1 00:00:00,000 --> 00:00:05,000 Once upon a time, there was a dread disease that afflicted children. 2 00:00:05,000 --> 00:00:09,000 And in fact, among all the diseases that existed in this land, 3 00:00:09,000 --> 00:00:12,000 it was the worst. It killed the most children. 4 00:00:12,000 --> 00:00:15,000 And along came a brilliant inventor, a scientist, 5 00:00:15,000 --> 00:00:18,000 who came up with a partial cure for that disease. 6 00:00:18,000 --> 00:00:22,000 And it wasn't perfect. Many children still died, 7 00:00:22,000 --> 00:00:25,000 but it was certainly better than what they had before. 8 00:00:25,000 --> 00:00:31,000 And one of the good things about this cure was that it was free, 9 00:00:31,000 --> 00:00:33,000 virtually free, and was very easy to use. 10 00:00:33,000 --> 00:00:36,000 But the worst thing about it was that you couldn't use it 11 00:00:36,000 --> 00:00:40,000 on the youngest children, on infants, and on one-year-olds. 12 00:00:40,000 --> 00:00:42,000 And so, as a consequence, a few years later, 13 00:00:42,000 --> 00:00:44,000 another scientist -- perhaps maybe this scientist 14 00:00:44,000 --> 00:00:48,000 not quite as brilliant as the one who had preceded him, 15 00:00:48,000 --> 00:00:50,000 but building on the invention of the first one -- 16 00:00:50,000 --> 00:00:53,000 came up with a second cure. 17 00:00:53,000 --> 00:00:56,000 And the beauty of the second cure for this disease 18 00:00:56,000 --> 00:01:00,000 was that it could be used on infants and one-year-olds. 19 00:01:00,000 --> 00:01:05,000 And the problem with this cure was it was very expensive, 20 00:01:05,000 --> 00:01:06,000 and it was very complicated to use. 21 00:01:06,000 --> 00:01:10,000 And although parents tried as hard as they could to use it properly, 22 00:01:10,000 --> 00:01:14,000 almost all of them ended up using it wrong in the end. 23 00:01:14,000 --> 00:01:17,000 But what they did, of course, since it was so complicated and expensive, 24 00:01:17,000 --> 00:01:20,000 they only used it on the zero-year-olds and the one-year-olds. 25 00:01:20,000 --> 00:01:23,000 And they kept on using the existing cure that they had 26 00:01:23,000 --> 00:01:24,000 on the two-year-olds and up. 27 00:01:24,000 --> 00:01:26,000 And this went on for quite some time. People were happy. 28 00:01:26,000 --> 00:01:29,000 They had their two cures. Until a particular mother, 29 00:01:29,000 --> 00:01:34,000 whose child had just turned two, died of this disease. 30 00:01:34,000 --> 00:01:38,000 And she thought to herself, "My child just turned two, 31 00:01:38,000 --> 00:01:42,000 and until the child turned two, I had always used 32 00:01:42,000 --> 00:01:47,000 this complicated, expensive cure, you know, this treatment. 33 00:01:47,000 --> 00:01:48,000 And then the child turned two, and I started using 34 00:01:48,000 --> 00:01:51,000 the cheap and easy treatment, and I wonder" -- 35 00:01:51,000 --> 00:01:53,000 and she wondered, like all parents who lose children wonder -- 36 00:01:53,000 --> 00:01:55,000 "if there isn't something that I could have done, 37 00:01:55,000 --> 00:01:59,000 like keep on using that complicated, expensive cure." 38 00:01:59,000 --> 00:02:02,000 And she told all the other people, and she said, 39 00:02:02,000 --> 00:02:04,000 "How could it possibly be that something 40 00:02:04,000 --> 00:02:07,000 that's cheap and simple works as well as something 41 00:02:07,000 --> 00:02:09,000 that's complicated and expensive?" 42 00:02:09,000 --> 00:02:11,000 And the people thought, "You know, you're right. 43 00:02:11,000 --> 00:02:13,000 It probably is the wrong thing to do to switch 44 00:02:13,000 --> 00:02:16,000 and use the cheap and simple solution." 45 00:02:16,000 --> 00:02:19,000 And the government, they heard her story and the other people, 46 00:02:19,000 --> 00:02:22,000 and they said, "Yeah, you're right, we should make a law. 47 00:02:22,000 --> 00:02:24,000 We should outlaw this cheap and simple treatment 48 00:02:24,000 --> 00:02:27,000 and not let anybody use this on their children." 49 00:02:27,000 --> 00:02:29,000 And the people were happy. They were satisfied. 50 00:02:29,000 --> 00:02:32,000 For many years this went along, and everything was fine. 51 00:02:32,000 --> 00:02:37,000 But then along came a lowly economist, who had children himself, 52 00:02:37,000 --> 00:02:44,000 and he used the expensive and complicated treatment. 53 00:02:44,000 --> 00:02:46,000 But he knew about the cheap and simple one. 54 00:02:46,000 --> 00:02:48,000 And he thought about it, and the expensive one 55 00:02:48,000 --> 00:02:51,000 didn't seem that great to him. So he thought, 56 00:02:51,000 --> 00:02:54,000 "I don't know anything about science, but I do know something about data, 57 00:02:54,000 --> 00:02:56,000 so maybe I should go and look at the data 58 00:02:56,000 --> 00:03:00,000 and see whether this expensive and complicated treatment 59 00:03:00,000 --> 00:03:03,000 actually works any better than the cheap and simple one." 60 00:03:03,000 --> 00:03:05,000 And lo and behold, when he went through the data, 61 00:03:05,000 --> 00:03:08,000 he found that it didn't look like the expensive, complicated 62 00:03:08,000 --> 00:03:11,000 solution was any better than the cheap one, 63 00:03:11,000 --> 00:03:13,000 at least for the children who were two and older -- 64 00:03:13,000 --> 00:03:16,000 the cheap one still didn't work on the kids who were younger. 65 00:03:16,000 --> 00:03:20,000 And so, he went forth to the people and he said, 66 00:03:20,000 --> 00:03:22,000 "I've made this wonderful finding: 67 00:03:22,000 --> 00:03:25,000 it looks as if we could just use the cheap and simple solution, 68 00:03:25,000 --> 00:03:28,000 and by doing so we could save ourselves 300 million dollars a year, 69 00:03:28,000 --> 00:03:30,000 and we could spend that on our children in other ways." 70 00:03:30,000 --> 00:03:34,000 And the parents were very unhappy, and they said, 71 00:03:34,000 --> 00:03:36,000 "This is a terrible thing, because how can the cheap and easy thing 72 00:03:36,000 --> 00:03:40,000 be as good as the hard thing?" And the government was very upset. 73 00:03:40,000 --> 00:03:43,000 And in particular, the people who made this expensive solution 74 00:03:43,000 --> 00:03:45,000 were very upset because they thought, 75 00:03:45,000 --> 00:03:48,000 "How can we hope to compete with something that's essentially free? 76 00:03:48,000 --> 00:03:50,000 We would lose all of our market." 77 00:03:50,000 --> 00:03:53,000 And people were very angry, and they called him horrible names. 78 00:03:53,000 --> 00:03:56,000 And he decided that maybe he should leave the country 79 00:03:56,000 --> 00:04:00,000 for a few days, and seek out some more intelligent, 80 00:04:00,000 --> 00:04:03,000 open-minded people in a place called Oxford, 81 00:04:03,000 --> 00:04:06,000 and come and try and tell the story at that place. 82 00:04:06,000 --> 00:04:10,000 And so, anyway, here I am. It's not a fairy tale. 83 00:04:10,000 --> 00:04:12,000 It's a true story about the United States today, 84 00:04:12,000 --> 00:04:15,000 and the disease I'm referring to is actually 85 00:04:15,000 --> 00:04:18,000 motor vehicle accidents for children. 86 00:04:18,000 --> 00:04:24,000 And the free cure is adult seatbelts, and the expensive cure -- 87 00:04:24,000 --> 00:04:28,000 the 300-million-dollar-a-year cure -- is child car seats. 88 00:04:28,000 --> 00:04:30,000 And what I'd like to talk to you about today 89 00:04:30,000 --> 00:04:33,000 is some of the evidence why I believe this to be true: 90 00:04:33,000 --> 00:04:35,000 that for children two years old and up, 91 00:04:35,000 --> 00:04:40,000 there really is no real benefit -- proven benefit -- of car seats, 92 00:04:40,000 --> 00:04:45,000 in spite of the incredible energy 93 00:04:45,000 --> 00:04:48,000 that has been devoted toward expanding the laws 94 00:04:48,000 --> 00:04:50,000 and making it socially unacceptable 95 00:04:50,000 --> 00:04:55,000 to put your children into seatbelts. And then talk about why -- 96 00:04:55,000 --> 00:04:56,000 what is it that makes that true? 97 00:04:56,000 --> 00:04:59,000 And then, finally talk a little bit about a third way, 98 00:04:59,000 --> 00:05:02,000 about another technology, which is probably better than anything we have, 99 00:05:02,000 --> 00:05:05,000 but which -- there hasn't been any enthusiasm for adoption 100 00:05:05,000 --> 00:05:07,000 precisely because people are so enamored 101 00:05:07,000 --> 00:05:10,000 with the current car seat solution. OK. 102 00:05:10,000 --> 00:05:13,000 So, many times when you try to do research on data, 103 00:05:13,000 --> 00:05:17,000 it records complicated stories -- it's hard to find in the data. 104 00:05:17,000 --> 00:05:20,000 It doesn't turn out to be the case when you look at seatbelts versus car seats. 105 00:05:20,000 --> 00:05:22,000 So the United States keeps a data set 106 00:05:22,000 --> 00:05:25,000 of every fatal accident that's happened since 1975. 107 00:05:25,000 --> 00:05:28,000 So in every car crash in which at least one person dies, 108 00:05:28,000 --> 00:05:30,000 they have information on all of the people. 109 00:05:30,000 --> 00:05:33,000 So if you look at that data -- it's right up on the National Highway 110 00:05:33,000 --> 00:05:35,000 Transportation Safety Administration's website -- 111 00:05:35,000 --> 00:05:37,000 you can just look at the raw data, 112 00:05:37,000 --> 00:05:41,000 and begin to get a sense of the limited amount of evidence 113 00:05:41,000 --> 00:05:44,000 that's in favor of car seats for children aged two and up. 114 00:05:44,000 --> 00:05:48,000 So, here is the data. Here I have, among two- to six-year-olds -- 115 00:05:48,000 --> 00:05:50,000 anyone above six, basically no one uses car seats, 116 00:05:50,000 --> 00:05:56,000 so you can't compare -- 29.3 percent of the children who are unrestrained 117 00:05:56,000 --> 00:06:00,000 in a crash in which at least one person dies, themselves die. 118 00:06:00,000 --> 00:06:05,000 If you put a child in a car seat, 18.2 percent of the children die. 119 00:06:05,000 --> 00:06:07,000 If they're wearing a lap-and-shoulder belt, in this raw data, 120 00:06:07,000 --> 00:06:12,000 19.4 percent die. And interestingly, wearing a lap-only seatbelt, 121 00:06:12,000 --> 00:06:14,000 16.7 percent die. And actually, the theory tells you 122 00:06:14,000 --> 00:06:17,000 that the lap-only seatbelt's got to be worse 123 00:06:17,000 --> 00:06:18,000 than the lap-and-shoulder belt. And that just reminds you 124 00:06:18,000 --> 00:06:20,000 that when you deal with raw data, there are hundreds 125 00:06:20,000 --> 00:06:23,000 of confounding variables that may be getting in the way. 126 00:06:23,000 --> 00:06:28,000 So what we do in the study is -- and this is just presenting 127 00:06:28,000 --> 00:06:31,000 the same information, but turned into a figure to make it easier. 128 00:06:31,000 --> 00:06:34,000 So the yellow bar represents car seats, 129 00:06:34,000 --> 00:06:38,000 the orange bar lap-and-shoulder, and the red bar lap-only seatbelts. 130 00:06:38,000 --> 00:06:40,000 And this is all relative to unrestrained -- 131 00:06:40,000 --> 00:06:41,000 the bigger the bar, the better. Okay. 132 00:06:41,000 --> 00:06:43,000 So, this is the data I just showed, OK? 133 00:06:43,000 --> 00:06:46,000 So the highest bar is what you're striving to beat. 134 00:06:46,000 --> 00:06:50,000 So you can control for the basic things, like how hard the crash was, 135 00:06:50,000 --> 00:06:54,000 what seat the child was sitting in, etc., the age of the child. 136 00:06:54,000 --> 00:06:56,000 And that's that middle set of bars. 137 00:06:56,000 --> 00:06:59,000 And so, you can see that the lap-only seatbelts 138 00:06:59,000 --> 00:07:01,000 start to look worse once you do that. 139 00:07:01,000 --> 00:07:03,000 And then finally, the last set of bars, 140 00:07:03,000 --> 00:07:06,000 which are really controlling for everything 141 00:07:06,000 --> 00:07:08,000 you could possibly imagine about the crash, 142 00:07:08,000 --> 00:07:11,000 50, 75, 100 different characteristics of the crash. 143 00:07:11,000 --> 00:07:14,000 And what you find is that the car seats and the lap-and-shoulder belts, 144 00:07:14,000 --> 00:07:18,000 when it comes to saving lives, fatalities look exactly identical. 145 00:07:18,000 --> 00:07:22,000 And the standard error bands are relatively small around these estimates as well. 146 00:07:22,000 --> 00:07:25,000 And it's not just overall. It's very robust 147 00:07:25,000 --> 00:07:27,000 to anything you want to look at. 148 00:07:27,000 --> 00:07:30,000 One thing that's interesting: if you look at frontal-impact crashes -- 149 00:07:30,000 --> 00:07:33,000 when the car crashes, the front hits into something -- 150 00:07:33,000 --> 00:07:37,000 indeed, what you see is that the car seats look a little bit better. 151 00:07:37,000 --> 00:07:39,000 And I think this isn't just chance. 152 00:07:39,000 --> 00:07:40,000 In order to have the car seat approved, 153 00:07:40,000 --> 00:07:43,000 you need to pass certain federal standards, 154 00:07:43,000 --> 00:07:48,000 all of which involve slamming your car into a direct frontal crash. 155 00:07:48,000 --> 00:07:50,000 But when you look at other types of crashes, like rear-impact crashes, 156 00:07:50,000 --> 00:07:53,000 indeed, the car seats don't perform as well. 157 00:07:53,000 --> 00:07:55,000 And I think that's because they've been optimized to pass, 158 00:07:55,000 --> 00:07:57,000 as we always expect people to do, 159 00:07:57,000 --> 00:07:59,000 to optimize relative to bright-line rules 160 00:07:59,000 --> 00:08:03,000 about how affected the car will be. 161 00:08:03,000 --> 00:08:04,000 And the other thing you might argue is, 162 00:08:04,000 --> 00:08:06,000 "Well, car seats have got a lot better over time. 163 00:08:06,000 --> 00:08:09,000 And so if we look at recent crashes -- 164 00:08:09,000 --> 00:08:11,000 the whole data set is almost 30 years' worth of data -- 165 00:08:11,000 --> 00:08:13,000 you won't see it in the recent crashes. The new car seats are far, far better." 166 00:08:13,000 --> 00:08:17,000 But indeed, in recent crashes the lap-and-shoulder seatbelts, 167 00:08:17,000 --> 00:08:20,000 actually, are doing even better than the car seats. 168 00:08:20,000 --> 00:08:23,000 They say, "Well, that's impossible, that can't be." 169 00:08:23,000 --> 00:08:25,000 And the line of argument, if you ask parents, is, 170 00:08:25,000 --> 00:08:28,000 "But car seats are so expensive and complicated, 171 00:08:28,000 --> 00:08:31,000 and they have this big tangle of latches, 172 00:08:31,000 --> 00:08:34,000 how could they possibly not work better than seatbelts 173 00:08:34,000 --> 00:08:36,000 because they are so expensive and complicated?" 174 00:08:36,000 --> 00:08:39,000 It's kind of an interesting logic, 175 00:08:39,000 --> 00:08:42,000 I think, that people use. And the other logic, they say, 176 00:08:42,000 --> 00:08:44,000 "Well, the government wouldn't have told us [to] use them 177 00:08:44,000 --> 00:08:46,000 if they weren't much better." 178 00:08:46,000 --> 00:08:48,000 But what's interesting is the government telling us to use them 179 00:08:48,000 --> 00:08:50,000 is not actually based on very much. 180 00:08:50,000 --> 00:08:53,000 It really is based on some impassioned pleas of parents 181 00:08:53,000 --> 00:08:56,000 whose children died after they turned two, 182 00:08:56,000 --> 00:09:00,000 which has led to the passage of all these laws -- not very much on data. 183 00:09:00,000 --> 00:09:04,000 So you can only get so far, I think, in telling your story 184 00:09:04,000 --> 00:09:06,000 by using these abstract statistics. 185 00:09:06,000 --> 00:09:11,000 And so I had some friends over to dinner, and I was asking -- 186 00:09:11,000 --> 00:09:14,000 we had a cookout -- I was asking them what advice they might have for me 187 00:09:14,000 --> 00:09:18,000 about proving my point. They said, "Why don't you run some crash tests?" 188 00:09:18,000 --> 00:09:20,000 And I said, "That's a great idea." 189 00:09:20,000 --> 00:09:22,000 So we actually tried to commission some crash tests. 190 00:09:22,000 --> 00:09:27,000 And it turns out that as we called around to the independent 191 00:09:27,000 --> 00:09:30,000 crash test companies around the country, 192 00:09:30,000 --> 00:09:32,000 none of them wanted to do our crash test 193 00:09:32,000 --> 00:09:36,000 because they said, some explicitly, some not so explicitly, 194 00:09:36,000 --> 00:09:38,000 "All of our business comes from car seat manufacturers. 195 00:09:38,000 --> 00:09:42,000 We can't risk alienating them by testing seatbelts relative to car seats." 196 00:09:42,000 --> 00:09:46,000 Now, eventually, one did. Under the conditions of anonymity, 197 00:09:46,000 --> 00:09:49,000 they said they would be happy to do this test for us -- 198 00:09:49,000 --> 00:09:54,000 so anonymity, and 1,500 dollars per seat that we crashed. 199 00:09:54,000 --> 00:09:56,000 And so, we went to Buffalo, New York, 200 00:09:56,000 --> 00:09:58,000 and here is the precursor to it. 201 00:09:58,000 --> 00:10:00,000 These are the crash test dummies, 202 00:10:00,000 --> 00:10:03,000 waiting for their chance to take the center stage. 203 00:10:03,000 --> 00:10:05,000 And then, here's how the crash test works. 204 00:10:05,000 --> 00:10:08,000 Here, they don't actually crash the entire car, you know -- 205 00:10:08,000 --> 00:10:11,000 it's not worth ruining a whole car to do it. 206 00:10:11,000 --> 00:10:12,000 So they just have these bench seats, 207 00:10:12,000 --> 00:10:14,000 and they strap the car seat and the seatbelt onto it. 208 00:10:14,000 --> 00:10:16,000 So I just wanted you to look at this. 209 00:10:16,000 --> 00:10:18,000 And I think this gives you a good idea of why parents think 210 00:10:18,000 --> 00:10:20,000 car seats are so great. Look at the kid in the car seat. 211 00:10:20,000 --> 00:10:23,000 Does he not look content, ready to go, 212 00:10:23,000 --> 00:10:25,000 like he could survive anything? And then, if you look at the kid in back, 213 00:10:25,000 --> 00:10:28,000 it looks like he's already choking before the crash even happens. 214 00:10:28,000 --> 00:10:31,000 It's hard to believe, when you look at this, that 215 00:10:31,000 --> 00:10:33,000 that kid in back is going to do very well when you get in a crash. 216 00:10:33,000 --> 00:10:35,000 So this is going to be a crash 217 00:10:35,000 --> 00:10:38,000 where they're going to slam this thing forward into a wall 218 00:10:38,000 --> 00:10:41,000 at 30 miles an hour, and see what happens. OK? 219 00:10:41,000 --> 00:10:43,000 So, let me show you what happens. 220 00:10:43,000 --> 00:10:46,000 These are three-year-old dummies, by the way. 221 00:10:46,000 --> 00:10:48,000 So here -- this is the car seat. Now watch two things: 222 00:10:48,000 --> 00:10:50,000 watch how the head goes forward, 223 00:10:50,000 --> 00:10:52,000 and basically hits the knees -- and this is in the car seat -- 224 00:10:52,000 --> 00:10:57,000 and watch how the car seat flies around, in the rebound, up in the air. 225 00:10:57,000 --> 00:10:59,000 The car seat's moving all over the place. 226 00:10:59,000 --> 00:11:01,000 Bear in mind there are two things about this. 227 00:11:01,000 --> 00:11:04,000 This is a car seat that was installed by someone 228 00:11:04,000 --> 00:11:07,000 who has installed 1,000 car seats, who knew exactly how to do it. 229 00:11:07,000 --> 00:11:08,000 And also it turned out these bench seats 230 00:11:08,000 --> 00:11:11,000 are the very best way to install car seats. 231 00:11:11,000 --> 00:11:14,000 Having a flat back makes it much easier to install them. 232 00:11:14,000 --> 00:11:17,000 And so this is a test that's very much rigged in favor of the car seat, 233 00:11:17,000 --> 00:11:20,000 OK? So, that kid in this crash fared very well. 234 00:11:20,000 --> 00:11:22,000 The federal standards are 235 00:11:22,000 --> 00:11:24,000 that you have to score below a 1,000 236 00:11:24,000 --> 00:11:26,000 to be an approved car seat on this crash, 237 00:11:26,000 --> 00:11:30,000 in some metric of units which are not important. 238 00:11:30,000 --> 00:11:33,000 And this crash would have been about a 450. 239 00:11:33,000 --> 00:11:35,000 So this car seat was actually an above-average car seat 240 00:11:35,000 --> 00:11:37,000 from Consumer Reports, and did quite well. 241 00:11:37,000 --> 00:11:40,000 So the next one. Now, this is the kid, same crash, 242 00:11:40,000 --> 00:11:45,000 who is in the seatbelt. He hardly moves at all, actually, 243 00:11:45,000 --> 00:11:48,000 relative to the other child. The funny thing is, 244 00:11:48,000 --> 00:11:51,000 the cam work is terrible because they've only set it up 245 00:11:51,000 --> 00:11:53,000 to do the car seats, and so, they actually don't even have a way 246 00:11:53,000 --> 00:11:55,000 to move the camera so you can see the kid that's on the rebound. 247 00:11:55,000 --> 00:11:59,000 Anyway, it turns out that those two crashes, that actually 248 00:11:59,000 --> 00:12:03,000 the three-year-old did slightly worse. So, he gets about a 500 249 00:12:03,000 --> 00:12:07,000 out of -- you know, on this range -- relative to a 400 and something. 250 00:12:07,000 --> 00:12:10,000 But still, if you just took that data from that crash 251 00:12:10,000 --> 00:12:13,000 to the federal government, and said, "I have invented a new car seat. 252 00:12:13,000 --> 00:12:16,000 I would like you to approve it for selling," 253 00:12:16,000 --> 00:12:19,000 then they would say, "This is a fantastic new car seat, it works great. 254 00:12:19,000 --> 00:12:21,000 It only got a 500, it could have gotten as high up as a 1,000." 255 00:12:21,000 --> 00:12:24,000 And this seatbelt would have passed with flying colors 256 00:12:24,000 --> 00:12:26,000 into being approved as a car seat. 257 00:12:26,000 --> 00:12:28,000 So, in some sense, what this is suggesting 258 00:12:28,000 --> 00:12:31,000 is that it's not just that people are setting up their car seats wrong, 259 00:12:31,000 --> 00:12:33,000 which is putting children at risk. It's just that, fundamentally, 260 00:12:33,000 --> 00:12:35,000 the car seats aren't doing much. 261 00:12:35,000 --> 00:12:37,000 So here's the crash. So these are timed at the same time, 262 00:12:37,000 --> 00:12:39,000 so you can see that it takes much longer with the car seat -- 263 00:12:39,000 --> 00:12:41,000 at rebound, it takes a lot longer -- 264 00:12:41,000 --> 00:12:45,000 but there's just a lot less movement for child who's in the seatbelt. 265 00:12:45,000 --> 00:12:47,000 So, I'll show you the six-year-old crashes as well. 266 00:12:47,000 --> 00:12:52,000 The six-year-old is in a car seat, and it turns out 267 00:12:52,000 --> 00:12:57,000 that looks terrible, but that's great. That's like a 400, OK? 268 00:12:57,000 --> 00:12:58,000 So that kid would do fine in the crash. 269 00:12:58,000 --> 00:13:02,000 Nothing about that would have been problematic to the child at all. 270 00:13:02,000 --> 00:13:05,000 And then here's the six-year-old in the seatbelt, 271 00:13:05,000 --> 00:13:07,000 and in fact, they get exactly within, you know, 272 00:13:07,000 --> 00:13:11,000 within one or two points of the same. So really, for the six-year-old, 273 00:13:11,000 --> 00:13:15,000 the car seat did absolutely nothing whatsoever. 274 00:13:15,000 --> 00:13:18,000 That's some more evidence, so in some sense -- 275 00:13:18,000 --> 00:13:22,000 I was criticized by a scientist, who said, "You could never publish 276 00:13:22,000 --> 00:13:24,000 a study with an n of 4," meaning those four crashes. 277 00:13:24,000 --> 00:13:28,000 So I wrote him back and I said, "What about an n of 45,004?" 278 00:13:28,000 --> 00:13:30,000 Because I had the other 45,000 other real-world crashes. 279 00:13:30,000 --> 00:13:34,000 And I just think that it's interesting that the idea 280 00:13:34,000 --> 00:13:36,000 of using real-world crashes, which is very much something 281 00:13:36,000 --> 00:13:38,000 that economists think would be the right thing to do, 282 00:13:38,000 --> 00:13:40,000 is something that scientists don't actually, usually think -- 283 00:13:40,000 --> 00:13:43,000 they would rather use a laboratory, 284 00:13:43,000 --> 00:13:45,000 a very imperfect science of looking at the dummies, 285 00:13:45,000 --> 00:13:49,000 than actually 30 years of data of what we've seen 286 00:13:49,000 --> 00:13:52,000 with children and with car seats. 287 00:13:52,000 --> 00:13:56,000 And so I think the answer to this puzzle 288 00:13:56,000 --> 00:13:59,000 is that there's a much better solution out there, 289 00:13:59,000 --> 00:14:02,000 that's gotten nobody excited because everyone 290 00:14:02,000 --> 00:14:06,000 is so delighted with the way car seats are presumably working. 291 00:14:06,000 --> 00:14:09,000 And if you think from a design perspective, 292 00:14:09,000 --> 00:14:11,000 about going back to square one, and say, 293 00:14:11,000 --> 00:14:13,000 "I just want to protect kids in the back seat." 294 00:14:13,000 --> 00:14:15,000 I don't there's anyone in this room who'd say, 295 00:14:15,000 --> 00:14:16,000 "Well, the right way to start would be, 296 00:14:16,000 --> 00:14:19,000 let's make a great seat belt for adults. 297 00:14:19,000 --> 00:14:21,000 And then, let's make this really big contraption 298 00:14:21,000 --> 00:14:24,000 that you have to rig up to it in this daisy chain." 299 00:14:24,000 --> 00:14:27,000 I mean, why not start -- who's sitting in the back seat anyway except for kids? 300 00:14:27,000 --> 00:14:30,000 But essentially, do something like this, 301 00:14:30,000 --> 00:14:32,000 which I don't know exactly how much it would cost to do, 302 00:14:32,000 --> 00:14:33,000 but there's no reason I could see 303 00:14:33,000 --> 00:14:35,000 why this should be much more expensive than a regular car seat. 304 00:14:35,000 --> 00:14:39,000 It's just actually -- you see, this is folding up -- it's behind the seat. 305 00:14:39,000 --> 00:14:41,000 You've got a regular seat for adults, and then you fold it down, 306 00:14:41,000 --> 00:14:43,000 and the kid sits on top, and it's integrated. 307 00:14:43,000 --> 00:14:47,000 It seems to me that this can't be a very expensive solution, 308 00:14:47,000 --> 00:14:50,000 and it's got to work better than what we already have. 309 00:14:50,000 --> 00:14:55,000 So the question is, is there any hope for adoption of something like this, 310 00:14:55,000 --> 00:14:57,000 which would presumably save a lot of lives? 311 00:14:57,000 --> 00:15:01,000 And I think the answer, perhaps, lies in a story. 312 00:15:01,000 --> 00:15:05,000 The answer both to why has a car seat been so successful, 313 00:15:05,000 --> 00:15:08,000 and why this may someday be adopted or not, 314 00:15:08,000 --> 00:15:12,000 lies in a story that my dad told me, relating to when he was a doctor 315 00:15:12,000 --> 00:15:15,000 in the U.S. Air Force in England. And this is a long time ago: 316 00:15:15,000 --> 00:15:17,000 you were allowed to do things then you can't do today. 317 00:15:17,000 --> 00:15:21,000 So, my father would have patients come in 318 00:15:21,000 --> 00:15:24,000 who he thought were not really sick. 319 00:15:24,000 --> 00:15:28,000 And he had a big jar full of placebo pills that he would give them, 320 00:15:28,000 --> 00:15:31,000 and he'd say, "Come back in a week, if you still feel lousy." 321 00:15:31,000 --> 00:15:32,000 OK, and most of them would not come back, 322 00:15:32,000 --> 00:15:34,000 but some of them would come back. 323 00:15:34,000 --> 00:15:38,000 And when they came back, he, still convinced they were not sick, 324 00:15:38,000 --> 00:15:43,000 had another jar of pills. In this jar were huge horse pills. 325 00:15:43,000 --> 00:15:45,000 They were almost impossible to swallow. 326 00:15:45,000 --> 00:15:49,000 And these, to me, are the analogy for the car seats. 327 00:15:49,000 --> 00:15:53,000 People would look at these and say, "Man, this thing is so big 328 00:15:53,000 --> 00:15:55,000 and so hard to swallow. If this doesn't make me feel better, 329 00:15:55,000 --> 00:15:58,000 you know, what possibly could?" 330 00:15:58,000 --> 00:16:00,000 And it turned out that most people wouldn't come back, 331 00:16:00,000 --> 00:16:03,000 because it worked. But every once in a while, 332 00:16:03,000 --> 00:16:08,000 there was still a patient convinced that he was sick, 333 00:16:08,000 --> 00:16:11,000 and he'd come back. And my dad had a third jar of pills. 334 00:16:11,000 --> 00:16:13,000 And the jar of pills he had, he said, 335 00:16:13,000 --> 00:16:16,000 were the tiniest little pills he could find, 336 00:16:16,000 --> 00:16:18,000 so small you could barely see them. 337 00:16:18,000 --> 00:16:20,000 And he would say, listen, I know I gave you that huge pill, 338 00:16:20,000 --> 00:16:24,000 that complicated, hard-to-swallow pill before, 339 00:16:24,000 --> 00:16:26,000 but now I've got one that's so potent, 340 00:16:26,000 --> 00:16:28,000 that is really tiny and small and almost invisible. 341 00:16:28,000 --> 00:16:31,000 It's almost like this thing here, which you can't even see." 342 00:16:31,000 --> 00:16:33,000 And it turned out that never, 343 00:16:33,000 --> 00:16:36,000 in all the times my dad gave out this pill, the really tiny pill, 344 00:16:36,000 --> 00:16:39,000 did anyone ever come back still complaining of sickness. 345 00:16:39,000 --> 00:16:42,000 So, my dad always took that as evidence 346 00:16:42,000 --> 00:16:46,000 that this little, teeny, powerful pill 347 00:16:46,000 --> 00:16:50,000 had the ultimate placebo effect. And in some sense, if that's the right story, 348 00:16:50,000 --> 00:16:52,000 I think integrated car seats you will see, very quickly, 349 00:16:52,000 --> 00:16:56,000 becoming something that everyone has. The other possible conclusion 350 00:16:56,000 --> 00:16:59,000 is, well, maybe after coming to my father three times, 351 00:16:59,000 --> 00:17:01,000 getting sent home with placebos, he still felt sick, 352 00:17:01,000 --> 00:17:03,000 he went and found another doctor. 353 00:17:03,000 --> 00:17:05,000 And that's completely possible. And if that's the case, 354 00:17:05,000 --> 00:17:08,000 then I think we're stuck with conventional car seats for a long time to come. 355 00:17:08,000 --> 00:17:09,000 Thank you very much. 356 00:17:09,000 --> 00:17:13,000 (Applause) 357 00:17:13,000 --> 00:17:15,000 (Audience: I just wanted to ask you, when we wear seatbelts 358 00:17:15,000 --> 00:17:18,000 we don't necessarily wear them just to prevent loss of life, 359 00:17:18,000 --> 00:17:20,000 it's also to prevent lots of serious injury. 360 00:17:20,000 --> 00:17:24,000 Your data looks at fatalities. It doesn't look at serious injury. 361 00:17:24,000 --> 00:17:26,000 Is there any data to show that child seats 362 00:17:26,000 --> 00:17:29,000 are actually less effective, or just as effective as seatbelts 363 00:17:29,000 --> 00:17:31,000 for serious injury? Because that would prove your case.) 364 00:17:31,000 --> 00:17:34,000 Steven Levitt: Yeah, that's a great question. In my data, and in another data set 365 00:17:34,000 --> 00:17:37,000 I've looked at for New Jersey crashes, 366 00:17:37,000 --> 00:17:41,000 I find very small differences in injury. 367 00:17:41,000 --> 00:17:43,000 So in this data, it's statistically insignificant differences 368 00:17:43,000 --> 00:17:47,000 in injury between car seats and lap-and-shoulder belts. 369 00:17:47,000 --> 00:17:48,000 In the New Jersey data, which is different, 370 00:17:48,000 --> 00:17:51,000 because it's not just fatal crashes, 371 00:17:51,000 --> 00:17:53,000 but all crashes in New Jersey that are reported, 372 00:17:53,000 --> 00:17:56,000 it turns out that there is a 10 percent difference in injuries, 373 00:17:56,000 --> 00:17:58,000 but generally they're the minor injuries. 374 00:17:58,000 --> 00:18:00,000 Now, what's interesting, I should say this as a disclaimer, 375 00:18:00,000 --> 00:18:05,000 there is medical literature that is very difficult to resolve with this other data, 376 00:18:05,000 --> 00:18:09,000 which suggests that car seats are dramatically better. 377 00:18:09,000 --> 00:18:11,000 And they use a completely different methodology that involves -- 378 00:18:11,000 --> 00:18:14,000 after the crash occurs, they get from the insurance companies 379 00:18:14,000 --> 00:18:16,000 the names of the people who were in the crash, 380 00:18:16,000 --> 00:18:17,000 and they call them on the phone, 381 00:18:17,000 --> 00:18:18,000 and they asked them what happened. 382 00:18:18,000 --> 00:18:21,000 And I really can't resolve, yet, 383 00:18:21,000 --> 00:18:23,000 and I'd like to work with these medical researchers 384 00:18:23,000 --> 00:18:26,000 to try to understand how there can be these differences, 385 00:18:26,000 --> 00:18:29,000 which are completely at odds with one another. 386 00:18:29,000 --> 00:18:32,000 But it's obviously a critical question. 387 00:18:32,000 --> 00:18:35,000 The question is even if -- are there enough serious injuries 388 00:18:35,000 --> 00:18:38,000 to make these cost-effective? It's kind of tricky. 389 00:18:38,000 --> 00:18:40,000 Even if they're right, it's not so clear 390 00:18:40,000 --> 00:18:41,000 that they're so cost-effective.