0:00:00.952,0:00:02.714 I'm a meteorologist by degree, 0:00:02.738,0:00:05.881 I have a bachelors,[br]masters and PhD in physical meteorology, 0:00:05.905,0:00:08.041 so I'm a meteorologist, card carrying. 0:00:08.444,0:00:13.143 And so with that comes[br]four questions, always. 0:00:13.167,0:00:15.723 This is one prediction[br]I will always get right. 0:00:15.747,0:00:17.603 (Laughter) 0:00:17.627,0:00:19.675 And those questions are, 0:00:19.699,0:00:22.099 "Marshall, what channel are you on?" 0:00:24.048,0:00:27.541 "Doctor Shepherd, what's the weather[br]going to be tomorrow?" 0:00:27.937,0:00:29.524 And oh, I love this one: 0:00:29.548,0:00:32.993 "My daughter is getting married[br]next September, it's an outdoor wedding. 0:00:33.017,0:00:34.227 Is it going to rain?" 0:00:34.251,0:00:35.633 (Laughter) 0:00:35.657,0:00:38.545 Not kidding, I get those[br]and I don't know the answer to that, 0:00:38.569,0:00:40.169 the science isn't there. 0:00:41.185,0:00:44.088 But the one I get a lot these days is, 0:00:44.112,0:00:48.964 "Doctor Shepherd, do you believe[br]in climate change?" 0:00:49.331,0:00:52.037 "Do you believe in global warming?" 0:00:52.807,0:00:56.506 Now, I have to gather myself[br]every time I get that question. 0:00:56.530,0:00:58.212 Because it's an ill-posed question, 0:00:58.236,0:01:00.236 science isn't a belief system. 0:01:00.911,0:01:04.177 My son, he's 10,[br]he believes in the tooth fairy. 0:01:04.998,0:01:08.387 And he needs to get over that,[br]because I'm losing dollars fast. 0:01:08.411,0:01:10.728 (Laughter) 0:01:10.752,0:01:12.577 But he believes in the tooth fairy. 0:01:12.601,0:01:14.572 But consider this. 0:01:15.361,0:01:17.909 Bank of America building,[br]there in Atlanta. 0:01:17.933,0:01:20.488 You never hear anyone say, 0:01:20.512,0:01:23.091 "Do you believe, if you go[br]to the top of that building 0:01:23.115,0:01:25.369 and throw a ball off, it's going to fall?" 0:01:25.807,0:01:29.141 You never hear that,[br]because gravity is a thing. 0:01:30.427,0:01:32.712 So why don't we hear the question, 0:01:32.736,0:01:34.541 "Do you believe in gravity?" 0:01:34.565,0:01:36.423 But of course we hear the question, 0:01:36.447,0:01:38.780 "Do you believe in global warming?" 0:01:40.161,0:01:42.573 Well, consider these facts. 0:01:43.799,0:01:46.895 The American Association[br]for the Advancement of Science, AAAS, 0:01:46.919,0:01:49.768 one of the leading[br]organizations in science, 0:01:49.792,0:01:53.712 queried scientists and the public[br]on different science topics. 0:01:53.736,0:01:54.935 Here are some of them: 0:01:54.959,0:01:58.886 genetically modified food,[br]animal research, human evolution. 0:01:59.709,0:02:02.209 And look at what the scientists[br]say about those, 0:02:02.233,0:02:04.947 the people that actually[br]study those topics, in red, 0:02:04.971,0:02:07.598 versus the gray, what the public thinks. 0:02:07.622,0:02:09.208 How did we get there? 0:02:09.982,0:02:11.474 How did we get there? 0:02:12.743,0:02:16.644 That scientists and public[br]are so far apart on these science issues. 0:02:17.260,0:02:19.656 Well, I'll come a little bit[br]closer to home for me, 0:02:19.680,0:02:20.830 climate change. 0:02:21.339,0:02:24.231 Eighty-seven percent of scientists 0:02:24.255,0:02:28.463 believe that humans are contributing[br]to climate change. 0:02:29.450,0:02:31.717 But only 50 percent of the public? 0:02:33.323,0:02:34.704 How did we get there? 0:02:34.728,0:02:36.031 So it begs the question, 0:02:36.055,0:02:40.792 what shapes perceptions about science? 0:02:42.655,0:02:44.045 It's an interesting question, 0:02:44.069,0:02:46.647 and one that I've been[br]thinking about quite a bit. 0:02:48.434,0:02:53.100 I think that one thing that shapes[br]perceptions in the public about science 0:02:53.124,0:02:55.314 is belief systems and biases. 0:02:56.339,0:02:57.775 Belief systems and biases. 0:02:57.799,0:02:59.399 Go with me for a moment. 0:03:00.005,0:03:02.458 Because I want to talk about[br]three elements of that: 0:03:02.482,0:03:06.155 confirmation bias, Dunning-Kruger effect 0:03:06.179,0:03:08.044 and cognitive dissonance. 0:03:08.068,0:03:12.091 Now, these sound like big, fancy,[br]academic terms, and they are. 0:03:12.585,0:03:16.212 But when I describe them,[br]you're going to be like, "Oh! 0:03:16.236,0:03:19.969 I recognize that, I even know[br]somebody that does that." 0:03:21.355,0:03:22.934 Confirmation bias. 0:03:24.260,0:03:28.732 Finding evidence that supports[br]what we already believe. 0:03:28.756,0:03:31.680 Now, we're probably all[br]a little bit guilty of that at times. 0:03:33.427,0:03:34.966 Take a look at this. 0:03:34.990,0:03:36.307 I'm on Twitter. 0:03:36.331,0:03:38.735 And often when it snows, 0:03:38.759,0:03:40.648 I'll get this tweet back to me. 0:03:40.672,0:03:43.148 (Laughter) 0:03:43.172,0:03:46.901 "Hey, Doctor Shepherd, I have 20 inches[br]of Global Warming in my yard, 0:03:46.925,0:03:49.909 what are you guys[br]talking about climate change?" 0:03:49.933,0:03:51.671 I get that tweet a lot, actually. 0:03:52.909,0:03:55.846 It's a cute tweet,[br]it makes me chuckle as well. 0:03:55.870,0:03:59.815 But it's oh, so fundamentally[br]scientifically flawed. 0:04:00.292,0:04:01.850 Because it illustrates 0:04:01.874,0:04:03.895 that the person tweeting[br]doesn't understand 0:04:03.919,0:04:06.021 the difference between[br]weather and climate. 0:04:07.466,0:04:11.014 I often say, weather is your mood 0:04:11.038,0:04:13.497 and climate is your personality. 0:04:14.981,0:04:16.132 Think about that. 0:04:16.156,0:04:18.600 Weather is your mood,[br]climate is your personality. 0:04:18.624,0:04:22.609 Your mood today doesn't necessarily[br]tell me anything about your personality. 0:04:22.633,0:04:25.403 Nor does a cold day tell me anything[br]about climate change, 0:04:25.427,0:04:27.427 or a hot day, for that matter. 0:04:29.974,0:04:31.124 Dunning-Kruger. 0:04:31.616,0:04:34.671 Two scholars from Cornell[br]came up with the Dunning-Kruger effect. 0:04:34.695,0:04:37.037 If you go look up[br]the peer review paper for this, 0:04:37.061,0:04:39.569 you will see all kinds[br]of fancy terminology: 0:04:39.593,0:04:43.236 it's an illusory superiority complex,[br]thinking we know things. 0:04:43.260,0:04:46.077 In other words, people think[br]they know more than they do. 0:04:47.553,0:04:50.486 Or they underestimate[br]what they don't know. 0:04:50.847,0:04:53.314 And then there's cognitive dissonance. 0:04:54.831,0:04:57.164 Cognitive dissonance is interesting. 0:04:57.538,0:05:00.188 We just recently had Groundhog Day, right? 0:05:01.132,0:05:03.853 Now, there's no better definition[br]of cognitive dissonance 0:05:03.877,0:05:07.395 than intelligent people asking me[br]if a rodent's forecast is accurate. 0:05:07.419,0:05:10.150 (Laughter) 0:05:10.174,0:05:12.721 But I get that, all of the time. 0:05:12.745,0:05:13.999 (Laughter) 0:05:14.023,0:05:17.626 But I also hear[br]about the Farmer's Almanac. 0:05:17.650,0:05:20.846 We grew up on the Farmer's Almanac,[br]people are familiar with it. 0:05:22.259,0:05:25.671 The problem is, it's only[br]about 37 percent accurate, 0:05:25.695,0:05:28.829 according to studies[br]at Penn State University. 0:05:31.458,0:05:35.029 But we're in an era of science 0:05:35.053,0:05:37.117 where we actually[br]can forecast the weather. 0:05:37.141,0:05:40.562 And believe it or not, and I know[br]some of you are like, "Yeah, right," 0:05:40.586,0:05:43.609 we're about 90 percent accurate, or more,[br]with weather forecast. 0:05:43.633,0:05:46.363 You just tend to remember[br]the occasional miss, you do. 0:05:50.263,0:05:53.668 So confirmation bias,[br]Dunning-Kruger and cognitive dissonance. 0:05:53.692,0:05:59.104 I think those shape biases and perceptions[br]that people have about science. 0:05:59.625,0:06:01.774 But then, there's literacy[br]and misinformation 0:06:01.798,0:06:03.865 that keep us boxed in, as well. 0:06:05.911,0:06:08.395 During the hurricane season of 2017 0:06:08.419,0:06:12.632 media outlets had to[br]actually assign reporters 0:06:12.656,0:06:16.813 to dismiss fake information[br]about the weather forecast. 0:06:18.204,0:06:20.138 That's the era that we're in. 0:06:20.644,0:06:23.081 I deal with this all the time[br]in social media. 0:06:23.105,0:06:24.692 Someone will tweet a forecast -- 0:06:24.716,0:06:27.652 that's a forecast for hurricane Irma,[br]but here's the problem: 0:06:27.676,0:06:29.676 it didn't come from the Hurricane Center. 0:06:30.608,0:06:33.395 But people were tweeting[br]and sharing this, it went viral. 0:06:33.419,0:06:36.284 It didn't come from the National[br]Hurricane Center at all. 0:06:38.363,0:06:40.847 So I spent 12 years of my career at NASA 0:06:40.871,0:06:42.903 before coming to[br]the University of Georgia, 0:06:42.927,0:06:45.442 and I chair their Earth Science[br]Advisory Committee, 0:06:45.466,0:06:47.283 I was just up there last week in DC. 0:06:47.307,0:06:49.294 And I saw some really interesting things. 0:06:49.318,0:06:52.556 Here's a NASA model[br]and science data from satellite 0:06:52.580,0:06:54.863 showing the 2017 hurricane season. 0:06:54.887,0:06:56.953 You see hurricane Harvey there? 0:06:57.649,0:07:00.158 Look at all the dust coming off of Africa. 0:07:00.617,0:07:05.604 Look at the wildfires up in northwest US[br]and in western Canada. 0:07:05.628,0:07:07.428 There comes hurricane Irma. 0:07:08.923,0:07:11.066 This is fascinating to me. 0:07:11.688,0:07:13.783 But admittedly, I'm a weather geek. 0:07:14.982,0:07:18.458 But more importantly, it illustrates[br]that we have the technology 0:07:18.482,0:07:21.061 to not only observe the weather[br]and climate system, 0:07:21.085,0:07:22.235 but predict it. 0:07:22.625,0:07:24.387 There's scientific understanding, 0:07:24.411,0:07:27.498 so there's no need for some[br]of those perceptions and biases 0:07:27.522,0:07:29.092 that we've been talking about. 0:07:29.116,0:07:30.315 We have knowledge. 0:07:30.339,0:07:31.577 But think about this... 0:07:31.601,0:07:34.783 This is Houston, Texas,[br]after hurricane Harvey. 0:07:35.736,0:07:38.669 Now, I write a contribution[br]for "Forbes" magazine periodically 0:07:38.693,0:07:43.264 and I wrote an article a week before[br]hurricane Harvey made landfall, saying, 0:07:43.288,0:07:46.130 "There's probably going to be[br]40 to 50 inches of rainfall." 0:07:46.776,0:07:49.260 I wrote that a week before it happened. 0:07:49.284,0:07:51.410 But yet, when you talk[br]to people in Houston, 0:07:51.434,0:07:54.507 people are saying, "We had no idea[br]it was going to be this bad." 0:07:55.093,0:07:56.268 I'm just... 0:07:56.292,0:07:57.442 (Sigh) 0:07:58.657,0:07:59.831 A week before. 0:07:59.855,0:08:01.045 But -- 0:08:01.069,0:08:03.567 I know, it's amusing, but the reality is, 0:08:03.591,0:08:09.735 we all struggle with perceiving something[br]outside of our experience level. 0:08:09.759,0:08:12.029 People in Houston[br]get rain all of the time, 0:08:12.053,0:08:13.853 they flood all of the time. 0:08:14.513,0:08:16.847 But they've never experienced that. 0:08:17.561,0:08:21.950 Houston gets about 34 inches of rainfall[br]for the entire year. 0:08:21.974,0:08:24.529 They got 50 inches in three days. 0:08:25.300,0:08:28.391 That's an anomaly event,[br]that's outside of the normal. 0:08:30.188,0:08:33.029 So belief systems and biases,[br]literacy and misinformation. 0:08:33.053,0:08:36.936 How do we step out of the boxes[br]that are cornering our perceptions? 0:08:38.633,0:08:42.366 Well we don't even have to go to Houston,[br]we can come very close to home. 0:08:42.390,0:08:43.571 (Laughter) 0:08:43.595,0:08:45.508 Remember "snowpocalypse?" 0:08:45.532,0:08:47.333 (Laughter) 0:08:47.357,0:08:48.857 "Snowmageddon?" 0:08:48.881,0:08:50.032 Snowzilla? 0:08:50.056,0:08:52.085 Whatever you want to call it? 0:08:52.109,0:08:54.426 All two inches of it. 0:08:54.450,0:08:57.053 (Laughter) 0:08:57.077,0:08:59.942 Two inches of snow[br]shut the city of Atlanta down. 0:08:59.966,0:09:01.537 (Laughter) 0:09:02.982,0:09:07.236 But the reality is,[br]we were in a winter storm watch, 0:09:07.260,0:09:09.895 we went to a winter weather advisory, 0:09:09.919,0:09:12.569 and a lot of people perceived that[br]as being a downgrade, 0:09:12.593,0:09:14.260 "Oh, it's not going to be as bad." 0:09:14.284,0:09:17.514 When in fact, the perception[br]was that it was not going to be as bad, 0:09:17.538,0:09:19.172 but it was actually an upgrade. 0:09:19.196,0:09:21.783 Things were getting worse[br]as the models were coming in. 0:09:21.807,0:09:25.613 So that's an example of how[br]we get boxed in by our perceptions. 0:09:26.165,0:09:28.141 So, the question becomes, 0:09:28.165,0:09:31.656 how do we expand our radius? 0:09:33.823,0:09:35.633 Area of a circle is "pi r squared". 0:09:35.657,0:09:38.000 We increase the radius,[br]we increase the area. 0:09:38.024,0:09:42.005 How do we expand our radius[br]of understanding about science? 0:09:42.593,0:09:43.993 Here are my thoughts. 0:09:44.720,0:09:47.791 You take inventory of your own biases. 0:09:47.815,0:09:49.831 And I'm challenging you all to do that. 0:09:49.855,0:09:52.879 Take an inventory of your own biases. 0:09:52.903,0:09:54.188 Where do they come from? 0:09:54.212,0:09:57.586 Your upbringing, your political[br]perspective, your faith, 0:09:57.610,0:10:00.029 what shapes your own biases? 0:10:01.982,0:10:03.419 Then evaluate your sources -- 0:10:03.443,0:10:05.894 where do you get[br]your information on science? 0:10:06.553,0:10:08.529 What do you read, what do you listen to, 0:10:08.553,0:10:10.553 to consume your information on science? 0:10:11.022,0:10:13.768 And then it's important to speak out. 0:10:13.792,0:10:17.910 Talk about how you evaluated your biases[br]and evaluated your sources. 0:10:17.934,0:10:20.704 I want you to listen to this[br]little 40-second clip 0:10:20.728,0:10:25.506 from one of the top[br]TV meteorologists in the US, Greg Fishel, 0:10:25.530,0:10:27.053 in the Raleigh, Duram area. 0:10:27.077,0:10:28.752 He's revered in that region. 0:10:28.776,0:10:30.181 But he was a climate skeptic. 0:10:30.205,0:10:32.442 Listen to what he says about speaking out. 0:10:32.466,0:10:36.278 (Video) Greg Fishel: Mistake I was making[br]and didn't realize until very recently, 0:10:36.302,0:10:38.704 was that I was only[br]looking for information 0:10:38.728,0:10:41.682 to support what I already thought, 0:10:41.706,0:10:45.813 and was not interested[br]in listening to anything contrary. 0:10:46.559,0:10:48.630 And so I woke up one morning 0:10:48.654,0:10:52.352 and there was this question in my mind, 0:10:52.918,0:10:55.522 "Greg, are you engaging[br]in confirmation bias? 0:10:55.546,0:10:59.287 Are you only looking for information[br]to support what you already think?" 0:11:00.069,0:11:02.337 If I was honest with myself,[br]and I tried to be, 0:11:02.361,0:11:04.647 I admitted that was going on. 0:11:05.269,0:11:07.783 And so the more I talked to scientists, 0:11:07.807,0:11:09.865 and read peer-reviewed literature 0:11:09.889,0:11:14.601 and tried to conduct myself the way[br]I've been taught to conduct myself 0:11:14.625,0:11:16.958 at Penn State when I was a student, 0:11:17.665,0:11:20.357 it became very difficult for me[br]to make the argument 0:11:20.381,0:11:22.441 that we weren't at least[br]having some effect, 0:11:22.465,0:11:24.901 maybe there was still a doubt[br]as to how much, 0:11:24.925,0:11:29.640 but to say "nothing" was not[br]a responsible thing for me to do 0:11:29.664,0:11:31.464 as a scientist or a person. 0:11:33.387,0:11:37.248 Greg Fishel just talked[br]about expanding his radius 0:11:37.272,0:11:38.895 of understanding of science. 0:11:38.919,0:11:40.974 And when we expand our radius, 0:11:40.998,0:11:44.196 it's not about making a better future, 0:11:44.220,0:11:47.287 but it's about preserving[br]life as we know it. 0:11:48.180,0:11:54.268 So as we think about expanding[br]our own radius in understanding science, 0:11:54.292,0:11:57.664 it's critical for Athens, Georgia,[br]for Atlanta, Georgia, 0:11:57.688,0:12:00.546 for the state of Georgia,[br]and for the world. 0:12:00.857,0:12:02.928 So expand your radius. 0:12:02.952,0:12:04.135 Thank you. 0:12:04.159,0:12:08.174 (Applause)