01:29,000 --> 00:01:34,000 Mr. Happer is also aware of the fally of predictions. 13 00:01:34,000 --> 00:01:41,000 And he, like Freeman Dyson, points to the inability of models to accurately predict climate outcomes. 14 00:01:41,000 --> 00:01:48,000 Then add in the length of day, which changes by milliseconds, transferring massive amounts of energy, 15 00:01:48,000 --> 00:01:58,000 mostly into the oceans, causing oscillations that, according to climatologist Judith Curry, are not considered in current climate models. 16 00:01:58,000 --> 00:02:05,000 It begs the question, is the science of climate really settled? Can it ever be? 17 00:02:05,000 --> 00:02:17,000 Now, Mr. Happer's position on climate, his scientific credentials, and his role in the Trump administration have made him a very large target. 18 00:02:17,000 --> 00:02:24,000 He is a physicist who specialized in the study of atomic physics, optics, and spectroscopy. 19 00:02:24,000 --> 00:02:33,000 He is the Sirius Fogg Bracket Professor of Physics, and he is the Davison Germer Prize winner in atomic or surface physics. 20 00:02:33,000 --> 00:02:47,000 He is not, nor could he be, a climate scientist, because that designation is so new that UCLA, for example, only just launched a degree program in 2018. 21 00:02:47,000 --> 00:03:00,000 Since this interview, Greenpeace outed him in a sting operation, and President Donald Trump recruited Professor Happer to be a member of a presidential committee on climate security. 22 00:03:00,000 --> 00:03:14,000 However, in September of 2019, the unflinching Mr. Happer quit. According to Science Magazine, while Happer may have been unflinching, Trump's White House isn't. 23 00:03:14,000 --> 00:03:19,000 So on September the 13th, 2019, Mr. Happer resigned. 24 00:03:19,000 --> 00:03:28,000 Professor Happer, as you will see in this interview, firmly believes the impact of CO2 has been misrepresented. 25 00:03:28,000 --> 00:03:34,000 Conversations That Matter is a partner program of the Center for Dialogue at Simon Fraser University. 26 00:03:34,000 --> 00:03:39,000 The production of this program is made possible thanks to the following and viewers like you. 27 00:03:39,000 --> 00:03:43,000 Please become a patron at ConversationsThatMatter.tv. 28 00:03:43,000 --> 00:03:54,000 It's not very often that we get to talk to somebody with your level of scientific background about climate, because when it comes to discussing climate, you actually have a sense of what's going on. 29 00:03:54,000 --> 00:04:03,000 And I frame that by saying sense, because I think that the topic of the science of climate is very complex. Am I right about that? 30 00:04:03,000 --> 00:04:06,000 Oh yes, it's a very complicated system. 31 00:04:06,000 --> 00:04:22,000 Do you understand where we're at as far as climate is concerned? Are we changing as a result of human activity? Is human activity contributing? And if so, then what extent? 32 00:04:22,000 --> 00:04:30,000 Well, of course, the climate changes all the time. It always has. And it's warmed a little bit in the last 100 years, apparently. 33 00:04:30,000 --> 00:04:33,000 About 0.8 degrees Celsius? 34 00:04:33,000 --> 00:04:47,000 Yeah, nobody knows whether that's got a human component or not. I mean, most of the warming, for example, was over by 1940, you know, long before there was much additional CO2 in the air. 35 00:04:47,000 --> 00:04:52,000 But there was a period in the late 1980s where the temperature did spike. 36 00:04:52,000 --> 00:05:00,000 Indeed, there was warming of 3 or 4 tenths of a degree from 1980 to year 2000. 37 00:05:00,000 --> 00:05:05,000 But there were a couple of years in there where we had an El Nino and an El Niño effect. 38 00:05:05,000 --> 00:05:06,000 Right. 39 00:05:06,000 --> 00:05:09,000 Did that play a role? Do we know that for certain? 40 00:05:09,000 --> 00:05:17,000 Well, you see El Niño is very clearly on the temperature record whenever there's El Niño. The whole earth looks a little bit warmer. 41 00:05:17,000 --> 00:05:25,000 That's because the Pacific gets covered with warm water that used to be all pushed together against Australia and Indonesia. 42 00:05:25,000 --> 00:05:29,000 But during El Niños, it spreads back all the way to South America. 43 00:05:29,000 --> 00:05:32,000 Right. It reverses its flow across the Pacific. 44 00:05:32,000 --> 00:05:33,000 Yeah. 45 00:05:33,000 --> 00:05:36,000 And then radiates up and down the coastline of North America. 46 00:05:36,000 --> 00:05:43,000 Yeah. There was a monster El Niño in 1998, which sort of was the peak of the warming. 47 00:05:43,000 --> 00:05:45,000 So that was a bit artificial. 48 00:05:45,000 --> 00:05:48,000 But there are El Niños ever four or five years. 49 00:05:48,000 --> 00:05:53,000 You do work with the US government in helping people to understand climate. 50 00:05:53,000 --> 00:06:00,000 When you talk to them about the way that climate is presented, what are you telling them these days? 51 00:06:00,000 --> 00:06:09,000 The government doesn't normally ask me these days, but I do tell them that climate obviously is important. 52 00:06:09,000 --> 00:06:15,000 It does change. There's very little evidence that humans are making much impact. 53 00:06:15,000 --> 00:06:22,000 And as far as CO2 is concerned, which is the major focus, that's probably more good than bad. 54 00:06:22,000 --> 00:06:29,000 Now, I can hear people yelling at the screen right now saying, what do you mean CO2 doesn't make much difference? 55 00:06:29,000 --> 00:06:38,000 Well, I know a lot about CO2 compared to most climate scientists because we make CO2 lasers. 56 00:06:38,000 --> 00:06:42,000 And CO2 is a very interesting molecule. 57 00:06:42,000 --> 00:06:52,000 And the particular mode of CO2 that contributes to global warming, CO2 is a rod, and it bends like this up and down, up and down. 58 00:06:52,000 --> 00:06:57,000 And it's that bending motion that causes global warming. 59 00:06:57,000 --> 00:07:02,000 But that is such a strong absorption that it's saturated now. 60 00:07:02,000 --> 00:07:06,000 So as you add more CO2, most of what you can do has already been done. 61 00:07:06,000 --> 00:07:08,000 There's still a little addition, but not very much. 62 00:07:08,000 --> 00:07:12,000 Can you explain that to me in a little greater depth? What do you mean it's already been done? 63 00:07:12,000 --> 00:07:22,000 Well, if you have a barn and you want to paint it red, if you paint a red paint, it may not be quite red enough. 64 00:07:22,000 --> 00:07:28,000 If you put two or three, then it really looks red. After that, if you add more red, it doesn't make much difference. 65 00:07:28,000 --> 00:07:35,000 And so that's sort of what CO2 is doing now, that most of the easy absorption has been done. 66 00:07:35,000 --> 00:07:41,000 And so as you add more CO2, you get a little broadening. 67 00:07:41,000 --> 00:07:44,000 I don't want to get too technical. 68 00:07:44,000 --> 00:07:50,000 Well, no, I find this fascinating because, and the reason that I find it fascinating is that I hear that, 69 00:07:50,000 --> 00:08:00,000 okay, we've gone from about 320, 330 parts per million going back in the last 100 years now to just shy of 400 parts per million if we measure it in Hawaii. 70 00:08:00,000 --> 00:08:10,000 And along the way, we've heard predictions of different catastrophic outcomes as we push our way through different maximums. 71 00:08:10,000 --> 00:08:17,000 I haven't seen them happening, even though people will attribute some weather change to that. 72 00:08:17,000 --> 00:08:27,000 You're saying that if we push through 400 and get to 500, the difference between 350 and 400 is greater than that between 400 and 500. 73 00:08:27,000 --> 00:08:33,000 Yeah, there's an interesting thing about CO2, which is unique to CO2. 74 00:08:33,000 --> 00:08:36,000 It's not true, for example, of water, paper, or methane. 75 00:08:36,000 --> 00:08:49,000 It's just that if you get one degree of warming from doubling CO2, so going from, say, 400 parts per million for simplicity to 800, that doubles it. 76 00:08:49,000 --> 00:08:58,000 Suppose that causes one degree of warming, then to get another degree of warming, you have to double 800 so that you have to go to 1600. 77 00:08:58,000 --> 00:09:00,000 So you have to double it again. 78 00:09:00,000 --> 00:09:13,000 So it gets harder and harder to warm. Technically, they call that the logarithmic dependence of temperature rise on CO2 concentration. 79 00:09:13,000 --> 00:09:21,000 It was first guessed at, really, by Svante Arrhenius, who did some of the earliest work on global warming. 80 00:09:21,000 --> 00:09:24,000 He thought it was good. He was all for global warming. 81 00:09:24,000 --> 00:09:31,000 But he was the first one to point out this doubling property of CO2. Nobody quite knows how he guessed it. It's correct. 82 00:09:31,000 --> 00:09:33,000 Because he wasn't using computer models. 83 00:09:33,000 --> 00:09:40,000 Well, I mean, it was before quantum mechanics. You know, he didn't even know about spontaneous emission. It was before Planck. 84 00:09:40,000 --> 00:09:43,000 But nevertheless, he guessed it correctly. 85 00:09:43,000 --> 00:09:45,000 It's quite remarkable, isn't it? 86 00:09:45,000 --> 00:09:46,000 Quite a guy. 87 00:09:46,000 --> 00:09:53,000 Conversations to Matter is brought to you by Audlem Brown, a client-focused investment firm that starts client relationships 88 00:09:53,000 --> 00:10:00,000 with straightforward conversations focused on you, your aspirations, and your investment priorities. 89 00:10:00,000 --> 00:10:05,000 Audlem Brown has been a supporter of conversations that matter from the day we started this show. 90 00:10:05,000 --> 00:10:12,000 Their only condition was that we provide a non-bias conversation with people from all sides of all sorts of issues. 91 00:10:12,000 --> 00:10:16,000 And of course, we couldn't produce this show without the support of O-Boy Productions. 92 00:10:16,000 --> 00:10:20,000 If you're looking to produce a show like this one, I suggest you reach out to O-Boy. 93 00:10:20,000 --> 00:10:24,000 They can help you produce it and they can help you build your audience. 94 00:10:24,000 --> 00:10:27,000 And we also need your support. 95 00:10:27,000 --> 00:10:32,000 I ask you to please pledge $1 per show by going to conversationsthetmatter.tv. 96 00:10:32,000 --> 00:10:38,000 Slash donate because those dollars add up and play an important role in helping us produce this show. 97 00:10:38,000 --> 00:10:42,000 Now, back to the show. 98 00:10:42,000 --> 00:10:46,000 So, CO2, you know quite a bit about it. 99 00:10:46,000 --> 00:10:50,000 Is it all negative? And if not, then what are the benefits? 100 00:10:50,000 --> 00:10:58,000 Well, I think the main benefit of CO2 is it's the food for plants. 101 00:10:58,000 --> 00:11:03,000 Plants really need three things. They need light for photosynthesis. 102 00:11:03,000 --> 00:11:07,000 They need water and they need CO2. 103 00:11:07,000 --> 00:11:11,000 Plants are made of carbon. You know, when I hear about carbon pollution, you know, we're all made of carbon. 104 00:11:11,000 --> 00:11:17,000 Plants are made of carbon. People made of carbon. You know, your hamburgers made of carbon. 105 00:11:17,000 --> 00:11:24,000 But CO2 is used by plants. If you go to a cornfield, for example, in mid-summer, and you measure CO2, 106 00:11:24,000 --> 00:11:31,000 it's about half what it would be at night because the corn plant has sucked so much CO2 out of the air 107 00:11:31,000 --> 00:11:39,000 that it's now limited on how fast it can make you sugar and grow by the amount of CO2. 108 00:11:39,000 --> 00:11:46,000 So, if you double the CO2, the corn can grow better. There's more of it there. It doesn't suck it down so quickly. 109 00:11:46,000 --> 00:11:49,000 So, that's number one, it's an essential plant food. 110 00:11:49,000 --> 00:11:56,000 And the other thing is it gives drought resistance to plants. 111 00:11:56,000 --> 00:12:03,000 Because a plant has this problem that when it gets CO2, it doesn't suck it up from the roots. 112 00:12:03,000 --> 00:12:10,000 It has to open up little holes in its leaf and so CO2 molecule bounces around and other air molecules gets into the hole. 113 00:12:10,000 --> 00:12:17,000 For every CO2 that goes into this hole, 100 water molecules may fuse out from the interior of the plant. 114 00:12:17,000 --> 00:12:24,000 So, the plant is squandering water as it's trying to, you know, make food, you know, from photosynthesis. 115 00:12:24,000 --> 00:12:30,000 So, if you look at, say, a gram of sugar, to make a gram of sugar takes 100 grams of water. 116 00:12:30,000 --> 00:12:33,000 So, there's huge amounts of water used in photosynthesis. 117 00:12:33,000 --> 00:12:38,000 Now, more than should be because we're essentially in a CO2 famine. 118 00:12:38,000 --> 00:12:40,000 We're in a CO2 famine. 119 00:12:40,000 --> 00:12:42,000 Famine, famine. We have too little CO2. 120 00:12:42,000 --> 00:12:45,000 So, it had 400 parts per million. 121 00:12:45,000 --> 00:12:47,000 Four hundred is still too small. 122 00:12:47,000 --> 00:12:58,000 If you look at the geological history of the world, we started getting good fossils about 550 million years ago, in Cambrian. 123 00:12:58,000 --> 00:13:06,000 Since that time, CO2 levels have averaged thousands of parts per million, not a few hundred parts per million, 124 00:13:06,000 --> 00:13:11,000 much, much higher, factors of four, five, ten even. 125 00:13:11,000 --> 00:13:15,000 And so, plants really evolved when there was a lot more CO2 to eat. 126 00:13:15,000 --> 00:13:17,000 You know, now they don't have enough. 127 00:13:17,000 --> 00:13:19,000 And you can see lots of evidence for that. 128 00:13:19,000 --> 00:13:27,000 There are certain plants, for example, that are called C4 plants that are adapted to the low CO2 levels. 129 00:13:27,000 --> 00:13:33,000 We have now, they typically are in hot regions of the Earth. 130 00:13:33,000 --> 00:13:35,000 Sugarcane is an example. 131 00:13:35,000 --> 00:13:39,000 Corn, American corn, maize is another example. 132 00:13:39,000 --> 00:13:46,000 But most of our agriculture plants use the old-fashioned photosynthesis, which is called C3. 133 00:13:46,000 --> 00:13:51,000 And that's a more efficient way to operate if you have plenty of CO2, 134 00:13:51,000 --> 00:13:53,000 but there isn't plenty of CO2 anymore. 135 00:13:53,000 --> 00:13:55,000 There's not enough. 136 00:13:55,000 --> 00:14:02,000 So, as CO2 levels have been going up, the old-fashioned C3 plants, and that includes soybeans and weeds and cotton, 137 00:14:02,000 --> 00:14:07,000 actually most plants are C3, they're doing very, very well. 138 00:14:07,000 --> 00:14:09,000 With an increase in CO2? 139 00:14:09,000 --> 00:14:11,000 With an increase in CO2. 140 00:14:11,000 --> 00:14:13,000 Very, very noticeable. 141 00:14:13,000 --> 00:14:14,000 It's a huge effect. 142 00:14:14,000 --> 00:14:19,000 You know, it's worth hundreds of billions of dollars every year in agricultural productivity. 143 00:14:19,000 --> 00:14:27,000 So when people talk about the social cost of carbon, it's absurd. The social cost is negative of CO2. 144 00:14:27,000 --> 00:14:33,000 Because it's a net contributor to agricultural productivity. 145 00:14:33,000 --> 00:14:37,000 You shouldn't confuse that with real pollution from a coal plant. 146 00:14:37,000 --> 00:14:41,000 A coal plant, if you don't build it right, scatters fly ash all over. 147 00:14:41,000 --> 00:14:45,000 Everybody may have sulfur, and all sorts of horrible things can come out. 148 00:14:45,000 --> 00:14:47,000 But the CO2 is actually good. 149 00:14:47,000 --> 00:14:52,000 We're not paying attention these days to that coal plant so much. 150 00:14:52,000 --> 00:14:59,000 So much of our focus seems to be on man-made global warming. 151 00:14:59,000 --> 00:15:01,000 Yeah, yeah. 152 00:15:01,000 --> 00:15:06,000 And do you think that we're missing the appropriate target right now? 153 00:15:06,000 --> 00:15:15,000 Yeah, I mean, it's another one of these sort of mass hysterias that have gripped humanity since it began. 154 00:15:15,000 --> 00:15:23,000 In our country in America, we had a sort of similar case of mass hysteria with prohibition. 155 00:15:23,000 --> 00:15:28,000 There were a few cautious people who said maybe prohibition isn't a good idea. 156 00:15:28,000 --> 00:15:31,000 It might increase organized crime, for example. 157 00:15:31,000 --> 00:15:33,000 Everything they said was right. 158 00:15:33,000 --> 00:15:38,000 And yet, when the amendment for prohibition was put to the vote, 159 00:15:38,000 --> 00:15:43,000 every state except one, Rhode Island, voted for prohibition. 160 00:15:43,000 --> 00:15:46,000 And one of them intended to honor it. 161 00:15:46,000 --> 00:15:48,000 It was just what everybody else did. 162 00:15:48,000 --> 00:15:53,000 How could you be in favor of demon-ram, demon-CO2? 163 00:15:53,000 --> 00:15:56,000 So these things happen. 164 00:15:56,000 --> 00:15:59,000 More sinister are these movements in Europe. 165 00:15:59,000 --> 00:16:06,000 The fascists, the communists, they were mass hysteria too. 166 00:16:06,000 --> 00:16:10,000 Well, and with true catastrophic consequences. 167 00:16:10,000 --> 00:16:12,000 Indeed, yes, yes. 168 00:16:12,000 --> 00:16:16,000 But they can be captured by thugs, and that's what's happened. 169 00:16:16,000 --> 00:16:19,000 So you've talked about the benefits of CO2. 170 00:16:19,000 --> 00:16:24,000 Is there a downside? 171 00:16:24,000 --> 00:16:26,000 Because there has to be. 172 00:16:26,000 --> 00:16:31,000 When we listen to the level of discourse about this, how can there not be some downside? 173 00:16:31,000 --> 00:16:35,000 I don't think there are any real downsides. 174 00:16:35,000 --> 00:16:41,000 I mean, if you look at the argument, the initial argument was there's going to be this rapid global warming. 175 00:16:41,000 --> 00:16:43,000 It hasn't happened. 176 00:16:43,000 --> 00:16:48,000 So it's very clear that the models have enormously exaggerated the warming potential. 177 00:16:48,000 --> 00:16:50,000 Why has that happened? 178 00:16:50,000 --> 00:16:55,000 What is it about the models that when you simulate, it works and you say, well, there it is? 179 00:16:55,000 --> 00:16:59,000 Well, I mentioned the saturation of CO2. 180 00:16:59,000 --> 00:17:04,000 If you paint the barn red, if you put another coat, it's not any redder than it was before. 181 00:17:04,000 --> 00:17:09,000 And they noticed that early on that CO2 has this problem. 182 00:17:09,000 --> 00:17:13,000 It's disappointing that it doesn't seem to make much difference if you had. 183 00:17:13,000 --> 00:17:21,000 So they invented all sorts of feedback mechanisms that would amplify the effect of additional CO2. 184 00:17:21,000 --> 00:17:26,000 Water vapor, clouds, all sorts of things were supposed to be triggered by the CO2. 185 00:17:26,000 --> 00:17:28,000 They don't seem to be happening. 186 00:17:28,000 --> 00:17:32,000 But water vapor is a dominant greenhouse gas anyways. 187 00:17:32,000 --> 00:17:34,000 Water vapor is the main greenhouse gas. 188 00:17:34,000 --> 00:17:36,000 Water vapor and clouds. 189 00:17:36,000 --> 00:17:38,000 It is the greenhouse gas, isn't it? 190 00:17:38,000 --> 00:17:41,000 70% maybe. 191 00:17:41,000 --> 00:17:46,000 I have talked to somebody else who is a climate scientist and said, no, clouds aren't in the equation. 192 00:17:46,000 --> 00:17:49,000 But how can they not be in the equation? 193 00:17:49,000 --> 00:17:51,000 Well, it depends on the model. 194 00:17:51,000 --> 00:17:58,000 I mean, the most professional modelers, those trying to do the most honest job do try to put in clouds. 195 00:17:58,000 --> 00:18:00,000 But it's very primitive. 196 00:18:00,000 --> 00:18:03,000 It's a rough estimate. 197 00:18:03,000 --> 00:18:04,000 There's nothing. 198 00:18:04,000 --> 00:18:14,000 My own journey with trying to understand climate science started when I watched Al Gore's movie, An Inconvenient Truth. 199 00:18:14,000 --> 00:18:19,000 Mr. Gore says that if you take water vapor out of the equation, and he says it rather casually, 200 00:18:19,000 --> 00:18:23,000 if you take water vapor out of the equation, CO2 makes up 30% of greenhouse gases. 201 00:18:23,000 --> 00:18:26,000 And I went, holy smokes. 202 00:18:26,000 --> 00:18:32,000 So I started to do some investigation and went, okay, well, he's right about that. 203 00:18:32,000 --> 00:18:36,000 But you can't take water vapor out of the equation. 204 00:18:36,000 --> 00:18:45,000 And if you do, are you then not negating the dynamic interaction between CO2, methane, water vapor, 205 00:18:45,000 --> 00:18:51,000 and the other greenhouse gases that are involved? 206 00:18:51,000 --> 00:18:52,000 Yeah. 207 00:18:52,000 --> 00:18:54,000 Of course, you can't take water vapor out. 208 00:18:54,000 --> 00:18:58,000 And you should always be careful to say water vapor and clouds. 209 00:18:58,000 --> 00:19:01,000 Clouds are a big, big deal. 210 00:19:01,000 --> 00:19:02,000 How come? 211 00:19:02,000 --> 00:19:04,000 What makes them a big deal? 212 00:19:04,000 --> 00:19:09,000 Well, if you just go to space and look at the Earth, you don't see the ground over big fractions of the Earth. 213 00:19:09,000 --> 00:19:11,000 All you see is clouds. 214 00:19:11,000 --> 00:19:18,000 But if you take a look at the Earth, that beautiful blue bubble or marble in space in- 215 00:19:18,000 --> 00:19:22,000 It's marble because the white part of the marble is clouds. 216 00:19:22,000 --> 00:19:32,000 But that image that's on Al Gore's book doesn't show so much cloud cover as a result of global warming. 217 00:19:32,000 --> 00:19:34,000 Well, that bothered us. 218 00:19:34,000 --> 00:19:36,000 We airbrushed a lot of the clouds out. 219 00:19:36,000 --> 00:19:40,000 If you look at the original papers, they have many more clouds. 220 00:19:40,000 --> 00:19:43,000 I mean, I could show you if you like. 221 00:19:43,000 --> 00:19:45,000 You say it's been airbrushed out. 222 00:19:45,000 --> 00:19:46,000 Yes. 223 00:19:46,000 --> 00:19:52,000 What about the ice on the caps of the Earth, both the Antarctic and Arctic? 224 00:19:52,000 --> 00:19:55,000 Antarctic ice is probably growing. 225 00:19:55,000 --> 00:19:58,000 It's a big, complicated continent. 226 00:19:58,000 --> 00:20:01,000 The West Antarctic, maybe there's a little decrease. 227 00:20:01,000 --> 00:20:03,000 But over most of Antarctica, it's increasing. 228 00:20:03,000 --> 00:20:07,000 Sea ice is increasing in rounds in Antarctica. 229 00:20:07,000 --> 00:20:11,000 That's not supposed to happen according to the model, but it is happening. 230 00:20:11,000 --> 00:20:13,000 And what's happening in the Arctic? 231 00:20:13,000 --> 00:20:16,000 Well, there's a good website. 232 00:20:16,000 --> 00:20:20,000 I think it's called Cryosphere or something at the University of Illinois. 233 00:20:20,000 --> 00:20:22,000 And if you Google on it, you'll find it. 234 00:20:22,000 --> 00:20:23,000 Cryosphere. 235 00:20:23,000 --> 00:20:24,000 Cryosphere. 236 00:20:24,000 --> 00:20:28,000 And they're pretty honest, I think. 237 00:20:28,000 --> 00:20:32,000 So you can look at the ice this year, last year. 238 00:20:32,000 --> 00:20:34,000 It fluctuates up and down. 239 00:20:34,000 --> 00:20:38,000 There's a lot of ice now because we're just coming out of the Arctic winter. 240 00:20:38,000 --> 00:20:40,000 And a particularly cold one, too. 241 00:20:40,000 --> 00:20:42,000 Yes, yes, yes. 242 00:20:42,000 --> 00:20:46,000 But the other thing to remember about the Antarctic, it's all water. 243 00:20:46,000 --> 00:20:48,000 It's completely different from the South Pole. 244 00:20:48,000 --> 00:20:56,000 You've got this Arctic ocean up there, which lets heat come in by warm water from the Atlantic in particular. 245 00:20:56,000 --> 00:21:01,000 And so much of what's happening in the Arctic is really determined by ocean currents, 246 00:21:01,000 --> 00:21:04,000 not by the air temperature or things like that. 247 00:21:04,000 --> 00:21:08,000 So over the course of the Earth's history, 248 00:21:08,000 --> 00:21:15,000 ocean cycles and flow have played a significant role in temperature. 249 00:21:15,000 --> 00:21:17,000 It still do. 250 00:21:17,000 --> 00:21:18,000 Yeah. 251 00:21:18,000 --> 00:21:27,000 So here's one of the things that I hear when people try to explain the pause in increasing temperatures. 252 00:21:27,000 --> 00:21:33,000 Ah, well, it's because the Earth's oceans are absorbing that extra heat. 253 00:21:33,000 --> 00:21:39,000 And of course, it is now circulating through the flow of the oceans. 254 00:21:39,000 --> 00:21:45,000 And this is why we're seeing melt not only in the Arctic, but in particular in Greenland. 255 00:21:45,000 --> 00:21:50,000 And yet, I read a report just last week released by NASA that said, 256 00:21:50,000 --> 00:21:56,000 nope, the deep ocean temperatures haven't changed at all. 257 00:21:56,000 --> 00:22:03,000 It's hard for the deep ocean temperature to change much because heat has to be convected down there. 258 00:22:03,000 --> 00:22:07,000 It won't conduct much too slow. 259 00:22:07,000 --> 00:22:17,000 So the only way to change the deep ocean is from water that is sinking up Greenland or off the South Pole. 260 00:22:17,000 --> 00:22:23,000 And those are very slow measured currents that slowly, slowly move. 261 00:22:23,000 --> 00:22:28,000 And so it's extremely difficult to heat all of the ocean. 262 00:22:28,000 --> 00:22:34,000 It's quite easy to heat the first few inches or first few meters down to the thermocline. 263 00:22:34,000 --> 00:22:37,000 But it's much harder to get below that. 264 00:22:37,000 --> 00:22:44,000 So that has to be done by currents, which the other answer you should give when people say that is, 265 00:22:44,000 --> 00:22:50,000 well, if that's the case, why is it all these 70 models or whatever it is, 266 00:22:50,000 --> 00:22:53,000 expensive computer models didn't predict that. 267 00:22:53,000 --> 00:22:57,000 They all promised they would predict what would happen to the temperature. 268 00:22:57,000 --> 00:22:59,000 None of them got it right. 269 00:22:59,000 --> 00:23:05,000 Not only did they not get it right, they got it wrong by a huge amount, factors three, four. 270 00:23:05,000 --> 00:23:10,000 Do you have any sense of why that, how they could be so many models, could be so far off? 271 00:23:10,000 --> 00:23:12,000 Yes, I mean it was group think. 272 00:23:12,000 --> 00:23:16,000 The models never looked at the world. 273 00:23:16,000 --> 00:23:21,000 They were all different models and so they used to say, look how good we are. 274 00:23:21,000 --> 00:23:23,000 We're all getting the same answer. It must be right. 275 00:23:23,000 --> 00:23:25,000 You know, we're agreeing with each other. 276 00:23:25,000 --> 00:23:28,000 But then if you look at the models, they've all got different parameters. 277 00:23:28,000 --> 00:23:30,000 They've all been coded in different ways. 278 00:23:30,000 --> 00:23:33,000 And the reason they're giving the same answers, they look at each other and say, 279 00:23:33,000 --> 00:23:35,000 oh, I'll adjust this parameter in this one. 280 00:23:35,000 --> 00:23:37,000 And now it gives the same answer. 281 00:23:37,000 --> 00:23:45,000 So as we look to the future, are you hopeful that the world is going to continue to be a safe place? 282 00:23:45,000 --> 00:23:50,000 That we will do the things that are necessary to protect this precious planet. 283 00:23:50,000 --> 00:24:03,000 But that climate is not going to be the overwhelming catastrophic event that some people proclaim that it might be. 284 00:24:03,000 --> 00:24:06,000 Yeah, I don't think there's anything to worry about from more CO2. 285 00:24:06,000 --> 00:24:10,000 I'll say it again that I think more CO2 will be good for the world. 286 00:24:10,000 --> 00:24:15,000 But our great, great children will look back and say, thank God we've got all this CO2. 287 00:24:15,000 --> 00:24:18,000 You know, what four-sided people our ancestors were. 288 00:24:18,000 --> 00:24:26,000 I think it is true that you can mess up the world very easily. 289 00:24:26,000 --> 00:24:30,000 You know, the American rivers used to be a disgrace. 290 00:24:30,000 --> 00:24:35,000 When I first went to New York City, Hudson River was an open sewer. 291 00:24:35,000 --> 00:24:40,000 It's clean now, there's salmon running up the river, a shad every spring. 292 00:24:40,000 --> 00:24:46,000 So that's the type of environmentalism that works and is good for us. 293 00:24:46,000 --> 00:24:51,000 And that's what we ought to be working on, cleaning up real things that make a difference. 294 00:24:51,000 --> 00:24:54,000 Well, thank you very much for your time. I really appreciate this. Thank you. 295 00:24:54,000 --> 00:25:06,000 It was a pleasure. 32412

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