1 00:00:00,952 --> 00:00:02,714 I'm a meteorologist by degree, 2 00:00:02,738 --> 00:00:05,881 I have a bachelor's, master's and PhD in physical meteorology, 3 00:00:05,905 --> 00:00:08,041 so I'm a meteorologist, card carrying. 4 00:00:08,444 --> 00:00:13,143 And so with that comes four questions, always. 5 00:00:13,167 --> 00:00:15,723 This is one prediction I will always get right. 6 00:00:15,747 --> 00:00:17,603 (Laughter) 7 00:00:17,627 --> 00:00:19,675 And those questions are, 8 00:00:19,699 --> 00:00:22,183 "Marshall, what channel are you on?" 9 00:00:22,207 --> 00:00:24,024 (Laughter) 10 00:00:24,048 --> 00:00:26,889 "Dr. Shepherd, what's the weather going to be tomorrow?" 11 00:00:26,913 --> 00:00:27,913 (Laughter) 12 00:00:27,937 --> 00:00:29,524 And oh, I love this one: 13 00:00:29,548 --> 00:00:32,993 "My daughter is getting married next September, it's an outdoor wedding. 14 00:00:33,017 --> 00:00:34,227 Is it going to rain?" 15 00:00:34,251 --> 00:00:35,633 (Laughter) 16 00:00:35,657 --> 00:00:38,562 Not kidding, I get those, and I don't know the answer to that, 17 00:00:38,586 --> 00:00:40,186 the science isn't there. 18 00:00:41,185 --> 00:00:44,088 But the one I get a lot these days is, 19 00:00:44,112 --> 00:00:48,964 "Dr. Shepherd, do you believe in climate change?" 20 00:00:49,331 --> 00:00:52,037 "Do you believe in global warming?" 21 00:00:52,807 --> 00:00:56,506 Now, I have to gather myself every time I get that question. 22 00:00:56,530 --> 00:00:58,292 Because it's an ill-posed question -- 23 00:00:58,316 --> 00:01:00,316 science isn't a belief system. 24 00:01:00,911 --> 00:01:04,177 My son, he's 10 -- he believes in the tooth fairy. 25 00:01:04,998 --> 00:01:08,387 And he needs to get over that, because I'm losing dollars, fast. 26 00:01:08,411 --> 00:01:10,728 (Laughter) 27 00:01:10,752 --> 00:01:12,577 But he believes in the tooth fairy. 28 00:01:12,601 --> 00:01:14,572 But consider this. 29 00:01:15,361 --> 00:01:17,909 Bank of America building, there, in Atlanta. 30 00:01:17,933 --> 00:01:20,488 You never hear anyone say, 31 00:01:20,512 --> 00:01:23,091 "Do you believe, if you go to the top of that building 32 00:01:23,115 --> 00:01:25,369 and throw a ball off, it's going to fall?" 33 00:01:25,807 --> 00:01:29,141 You never hear that, because gravity is a thing. 34 00:01:30,427 --> 00:01:32,712 So why don't we hear the question, 35 00:01:32,736 --> 00:01:34,541 "Do you believe in gravity?" 36 00:01:34,565 --> 00:01:36,423 But of course, we hear the question, 37 00:01:36,447 --> 00:01:38,780 "Do you believe in global warming?" 38 00:01:40,161 --> 00:01:42,573 Well, consider these facts. 39 00:01:43,799 --> 00:01:46,895 The American Association for the Advancement of Science, AAAS, 40 00:01:46,919 --> 00:01:49,768 one of the leading organizations in science, 41 00:01:49,792 --> 00:01:53,712 queried scientists and the public on different science topics. 42 00:01:53,736 --> 00:01:54,935 Here are some of them: 43 00:01:54,959 --> 00:01:58,886 genetically modified food, animal research, human evolution. 44 00:01:59,709 --> 00:02:02,209 And look at what the scientists say about those, 45 00:02:02,233 --> 00:02:04,947 the people that actually study those topics, in red, 46 00:02:04,971 --> 00:02:07,598 versus the gray, what the public thinks. 47 00:02:07,622 --> 00:02:09,208 How did we get there? 48 00:02:09,982 --> 00:02:11,474 How did we get there? 49 00:02:12,743 --> 00:02:16,644 That scientists and the public are so far apart on these science issues. 50 00:02:17,260 --> 00:02:19,656 Well, I'll come a little bit closer to home for me, 51 00:02:19,680 --> 00:02:20,830 climate change. 52 00:02:21,339 --> 00:02:24,231 Eighty-seven percent of scientists 53 00:02:24,255 --> 00:02:28,463 believe that humans are contributing to climate change. 54 00:02:29,450 --> 00:02:31,717 But only 50 percent of the public? 55 00:02:33,323 --> 00:02:34,704 How did we get there? 56 00:02:34,728 --> 00:02:36,031 So it begs the question, 57 00:02:36,055 --> 00:02:40,792 what shapes perceptions about science? 58 00:02:42,655 --> 00:02:44,045 It's an interesting question 59 00:02:44,069 --> 00:02:46,647 and one that I've been thinking about quite a bit. 60 00:02:48,434 --> 00:02:53,100 I think that one thing that shapes perceptions in the public, about science, 61 00:02:53,124 --> 00:02:55,314 is belief systems and biases. 62 00:02:56,339 --> 00:02:57,775 Belief systems and biases. 63 00:02:57,799 --> 00:02:59,399 Go with me for a moment. 64 00:03:00,005 --> 00:03:02,458 Because I want to talk about three elements of that: 65 00:03:02,482 --> 00:03:06,155 confirmation bias, Dunning-Kruger effect 66 00:03:06,179 --> 00:03:08,044 and cognitive dissonance. 67 00:03:08,068 --> 00:03:12,091 Now, these sound like big, fancy, academic terms, and they are. 68 00:03:12,585 --> 00:03:16,212 But when I describe them, you're going to be like, "Oh! 69 00:03:16,236 --> 00:03:19,969 I recognize that; I even know somebody that does that." 70 00:03:21,355 --> 00:03:22,934 Confirmation bias. 71 00:03:24,260 --> 00:03:28,732 Finding evidence that supports what we already believe. 72 00:03:28,756 --> 00:03:31,680 Now, we're probably all a little bit guilty of that at times. 73 00:03:33,427 --> 00:03:34,966 Take a look at this. 74 00:03:34,990 --> 00:03:36,307 I'm on Twitter. 75 00:03:36,331 --> 00:03:38,735 And often, when it snows, 76 00:03:38,759 --> 00:03:40,648 I'll get this tweet back to me. 77 00:03:40,672 --> 00:03:43,148 (Laughter) 78 00:03:43,172 --> 00:03:46,901 "Hey, Dr. Shepherd, I have 20 inches of global warming in my yard, 79 00:03:46,925 --> 00:03:49,909 what are you guys talking about, climate change?" 80 00:03:49,933 --> 00:03:51,671 I get that tweet a lot, actually. 81 00:03:52,909 --> 00:03:55,846 It's a cute tweet, it makes me chuckle as well. 82 00:03:55,870 --> 00:03:59,815 But it's oh, so fundamentally scientifically flawed. 83 00:04:00,292 --> 00:04:01,850 Because it illustrates 84 00:04:01,874 --> 00:04:03,895 that the person tweeting doesn't understand 85 00:04:03,919 --> 00:04:06,021 the difference between weather and climate. 86 00:04:07,466 --> 00:04:11,014 I often say, weather is your mood 87 00:04:11,038 --> 00:04:13,497 and climate is your personality. 88 00:04:14,981 --> 00:04:16,132 Think about that. 89 00:04:16,156 --> 00:04:18,600 Weather is your mood, climate is your personality. 90 00:04:18,624 --> 00:04:22,609 Your mood today doesn't necessarily tell me anything about your personality, 91 00:04:22,633 --> 00:04:25,403 nor does a cold day tell me anything about climate change, 92 00:04:25,427 --> 00:04:27,427 or a hot day, for that matter. 93 00:04:29,974 --> 00:04:31,124 Dunning-Kruger. 94 00:04:31,616 --> 00:04:34,671 Two scholars from Cornell came up with the Dunning-Kruger effect. 95 00:04:34,695 --> 00:04:37,076 If you go look up the peer-reviewed paper for this, 96 00:04:37,100 --> 00:04:39,569 you will see all kinds of fancy terminology: 97 00:04:39,593 --> 00:04:43,236 it's an illusory superiority complex, thinking we know things. 98 00:04:43,260 --> 00:04:46,077 In other words, people think they know more than they do. 99 00:04:47,553 --> 00:04:50,486 Or they underestimate what they don't know. 100 00:04:50,847 --> 00:04:53,314 And then, there's cognitive dissonance. 101 00:04:54,831 --> 00:04:57,164 Cognitive dissonance is interesting. 102 00:04:57,538 --> 00:05:00,188 We just recently had Groundhog Day, right? 103 00:05:01,132 --> 00:05:03,853 Now, there's no better definition of cognitive dissonance 104 00:05:03,877 --> 00:05:07,395 than intelligent people asking me if a rodent's forecast is accurate. 105 00:05:07,419 --> 00:05:10,150 (Laughter) 106 00:05:10,174 --> 00:05:12,721 But I get that, all of the time. 107 00:05:12,745 --> 00:05:13,999 (Laughter) 108 00:05:14,023 --> 00:05:17,626 But I also hear about the Farmer's Almanac. 109 00:05:17,650 --> 00:05:20,846 We grew up on the Farmer's Almanac, people are familiar with it. 110 00:05:22,259 --> 00:05:25,671 The problem is, it's only about 37 percent accurate, 111 00:05:25,695 --> 00:05:28,829 according to studies at Penn State University. 112 00:05:31,458 --> 00:05:35,029 But we're in an era of science 113 00:05:35,053 --> 00:05:37,117 where we actually can forecast the weather. 114 00:05:37,141 --> 00:05:40,562 And believe it or not, and I know some of you are like, "Yeah, right," 115 00:05:40,586 --> 00:05:43,609 we're about 90 percent accurate, or more, with weather forecast. 116 00:05:43,633 --> 00:05:46,257 You just tend to remember the occasional miss, you do. 117 00:05:46,281 --> 00:05:47,431 (Laughter) 118 00:05:50,263 --> 00:05:53,668 So confirmation bias, Dunning-Kruger and cognitive dissonance. 119 00:05:53,692 --> 00:05:59,104 I think those shape biases and perceptions that people have about science. 120 00:05:59,625 --> 00:06:01,774 But then, there's literacy and misinformation 121 00:06:01,798 --> 00:06:03,865 that keep us boxed in, as well. 122 00:06:05,911 --> 00:06:08,395 During the hurricane season of 2017, 123 00:06:08,419 --> 00:06:12,632 media outlets had to actually assign reporters 124 00:06:12,656 --> 00:06:16,813 to dismiss fake information about the weather forecast. 125 00:06:18,204 --> 00:06:20,138 That's the era that we're in. 126 00:06:20,644 --> 00:06:23,081 I deal with this all the time in social media. 127 00:06:23,105 --> 00:06:24,692 Someone will tweet a forecast -- 128 00:06:24,716 --> 00:06:27,652 that's a forecast for Hurricane Irma, but here's the problem: 129 00:06:27,676 --> 00:06:29,676 it didn't come from the Hurricane Center. 130 00:06:30,608 --> 00:06:33,395 But people were tweeting and sharing this; it went viral. 131 00:06:33,419 --> 00:06:36,284 It didn't come from the National Hurricane Center at all. 132 00:06:38,363 --> 00:06:40,847 So I spent 12 years of my career at NASA 133 00:06:40,871 --> 00:06:42,903 before coming to the University of Georgia, 134 00:06:42,927 --> 00:06:45,442 and I chair their Earth Science Advisory Committee, 135 00:06:45,466 --> 00:06:47,283 I was just up there last week in DC. 136 00:06:47,307 --> 00:06:49,294 And I saw some really interesting things. 137 00:06:49,318 --> 00:06:52,556 Here's a NASA model and science data from satellite 138 00:06:52,580 --> 00:06:54,863 showing the 2017 hurricane season. 139 00:06:54,887 --> 00:06:56,953 You see Hurricane Harvey there? 140 00:06:57,649 --> 00:07:00,158 Look at all the dust coming off of Africa. 141 00:07:00,617 --> 00:07:05,604 Look at the wildfires up in northwest US and in western Canada. 142 00:07:05,628 --> 00:07:07,428 There comes Hurricane Irma. 143 00:07:08,923 --> 00:07:11,066 This is fascinating to me. 144 00:07:11,688 --> 00:07:13,783 But admittedly, I'm a weather geek. 145 00:07:14,982 --> 00:07:18,458 But more importantly, it illustrates that we have the technology 146 00:07:18,482 --> 00:07:21,061 to not only observe the weather and climate system, 147 00:07:21,085 --> 00:07:22,235 but predict it. 148 00:07:22,625 --> 00:07:24,387 There's scientific understanding, 149 00:07:24,411 --> 00:07:27,498 so there's no need for some of those perceptions and biases 150 00:07:27,522 --> 00:07:29,092 that we've been talking about. 151 00:07:29,116 --> 00:07:30,315 We have knowledge. 152 00:07:30,339 --> 00:07:31,577 But think about this ... 153 00:07:31,601 --> 00:07:34,783 This is Houston, Texas, after Hurricane Harvey. 154 00:07:35,736 --> 00:07:38,699 Now, I write a contribution for "Forbes" magazine periodically, 155 00:07:38,733 --> 00:07:43,264 and I wrote an article a week before Hurricane Harvey made landfall, saying, 156 00:07:43,288 --> 00:07:46,130 "There's probably going to be 40 to 50 inches of rainfall." 157 00:07:46,776 --> 00:07:49,260 I wrote that a week before it happened. 158 00:07:49,284 --> 00:07:51,410 But yet, when you talk to people in Houston, 159 00:07:51,434 --> 00:07:54,507 people are saying, "We had no idea it was going to be this bad." 160 00:07:55,093 --> 00:07:56,268 I'm just... 161 00:07:56,292 --> 00:07:57,473 (Sigh) 162 00:07:57,497 --> 00:07:58,633 (Laughter) 163 00:07:58,657 --> 00:07:59,831 A week before. 164 00:07:59,855 --> 00:08:01,045 But -- 165 00:08:01,069 --> 00:08:03,567 I know, it's amusing, but the reality is, 166 00:08:03,591 --> 00:08:09,735 we all struggle with perceiving something outside of our experience level. 167 00:08:09,759 --> 00:08:12,029 People in Houston get rain all of the time, 168 00:08:12,053 --> 00:08:13,853 they flood all of the time. 169 00:08:14,513 --> 00:08:16,847 But they've never experienced that. 170 00:08:17,561 --> 00:08:21,950 Houston gets about 34 inches of rainfall for the entire year. 171 00:08:21,974 --> 00:08:24,529 They got 50 inches in three days. 172 00:08:25,300 --> 00:08:28,391 That's an anomaly event, that's outside of the normal. 173 00:08:30,188 --> 00:08:33,029 So belief systems and biases, literacy and misinformation. 174 00:08:33,053 --> 00:08:36,936 How do we step out of the boxes that are cornering our perceptions? 175 00:08:38,633 --> 00:08:42,366 Well we don't even have to go to Houston, we can come very close to home. 176 00:08:42,390 --> 00:08:43,571 (Laughter) 177 00:08:43,595 --> 00:08:45,508 Remember "Snowpocalypse?" 178 00:08:45,532 --> 00:08:47,333 (Laughter) 179 00:08:47,357 --> 00:08:48,857 Snowmageddon? 180 00:08:48,881 --> 00:08:50,032 Snowzilla? 181 00:08:50,056 --> 00:08:52,085 Whatever you want to call it. 182 00:08:52,109 --> 00:08:54,426 All two inches of it. 183 00:08:54,450 --> 00:08:57,053 (Laughter) 184 00:08:57,077 --> 00:08:59,942 Two inches of snow shut the city of Atlanta down. 185 00:08:59,966 --> 00:09:01,537 (Laughter) 186 00:09:02,982 --> 00:09:07,236 But the reality is, we were in a winter storm watch, 187 00:09:07,260 --> 00:09:09,895 we went to a winter weather advisory, 188 00:09:09,919 --> 00:09:12,569 and a lot of people perceived that as being a downgrade, 189 00:09:12,593 --> 00:09:14,260 "Oh, it's not going to be as bad." 190 00:09:14,284 --> 00:09:17,514 When in fact, the perception was that it was not going to be as bad, 191 00:09:17,538 --> 00:09:19,172 but it was actually an upgrade. 192 00:09:19,196 --> 00:09:21,783 Things were getting worse as the models were coming in. 193 00:09:21,807 --> 00:09:25,613 So that's an example of how we get boxed in by our perceptions. 194 00:09:26,165 --> 00:09:28,141 So, the question becomes, 195 00:09:28,165 --> 00:09:31,656 how do we expand our radius? 196 00:09:33,823 --> 00:09:35,733 The area of a circle is "pi r squared". 197 00:09:35,757 --> 00:09:38,000 We increase the radius, we increase the area. 198 00:09:38,024 --> 00:09:42,005 How do we expand our radius of understanding about science? 199 00:09:42,593 --> 00:09:43,993 Here are my thoughts. 200 00:09:44,720 --> 00:09:47,791 You take inventory of your own biases. 201 00:09:47,815 --> 00:09:49,831 And I'm challenging you all to do that. 202 00:09:49,855 --> 00:09:52,879 Take an inventory of your own biases. 203 00:09:52,903 --> 00:09:54,188 Where do they come from? 204 00:09:54,212 --> 00:09:57,586 Your upbringing, your political perspective, your faith -- 205 00:09:57,610 --> 00:10:00,029 what shapes your own biases? 206 00:10:01,982 --> 00:10:03,419 Then, evaluate your sources -- 207 00:10:03,443 --> 00:10:05,894 where do you get your information on science? 208 00:10:06,553 --> 00:10:08,529 What do you read, what do you listen to, 209 00:10:08,553 --> 00:10:10,553 to consume your information on science? 210 00:10:11,022 --> 00:10:13,768 And then, it's important to speak out. 211 00:10:13,792 --> 00:10:17,910 Talk about how you evaluated your biases and evaluated your sources. 212 00:10:17,934 --> 00:10:20,704 I want you to listen to this little 40-second clip 213 00:10:20,728 --> 00:10:25,506 from one of the top TV meteorologists in the US, Greg Fishel, 214 00:10:25,530 --> 00:10:27,053 in the Raleigh, Durham area. 215 00:10:27,077 --> 00:10:28,752 He's revered in that region. 216 00:10:28,776 --> 00:10:30,181 But he was a climate skeptic. 217 00:10:30,205 --> 00:10:32,442 But listen to what he says about speaking out. 218 00:10:32,466 --> 00:10:34,202 Greg Fishel: The mistake I was making 219 00:10:34,226 --> 00:10:36,180 and didn't realize until very recently, 220 00:10:36,204 --> 00:10:38,797 was that I was only looking for information 221 00:10:38,821 --> 00:10:41,682 to support what I already thought, 222 00:10:41,706 --> 00:10:45,813 and was not interested in listening to anything contrary. 223 00:10:46,559 --> 00:10:48,630 And so I woke up one morning, 224 00:10:48,654 --> 00:10:52,352 and there was this question in my mind, 225 00:10:52,918 --> 00:10:55,522 "Greg, are you engaging in confirmation bias? 226 00:10:55,546 --> 00:10:59,471 Are you only looking for information to support what you already think?" 227 00:11:00,069 --> 00:11:02,508 And if I was honest with myself, and I tried to be, 228 00:11:02,522 --> 00:11:04,850 I admitted that was going on. 229 00:11:05,269 --> 00:11:07,783 And so the more I talked to scientists 230 00:11:07,807 --> 00:11:09,865 and read peer-reviewed literature 231 00:11:09,889 --> 00:11:14,601 and tried to conduct myself the way I'd been taught to conduct myself 232 00:11:14,625 --> 00:11:16,958 at Penn State when I was a student, 233 00:11:17,665 --> 00:11:20,357 it became very difficult for me to make the argument 234 00:11:20,381 --> 00:11:22,441 that we weren't at least having some effect. 235 00:11:22,465 --> 00:11:24,901 Maybe there was still a doubt as to how much, 236 00:11:24,925 --> 00:11:29,640 but to say "nothing" was not a responsible thing for me to do 237 00:11:29,664 --> 00:11:31,464 as a scientist or a person. 238 00:11:33,387 --> 00:11:37,248 JMS: Greg Fishel just talked about expanding his radius 239 00:11:37,272 --> 00:11:38,895 of understanding of science. 240 00:11:38,919 --> 00:11:40,974 And when we expand our radius, 241 00:11:40,998 --> 00:11:44,196 it's not about making a better future, 242 00:11:44,220 --> 00:11:47,287 but it's about preserving life as we know it. 243 00:11:48,180 --> 00:11:53,134 So as we think about expanding our own radius in understanding science, 244 00:11:54,292 --> 00:11:57,664 it's critical for Athens, Georgia, for Atlanta, Georgia, 245 00:11:57,688 --> 00:12:00,546 for the state of Georgia, and for the world. 246 00:12:00,857 --> 00:12:02,928 So expand your radius. 247 00:12:02,952 --> 00:12:04,135 Thank you. 248 00:12:04,159 --> 00:12:08,174 (Applause)