1 00:00:00,160 --> 00:00:05,520 Speaker 1: My welcome to Stuff to Blow Your Mind from how 2 00:00:05,559 --> 00:00:13,960 Speaker 1: Stuff Works dot com. Hey you welcome to Stuff to 3 00:00:13,960 --> 00:00:16,120 Speaker 1: Blow your Mind. My name is Robert Lamb and I'm 4 00:00:16,160 --> 00:00:18,919 Speaker 1: Joe McCormick. In. Today, we're gonna be talking about one 5 00:00:18,960 --> 00:00:22,560 Speaker 1: of our favorite subjects, our tendency to believe things that 6 00:00:22,600 --> 00:00:25,520 Speaker 1: aren't true. Uh. Now, Robert, I wonder is there a 7 00:00:25,600 --> 00:00:29,880 Speaker 1: false factoid or claim that you just always find yourself 8 00:00:30,040 --> 00:00:33,239 Speaker 1: recalling as true even though you've checked it before and 9 00:00:33,320 --> 00:00:37,040 Speaker 1: discovered it to be false in the past. Yeah, this 10 00:00:37,080 --> 00:00:39,599 Speaker 1: is an interesting question because I feel like there are 11 00:00:39,600 --> 00:00:42,559 Speaker 1: things that come up in research all the time, certainly 12 00:00:43,159 --> 00:00:45,240 Speaker 1: key things over the years. Uh. You know, as we 13 00:00:45,360 --> 00:00:48,320 Speaker 1: research and riot different topics where I have to correct on, 14 00:00:48,479 --> 00:00:50,159 Speaker 1: you know, where I think I knew something and then 15 00:00:50,159 --> 00:00:52,159 Speaker 1: I'm like, oh, well that's that's actually now that actually 16 00:00:52,159 --> 00:00:54,560 Speaker 1: do the research, it's not not a not a fact. 17 00:00:55,080 --> 00:00:57,440 Speaker 1: And then then you know, the same goes for false beliefs, 18 00:00:57,440 --> 00:01:00,560 Speaker 1: that beliefs that they creep in the sort of Mandela 19 00:01:00,720 --> 00:01:04,040 Speaker 1: fact type of scenario. For instance, there was a time 20 00:01:04,080 --> 00:01:07,200 Speaker 1: when I thought Gene Wilder was dead prior to his 21 00:01:07,240 --> 00:01:09,560 Speaker 1: actual death, and then as he actually dead, now he 22 00:01:09,680 --> 00:01:11,440 Speaker 1: was actually dead now. So I thought he was dead 23 00:01:11,480 --> 00:01:13,640 Speaker 1: before he was dead exactly because and I think it 24 00:01:13,720 --> 00:01:16,959 Speaker 1: was just a combination of he was not as active anymore, 25 00:01:17,440 --> 00:01:21,120 Speaker 1: and I wasn't really keeping up with the Gene Wilder 26 00:01:21,160 --> 00:01:24,600 Speaker 1: filmography and like current events related to Gene Wilder and 27 00:01:24,959 --> 00:01:27,080 Speaker 1: something maybe I picked up on some news piece at 28 00:01:27,120 --> 00:01:30,120 Speaker 1: some point and somehow he got clicked to the dead category. 29 00:01:30,280 --> 00:01:31,840 Speaker 1: And then when I found out he was alive, it 30 00:01:31,920 --> 00:01:34,080 Speaker 1: was it was really like he came back to life. 31 00:01:34,520 --> 00:01:36,960 Speaker 1: And I had the same thing happened literally just the 32 00:01:36,959 --> 00:01:40,320 Speaker 1: other day with a standout comedian, Larry Miller. I don't 33 00:01:40,319 --> 00:01:43,240 Speaker 1: think I remember who that is. Oh. He he had 34 00:01:43,280 --> 00:01:46,920 Speaker 1: to kind of you know, dry observational comedy. He he 35 00:01:47,040 --> 00:01:49,240 Speaker 1: had a I think he still acts, but he would 36 00:01:49,240 --> 00:01:52,200 Speaker 1: show up on say night chord. I think, oh wait 37 00:01:52,240 --> 00:01:54,720 Speaker 1: a minute of seeing some Christopher Guest movies. He may 38 00:01:54,760 --> 00:01:59,320 Speaker 1: have been. Yeah, But for some reason years ago, I 39 00:01:59,360 --> 00:02:01,560 Speaker 1: got into my had that he had passed away, And 40 00:02:01,640 --> 00:02:04,080 Speaker 1: so occasionally I would think of Larry Miller and be like, oh, yeah, 41 00:02:04,080 --> 00:02:07,600 Speaker 1: I remember Larry Miller. Too bad he passed. And then 42 00:02:07,640 --> 00:02:09,320 Speaker 1: I actually looked him up the other day and it 43 00:02:09,360 --> 00:02:11,400 Speaker 1: turns out he has not passed away. He's still very 44 00:02:11,440 --> 00:02:14,600 Speaker 1: much alive and active, and I was just living in 45 00:02:14,600 --> 00:02:17,360 Speaker 1: this fantasy world of dead Larry Miller's. You know, I 46 00:02:17,400 --> 00:02:21,400 Speaker 1: have false beliefs that recur with much more significance, Like 47 00:02:21,520 --> 00:02:25,760 Speaker 1: I keep remembering that. Yeah, maybe it's just because I 48 00:02:25,800 --> 00:02:27,400 Speaker 1: was told this all the time when I was a kid, 49 00:02:27,680 --> 00:02:32,160 Speaker 1: that vitamin C supplements will ward off colds. That is 50 00:02:32,200 --> 00:02:35,520 Speaker 1: not experimentally proven, that that is like not a finding 51 00:02:35,560 --> 00:02:38,640 Speaker 1: of science. And yet I just always if I haven't 52 00:02:38,720 --> 00:02:42,320 Speaker 1: checked in a while, it just seeps right back in, like, yes, 53 00:02:42,400 --> 00:02:45,200 Speaker 1: that is true, vitamin C it'll keep colds away. Well, 54 00:02:45,240 --> 00:02:47,120 Speaker 1: it's easy to fall into the trap. I do this 55 00:02:47,160 --> 00:02:50,320 Speaker 1: all the time with with various vitamins and some supplements 56 00:02:50,360 --> 00:02:52,240 Speaker 1: where I'm like, I don't know if it works, probably 57 00:02:52,240 --> 00:02:54,280 Speaker 1: doesn't work, but I'm gonna go and take it just 58 00:02:54,320 --> 00:02:56,880 Speaker 1: in case, because it's it's vitamin C. You know, what's 59 00:02:56,919 --> 00:02:59,160 Speaker 1: the what's what's the harm there? It's kind of like 60 00:02:59,200 --> 00:03:03,560 Speaker 1: believing in God's in cases that he exists. Believing in vitamins. Yeah, 61 00:03:03,639 --> 00:03:05,880 Speaker 1: but then you end up with like a weird sort 62 00:03:05,880 --> 00:03:08,440 Speaker 1: of vitamin tentnacle going out of your neck and you 63 00:03:08,480 --> 00:03:11,480 Speaker 1: didn't see that coming. That's fake news. The Joe Vitamin 64 00:03:11,480 --> 00:03:13,320 Speaker 1: C will not cause a tentacle to grow out of 65 00:03:13,320 --> 00:03:17,079 Speaker 1: your neck. But now you've heard it, it's true. Um. 66 00:03:17,280 --> 00:03:18,760 Speaker 1: You know, I feel like there are things that have 67 00:03:18,800 --> 00:03:23,520 Speaker 1: popped up where where I'll think, well, I've always heard X, 68 00:03:23,919 --> 00:03:26,880 Speaker 1: but I've never actually looked it up. Um. And and 69 00:03:26,919 --> 00:03:29,600 Speaker 1: then that's where the problem seeps in, you know, where 70 00:03:29,600 --> 00:03:31,799 Speaker 1: I just I think I know something, but I'm not sure, 71 00:03:31,840 --> 00:03:35,640 Speaker 1: but I don't care enough to actually investigate. Um. There 72 00:03:35,720 --> 00:03:38,440 Speaker 1: is one possible example that that comes up, and that 73 00:03:38,560 --> 00:03:41,280 Speaker 1: is there was this, of course, the idea that George 74 00:03:41,280 --> 00:03:45,920 Speaker 1: Washington Carver invented peanut better. He did know he had 75 00:03:45,960 --> 00:03:48,440 Speaker 1: something to do with peanuts. He had, so yeah, he was. 76 00:03:48,520 --> 00:03:51,840 Speaker 1: He was. He is a famous inventor, important to African 77 00:03:51,880 --> 00:03:55,640 Speaker 1: American inventor. And I just I didn't know a lot 78 00:03:55,680 --> 00:03:58,360 Speaker 1: about him, and I had always heard the peanut better thing, 79 00:03:59,080 --> 00:04:01,560 Speaker 1: but I didn't actually research until I helped my son 80 00:04:01,640 --> 00:04:04,800 Speaker 1: with a class project about him earlier this year, and 81 00:04:04,840 --> 00:04:07,440 Speaker 1: then I was able to definitely, you know, check that 82 00:04:07,480 --> 00:04:09,600 Speaker 1: one off on the mental list, like, okay, this is 83 00:04:09,840 --> 00:04:12,320 Speaker 1: this is this is false. He did not invent peanut butter. 84 00:04:12,400 --> 00:04:15,720 Speaker 1: He did, but he did do stuff with peanuts, do 85 00:04:15,760 --> 00:04:18,599 Speaker 1: stuff with peanuts, but not peanut butter. Okay. You know. 86 00:04:18,640 --> 00:04:22,880 Speaker 1: A huge place where you can see false beliefs persisting 87 00:04:23,440 --> 00:04:27,480 Speaker 1: um is in people's beliefs about sort of like political 88 00:04:27,800 --> 00:04:32,560 Speaker 1: facts or sociological data. A very very common one is 89 00:04:32,600 --> 00:04:36,720 Speaker 1: people's beliefs about crime. I think it's because like crime 90 00:04:36,839 --> 00:04:39,920 Speaker 1: is one of those like sensational types of subjects and 91 00:04:39,960 --> 00:04:43,039 Speaker 1: makes people think about violence, images of blood they see 92 00:04:43,040 --> 00:04:45,360 Speaker 1: on the news and stuff like that. In a poll 93 00:04:45,360 --> 00:04:48,840 Speaker 1: conducted by Pew in the fall of get this, fifty 94 00:04:48,960 --> 00:04:52,520 Speaker 1: seven percent, so a majority of people who had voted 95 00:04:52,600 --> 00:04:56,240 Speaker 1: or planned to vote in ten said that crime had 96 00:04:56,279 --> 00:04:59,560 Speaker 1: gotten worse in the United States since two thousand eight 97 00:05:00,279 --> 00:05:03,719 Speaker 1: by every objective measure. Exactly. The opposite is true. That's 98 00:05:03,760 --> 00:05:07,400 Speaker 1: just not true. FBI statistics based off of like nationwide 99 00:05:07,440 --> 00:05:10,880 Speaker 1: police reports UH found that violent crime and property crime 100 00:05:10,920 --> 00:05:15,560 Speaker 1: in the United States fell nineteen percent and twenty three percent, respectively, 101 00:05:15,920 --> 00:05:20,000 Speaker 1: between two thousand and eight. And and so you think, okay, well, 102 00:05:20,040 --> 00:05:22,760 Speaker 1: maybe that if that's just police reports, maybe fewer people 103 00:05:22,760 --> 00:05:26,120 Speaker 1: are reporting crimes to the police, right, But also the 104 00:05:26,200 --> 00:05:29,479 Speaker 1: U S Department of Justice. Bureau of Justice Statistics does 105 00:05:29,560 --> 00:05:33,520 Speaker 1: direct annual surveys of more than ninety thousand households to 106 00:05:33,520 --> 00:05:35,800 Speaker 1: see about rates of crime that might not be reported 107 00:05:35,800 --> 00:05:38,640 Speaker 1: to police, and quote the b j S state to 108 00:05:38,720 --> 00:05:41,960 Speaker 1: show that violent crime and property crime rates fell twenty 109 00:05:42,040 --> 00:05:45,760 Speaker 1: six percent and twenty two percent, respectively between two thousand eight. 110 00:05:45,760 --> 00:05:49,320 Speaker 1: And so a majority of people are believing something that 111 00:05:49,360 --> 00:05:52,640 Speaker 1: by every measure we know, is not true. Crime has 112 00:05:52,680 --> 00:05:55,400 Speaker 1: gone down, and yet a majority of people believe it 113 00:05:55,440 --> 00:05:59,360 Speaker 1: has gone up. And it's not hard to see why 114 00:05:59,400 --> 00:06:02,320 Speaker 1: that might be true when you consider like the political 115 00:06:02,400 --> 00:06:05,800 Speaker 1: messaging of certain politicians. It's also you could also, of 116 00:06:05,800 --> 00:06:09,440 Speaker 1: course think about just people negativity bias, right, the tendency 117 00:06:09,480 --> 00:06:11,640 Speaker 1: to believe things are worse than they are in the 118 00:06:11,720 --> 00:06:16,279 Speaker 1: broad sense or mean world syndrome looking at dangerous stuff 119 00:06:16,320 --> 00:06:19,479 Speaker 1: happening on the news and thus having an overrepresentation of 120 00:06:19,520 --> 00:06:21,920 Speaker 1: it in your mind. But I think we would be 121 00:06:21,960 --> 00:06:27,200 Speaker 1: wrong to ignore the effects of hearing specific politicians well, 122 00:06:27,360 --> 00:06:30,479 Speaker 1: for for example, in twenty sixteen, specifically, it was Donald 123 00:06:30,480 --> 00:06:33,720 Speaker 1: Trump a lot talking about how crime is through the roof, right, 124 00:06:33,760 --> 00:06:36,680 Speaker 1: And to your point, we can look to statistics on this. 125 00:06:36,680 --> 00:06:39,040 Speaker 1: This is not something that is uh, that is just 126 00:06:39,279 --> 00:06:41,440 Speaker 1: you know, in the ether, we have hard data. It's 127 00:06:41,440 --> 00:06:43,839 Speaker 1: not a matter of opinion. It's just like every measure 128 00:06:43,880 --> 00:06:47,360 Speaker 1: we have says that's not correct. But what about other beliefs, 129 00:06:47,400 --> 00:06:49,720 Speaker 1: I mean that that's certainly not in isolation. There are 130 00:06:49,720 --> 00:06:54,080 Speaker 1: lots of cases where there are widespread beliefs in things 131 00:06:54,120 --> 00:06:58,159 Speaker 1: that are just simply factually not true. Yeah. I'll run 132 00:06:58,200 --> 00:07:01,359 Speaker 1: through a few here that that range on topic. For instance, 133 00:07:01,400 --> 00:07:04,320 Speaker 1: here's a nice science related one to kick off with. UH. 134 00:07:04,440 --> 00:07:08,359 Speaker 1: In a two thousand fifteen PU survey, only thirty percent 135 00:07:08,400 --> 00:07:11,480 Speaker 1: of Americans knew that water boils at a lower temperature 136 00:07:11,480 --> 00:07:14,840 Speaker 1: at higher altitudes. Thirty nine percent said it would boil 137 00:07:14,880 --> 00:07:17,800 Speaker 1: at the same temperature in Denver in l A, again 138 00:07:17,880 --> 00:07:23,400 Speaker 1: Denver being at a far higher altitude, and had it reversed. 139 00:07:23,480 --> 00:07:26,040 Speaker 1: So the majority, something like two thirds of people were 140 00:07:26,080 --> 00:07:29,840 Speaker 1: just flat wrong, yes and uh yeah. And to put 141 00:07:29,880 --> 00:07:33,240 Speaker 1: that in perspective with another science fact, most Americans in 142 00:07:33,240 --> 00:07:38,040 Speaker 1: this two thousand fifteen survey eight correctly identified the Earth's 143 00:07:38,080 --> 00:07:41,640 Speaker 1: inner layer, the core, as its hottest part. And uh 144 00:07:41,720 --> 00:07:45,400 Speaker 1: nearly as many two percent knew that uranium was needed 145 00:07:45,440 --> 00:07:49,160 Speaker 1: to make nuclear energy and nuclear weapons. Well, should we 146 00:07:49,200 --> 00:07:51,240 Speaker 1: be comforted by the fact that that's what people know. 147 00:07:51,880 --> 00:07:54,640 Speaker 1: I don't like, they don't know much about water, but 148 00:07:54,680 --> 00:07:58,520 Speaker 1: they know about nuclear weapons. Well. I mean, on one hand, 149 00:07:58,680 --> 00:08:03,400 Speaker 1: nuclear weapons is was is and was more in the news. Uh. 150 00:08:03,440 --> 00:08:05,640 Speaker 1: And then on the other hand, like the the inside 151 00:08:05,640 --> 00:08:11,560 Speaker 1: of the earth is more engaging and and also completely unpoliticized. Uh. Well, well, 152 00:08:11,640 --> 00:08:14,400 Speaker 1: water is not politically boiling point of water is not politicized. 153 00:08:14,440 --> 00:08:17,680 Speaker 1: But it's also not very sexy. I guess like it's 154 00:08:17,720 --> 00:08:21,800 Speaker 1: it's it's one of those things where unless you're actively 155 00:08:21,880 --> 00:08:25,679 Speaker 1: moving from low to high altitudes, or you know, living 156 00:08:25,800 --> 00:08:27,240 Speaker 1: part of your time and dinner from part of your 157 00:08:27,240 --> 00:08:30,040 Speaker 1: time in l A, I guess it's it's very possible 158 00:08:30,080 --> 00:08:32,560 Speaker 1: to live your entire life without really having any real 159 00:08:32,640 --> 00:08:35,600 Speaker 1: world experience with the difference. Uh. Though, I do feel 160 00:08:35,640 --> 00:08:38,920 Speaker 1: like if you read enough baking manuals, it comes up. Yeah, 161 00:08:38,920 --> 00:08:41,040 Speaker 1: but maybe you just don't remember which way it goes. 162 00:08:41,120 --> 00:08:43,120 Speaker 1: I guess I say that you know one of the 163 00:08:43,160 --> 00:08:45,920 Speaker 1: ones you've got here that that has come up many 164 00:08:45,960 --> 00:08:47,920 Speaker 1: times in my life. It's come up enough that I 165 00:08:48,000 --> 00:08:51,280 Speaker 1: know the right answer now. But the misconception that you 166 00:08:51,320 --> 00:08:54,840 Speaker 1: can see the Great Wall of China from space. Oh yeah, 167 00:08:54,880 --> 00:08:56,840 Speaker 1: this is one that I have to admit. I think 168 00:08:56,960 --> 00:08:59,920 Speaker 1: I used to adhere to again without really a rap 169 00:09:00,000 --> 00:09:02,040 Speaker 1: princing it, because it just it had that kind of 170 00:09:02,040 --> 00:09:04,680 Speaker 1: truthiness to it, right, and you want it to be 171 00:09:04,559 --> 00:09:08,720 Speaker 1: to be real. The idea that that this this epic 172 00:09:08,880 --> 00:09:13,880 Speaker 1: structure created uh you know long ago, is visible from space, 173 00:09:14,720 --> 00:09:19,040 Speaker 1: but it's actually been been disproven multiple times. It's it's 174 00:09:19,080 --> 00:09:23,320 Speaker 1: only visible from low orbit under very ideal conditions, and 175 00:09:23,360 --> 00:09:25,280 Speaker 1: it's not visible from the moon at all. Because that's 176 00:09:25,280 --> 00:09:27,760 Speaker 1: another version of it, that it's that that the Great 177 00:09:27,760 --> 00:09:29,960 Speaker 1: Wall of China can be seen from the moon. Yeah, 178 00:09:29,960 --> 00:09:32,840 Speaker 1: I guess there are nuances to the word visible. What's 179 00:09:32,960 --> 00:09:35,319 Speaker 1: that mean? But in the normal sense that you would 180 00:09:35,320 --> 00:09:39,320 Speaker 1: mean it's not visible from space. Now a two thousand 181 00:09:39,440 --> 00:09:43,360 Speaker 1: sixteen you gov poll, this was this is a UK group. 182 00:09:44,000 --> 00:09:47,560 Speaker 1: They looked at how belief in Pizza Gate, that thing, 183 00:09:48,120 --> 00:09:52,280 Speaker 1: how that shakes out across different voter groups. Now, that 184 00:09:52,360 --> 00:09:55,160 Speaker 1: was this vast conspiracy theory people had about how there 185 00:09:55,200 --> 00:09:58,160 Speaker 1: was a pizza restaurant in Washington, d C. That was 186 00:09:58,240 --> 00:10:01,080 Speaker 1: like running child slavery ings that was linked to the 187 00:10:01,120 --> 00:10:03,559 Speaker 1: Democratic Party. Yeah, it had to do with an idea 188 00:10:03,640 --> 00:10:10,000 Speaker 1: that Clinton campaign emails supposedly talked about human trafficking and pedophilia. 189 00:10:10,040 --> 00:10:14,400 Speaker 1: And according to this particular poll, seventeen percent of polled 190 00:10:14,520 --> 00:10:18,000 Speaker 1: Clinton voters believed that that this was the case, this 191 00:10:18,160 --> 00:10:22,480 Speaker 1: was a reality, and forty percent of Trump voters did. Um. 192 00:10:22,520 --> 00:10:24,800 Speaker 1: And then there's another classic they looked out to to 193 00:10:24,800 --> 00:10:28,480 Speaker 1: put this in perspective, the idea that President Barack Obama 194 00:10:28,520 --> 00:10:33,360 Speaker 1: was born in Kenya. Kind Of alarmingly enough, across both 195 00:10:33,400 --> 00:10:36,160 Speaker 1: groups of voters, both the Clinton voters and the Trump voters, 196 00:10:36,240 --> 00:10:39,120 Speaker 1: they found thirty six percent believed it, despite the fact 197 00:10:39,120 --> 00:10:42,360 Speaker 1: that that too, has been debunked time and time again. Yeah, 198 00:10:42,400 --> 00:10:46,040 Speaker 1: I mean, it's crazy that these types of beliefs can 199 00:10:46,080 --> 00:10:50,200 Speaker 1: catch on so well, especially like we we understand very 200 00:10:50,280 --> 00:10:55,319 Speaker 1: well the way that political ideology and tribal thinking affects 201 00:10:55,400 --> 00:10:58,640 Speaker 1: the way we form opinions. Obviously, our our opinions are 202 00:10:58,679 --> 00:11:02,240 Speaker 1: deeply informed by what people we view as our in 203 00:11:02,400 --> 00:11:04,959 Speaker 1: group believe, and so we want to be in line 204 00:11:05,000 --> 00:11:07,280 Speaker 1: with the in group and and stuff like that. But 205 00:11:07,320 --> 00:11:10,000 Speaker 1: you also can't really ignore the fact that these are 206 00:11:10,040 --> 00:11:12,920 Speaker 1: things that if you pay attention to certain sources you're 207 00:11:12,960 --> 00:11:16,760 Speaker 1: going to be hearing over and over and over again, 208 00:11:16,960 --> 00:11:20,000 Speaker 1: and what effect that might have, Because it's, you know, 209 00:11:20,120 --> 00:11:23,920 Speaker 1: widely accepted folk wisdom that if you repeat a lie enough, 210 00:11:24,000 --> 00:11:27,080 Speaker 1: people start to believe that it's the truth. Right, That's 211 00:11:27,080 --> 00:11:28,760 Speaker 1: one of the things. I mean, I don't know, you've 212 00:11:28,760 --> 00:11:31,840 Speaker 1: said it enough times that I'm already convinced exactly, I 213 00:11:31,880 --> 00:11:34,440 Speaker 1: mean almost going along with this. Uh. There's a quote 214 00:11:34,480 --> 00:11:39,400 Speaker 1: that often gets sourced to the Nazi propaganda minister Joseph Gebbele's. Uh. 215 00:11:39,760 --> 00:11:42,000 Speaker 1: Some versions of the quote say something like, if you 216 00:11:42,040 --> 00:11:44,839 Speaker 1: repeat a lie often enough, people will believe it, and 217 00:11:44,880 --> 00:11:48,160 Speaker 1: you will even come to believe it yourself. I couldn't 218 00:11:48,200 --> 00:11:50,920 Speaker 1: find any evidence that just Gebbels actually said that. It 219 00:11:50,960 --> 00:11:53,800 Speaker 1: seems to be a misattribution, but it's sort of a 220 00:11:53,840 --> 00:11:57,640 Speaker 1: paraphrase of similar ideas that are you know, within that 221 00:11:57,640 --> 00:12:00,840 Speaker 1: that frame of thinking. Like Adolf Hitler himself throat in 222 00:12:00,960 --> 00:12:05,160 Speaker 1: mind comp quote, The most brilliant propagandist technique will yield 223 00:12:05,240 --> 00:12:08,600 Speaker 1: no success unless one fundamental principle is born in mind 224 00:12:08,640 --> 00:12:13,040 Speaker 1: constantly and with unflagging attention. It must confine itself to 225 00:12:13,080 --> 00:12:16,439 Speaker 1: a few points and repeat them over and over here, 226 00:12:16,480 --> 00:12:19,360 Speaker 1: as so often in the world, persistence is the first 227 00:12:19,679 --> 00:12:23,760 Speaker 1: and most important requirement for success. So just the fact 228 00:12:23,760 --> 00:12:26,480 Speaker 1: that Hitler said it obviously shouldn't make us think, well, 229 00:12:26,520 --> 00:12:28,640 Speaker 1: you know, he's right. He was Hitler though. If if 230 00:12:28,679 --> 00:12:30,960 Speaker 1: Hitler was good at anything, it was getting lots of 231 00:12:30,960 --> 00:12:34,880 Speaker 1: people to believe lies. Certainly. So, I think because this 232 00:12:34,960 --> 00:12:38,319 Speaker 1: is such an important issue, and because widespread misconceptions are 233 00:12:38,360 --> 00:12:41,640 Speaker 1: so common, and because they can, in fact, especially in 234 00:12:41,640 --> 00:12:45,680 Speaker 1: some political circumstances, be so destructive, and because the repetition 235 00:12:45,720 --> 00:12:49,400 Speaker 1: of lies and false statements in in at every scale 236 00:12:49,440 --> 00:12:51,760 Speaker 1: of existence, you know, in in mass media and in 237 00:12:51,800 --> 00:12:55,040 Speaker 1: our personal private lives, is so common, I think it's 238 00:12:55,040 --> 00:12:58,720 Speaker 1: worth looking at the actual empirical case. Is this true, 239 00:12:59,000 --> 00:13:04,040 Speaker 1: the idea that repeeding statements over and over does that 240 00:13:04,120 --> 00:13:06,760 Speaker 1: actually change what we believe. It's one of those things 241 00:13:06,800 --> 00:13:09,080 Speaker 1: that you know, it sounds so common sensical you just 242 00:13:09,160 --> 00:13:13,040 Speaker 1: assume it's true. But according to the logic we're using now, 243 00:13:13,080 --> 00:13:15,720 Speaker 1: those are exactly the kinds of statements that maybe we 244 00:13:15,760 --> 00:13:18,240 Speaker 1: should be careful about. Yeah, and I think this is 245 00:13:18,240 --> 00:13:21,200 Speaker 1: an important important topic for for everybody. I don't care 246 00:13:21,200 --> 00:13:24,559 Speaker 1: who you voted for in any previous elections, or which 247 00:13:24,760 --> 00:13:27,920 Speaker 1: political party in your given system that you adhere to. 248 00:13:28,320 --> 00:13:31,240 Speaker 1: I think if you're listening to this show especially, you 249 00:13:31,280 --> 00:13:35,320 Speaker 1: want to think for yourself. You want to reduce the 250 00:13:35,360 --> 00:13:38,120 Speaker 1: amount of manipulation that's going on with your your own 251 00:13:38,200 --> 00:13:41,600 Speaker 1: view of reality and and and that's what we're going 252 00:13:41,679 --> 00:13:45,360 Speaker 1: to discuss here today. We're gonna discuss the degree to 253 00:13:45,440 --> 00:13:51,480 Speaker 1: which false information can manipulate our view of reality and ultimately, 254 00:13:51,720 --> 00:13:54,440 Speaker 1: what are some of the things we can do to 255 00:13:54,440 --> 00:13:57,679 Speaker 1: to hold onto our our our individuality and all of 256 00:13:57,679 --> 00:13:59,760 Speaker 1: this exactly. So this is going to be the first 257 00:13:59,760 --> 00:14:02,680 Speaker 1: of a two part episode where we explore the liar's 258 00:14:02,800 --> 00:14:07,360 Speaker 1: best trick, the question of repetition and exposure in forming 259 00:14:07,360 --> 00:14:10,880 Speaker 1: our beliefs and changing our attitudes. So that's going to 260 00:14:10,960 --> 00:14:13,920 Speaker 1: be the jumping off point for today's episode. Does exposure 261 00:14:13,960 --> 00:14:17,880 Speaker 1: and repetition Is hearing a claim and hearing it repeated 262 00:14:17,960 --> 00:14:21,280 Speaker 1: actually have the power to change our beliefs or is 263 00:14:21,320 --> 00:14:24,880 Speaker 1: that just unverified folk wisdom? Yeah? And and of course 264 00:14:24,920 --> 00:14:26,880 Speaker 1: it goes it goes well beyond politics. It also gets 265 00:14:26,880 --> 00:14:30,560 Speaker 1: into marketing. You know, we've we've touched on the manipulative 266 00:14:30,920 --> 00:14:34,760 Speaker 1: nature of marketing and advertisement on the show before, And 267 00:14:35,440 --> 00:14:37,360 Speaker 1: it's always one of the things you always come back to. 268 00:14:37,360 --> 00:14:39,800 Speaker 1: It's always about messaging, right, like what is the message 269 00:14:39,800 --> 00:14:42,080 Speaker 1: of the product, what's the message of the ad campaign? 270 00:14:42,360 --> 00:14:45,520 Speaker 1: And how they just continue to hammer that home. Why 271 00:14:45,600 --> 00:14:49,040 Speaker 1: do brands have slogans? Yeah? Why don't they just tell 272 00:14:49,160 --> 00:14:52,560 Speaker 1: you a positive message about the brand that's different every time? 273 00:14:52,720 --> 00:14:55,400 Speaker 1: Why do they tell you the same message in the 274 00:14:55,480 --> 00:14:59,640 Speaker 1: same words in every commercial? Yeah? Why did those fabulous 275 00:15:00,120 --> 00:15:02,440 Speaker 1: horror trailers from the nineteen seventies say the name of 276 00:15:02,440 --> 00:15:05,880 Speaker 1: the film eighteen times, don't go in the basement, don't 277 00:15:05,920 --> 00:15:10,120 Speaker 1: go in the basement? No one er seventeen will be admitted. Yeah, 278 00:15:10,160 --> 00:15:12,360 Speaker 1: it's all. It's all kind of part of the same situation. 279 00:15:12,680 --> 00:15:14,480 Speaker 1: All right, Well, we're going to take a quick break 280 00:15:14,520 --> 00:15:16,760 Speaker 1: and when we get back we will dive into the 281 00:15:16,880 --> 00:15:21,160 Speaker 1: research in the history of psychology about repetition and exposure. 282 00:15:22,120 --> 00:15:26,200 Speaker 1: Thank alright, we're back. So the first question we're going 283 00:15:26,240 --> 00:15:29,280 Speaker 1: to be looking at today is whether anyone has actually 284 00:15:29,360 --> 00:15:33,240 Speaker 1: studied this question, this question of whether exposing people to 285 00:15:33,400 --> 00:15:37,000 Speaker 1: acclaim and then repeating the claim makes them believe it, 286 00:15:37,360 --> 00:15:40,880 Speaker 1: Whether anybody studied that in a controlled scientific context. And 287 00:15:40,880 --> 00:15:43,960 Speaker 1: the answer is a resounding yes. There are I think 288 00:15:44,080 --> 00:15:47,760 Speaker 1: dozens of studies on this subject in various forms. Probably 289 00:15:47,800 --> 00:15:50,800 Speaker 1: the flagship study on this, the first big one that 290 00:15:50,840 --> 00:15:54,360 Speaker 1: everybody sites that that really got people into the subject, 291 00:15:54,440 --> 00:15:56,680 Speaker 1: that got the ball rolling on it was from ninety 292 00:15:56,760 --> 00:16:00,120 Speaker 1: seven and it was by Lynn Hasher, David Goldstein, and 293 00:16:00,160 --> 00:16:04,280 Speaker 1: Thomas Topino, and it was called Frequency and the Conference 294 00:16:04,360 --> 00:16:08,240 Speaker 1: of Referential Validity in the Journal of Verbal Learning and 295 00:16:08,320 --> 00:16:10,680 Speaker 1: Verbal Behavior. And that was, as I said, in nineteen 296 00:16:10,760 --> 00:16:13,800 Speaker 1: seventy seven. So the authors started out in the study 297 00:16:13,840 --> 00:16:16,720 Speaker 1: by talking about how most studies of memory that take 298 00:16:16,800 --> 00:16:21,560 Speaker 1: place in the lab involved useless or meaningless information units. 299 00:16:21,560 --> 00:16:24,320 Speaker 1: So researchers, for example, might try to see how well 300 00:16:24,560 --> 00:16:27,400 Speaker 1: subjects remember a phrase like I just made this up. 301 00:16:27,640 --> 00:16:31,720 Speaker 1: The purple donkey was made of soft spoken muscular elves, Like, 302 00:16:31,760 --> 00:16:35,240 Speaker 1: can you remember that word for word? The purple donkey 303 00:16:35,360 --> 00:16:40,000 Speaker 1: was made by muscular elves, now, now you're close, not 304 00:16:40,160 --> 00:16:42,840 Speaker 1: made of Yeah, it makes a lot more sense to 305 00:16:42,880 --> 00:16:45,120 Speaker 1: say made by wo But I see, I've already messed 306 00:16:45,200 --> 00:16:49,400 Speaker 1: up the origin story of the purple donkey. Statements like 307 00:16:49,400 --> 00:16:51,800 Speaker 1: this have no importance in the real world, and part 308 00:16:51,800 --> 00:16:54,680 Speaker 1: of what they were talking about is that we're testing 309 00:16:54,720 --> 00:16:59,360 Speaker 1: for memory and things that don't have any validity to reality. Um, 310 00:16:59,600 --> 00:17:02,120 Speaker 1: so the authors right that they're curious about what kind 311 00:17:02,160 --> 00:17:05,720 Speaker 1: of processing subjects do with information units that might have 312 00:17:05,880 --> 00:17:10,359 Speaker 1: validity in the real world. For example, factual statements like quote, 313 00:17:10,560 --> 00:17:14,360 Speaker 1: the total population of Greenland is about fifty thou which 314 00:17:14,359 --> 00:17:17,040 Speaker 1: at the time of the study it was I checked. Though, 315 00:17:17,080 --> 00:17:18,840 Speaker 1: that seems like a lot more people than should be 316 00:17:18,840 --> 00:17:22,320 Speaker 1: in Greenland, right I was. I was surprised by that. Well, yeah, 317 00:17:22,280 --> 00:17:25,600 Speaker 1: I would agree based on I'll be a limited amount 318 00:17:25,640 --> 00:17:29,680 Speaker 1: of of information that I've I've read and viewed about Greenland. 319 00:17:29,720 --> 00:17:32,639 Speaker 1: You know, typically in my experience, Greenland shows up in 320 00:17:32,920 --> 00:17:36,080 Speaker 1: nature documentaries and of course you're going to see rather 321 00:17:36,160 --> 00:17:40,399 Speaker 1: barren h locations in those films. Well, greenlanders out there 322 00:17:40,400 --> 00:17:42,840 Speaker 1: in the audience. Let us know, if you're listening, what's 323 00:17:42,920 --> 00:17:46,720 Speaker 1: life like up there in Greenland? I'm interested now. But 324 00:17:46,800 --> 00:17:49,840 Speaker 1: anyway back, so, yeah, population of Greenland at the times 325 00:17:49,880 --> 00:17:53,399 Speaker 1: about fifty and so statements like this both refer to 326 00:17:53,480 --> 00:17:56,119 Speaker 1: something that could be true or false in the real world, 327 00:17:56,480 --> 00:17:59,280 Speaker 1: and there are also things that people are probably uncertain about, 328 00:17:59,359 --> 00:18:02,200 Speaker 1: like do you know what the actual population of Greenland 329 00:18:02,320 --> 00:18:04,639 Speaker 1: is I didn't know before I looked it up, And 330 00:18:04,680 --> 00:18:07,040 Speaker 1: so we know that the statement is either true or false, 331 00:18:07,119 --> 00:18:10,000 Speaker 1: but we aren't sure whether it's true or false. And 332 00:18:10,040 --> 00:18:12,800 Speaker 1: of course, to go back to a previous episode, you're 333 00:18:12,840 --> 00:18:16,879 Speaker 1: kind of anchoring my expectations by throwing out without any 334 00:18:17,040 --> 00:18:20,200 Speaker 1: population data in my head about Greenland, like that's suddenly 335 00:18:20,240 --> 00:18:22,960 Speaker 1: all I have to go on. Oh yeah, that's interesting. Also, 336 00:18:23,080 --> 00:18:25,359 Speaker 1: it's so like it could be three thousand or it 337 00:18:25,400 --> 00:18:29,040 Speaker 1: could be like a million, and either you're sort of 338 00:18:29,119 --> 00:18:33,479 Speaker 1: moving your guests range toward fifty. So the thing they 339 00:18:33,520 --> 00:18:35,520 Speaker 1: point out is even though most people don't know what 340 00:18:35,600 --> 00:18:38,399 Speaker 1: the population of Greenland is, we're often willing, into some 341 00:18:38,480 --> 00:18:41,280 Speaker 1: extent able to make guesses as to whether statements like 342 00:18:41,359 --> 00:18:45,560 Speaker 1: this are true. So where does this semantic knowledge come from? 343 00:18:45,640 --> 00:18:48,320 Speaker 1: When we feel like we have knowledge to offer a 344 00:18:48,359 --> 00:18:51,120 Speaker 1: guess about what the population of Greenland is even when 345 00:18:51,160 --> 00:18:54,959 Speaker 1: we don't really know what is that what allows us 346 00:18:55,000 --> 00:19:00,400 Speaker 1: to judge these questions? And the authors note that frequency 347 00:19:00,640 --> 00:19:03,560 Speaker 1: is a really powerful variable in all kinds of judgments 348 00:19:03,560 --> 00:19:07,000 Speaker 1: we make about the world, so they hypothesize that quote 349 00:19:07,000 --> 00:19:11,639 Speaker 1: frequency might also serve as the major access route that 350 00:19:11,760 --> 00:19:16,280 Speaker 1: plausible statements have into our pool of general knowledge. So 351 00:19:16,320 --> 00:19:20,479 Speaker 1: the idea is that we build our knowledge base based 352 00:19:20,520 --> 00:19:23,880 Speaker 1: on how frequently we are exposed to ideas. You hear 353 00:19:23,880 --> 00:19:26,480 Speaker 1: an idea a lot, and that gets reinforced in the 354 00:19:26,520 --> 00:19:29,080 Speaker 1: knowledge base. You've never heard an idea before, or you 355 00:19:29,119 --> 00:19:31,399 Speaker 1: don't hear it a lot, it doesn't get reinforced and 356 00:19:31,440 --> 00:19:34,159 Speaker 1: it doesn't exist in the knowledge base. So here's the 357 00:19:34,160 --> 00:19:36,960 Speaker 1: experimental part. Researchers came up with a list of a 358 00:19:37,000 --> 00:19:40,560 Speaker 1: hundred and forty true statements and false statements, crafted so 359 00:19:40,680 --> 00:19:43,320 Speaker 1: they all sound plausible. Yeah, they could be true. You know, 360 00:19:43,440 --> 00:19:46,800 Speaker 1: the average person would be unsure whether or not they're true, 361 00:19:47,160 --> 00:19:50,000 Speaker 1: and the statements were on all kinds of subjects like geography, 362 00:19:50,200 --> 00:19:54,920 Speaker 1: arts and literature, history, sports, current events science. A few 363 00:19:54,920 --> 00:19:59,320 Speaker 1: examples of true statements included things like Cairo, Egypt has 364 00:19:59,359 --> 00:20:04,040 Speaker 1: a larger population than Chicago, Illinois, and French horn players 365 00:20:04,080 --> 00:20:08,560 Speaker 1: get cash bonuses to stay in the U. S. Army. Well, 366 00:20:08,600 --> 00:20:10,800 Speaker 1: i'd see it. I should have joined the army after 367 00:20:10,880 --> 00:20:13,119 Speaker 1: I'll see I was a french horn player really in 368 00:20:13,200 --> 00:20:15,600 Speaker 1: high school. Yeah, I didn't know that. What's it like 369 00:20:15,640 --> 00:20:18,240 Speaker 1: playing the French horn? It's just you know, there's a 370 00:20:18,280 --> 00:20:20,240 Speaker 1: lot of spit and a lot of shoving your hand 371 00:20:20,280 --> 00:20:24,520 Speaker 1: up horns. That's it. Otherwise it's like playing a trumpet. 372 00:20:24,560 --> 00:20:27,000 Speaker 1: Now see I actually played trumpet, and it's a lot 373 00:20:27,080 --> 00:20:29,840 Speaker 1: less fun than what you're describing. Yeah, I mean, I 374 00:20:29,880 --> 00:20:31,439 Speaker 1: don't know. There is an elegance to the way you 375 00:20:31,480 --> 00:20:34,000 Speaker 1: hold it and you again, you have your hand in 376 00:20:34,080 --> 00:20:37,640 Speaker 1: the inside the horn. I don't know. Being a trumpet 377 00:20:37,680 --> 00:20:40,200 Speaker 1: player to me always felt like being a person who's 378 00:20:40,280 --> 00:20:44,560 Speaker 1: complaining at full volume. Yeah, yeah, there is. There's more 379 00:20:44,600 --> 00:20:47,719 Speaker 1: of an outward stance with the trumpet, right, you are 380 00:20:47,720 --> 00:20:50,440 Speaker 1: blasting outward, But in the French horn, you it's it's 381 00:20:50,480 --> 00:20:54,960 Speaker 1: more like you're playing music into yourself. That's quite beautiful, 382 00:20:56,000 --> 00:20:57,879 Speaker 1: more beautiful than any music I've ever played on the 383 00:20:57,880 --> 00:21:01,000 Speaker 1: French horn. Uh so we got to get back to 384 00:21:01,040 --> 00:21:03,840 Speaker 1: the study. Okay, So that's that's supposedly true. French horn 385 00:21:03,880 --> 00:21:05,920 Speaker 1: players at the time got cash bonuses to stay in 386 00:21:05,920 --> 00:21:08,520 Speaker 1: the U. S. Army. Examples of false statements where things 387 00:21:08,560 --> 00:21:11,280 Speaker 1: like the People's Republic of China was founded in nineteen 388 00:21:11,320 --> 00:21:14,600 Speaker 1: forty seven, who was actually nineteen forty nine, or the 389 00:21:14,640 --> 00:21:18,280 Speaker 1: copy Bara is the largest of the marsupials. That's not true. 390 00:21:18,320 --> 00:21:21,680 Speaker 1: The largest marcipial is the red kangaroo. The largest known 391 00:21:21,680 --> 00:21:24,119 Speaker 1: in the fossil record is this thing called the extinct 392 00:21:24,560 --> 00:21:28,560 Speaker 1: dip protodon. Now that in the capy bar is a rodent, right, 393 00:21:29,080 --> 00:21:31,440 Speaker 1: only is the capy bar and marsupial. I didn't even 394 00:21:31,440 --> 00:21:33,200 Speaker 1: look it up. I only know that because I go 395 00:21:33,280 --> 00:21:35,800 Speaker 1: to a lot of zoos these days. But it is 396 00:21:35,800 --> 00:21:37,680 Speaker 1: a mammal, it's a it's a rodent. It is a mammal, 397 00:21:37,720 --> 00:21:40,119 Speaker 1: and it is a rodent, not a marsupial. Well, there 398 00:21:40,160 --> 00:21:42,560 Speaker 1: we go. So it's wrong in multiple ways. So you 399 00:21:42,680 --> 00:21:44,879 Speaker 1: got this big list that came up with of true 400 00:21:44,920 --> 00:21:47,880 Speaker 1: and false statements, and all of them should sound plausible 401 00:21:47,920 --> 00:21:49,960 Speaker 1: to the average person, But most people are not going 402 00:21:50,040 --> 00:21:52,040 Speaker 1: to be likely to know for sure whether they're true 403 00:21:52,080 --> 00:21:54,919 Speaker 1: unless they just happen to have some special random knowledge 404 00:21:54,960 --> 00:21:59,720 Speaker 1: or expertise. And so researchers held three sessions with participants, 405 00:21:59,720 --> 00:22:03,440 Speaker 1: each separated by two weeks, and on each of the sessions, 406 00:22:03,520 --> 00:22:07,000 Speaker 1: the participants were played back a tape of a selection 407 00:22:07,080 --> 00:22:11,480 Speaker 1: of sixty recorded statements from that list, and the subjects 408 00:22:11,520 --> 00:22:14,600 Speaker 1: were asked to judge how confident they were that the 409 00:22:14,640 --> 00:22:16,679 Speaker 1: statements were true. And this was on a scale of 410 00:22:16,680 --> 00:22:20,080 Speaker 1: one to seven, with like four being uncertain, five being 411 00:22:20,119 --> 00:22:24,160 Speaker 1: possibly true, six being probably true, seven being definitely true. 412 00:22:24,560 --> 00:22:27,320 Speaker 1: And in each session, some of the statements were true, 413 00:22:27,359 --> 00:22:30,040 Speaker 1: some were false. But here's where the real magic happened. 414 00:22:30,240 --> 00:22:33,720 Speaker 1: At the second session and the third session. Each time, 415 00:22:34,200 --> 00:22:38,120 Speaker 1: subjects got a mix of new true and false statements 416 00:22:38,119 --> 00:22:41,480 Speaker 1: that they've never seen before, plus true and false statements 417 00:22:41,520 --> 00:22:44,840 Speaker 1: that they had already seen in the previous sessions. So 418 00:22:44,880 --> 00:22:46,760 Speaker 1: while most of the claims they saw were new, a 419 00:22:46,880 --> 00:22:50,959 Speaker 1: minority got repeated each time. And what the researchers found 420 00:22:51,119 --> 00:22:55,119 Speaker 1: was that whether a statement was true or false, the 421 00:22:55,280 --> 00:22:59,199 Speaker 1: more times the students saw it, the more they believed it. 422 00:23:00,200 --> 00:23:02,800 Speaker 1: So again, this would be this, this, this would be 423 00:23:02,840 --> 00:23:05,600 Speaker 1: the principle in action. The more they're hearing this, uh, 424 00:23:05,680 --> 00:23:09,280 Speaker 1: this this false fact, the more they're coming to believe 425 00:23:09,320 --> 00:23:12,000 Speaker 1: that it is true. Yeah, even in this constrained, kind 426 00:23:12,000 --> 00:23:15,359 Speaker 1: of weird experimental context where they're aware that some of 427 00:23:15,400 --> 00:23:17,320 Speaker 1: these facts are going to be false, it's not like 428 00:23:17,600 --> 00:23:20,639 Speaker 1: they're being told this persuasively by a person trying to 429 00:23:20,680 --> 00:23:24,080 Speaker 1: convince them. They're just reading this from a list of 430 00:23:24,160 --> 00:23:27,040 Speaker 1: statements that are known to be either true or false. 431 00:23:27,080 --> 00:23:31,439 Speaker 1: I mean, there's no there's no persuasive aspect to this 432 00:23:31,520 --> 00:23:34,359 Speaker 1: at all, right, right, these are not politically charged or 433 00:23:34,400 --> 00:23:37,399 Speaker 1: really charged by worldview at all. They're they're just plain 434 00:23:37,600 --> 00:23:41,440 Speaker 1: neutral statements that really have very little interest to most people. 435 00:23:41,520 --> 00:23:45,399 Speaker 1: Also probably, but what happened was whether the statement was 436 00:23:45,440 --> 00:23:48,920 Speaker 1: true or false, people believed it more if they saw 437 00:23:48,960 --> 00:23:52,199 Speaker 1: it more times. So I've got a little chart in 438 00:23:52,240 --> 00:23:54,400 Speaker 1: here of what happened with the false statements. You can 439 00:23:54,400 --> 00:23:56,480 Speaker 1: have a look at Robert as you can see the 440 00:23:56,640 --> 00:24:00,320 Speaker 1: new false statements. The false statements people saw the very 441 00:24:00,320 --> 00:24:03,280 Speaker 1: first time covered around you know, like four or four 442 00:24:03,320 --> 00:24:06,119 Speaker 1: point one across all three sessions. That would correspond to 443 00:24:06,160 --> 00:24:08,199 Speaker 1: people saying they're uncertain. I don't know. I don't know 444 00:24:08,240 --> 00:24:10,520 Speaker 1: whether French horn players get a cash bonus for staying 445 00:24:10,520 --> 00:24:13,080 Speaker 1: in the army and playing into the self and sticking 446 00:24:13,080 --> 00:24:16,400 Speaker 1: the hand up the horn. But in the second session 447 00:24:16,440 --> 00:24:20,480 Speaker 1: there repeated false statements jumped up from about four point 448 00:24:20,520 --> 00:24:23,439 Speaker 1: over four point one to about four point five, and 449 00:24:23,480 --> 00:24:26,320 Speaker 1: then in the third session up again to about four 450 00:24:26,400 --> 00:24:29,239 Speaker 1: point seven. And we only saw what happened with two 451 00:24:29,280 --> 00:24:31,800 Speaker 1: sessions who knows what have happened, what might have happened 452 00:24:31,840 --> 00:24:36,120 Speaker 1: if you had continued adding more sessions. So just seeing 453 00:24:36,160 --> 00:24:38,840 Speaker 1: a statement more than once appeared to make it more believable, 454 00:24:38,960 --> 00:24:41,800 Speaker 1: even though it wasn't true. And the pattern was roughly 455 00:24:41,840 --> 00:24:44,400 Speaker 1: the same for true statements, which isn't all that surprising 456 00:24:44,440 --> 00:24:47,080 Speaker 1: since the experiment was based on, you know, statements that 457 00:24:47,119 --> 00:24:48,879 Speaker 1: people didn't know whether they were true or false to 458 00:24:48,920 --> 00:24:52,280 Speaker 1: begin with. So the authors wrote in conclusion, quote, the 459 00:24:52,359 --> 00:24:55,879 Speaker 1: present research has demonstrated that the repetition of a plausible 460 00:24:55,920 --> 00:25:01,240 Speaker 1: statement increases a person's belief in the referentialvalidity or truth 461 00:25:01,480 --> 00:25:03,359 Speaker 1: of that statement. I don't know why they had to 462 00:25:03,400 --> 00:25:06,840 Speaker 1: say referential validity. They could have just said truth. That's 463 00:25:06,920 --> 00:25:09,639 Speaker 1: that's some science writing for you. Uh, in the truth 464 00:25:09,720 --> 00:25:13,560 Speaker 1: of that statement. And indeed, the present experiment appears to 465 00:25:13,680 --> 00:25:16,919 Speaker 1: lend empirical support to the idea that quote, if people 466 00:25:17,000 --> 00:25:22,040 Speaker 1: are told something often enough, they'll believe it. Uh So so, yeah, 467 00:25:22,080 --> 00:25:23,960 Speaker 1: this is this is the first real study to find 468 00:25:24,000 --> 00:25:25,880 Speaker 1: this and a few other things the authors thought were 469 00:25:25,880 --> 00:25:29,280 Speaker 1: worth considering. Uh. The fact that this effect was displayed 470 00:25:29,280 --> 00:25:32,200 Speaker 1: in statements from a big, broad pool of different types 471 00:25:32,240 --> 00:25:36,320 Speaker 1: of subject matter suggests this is not extremely context dependent. Right, 472 00:25:36,359 --> 00:25:38,399 Speaker 1: It's not just going to be political beliefs that are 473 00:25:38,440 --> 00:25:41,399 Speaker 1: subject to this. It seems to be all different kinds 474 00:25:41,440 --> 00:25:44,800 Speaker 1: of statements in all different kinds of domains. Another thing 475 00:25:44,880 --> 00:25:47,480 Speaker 1: they noted was that the effect was present for true 476 00:25:47,480 --> 00:25:50,960 Speaker 1: statements and false statements. Either way, if students saw the 477 00:25:51,000 --> 00:25:55,040 Speaker 1: claims more often, they believed them with greater confidence. But 478 00:25:55,160 --> 00:25:58,919 Speaker 1: another takeaway is that the effect is not huge for 479 00:25:58,960 --> 00:26:02,160 Speaker 1: false statements. Through exposures was roughly enough to get you 480 00:26:02,240 --> 00:26:06,040 Speaker 1: from I'm uncertain too. It's possibly true, but as we 481 00:26:06,080 --> 00:26:08,800 Speaker 1: mentioned before, how many this is just two or three 482 00:26:08,800 --> 00:26:11,679 Speaker 1: sessions right right? Right? Who knows what what would have 483 00:26:11,720 --> 00:26:14,840 Speaker 1: happened if maybe you had done this more times in 484 00:26:14,880 --> 00:26:18,359 Speaker 1: a row, or if there had been other factors affecting 485 00:26:18,359 --> 00:26:20,840 Speaker 1: whether people were likely to believe these things to begin with, 486 00:26:20,960 --> 00:26:25,040 Speaker 1: say if they had valences to the person's political identity 487 00:26:25,200 --> 00:26:28,600 Speaker 1: or something like that. Yeah, you know, as we're researching 488 00:26:28,640 --> 00:26:30,520 Speaker 1: this into and discussing it, I couldn't help but think 489 00:26:30,680 --> 00:26:37,240 Speaker 1: of notable examples of uh false stories about generally like 490 00:26:37,240 --> 00:26:39,440 Speaker 1: like celebrities from the past, And I'm not going to 491 00:26:39,520 --> 00:26:42,600 Speaker 1: mention any of them specifically, Why not well, because you know, 492 00:26:42,600 --> 00:26:45,000 Speaker 1: they all tend to be a bit crude. There. There 493 00:26:45,040 --> 00:26:48,560 Speaker 1: are several of them about like tearing down various sort 494 00:26:48,600 --> 00:26:52,639 Speaker 1: of you know, pretty boy rockers or actors from the past, 495 00:26:53,440 --> 00:26:55,679 Speaker 1: uh in in the in. The interesting thing about him 496 00:26:55,680 --> 00:26:59,639 Speaker 1: is these are generally like pre internet um stories that 497 00:26:59,760 --> 00:27:02,399 Speaker 1: had circulate the word of mouth or I think in 498 00:27:02,480 --> 00:27:04,440 Speaker 1: one case there was talk of like a whole bunch 499 00:27:04,440 --> 00:27:07,960 Speaker 1: of of facts is going out in Hollywood where someone 500 00:27:08,080 --> 00:27:10,320 Speaker 1: was just basically just wanted to take somebody down because 501 00:27:10,359 --> 00:27:12,800 Speaker 1: they didn't like them. I remember, I think like ninth 502 00:27:12,880 --> 00:27:15,960 Speaker 1: grade here starting to hear this bizarre story about Richard 503 00:27:16,000 --> 00:27:18,359 Speaker 1: gear Yeah, that's that's the main one I'm thinking of. 504 00:27:18,560 --> 00:27:21,720 Speaker 1: And I think it basically comes down to Richard Geary's 505 00:27:21,720 --> 00:27:24,840 Speaker 1: a is a handsome, successful guy and and for a 506 00:27:24,880 --> 00:27:26,920 Speaker 1: lot of people you want to like, really, you know, 507 00:27:27,840 --> 00:27:31,760 Speaker 1: knock him down and not you Yeah, and uh and 508 00:27:31,840 --> 00:27:36,280 Speaker 1: so when you encounter a bit of slander or libel 509 00:27:36,400 --> 00:27:40,080 Speaker 1: like that or uh, just a ridiculous story, you're gonna 510 00:27:40,119 --> 00:27:42,520 Speaker 1: be more inclined to believe it if you kind of 511 00:27:42,560 --> 00:27:44,520 Speaker 1: want it to be true, right or if you or 512 00:27:45,040 --> 00:27:47,320 Speaker 1: you're like, yeah, let screw that guy. I'm gonna I'm 513 00:27:47,320 --> 00:27:48,680 Speaker 1: gonna go ahead and believe this, or even if I 514 00:27:48,680 --> 00:27:50,919 Speaker 1: don't believe it, I'm gonna pass it on. But either way, 515 00:27:51,000 --> 00:27:53,679 Speaker 1: whether or not you're predisposed to believe it's true, it 516 00:27:53,720 --> 00:27:56,520 Speaker 1: looks like this initial study at least provides evidence that 517 00:27:56,640 --> 00:28:00,239 Speaker 1: you would be more disposed to believe it's true in 518 00:28:00,280 --> 00:28:03,880 Speaker 1: either case. Like, so, whatever you're starting point is, it's 519 00:28:03,880 --> 00:28:06,919 Speaker 1: gonna nudge you up. Like if nothing else, it becomes 520 00:28:06,960 --> 00:28:10,120 Speaker 1: word association. Like if you're not really a fan of say, 521 00:28:10,240 --> 00:28:13,880 Speaker 1: Richard Gear's work, uh, and you can't name your your 522 00:28:13,920 --> 00:28:16,160 Speaker 1: favorite Richard Gear film off the top of your head, 523 00:28:16,359 --> 00:28:19,520 Speaker 1: that might be the primary keyword that pops up when 524 00:28:19,520 --> 00:28:22,920 Speaker 1: you hear his name. Yeah, it could be. Uh. Yeah. 525 00:28:22,960 --> 00:28:26,240 Speaker 1: So so this bizarre effect that we're talking about, where 526 00:28:26,720 --> 00:28:29,400 Speaker 1: hearing a fact repeated, even if you've got no good 527 00:28:29,400 --> 00:28:33,640 Speaker 1: reason to believe it's true, just hearing it repeated causes 528 00:28:33,680 --> 00:28:35,560 Speaker 1: you to be more likely to believe it. This came 529 00:28:35,600 --> 00:28:38,200 Speaker 1: to be known first as the truth effect, and then 530 00:28:38,680 --> 00:28:42,200 Speaker 1: later on probably a better title was the illusory truth effect. 531 00:28:42,280 --> 00:28:44,440 Speaker 1: I think we should use the second one because otherwise 532 00:28:44,480 --> 00:28:47,120 Speaker 1: that makes it sound true. Yeah, it just makes it 533 00:28:47,120 --> 00:28:48,840 Speaker 1: sound like, yeah, if you if you repeat something, then 534 00:28:48,960 --> 00:28:51,520 Speaker 1: it is then it is true. There is no question anymore. So. 535 00:28:51,560 --> 00:28:54,280 Speaker 1: The basic version of the illusory truth effect is quote. 536 00:28:54,480 --> 00:28:58,040 Speaker 1: People are more likely to judge repeated statements as true 537 00:28:58,320 --> 00:29:01,280 Speaker 1: compared to new statements. In another way of putting it 538 00:29:01,320 --> 00:29:04,160 Speaker 1: is that, all other things being equal, you're more likely 539 00:29:04,240 --> 00:29:06,920 Speaker 1: to believe a claim if you've heard it before than 540 00:29:06,960 --> 00:29:09,840 Speaker 1: one you haven't heard before. And the more times you 541 00:29:09,880 --> 00:29:12,479 Speaker 1: hear the claim, the more likely you are to believe it. 542 00:29:13,440 --> 00:29:15,640 Speaker 1: But so far we've just talked about one study, right, 543 00:29:15,680 --> 00:29:19,280 Speaker 1: this this one seven study. Uh, we can call it 544 00:29:19,320 --> 00:29:21,640 Speaker 1: the Star Wars study if you want. Okay, uh, the 545 00:29:21,640 --> 00:29:24,800 Speaker 1: Star Wars study. Here. It's a fairly small sample, just 546 00:29:24,920 --> 00:29:27,000 Speaker 1: one study. If you want to be skeptical and rigorous, 547 00:29:27,000 --> 00:29:29,600 Speaker 1: maybe especially because this backs up ful quisdom, which is 548 00:29:29,600 --> 00:29:31,960 Speaker 1: always something you should be careful about. We should see 549 00:29:31,960 --> 00:29:35,960 Speaker 1: if the effect has been replicated by other researchers, and boy, 550 00:29:36,040 --> 00:29:39,000 Speaker 1: howdy it has. That's right. This next one comes to 551 00:29:39,080 --> 00:29:42,880 Speaker 1: us from nineteen seventy nine Journal of Experimental Psychology, Human 552 00:29:42,960 --> 00:29:46,640 Speaker 1: Learning and Memory, the work of Frederick T. Bacon. Yeah, 553 00:29:46,640 --> 00:29:50,600 Speaker 1: this was called the Credibility of Repeated statements memory for trivia, 554 00:29:51,280 --> 00:29:54,920 Speaker 1: so Bacon performed he was trying to replicate this this effect. 555 00:29:54,960 --> 00:29:58,760 Speaker 1: He performed additional experiments to test the previous team's conclusions 556 00:29:59,080 --> 00:30:01,600 Speaker 1: and add some new on So his first experiment, you 557 00:30:01,680 --> 00:30:04,720 Speaker 1: got ninety eight undergrads and they had two sessions in 558 00:30:04,760 --> 00:30:07,520 Speaker 1: which they were asked to rate sentences as true or false, 559 00:30:07,680 --> 00:30:11,040 Speaker 1: with three weeks between the two sessions, and Bacon found 560 00:30:11,080 --> 00:30:15,160 Speaker 1: that the repetition illusory truth effect was modulated by whether 561 00:30:15,320 --> 00:30:19,880 Speaker 1: the subjects consciously believed that a sentence had been repeated. 562 00:30:19,920 --> 00:30:22,560 Speaker 1: That is, if they remembered that they had seen the 563 00:30:22,600 --> 00:30:25,720 Speaker 1: sentence last time, they were more inclined to believe it. 564 00:30:26,040 --> 00:30:28,160 Speaker 1: If they believed they were seeing a sentence for the 565 00:30:28,240 --> 00:30:31,080 Speaker 1: first time, they were less likely to believe it. And 566 00:30:31,120 --> 00:30:35,080 Speaker 1: this was true regardless of the statements themselves. I can't 567 00:30:35,080 --> 00:30:37,440 Speaker 1: help but think of our modern version of this with 568 00:30:37,760 --> 00:30:41,560 Speaker 1: Facebook feed right, because you're inevitably, if you're your Facebook user, 569 00:30:42,080 --> 00:30:44,040 Speaker 1: or perhaps if you're a Twitter user or some other 570 00:30:44,120 --> 00:30:46,920 Speaker 1: social media you're you're scrolling down right and there are 571 00:30:46,960 --> 00:30:49,280 Speaker 1: a lot of sentences coming at you. Some you just 572 00:30:49,360 --> 00:30:51,240 Speaker 1: kind of read in passing, so maybe you don't read 573 00:30:51,280 --> 00:30:54,920 Speaker 1: at all. But are you actually stopping to really think 574 00:30:54,960 --> 00:30:58,800 Speaker 1: about what a particular headline or you know, or paragraph 575 00:30:58,920 --> 00:31:01,400 Speaker 1: is saying, or to just kind of scrolling in the 576 00:31:01,400 --> 00:31:03,880 Speaker 1: background of your mind. Yeah, And the results of this 577 00:31:03,920 --> 00:31:07,560 Speaker 1: one experiment here would seem to indicate if it has validity, 578 00:31:07,600 --> 00:31:09,360 Speaker 1: it would mean that the ones you stop and pay 579 00:31:09,400 --> 00:31:12,240 Speaker 1: attention to and make a memory about are the ones 580 00:31:12,240 --> 00:31:15,800 Speaker 1: you're more likely to believe later on. But then also 581 00:31:16,520 --> 00:31:18,760 Speaker 1: in another experiment, he had a group of sixty four 582 00:31:18,840 --> 00:31:22,400 Speaker 1: undergrads and he replicated the illusory truth effect and found 583 00:31:22,400 --> 00:31:25,720 Speaker 1: that students believed repeated statements to be more credible even 584 00:31:25,800 --> 00:31:29,040 Speaker 1: if the students were informed that the statements were being repeated. 585 00:31:29,360 --> 00:31:32,320 Speaker 1: So you can directly tell somebody, Hey, I know, I 586 00:31:32,400 --> 00:31:34,959 Speaker 1: just asked you if it was true or false that 587 00:31:35,080 --> 00:31:38,120 Speaker 1: zebras could automatically detach their own tongues and fling the 588 00:31:38,160 --> 00:31:41,560 Speaker 1: tongues at attacking hyenas. I asked you that same thing 589 00:31:41,640 --> 00:31:43,920 Speaker 1: three weeks ago. It may or may not be true. 590 00:31:44,800 --> 00:31:48,200 Speaker 1: And even in this case, repeating the statement still makes 591 00:31:48,200 --> 00:31:50,400 Speaker 1: them judge it to be more true than statements they're 592 00:31:50,400 --> 00:31:52,920 Speaker 1: seeing for the first time. So you can warn people 593 00:31:53,040 --> 00:31:55,440 Speaker 1: that something fishy is going on and they still fall 594 00:31:55,520 --> 00:31:58,800 Speaker 1: for it. So you could you could straight up share 595 00:31:58,840 --> 00:32:03,959 Speaker 1: a piece of just undeniably fake news on social media 596 00:32:04,200 --> 00:32:06,160 Speaker 1: and and said, hey, guys, this is this is some 597 00:32:06,200 --> 00:32:09,719 Speaker 1: fake news. This has been totally debunked. Um, you can 598 00:32:09,720 --> 00:32:12,920 Speaker 1: look it up on Snopes, etcetera. And that's still not 599 00:32:12,960 --> 00:32:15,600 Speaker 1: going to completely disarm the piece that you're sharing. Well, 600 00:32:15,640 --> 00:32:18,240 Speaker 1: we will talk, so I would say, yes, we will 601 00:32:18,280 --> 00:32:20,760 Speaker 1: talk more about that in the second episode where this 602 00:32:20,840 --> 00:32:23,840 Speaker 1: kind of thing comes into conflict with real world beliefs. 603 00:32:24,480 --> 00:32:26,200 Speaker 1: And just to be clear, I made up that zebra 604 00:32:26,280 --> 00:32:28,560 Speaker 1: thing that that wasn't find of the Bacon study. Okay, 605 00:32:28,600 --> 00:32:31,160 Speaker 1: I thought that would be clear. But that's number one, 606 00:32:31,240 --> 00:32:33,280 Speaker 1: not true. Number two as far as I know, not 607 00:32:33,320 --> 00:32:35,600 Speaker 1: one of the examples Bacon used. Right, Well, I'm sorry 608 00:32:35,640 --> 00:32:38,000 Speaker 1: you had to drag Zebras into all of this. Joe. Well, 609 00:32:38,040 --> 00:32:40,960 Speaker 1: you know, I like the idea of a weaponized tongue 610 00:32:41,800 --> 00:32:44,560 Speaker 1: that's gonna go beyond the X men. Surely that exists 611 00:32:44,560 --> 00:32:47,880 Speaker 1: in reality. Well yes, but but not with Zebras. No. No, 612 00:32:48,000 --> 00:32:51,320 Speaker 1: I guess that's amphibians and stuff. Okay, okay, So back 613 00:32:51,320 --> 00:32:54,240 Speaker 1: to the study, So Bacon says in his abstract quote. 614 00:32:54,440 --> 00:32:58,520 Speaker 1: It was further determined that statements that contradicted early ones 615 00:32:59,000 --> 00:33:04,480 Speaker 1: were rated as relatively true if misclassified as repetitions, but 616 00:33:04,560 --> 00:33:08,800 Speaker 1: that statements judged to be changed were rated as relatively false. 617 00:33:09,080 --> 00:33:12,200 Speaker 1: So even if you misremember that you saw something before, 618 00:33:12,360 --> 00:33:15,440 Speaker 1: you're more likely to believe it's true. It's kind of odd. 619 00:33:15,800 --> 00:33:19,800 Speaker 1: That makes you wonder, what is the initial uh, what's 620 00:33:19,840 --> 00:33:22,880 Speaker 1: the initial stimulus that caused you to misremember that you 621 00:33:22,920 --> 00:33:25,560 Speaker 1: had seen it before. Well, as we've discussed on the 622 00:33:25,560 --> 00:33:28,400 Speaker 1: show before, I mean, there are multiple ways that false 623 00:33:28,440 --> 00:33:32,200 Speaker 1: memories can be can be encoded. Oh yeah, absolutely. So 624 00:33:32,280 --> 00:33:36,400 Speaker 1: Bacon concludes that basically, people are predisposed to believe statements 625 00:33:36,400 --> 00:33:40,320 Speaker 1: that affirm existing knowledge and to disbelieve statements that contradict 626 00:33:40,360 --> 00:33:44,000 Speaker 1: existing knowledge. That's not all that unusual, right, But but 627 00:33:44,080 --> 00:33:47,280 Speaker 1: it's specifically the repetition effect that seems to be playing 628 00:33:47,320 --> 00:33:50,000 Speaker 1: a role here. Let's take a look at another study. 629 00:33:50,040 --> 00:33:54,720 Speaker 1: How about nine two Maryan Schwartz Repetition and Rated truth 630 00:33:54,840 --> 00:33:58,480 Speaker 1: Value of Statements from the American Journal of Psychology. So 631 00:33:58,800 --> 00:34:02,800 Speaker 1: Schwartz here conducted two experiments on what psychologists were by 632 00:34:02,840 --> 00:34:05,200 Speaker 1: this time calling the truth effect, what we're calling the 633 00:34:05,240 --> 00:34:09,200 Speaker 1: illusory truth effect UM. So experiment one, you get a 634 00:34:09,200 --> 00:34:11,480 Speaker 1: group of subjects and they rate claims on a seven 635 00:34:11,520 --> 00:34:13,840 Speaker 1: point truth value scale. Just like in the first study, 636 00:34:13,880 --> 00:34:17,080 Speaker 1: the Star Wars study, the seventy seven study, UM and 637 00:34:17,200 --> 00:34:20,160 Speaker 1: a different group of subjects rated the same statements on 638 00:34:20,200 --> 00:34:23,239 Speaker 1: a seven point scale of how familiar they were with 639 00:34:23,320 --> 00:34:27,120 Speaker 1: the statements before the experiment started. How familiar are you 640 00:34:27,160 --> 00:34:32,080 Speaker 1: with this? Repetition increased both ratings, So both pre experimental 641 00:34:32,080 --> 00:34:35,839 Speaker 1: familiarity as well as the perceived truth value, they both 642 00:34:35,880 --> 00:34:38,840 Speaker 1: went up when people saw them more than once. That's 643 00:34:39,000 --> 00:34:42,959 Speaker 1: not surprising. Again the replication and then also the fact 644 00:34:43,040 --> 00:34:45,080 Speaker 1: that you have seen something before, we'll tend to make 645 00:34:45,080 --> 00:34:48,319 Speaker 1: you more familiar with it. Then you've got another experiment here. 646 00:34:48,600 --> 00:34:52,239 Speaker 1: Second one replicated the illusory truth effect. Again found that 647 00:34:52,280 --> 00:34:55,560 Speaker 1: it didn't matter whether you mixed up repeated statements that 648 00:34:55,600 --> 00:34:58,960 Speaker 1: people had seen before with new statements or only showed 649 00:34:59,000 --> 00:35:03,759 Speaker 1: them repeated statement. Either way, belief and repeated statements went up. 650 00:35:03,800 --> 00:35:05,600 Speaker 1: And this was done so that they could rule out 651 00:35:05,600 --> 00:35:07,839 Speaker 1: the possibility they're thinking, you know, maybe it's only by 652 00:35:07,880 --> 00:35:11,399 Speaker 1: contrast with new and unfamiliar statements that repeated ones seem 653 00:35:11,480 --> 00:35:14,279 Speaker 1: more credible. That is not the case either way you 654 00:35:14,360 --> 00:35:16,799 Speaker 1: do it. If you've seen it before, you believe it more. 655 00:35:17,400 --> 00:35:19,839 Speaker 1: And so this study has taken as evidence that the 656 00:35:19,920 --> 00:35:23,600 Speaker 1: feeling of familiarity with an idea might be an important part, 657 00:35:23,680 --> 00:35:26,080 Speaker 1: or even the most important part, of how we judge 658 00:35:26,160 --> 00:35:29,480 Speaker 1: something as true or plausible. But we should shift to 659 00:35:29,520 --> 00:35:34,640 Speaker 1: asking the question of why why would increasing familiarity with 660 00:35:34,680 --> 00:35:38,600 Speaker 1: the statement through repetition make it seem more true to us? 661 00:35:39,239 --> 00:35:41,920 Speaker 1: It makes me think about this passage from Wittgenstein in 662 00:35:42,040 --> 00:35:45,440 Speaker 1: his philosophical Investigations, about how absurd it would be to 663 00:35:45,520 --> 00:35:49,520 Speaker 1: use repetition of a mental representation as evidence that the 664 00:35:49,560 --> 00:35:53,680 Speaker 1: representation is correct. He writes, quote for example, I don't 665 00:35:53,760 --> 00:35:56,440 Speaker 1: know if I've remembered the time of departure of a 666 00:35:56,520 --> 00:35:59,480 Speaker 1: train right, And to check it, I call to mind 667 00:35:59,520 --> 00:36:02,680 Speaker 1: how a age of the timetable looked. Is it the 668 00:36:02,719 --> 00:36:06,320 Speaker 1: same here? No, For this process has got to produce 669 00:36:06,320 --> 00:36:09,800 Speaker 1: a memory which is actually correct. If the mental image 670 00:36:09,800 --> 00:36:13,600 Speaker 1: of the timetable could not itself be tested for correctness, 671 00:36:13,640 --> 00:36:16,560 Speaker 1: how could it confirm the correctness of the first memory. 672 00:36:17,120 --> 00:36:20,000 Speaker 1: As if someone were to buy several copies of the 673 00:36:20,040 --> 00:36:23,480 Speaker 1: morning paper to assure himself that what it said was true. 674 00:36:24,000 --> 00:36:25,960 Speaker 1: And that's that's kind of what we're doing. Like he's 675 00:36:25,960 --> 00:36:28,400 Speaker 1: talking about mental images, but the general point is a 676 00:36:28,400 --> 00:36:31,960 Speaker 1: good one. We're essentially buying several copies of the same 677 00:36:32,080 --> 00:36:36,839 Speaker 1: newspaper to to increase our belief that what the newspaper 678 00:36:36,920 --> 00:36:42,239 Speaker 1: says is actually accurate. Now, one it possible interpretation that 679 00:36:42,280 --> 00:36:44,920 Speaker 1: comes to mind is just like the idea of say, 680 00:36:45,520 --> 00:36:49,560 Speaker 1: walking us picking out stepping stones to cross a creek. Right, 681 00:36:50,120 --> 00:36:52,440 Speaker 1: you step to one stone and it doesn't slip out 682 00:36:52,440 --> 00:36:54,680 Speaker 1: from underneath you, and so you use that too to 683 00:36:55,600 --> 00:36:57,799 Speaker 1: make your way across the other stones and hopefully make 684 00:36:57,840 --> 00:37:00,640 Speaker 1: it across the entire creek without getting your feet wet 685 00:37:00,719 --> 00:37:03,840 Speaker 1: or falling in being swept down stream to the to 686 00:37:03,880 --> 00:37:07,880 Speaker 1: the waterfall. So to what extent are we just like 687 00:37:08,000 --> 00:37:12,600 Speaker 1: trusting anything that hasn't resulted in catastrophe thus fire? Well, 688 00:37:12,719 --> 00:37:15,200 Speaker 1: I would say that it would make more sense for 689 00:37:15,239 --> 00:37:20,000 Speaker 1: that to be true with sort of embodied physical experimental 690 00:37:20,040 --> 00:37:22,480 Speaker 1: knowledge about the world than it would for that to 691 00:37:22,520 --> 00:37:25,239 Speaker 1: make sense for that to apply to semantic knowledge of 692 00:37:25,360 --> 00:37:27,920 Speaker 1: things people tell us. Or maybe our brains just aren't 693 00:37:27,920 --> 00:37:32,000 Speaker 1: good at differentiating between semantic knowledge that's imparted through words. 694 00:37:32,080 --> 00:37:35,160 Speaker 1: You know, maybe somebody saying all those stones will hold 695 00:37:35,200 --> 00:37:37,360 Speaker 1: you up is encoded by the brain in sort of 696 00:37:37,360 --> 00:37:41,480 Speaker 1: the same way as testing out one stone at a time. Uh, yeah, 697 00:37:41,560 --> 00:37:44,000 Speaker 1: I don't know. So this is what we should explore 698 00:37:44,040 --> 00:37:46,360 Speaker 1: for the rest of the episode. I think, why should 699 00:37:46,440 --> 00:37:51,279 Speaker 1: repeatedly exposing ourselves to the same information increase our confidence 700 00:37:51,320 --> 00:37:53,800 Speaker 1: in it if we didn't have good reasons to believe 701 00:37:53,800 --> 00:37:56,160 Speaker 1: it the first time. It's clear that this is what's happening, 702 00:37:56,160 --> 00:37:58,680 Speaker 1: But why does it happen this way? All right, we'll 703 00:37:58,719 --> 00:38:00,919 Speaker 1: take one more break and when we im back, well 704 00:38:00,960 --> 00:38:05,560 Speaker 1: we'll jump into this. Thank thank Alright, we're back. So 705 00:38:05,640 --> 00:38:10,080 Speaker 1: we're asking this question of why repeatedly exposing ourselves to 706 00:38:10,120 --> 00:38:14,359 Speaker 1: the same information would increase our confidence if we didn't 707 00:38:14,400 --> 00:38:17,160 Speaker 1: have good reasons to believe the information the first time. 708 00:38:17,480 --> 00:38:20,320 Speaker 1: It's clear from several experiments that this is what happens 709 00:38:20,320 --> 00:38:23,120 Speaker 1: in our brains if if a statement is repeated, we 710 00:38:23,200 --> 00:38:26,239 Speaker 1: believe it more. But why do our brains work that way? 711 00:38:26,280 --> 00:38:30,839 Speaker 1: It doesn't necessarily make sense. Yeah, And one possible interpretation 712 00:38:30,880 --> 00:38:32,719 Speaker 1: that came to mind is, of course, we we've touched 713 00:38:32,719 --> 00:38:35,919 Speaker 1: on this before that that we're all social animals. Yeah, 714 00:38:36,520 --> 00:38:39,120 Speaker 1: so I've I've wondered if there this is a byproduct 715 00:38:39,160 --> 00:38:41,120 Speaker 1: of the drive to fit in with a given group 716 00:38:41,200 --> 00:38:45,040 Speaker 1: or tribe, that there's ultimately a survival advantage and getting 717 00:38:45,040 --> 00:38:47,799 Speaker 1: along with the group, and so does that bleed over 718 00:38:47,840 --> 00:38:51,480 Speaker 1: into highly repeated or highly circulated lies or untruths. So 719 00:38:51,560 --> 00:38:54,640 Speaker 1: basically like, if there is a lie going around in 720 00:38:54,760 --> 00:38:57,200 Speaker 1: the group, you'll get along with the group better if 721 00:38:57,239 --> 00:39:00,120 Speaker 1: you just accept the lie. Yeah, And I'm not know 722 00:39:00,239 --> 00:39:02,120 Speaker 1: certainly after looking at more of the research, I'm not 723 00:39:02,200 --> 00:39:06,319 Speaker 1: arguing that that is the core um mechanism involved here. 724 00:39:06,440 --> 00:39:08,200 Speaker 1: This is worth exploring that. But but I but I 725 00:39:08,239 --> 00:39:10,759 Speaker 1: do like wonder to what extent that is that's playing 726 00:39:10,760 --> 00:39:12,799 Speaker 1: a role, because you we we all have our our 727 00:39:12,840 --> 00:39:15,360 Speaker 1: groups that we are involved in, our our our friends, 728 00:39:15,360 --> 00:39:18,160 Speaker 1: our family, or our work groups, our social media groups 729 00:39:18,160 --> 00:39:20,800 Speaker 1: are are sort of echo chambers that we find online. 730 00:39:21,520 --> 00:39:24,200 Speaker 1: And uh, does it make you more susceptible to the 731 00:39:24,239 --> 00:39:29,799 Speaker 1: lie just because there is this this ingrained need to 732 00:39:29,960 --> 00:39:33,000 Speaker 1: fit in with that group too, to share the same 733 00:39:33,080 --> 00:39:36,640 Speaker 1: values and to put it all in the prehistoric framework, 734 00:39:36,719 --> 00:39:39,560 Speaker 1: to to continue to have access to the fire and 735 00:39:39,640 --> 00:39:41,879 Speaker 1: the and the feast. Yeah, I think I think that's 736 00:39:41,880 --> 00:39:45,160 Speaker 1: the possibility worth exploring. Let's let's take a look at it. Okay, Well, 737 00:39:45,320 --> 00:39:47,160 Speaker 1: I started looking into this a little bit, and I 738 00:39:47,600 --> 00:39:52,160 Speaker 1: ran across a paper titled the Evolution of Misbelief, Misbelief, 739 00:39:52,239 --> 00:39:55,880 Speaker 1: Misbelief from two thousand nine. This is published in Behavioral 740 00:39:55,880 --> 00:39:58,760 Speaker 1: and Brain Sciences, and it was by Ryan T. McKay 741 00:39:58,920 --> 00:40:01,719 Speaker 1: and Daniel in it. Oh, Daniel's in it all right. 742 00:40:02,280 --> 00:40:06,239 Speaker 1: So they approached the following I guess you could call 743 00:40:06,280 --> 00:40:09,080 Speaker 1: a paradox in the paper. Given that we evolve to 744 00:40:09,200 --> 00:40:12,400 Speaker 1: thrive in a fact based world, what other kind of 745 00:40:12,440 --> 00:40:14,560 Speaker 1: world could there? Exactly? Yeah, I mean, we we're dealing 746 00:40:14,560 --> 00:40:18,160 Speaker 1: with with with actual reality here. But but given that 747 00:40:18,239 --> 00:40:21,560 Speaker 1: we've evolved to thrive in this world, shouldn't true beliefs 748 00:40:21,680 --> 00:40:26,839 Speaker 1: be adaptive and misbeliefs be maladaptive. It's clear that in 749 00:40:26,960 --> 00:40:30,839 Speaker 1: many cases, probably most cases, that is the way things are. Right. 750 00:40:31,000 --> 00:40:33,440 Speaker 1: Believing that you are able to fly off the edge 751 00:40:33,480 --> 00:40:36,520 Speaker 1: of a cliff is not good for you. Believing that 752 00:40:36,560 --> 00:40:39,840 Speaker 1: polar bears want to cuddle with you is not advantageous. 753 00:40:40,120 --> 00:40:44,120 Speaker 1: Holding false beliefs like this doesn't work out well for people. Yeah, 754 00:40:44,160 --> 00:40:48,600 Speaker 1: they're they're they're reckless and dangerous misbeliefs that clearly like, 755 00:40:48,840 --> 00:40:50,840 Speaker 1: if you reach the point where you're believing in that, 756 00:40:51,239 --> 00:40:53,600 Speaker 1: you're going to go extinct. So it's obvious that there 757 00:40:53,680 --> 00:40:55,560 Speaker 1: is going to be at least some kind of major 758 00:40:55,680 --> 00:40:59,680 Speaker 1: selection pressure in the brain for shaping brains that believe 759 00:41:00,120 --> 00:41:04,240 Speaker 1: sly true things, unless there are cases where believing something 760 00:41:04,280 --> 00:41:09,640 Speaker 1: that's false outweighs the negative the drawbacks essentially. So here 761 00:41:09,680 --> 00:41:13,120 Speaker 1: here's a here's what they wrote quote on this assumption, 762 00:41:13,200 --> 00:41:16,440 Speaker 1: our beliefs about the world are essentially tools that enable 763 00:41:16,560 --> 00:41:21,520 Speaker 1: us to act effectively in the world. Moreover, to be reliable, 764 00:41:21,600 --> 00:41:24,640 Speaker 1: such tools must be produced in us, it is assumed 765 00:41:24,680 --> 00:41:28,400 Speaker 1: by systems designed by evolution to be truth aiming and 766 00:41:28,520 --> 00:41:32,760 Speaker 1: hence barring miracles, these systems must be designed to generate 767 00:41:33,040 --> 00:41:37,480 Speaker 1: grounded beliefs. A system for generating ungrounded but mostly true 768 00:41:37,480 --> 00:41:41,040 Speaker 1: beliefs would be an oracle, as impossible as a perpetual 769 00:41:41,080 --> 00:41:43,440 Speaker 1: motion machine. I like that. Yeah, So there's got to 770 00:41:43,480 --> 00:41:46,880 Speaker 1: be like a grounding procedure through which we can discover 771 00:41:47,040 --> 00:41:49,480 Speaker 1: true beliefs if we're going to have them. Otherwise we're 772 00:41:49,520 --> 00:41:52,400 Speaker 1: just talking about magic. But we have to account for 773 00:41:52,440 --> 00:41:55,080 Speaker 1: these varying levels of misbelief and self deception in the 774 00:41:55,160 --> 00:41:58,840 Speaker 1: human experience. They write, if evolution has designed us to 775 00:41:58,960 --> 00:42:02,560 Speaker 1: appraise the world accurately and to form true beliefs, how 776 00:42:02,600 --> 00:42:05,200 Speaker 1: are we to account for the routine exceptions to this 777 00:42:05,320 --> 00:42:09,480 Speaker 1: rule instances of misbelief? Most of us at times believe 778 00:42:09,800 --> 00:42:13,560 Speaker 1: propositions that end up being disproved. Many of us produce 779 00:42:13,680 --> 00:42:17,080 Speaker 1: beliefs that others consider obviously false to begin with, and 780 00:42:17,120 --> 00:42:19,880 Speaker 1: some of his form beliefs that are not just manifestly 781 00:42:19,960 --> 00:42:24,359 Speaker 1: but bizarrely false. How can this be? Are all these 782 00:42:24,400 --> 00:42:29,120 Speaker 1: misbeliefs just accidents, incidences of pathology or breakdown, or at 783 00:42:29,160 --> 00:42:33,520 Speaker 1: best undesirable but tolerable byproducts. Might some of them contrat 784 00:42:33,520 --> 00:42:38,080 Speaker 1: the default presumption be adaptive in and of themselves. I 785 00:42:38,160 --> 00:42:41,080 Speaker 1: like this distinction they're making. I think this is actually useful. 786 00:42:41,120 --> 00:42:44,759 Speaker 1: So they're breaking misbeliefs down into two basic kinds of 787 00:42:44,840 --> 00:42:49,280 Speaker 1: categories right right that they're talking about one those resulting 788 00:42:49,320 --> 00:42:52,280 Speaker 1: from a breakdown in the normal functioning of the belief 789 00:42:52,360 --> 00:42:57,000 Speaker 1: formation system. This would be delusions malfunctions, So things like 790 00:42:57,280 --> 00:43:01,080 Speaker 1: face blindness or or catard syndrow. Okay, this is when 791 00:43:01,239 --> 00:43:05,959 Speaker 1: the brain is creating incorrect beliefs because it's not working right, 792 00:43:06,000 --> 00:43:08,640 Speaker 1: it's not doing what it's supposed to be doing. But 793 00:43:08,680 --> 00:43:12,360 Speaker 1: then the second category are those that are arising in 794 00:43:12,400 --> 00:43:16,520 Speaker 1: the normal course of that system's operations, so beliefs based 795 00:43:16,560 --> 00:43:19,879 Speaker 1: on incomplete or inaccurate information. These would be this would 796 00:43:19,880 --> 00:43:22,480 Speaker 1: be a case of manufacture. And we'll get into examples 797 00:43:22,480 --> 00:43:24,480 Speaker 1: of this in a second. There could be tons of examples. 798 00:43:24,480 --> 00:43:26,160 Speaker 1: One that comes to my mind that would be an 799 00:43:26,160 --> 00:43:28,879 Speaker 1: example of this would be optical illusions. When you when 800 00:43:28,880 --> 00:43:31,800 Speaker 1: you witness an optical illusion, you have a false belief 801 00:43:31,880 --> 00:43:33,799 Speaker 1: that has been generated by your brain. But it's not 802 00:43:33,840 --> 00:43:37,200 Speaker 1: because your brain is doing anything wrong. It's just because, 803 00:43:37,320 --> 00:43:40,160 Speaker 1: like it's being exploited by a situation that's not part 804 00:43:40,160 --> 00:43:43,839 Speaker 1: of its normal what it normally needs to do. Right. Yeah, 805 00:43:44,000 --> 00:43:46,279 Speaker 1: they point out that it's it's easy to think of 806 00:43:46,320 --> 00:43:49,040 Speaker 1: these in light of of an artifact. Is it failing 807 00:43:49,080 --> 00:43:51,200 Speaker 1: due to a limitation in the design in a way 808 00:43:51,239 --> 00:43:54,400 Speaker 1: that is culpable or tolerable. Examples here being say a 809 00:43:54,520 --> 00:43:57,640 Speaker 1: clock that doesn't keep time keep good time versus a 810 00:43:57,640 --> 00:44:00,480 Speaker 1: toaster of and that doesn't keep time at all. You 811 00:44:00,480 --> 00:44:03,600 Speaker 1: can't expect the toast drivant to keep time unless it's 812 00:44:03,600 --> 00:44:05,600 Speaker 1: got a time right. Well, yes, but that's true. Yes, 813 00:44:05,920 --> 00:44:08,240 Speaker 1: I would have said a purple donkey built by muscular 814 00:44:08,239 --> 00:44:13,000 Speaker 1: elves that doesn't keep because he wouldn't even expect yes now. 815 00:44:13,000 --> 00:44:14,680 Speaker 1: But but it gets more complicated when you go into 816 00:44:14,680 --> 00:44:18,799 Speaker 1: the biological realm, because what counts as immune function, dysfunction, 817 00:44:19,200 --> 00:44:23,040 Speaker 1: a pathogen infection, but what it would have Ultimately, the 818 00:44:23,040 --> 00:44:26,120 Speaker 1: immune system airs by defending the body against say, a 819 00:44:26,200 --> 00:44:30,720 Speaker 1: transplant organ, and may ensure its survival because the body 820 00:44:30,800 --> 00:44:33,520 Speaker 1: is going to reject that attempt, to reject that that 821 00:44:33,640 --> 00:44:37,520 Speaker 1: heart transplant. Uh, even though the heart transplant could save 822 00:44:37,560 --> 00:44:39,719 Speaker 1: the patient, will save the patients. So it seems like 823 00:44:39,880 --> 00:44:42,640 Speaker 1: in order to understand this, you almost have to understand 824 00:44:42,680 --> 00:44:45,400 Speaker 1: the context, right right. They say that they invoked the 825 00:44:45,400 --> 00:44:49,200 Speaker 1: work of Ruth Garrett Milliken, who in saying that we 826 00:44:49,280 --> 00:44:52,160 Speaker 1: can't look to an organ's current properties or disposition, we 827 00:44:52,200 --> 00:44:54,440 Speaker 1: have to look to its history. That makes sense to me. 828 00:44:54,920 --> 00:44:58,480 Speaker 1: Organ transplants, of course, are not part of our evolutionary history. 829 00:44:58,520 --> 00:45:01,319 Speaker 1: So this is just the body function normally in rejecting 830 00:45:01,440 --> 00:45:05,040 Speaker 1: the invader heart. Right, The body is not malfunctioning is 831 00:45:05,040 --> 00:45:06,840 Speaker 1: doing what it's supposed to do. We're just throwing a 832 00:45:06,880 --> 00:45:09,799 Speaker 1: situation at it that it's not prepared to deal with. Yeah, 833 00:45:10,080 --> 00:45:14,000 Speaker 1: so that brings us to the more human examples, you know, 834 00:45:14,120 --> 00:45:17,520 Speaker 1: lies and uh and so forth. Oh, that's interesting. So 835 00:45:17,560 --> 00:45:20,560 Speaker 1: a lie could be like a thing that our bodies 836 00:45:20,600 --> 00:45:24,040 Speaker 1: were not really prepared to deal with very well, which 837 00:45:24,080 --> 00:45:27,680 Speaker 1: is weird to think of because of how common lies are. Yeah, 838 00:45:27,680 --> 00:45:30,120 Speaker 1: they right. However adaptive it may be for us to 839 00:45:30,160 --> 00:45:33,680 Speaker 1: believe truly, it may be adaptive for other parties if 840 00:45:33,719 --> 00:45:36,440 Speaker 1: we believe falsely. Now that and of course this is 841 00:45:36,480 --> 00:45:38,719 Speaker 1: something just to to interject here, I think this is 842 00:45:38,760 --> 00:45:42,960 Speaker 1: something that we ultimately see holds holds true with other animals, 843 00:45:43,000 --> 00:45:46,040 Speaker 1: like the role of deception of course in u in 844 00:45:46,040 --> 00:45:50,160 Speaker 1: in in certainly in hunting, in defense, and even acquiring mates. 845 00:45:50,920 --> 00:45:54,440 Speaker 1: They continue. An evolutionary arms race of deceptive ploys and 846 00:45:54,520 --> 00:45:59,120 Speaker 1: counterploys may thus ensue. In some cases, the other parties 847 00:45:59,120 --> 00:46:02,520 Speaker 1: in question may not even be animate agents, but cultural 848 00:46:02,560 --> 00:46:05,879 Speaker 1: traits or systems. Although such cases are interesting in their 849 00:46:05,880 --> 00:46:09,440 Speaker 1: own right, the adaptive misbeliefs we pursue in this article 850 00:46:09,719 --> 00:46:13,360 Speaker 1: are beneficial to their consumers. Misbeliefs that evolved to the 851 00:46:13,400 --> 00:46:17,200 Speaker 1: detriment of their believers are not our quarries, so they 852 00:46:17,200 --> 00:46:20,360 Speaker 1: stress the difference between beliefs and what they referred to 853 00:46:20,400 --> 00:46:24,680 Speaker 1: as a leafs uh and uh. So for instance, if 854 00:46:24,680 --> 00:46:27,520 Speaker 1: I'm freaked out by tall buildings, I might not believe 855 00:46:27,600 --> 00:46:29,840 Speaker 1: that I'm going to fall off, but I might a 856 00:46:29,920 --> 00:46:32,640 Speaker 1: lieve that I'm going to fall off. They leave as 857 00:46:32,680 --> 00:46:36,239 Speaker 1: in like like a moral yes. Yeah, And in this 858 00:46:36,280 --> 00:46:38,360 Speaker 1: case it seems to be something that is tall, a 859 00:46:38,400 --> 00:46:41,920 Speaker 1: tolerated side effect of an imperfect system. But it's not 860 00:46:42,000 --> 00:46:44,440 Speaker 1: McKay and Dinnett that end up bringing up the illusory 861 00:46:44,520 --> 00:46:49,759 Speaker 1: truth effect, but psychologists Pascal boy Yer in commentary on 862 00:46:49,800 --> 00:46:53,680 Speaker 1: the paper. Uh, this particular paper from from McKay and 863 00:46:53,719 --> 00:46:55,920 Speaker 1: dine Itt, by the ways, available online. I'll try to 864 00:46:55,960 --> 00:46:57,440 Speaker 1: include a link to it on the landing page for 865 00:46:57,520 --> 00:47:01,520 Speaker 1: this episode. But in his commentary, a boy A rights 866 00:47:01,840 --> 00:47:06,240 Speaker 1: dramatic memory distortion seem to influence belief fixation. For instance, 867 00:47:06,400 --> 00:47:09,480 Speaker 1: in the illusory truth effect, statements read several times are 868 00:47:09,520 --> 00:47:12,920 Speaker 1: more likely rated as true than statements read only once. 869 00:47:13,600 --> 00:47:16,759 Speaker 1: People who repeatedly imagine performing a particular action may end 870 00:47:16,840 --> 00:47:19,440 Speaker 1: up believing they actually performed it. Oh, yeah, this is 871 00:47:19,440 --> 00:47:21,840 Speaker 1: something I've read before. If yeah, if so, if you 872 00:47:21,920 --> 00:47:24,879 Speaker 1: just like have people walk through a task in their 873 00:47:24,920 --> 00:47:27,759 Speaker 1: mind and then ask them later if they remember doing it. 874 00:47:27,800 --> 00:47:31,000 Speaker 1: A lot of times they remember physically acting it out. Yeah, 875 00:47:31,080 --> 00:47:34,080 Speaker 1: I've certainly had this occur with me, Like There'll be 876 00:47:34,120 --> 00:47:36,120 Speaker 1: something I need to do and I'm thinking about doing it, 877 00:47:36,400 --> 00:47:39,759 Speaker 1: and then I can't remember if I actually carried it out. Uh. 878 00:47:39,760 --> 00:47:43,640 Speaker 1: And this is uh, this is called imagination inflation. He writes. 879 00:47:44,120 --> 00:47:48,200 Speaker 1: Misinformation paradigms show that most people are vulnerable to memory revision. 880 00:47:48,440 --> 00:47:53,920 Speaker 1: When plausible information is implied by experimenters in social contagion protocols, 881 00:47:53,960 --> 00:47:56,040 Speaker 1: people tend to believe they actually saw what is in 882 00:47:56,120 --> 00:47:59,640 Speaker 1: fact suggested by the confederate with whom they watched a video. 883 00:48:00,040 --> 00:48:02,440 Speaker 1: So that he's just listing lots of the ways that 884 00:48:02,560 --> 00:48:06,280 Speaker 1: we are end up with false beliefs. There's a plethora 885 00:48:06,360 --> 00:48:11,279 Speaker 1: of examples of mechanisms for putting false beliefs in our brains. Yeah. 886 00:48:11,280 --> 00:48:13,000 Speaker 1: I know there's a lot of territory covered in this 887 00:48:13,040 --> 00:48:17,359 Speaker 1: paper in the attached responses, but I can't I come 888 00:48:17,360 --> 00:48:20,360 Speaker 1: back to the sort of key reason that I sought 889 00:48:20,360 --> 00:48:23,480 Speaker 1: it out like, like, when is self self deception helpful? 890 00:48:23,520 --> 00:48:27,320 Speaker 1: Is it necessary for the deception of others? It doesn't 891 00:48:27,640 --> 00:48:30,080 Speaker 1: quite seem to be, like, you don't have to believe 892 00:48:30,120 --> 00:48:33,480 Speaker 1: the lie yourself to tell someone else the lie, regardless 893 00:48:33,520 --> 00:48:38,120 Speaker 1: of what telling the lie repeatedly might do to you. Well, so, boy, 894 00:48:38,200 --> 00:48:41,120 Speaker 1: he's skeptical of the idea, right, So is he basically 895 00:48:41,160 --> 00:48:44,880 Speaker 1: saying like, you don't want to overstate the the adaptiveness 896 00:48:45,000 --> 00:48:48,480 Speaker 1: of believing lies, but yeah, he drives sound that memory 897 00:48:48,560 --> 00:48:51,160 Speaker 1: need only be as good as the advantage and decision 898 00:48:51,200 --> 00:48:54,799 Speaker 1: making it affords. Okay, so he's essentially going for the 899 00:48:54,800 --> 00:48:59,319 Speaker 1: byproduct thing for most most beliefs He's he's saying like, look, 900 00:48:59,680 --> 00:49:03,160 Speaker 1: you know, memory needs to do certain things, and in 901 00:49:03,200 --> 00:49:05,600 Speaker 1: the course of doing those things, it may generate some 902 00:49:05,680 --> 00:49:07,880 Speaker 1: false beliefs. We don't have to assume that those false 903 00:49:07,880 --> 00:49:11,960 Speaker 1: beliefs themselves are beneficial, right, Yeah. And And to come 904 00:49:12,000 --> 00:49:14,360 Speaker 1: back to McKay and Dinnett, they point out that natural 905 00:49:14,360 --> 00:49:17,479 Speaker 1: selection doesn't seem to care about truth. It only cares 906 00:49:17,520 --> 00:49:20,440 Speaker 1: about reproductive success, so that there are various cases where 907 00:49:20,440 --> 00:49:24,239 Speaker 1: a particular false belief or misbelief is seemingly adaptive. You 908 00:49:24,239 --> 00:49:27,239 Speaker 1: believe in a non existent fire god. Okay, but say 909 00:49:27,280 --> 00:49:31,680 Speaker 1: that its laws inhibit overt selfish behavior gets you in 910 00:49:31,719 --> 00:49:33,879 Speaker 1: trouble and not work out for you in the long run. 911 00:49:34,239 --> 00:49:37,640 Speaker 1: So in that case, you have an adaptive misbelief. Now, 912 00:49:37,680 --> 00:49:40,319 Speaker 1: if the fire God wherever to actually appear, then this 913 00:49:40,360 --> 00:49:43,040 Speaker 1: would be an adaptive belief. But then there are arguably 914 00:49:43,080 --> 00:49:45,960 Speaker 1: a whole host of other false ideas that seem adaptive, 915 00:49:46,080 --> 00:49:50,879 Speaker 1: positive self deceptions about ability, the placebo effect for instance. Um, 916 00:49:51,040 --> 00:49:54,360 Speaker 1: they bring up the self theories of intelligence, entity and 917 00:49:54,440 --> 00:49:58,560 Speaker 1: incremental view of intelligence. Um, this being like, m am, 918 00:49:58,560 --> 00:50:01,480 Speaker 1: I born with a certain in uh intellect? Or do 919 00:50:01,520 --> 00:50:04,319 Speaker 1: I develop it over time? And how those different core 920 00:50:04,440 --> 00:50:09,680 Speaker 1: beliefs can affect your effectiveness in life Like doesn't mean like, oh, 921 00:50:09,719 --> 00:50:11,600 Speaker 1: I've got to work really hard in order to stay 922 00:50:12,239 --> 00:50:14,840 Speaker 1: stay on top of this, or is it a situation 923 00:50:14,840 --> 00:50:17,600 Speaker 1: where oh, I'm I'm brilliant, I can accomplish anything. And and 924 00:50:17,160 --> 00:50:19,960 Speaker 1: and of course I think you can argue for pitfalls 925 00:50:20,000 --> 00:50:23,000 Speaker 1: on both sides. And of course there's always the optimal 926 00:50:23,040 --> 00:50:25,799 Speaker 1: margin of illusion in play, which comes to us from 927 00:50:25,920 --> 00:50:29,720 Speaker 1: Roy f Ball moister. Uh. And you know, ultimately crazy 928 00:50:29,760 --> 00:50:32,279 Speaker 1: over confidence as we do as we discussed is going 929 00:50:32,320 --> 00:50:34,560 Speaker 1: to lead to extinction? Right, you don't want to cuddle 930 00:50:34,560 --> 00:50:36,840 Speaker 1: the polar bear. Right, cuddling the polar bear thinking you 931 00:50:36,880 --> 00:50:40,800 Speaker 1: can fly? Uh, these are going to lead you falling 932 00:50:40,800 --> 00:50:42,400 Speaker 1: off the side of a mountain or winding up in 933 00:50:42,440 --> 00:50:46,040 Speaker 1: a polar bear's tummy. Yeah. Now, I could certainly understand 934 00:50:46,040 --> 00:50:49,120 Speaker 1: the idea of socially adaptive misbeliefs. I think that thing. 935 00:50:49,920 --> 00:50:52,920 Speaker 1: Those things definitely do exist, and in some cases there 936 00:50:53,000 --> 00:50:55,960 Speaker 1: might be some overlap with the types of things that 937 00:50:56,080 --> 00:50:59,600 Speaker 1: get repeated so often, Like reasons for believing untrue things 938 00:51:00,080 --> 00:51:03,960 Speaker 1: can also compound each other. I mean, I'm I'm about 939 00:51:04,000 --> 00:51:06,760 Speaker 1: to explain why I think false beliefs gained through exposure 940 00:51:06,760 --> 00:51:10,319 Speaker 1: and repetition are not adaptive in themselves. But you can 941 00:51:10,360 --> 00:51:13,640 Speaker 1: have more than one reason for believing something that's untrue. 942 00:51:14,040 --> 00:51:17,239 Speaker 1: Think about objectively untrue statements that get repeated, as we 943 00:51:17,320 --> 00:51:20,280 Speaker 1: were talking about earlier, in a political context. The evidence 944 00:51:20,320 --> 00:51:23,120 Speaker 1: shows that we believe them partially because of how often 945 00:51:23,120 --> 00:51:27,320 Speaker 1: they repeated, but there's also social cognition and also identity 946 00:51:27,360 --> 00:51:30,479 Speaker 1: protective cognition. In other words, we tend to believe things 947 00:51:30,480 --> 00:51:33,520 Speaker 1: that members of our political tribe and social in groups, say, 948 00:51:33,760 --> 00:51:37,719 Speaker 1: and for social cohesion reasons that that is adaptive for us. 949 00:51:38,400 --> 00:51:41,480 Speaker 1: We also believe things that validate our sense of personal identity. 950 00:51:41,520 --> 00:51:44,280 Speaker 1: But I think it's pretty clear that that these types 951 00:51:44,320 --> 00:51:48,759 Speaker 1: of effects can work in a nasty perverse tag team format, 952 00:51:49,480 --> 00:51:53,000 Speaker 1: boosting and complementing one another. But even if we we 953 00:51:53,080 --> 00:51:57,359 Speaker 1: put aside these complementary effects, put aside uh social and 954 00:51:57,480 --> 00:52:01,400 Speaker 1: identity protective cognition, put those aside, and just focus on 955 00:52:01,440 --> 00:52:05,680 Speaker 1: the explanation for the illusory truth effect and repetition, there's 956 00:52:05,680 --> 00:52:08,279 Speaker 1: a really interesting thing that comes out. And this is 957 00:52:08,440 --> 00:52:12,680 Speaker 1: based on the idea of processing fluency, which is it's 958 00:52:12,719 --> 00:52:15,440 Speaker 1: a it's a concept that is way more interesting than 959 00:52:15,480 --> 00:52:19,360 Speaker 1: the name would let you believe. So the dominant explanation 960 00:52:19,440 --> 00:52:22,480 Speaker 1: for the illusory truth effect in the psychology literature, which 961 00:52:22,480 --> 00:52:27,040 Speaker 1: we're about to get into, um fits into this byproduct 962 00:52:27,160 --> 00:52:29,759 Speaker 1: category that we were just talking about. Based on all 963 00:52:29,800 --> 00:52:33,320 Speaker 1: I've read, it seems the informed majority opinion of psychologists 964 00:52:33,719 --> 00:52:36,000 Speaker 1: is that the illusion of truth that we get from 965 00:52:36,040 --> 00:52:40,520 Speaker 1: exposure and repetition is an unfortunate byproduct of generally useful 966 00:52:41,000 --> 00:52:44,720 Speaker 1: cognitive heuristic. Now, a heuristic, as we've talked about before, 967 00:52:44,760 --> 00:52:48,000 Speaker 1: is a mental shortcut. It's a fast and cheap trick 968 00:52:48,520 --> 00:52:51,520 Speaker 1: that the brain uses to arrive at a judgment or 969 00:52:51,560 --> 00:52:54,600 Speaker 1: produce some kind of result without using too much effort. 970 00:52:54,840 --> 00:52:57,680 Speaker 1: And it's it's worth driving home that our brains need 971 00:52:57,840 --> 00:53:01,520 Speaker 1: fast and cheap tricks. Yeah, brains are very energy hungry. 972 00:53:01,600 --> 00:53:04,319 Speaker 1: Yeah yeah, there's only there's only so much power to 973 00:53:04,320 --> 00:53:06,920 Speaker 1: go around there. So it's, uh, it's kind of has 974 00:53:06,960 --> 00:53:09,719 Speaker 1: to hold everything together with a bunch of of of 975 00:53:09,840 --> 00:53:13,040 Speaker 1: cheap tricks. Yeah, so it works something like this. Let's 976 00:53:13,120 --> 00:53:15,720 Speaker 1: let's go on, let's go with it. Assume that on balance, 977 00:53:16,000 --> 00:53:20,000 Speaker 1: true statements get uttered more often than lies. As cynical 978 00:53:20,040 --> 00:53:22,600 Speaker 1: as we like to be, that's probably true, right, True 979 00:53:22,640 --> 00:53:26,480 Speaker 1: statements are generally more useful to people. Also, there's a 980 00:53:26,520 --> 00:53:30,440 Speaker 1: sort of convergence effect where there's only one way for 981 00:53:30,480 --> 00:53:33,080 Speaker 1: a true statement to be true, but there are lots 982 00:53:33,080 --> 00:53:36,080 Speaker 1: of different ways to say a lie about the subject 983 00:53:36,160 --> 00:53:38,840 Speaker 1: of that statement. So like, true statements on the subject 984 00:53:38,880 --> 00:53:42,319 Speaker 1: are going to be more consistent usually than lies about 985 00:53:42,320 --> 00:53:44,400 Speaker 1: the subject because a lie about the subject could be 986 00:53:44,440 --> 00:53:49,719 Speaker 1: anything well, and also lies lies it in large part 987 00:53:49,920 --> 00:53:53,040 Speaker 1: have to be believable. Like think about the various true 988 00:53:53,040 --> 00:53:56,239 Speaker 1: statements and uh and false statements that might be uttered 989 00:53:56,320 --> 00:53:59,799 Speaker 1: during the course of a given day at work. Yeah, somebody, hey, 990 00:53:59,800 --> 00:54:02,280 Speaker 1: we're the bathroom, you know, it's a new building. Say. 991 00:54:02,360 --> 00:54:04,719 Speaker 1: Then they're they're gonna probably say, oh, it's over there, 992 00:54:04,760 --> 00:54:07,040 Speaker 1: and they're they're they're probably going to tell you the truth. 993 00:54:07,880 --> 00:54:10,279 Speaker 1: Generally does not serve people well to lie about the 994 00:54:10,280 --> 00:54:12,600 Speaker 1: location of the bathroom, right because you're gonna find out 995 00:54:12,719 --> 00:54:14,359 Speaker 1: and then you're gonna say, hey, why did you tell 996 00:54:14,360 --> 00:54:16,560 Speaker 1: me the bathroom is over there and not over there? 997 00:54:16,600 --> 00:54:21,400 Speaker 1: Are you insane? But then some of the false statements 998 00:54:21,440 --> 00:54:24,279 Speaker 1: you're liable to hear might be, hey, if you uh, 999 00:54:24,680 --> 00:54:26,200 Speaker 1: I don't know, let's see have you started on that 1000 00:54:26,239 --> 00:54:29,000 Speaker 1: report yet, Let's do on Friday, And they'll say, oh, yeah, 1001 00:54:29,000 --> 00:54:30,359 Speaker 1: I've got it, I've got it taken care of. I'll 1002 00:54:30,360 --> 00:54:32,640 Speaker 1: get it to you on Friday. You know. There there's 1003 00:54:32,719 --> 00:54:34,239 Speaker 1: there are a lot of statements like that that are 1004 00:54:34,560 --> 00:54:36,799 Speaker 1: that ultimately you can't really check in on, like you're 1005 00:54:36,840 --> 00:54:38,400 Speaker 1: just gonna have to take their word for it, right, 1006 00:54:38,440 --> 00:54:40,879 Speaker 1: and that kind of lie. Yeah, you'll never find out, 1007 00:54:41,440 --> 00:54:44,279 Speaker 1: you know, yeah exactly. Or I can't come into work 1008 00:54:44,320 --> 00:54:46,440 Speaker 1: today because I'm sick. Well, all right, I'm you know, 1009 00:54:46,480 --> 00:54:48,560 Speaker 1: we're not going to ask for a doctor's note. You 1010 00:54:48,640 --> 00:54:51,160 Speaker 1: might be lying, you might not, but it's just kind 1011 00:54:51,160 --> 00:54:54,040 Speaker 1: of a gimme on that situation. Yeah, that's another reason 1012 00:54:54,120 --> 00:54:57,960 Speaker 1: that we're more likely to be exposed to true statements generally, 1013 00:54:58,040 --> 00:55:00,320 Speaker 1: or at least that were more likely to detect true 1014 00:55:00,320 --> 00:55:04,720 Speaker 1: statements generally, because false statements are harder to verify, usually 1015 00:55:04,719 --> 00:55:07,200 Speaker 1: by design of the person making them. So you're able 1016 00:55:07,200 --> 00:55:09,479 Speaker 1: to find yourself in an environment it's mostly built out 1017 00:55:09,560 --> 00:55:15,400 Speaker 1: of true statements and believable lies. Right, So on this assumption, 1018 00:55:16,080 --> 00:55:18,840 Speaker 1: you know you're you're in a hurry, and your brain 1019 00:55:19,600 --> 00:55:22,959 Speaker 1: it is not designed to consume infinite energy. It wants 1020 00:55:23,000 --> 00:55:25,319 Speaker 1: to try to be efficient. You don't have time to 1021 00:55:25,400 --> 00:55:28,239 Speaker 1: evaluate all claims rigorously. I mean, even no matter how 1022 00:55:28,280 --> 00:55:32,319 Speaker 1: skeptical you want to be, we can confirm this eventually. 1023 00:55:32,480 --> 00:55:34,959 Speaker 1: You are just not going to have time to look 1024 00:55:35,000 --> 00:55:37,439 Speaker 1: into everything you believe. You're just gonna have to take 1025 00:55:37,440 --> 00:55:40,440 Speaker 1: somebody's word for it. It's not practical to try to 1026 00:55:40,520 --> 00:55:44,000 Speaker 1: live by verifying every single belief. Oh yeah, I mean 1027 00:55:44,080 --> 00:55:47,360 Speaker 1: it would. You've just got to have something firm underneath 1028 00:55:47,400 --> 00:55:49,399 Speaker 1: your feet in order to proceed. Oh yeah, you've got 1029 00:55:49,400 --> 00:55:51,279 Speaker 1: a bedrock, but then you've also got to have you 1030 00:55:51,440 --> 00:55:53,759 Speaker 1: just I mean, you take somebody's word on where the 1031 00:55:53,800 --> 00:55:57,680 Speaker 1: bathroom is, like, you're not gonna try to fact check them, 1032 00:55:57,719 --> 00:55:59,640 Speaker 1: you know, well, I guess you will by trying to 1033 00:55:59,640 --> 00:56:02,000 Speaker 1: go there. But other other things like that, mundane things 1034 00:56:02,000 --> 00:56:04,480 Speaker 1: people tell you throughout the day, You're just gonna have 1035 00:56:04,560 --> 00:56:07,879 Speaker 1: to believe them. There's just no, it doesn't make any 1036 00:56:07,920 --> 00:56:10,520 Speaker 1: sense to try to verify all of it because you 1037 00:56:10,520 --> 00:56:15,320 Speaker 1: don't have time. So therefore, an easy shortcut for assuming 1038 00:56:15,360 --> 00:56:18,160 Speaker 1: that a statement is more likely true is have I 1039 00:56:18,200 --> 00:56:22,440 Speaker 1: heard this statement before? Statements they get uttered more often 1040 00:56:22,480 --> 00:56:26,520 Speaker 1: are more likely to be from that class of true statements. Okay, 1041 00:56:26,600 --> 00:56:29,160 Speaker 1: I can roll with that. Now, there's another type of 1042 00:56:29,200 --> 00:56:33,200 Speaker 1: parallel thinking that says, uh, that says, you know, also, 1043 00:56:33,440 --> 00:56:36,400 Speaker 1: it's actually more difficult to disbelieve something than it is 1044 00:56:36,440 --> 00:56:40,000 Speaker 1: to believe it because and I don't know if this 1045 00:56:40,040 --> 00:56:42,320 Speaker 1: is really confirmed or if this is just one theory 1046 00:56:42,360 --> 00:56:45,200 Speaker 1: about how the information processing in the brain works. But 1047 00:56:45,520 --> 00:56:49,359 Speaker 1: just as a quick tangent, there is a model of 1048 00:56:49,400 --> 00:56:52,400 Speaker 1: thinking that says, Okay, to believe a statement is true, 1049 00:56:52,440 --> 00:56:54,680 Speaker 1: to hear a statement and say I believe it is 1050 00:56:54,719 --> 00:56:57,800 Speaker 1: just one step in the brain. To hear a statement 1051 00:56:57,840 --> 00:57:00,840 Speaker 1: and reject it as false is a two step procedure 1052 00:57:00,880 --> 00:57:03,399 Speaker 1: where first you have to hear it and believe it 1053 00:57:03,480 --> 00:57:06,080 Speaker 1: to understand it, and then you have to go back 1054 00:57:06,120 --> 00:57:08,960 Speaker 1: and revise what you just did and say, but it's 1055 00:57:09,000 --> 00:57:12,200 Speaker 1: not true. Yeah. It's ultimately like a king setting down 1056 00:57:12,400 --> 00:57:15,360 Speaker 1: at a banquet table. Right, is the king to simply 1057 00:57:15,960 --> 00:57:19,800 Speaker 1: eat every uh, every food item on the plate and 1058 00:57:19,840 --> 00:57:21,800 Speaker 1: trust in it and trust that he's not going to 1059 00:57:21,840 --> 00:57:25,400 Speaker 1: be poisoned or is he going to independently test each thing? 1060 00:57:25,560 --> 00:57:28,440 Speaker 1: Have the food taster come up, put the mid transfer 1061 00:57:28,520 --> 00:57:31,760 Speaker 1: this goblet of wine into the rhinoceros horn, etcetera. Hold 1062 00:57:31,800 --> 00:57:34,600 Speaker 1: the magic crystal over this plate of beans. And you know, 1063 00:57:34,640 --> 00:57:37,640 Speaker 1: another thing that came to mind was some of our 1064 00:57:37,640 --> 00:57:40,760 Speaker 1: discussions we've had in the past about consciousness and imagination 1065 00:57:40,800 --> 00:57:44,520 Speaker 1: as a simulation engine, that we use our imagination to 1066 00:57:45,360 --> 00:57:50,360 Speaker 1: mentally simulate possible outcomes so that we can best choose 1067 00:57:50,440 --> 00:57:52,720 Speaker 1: how we're going to react to the world. And when 1068 00:57:52,720 --> 00:57:54,880 Speaker 1: I'm presented with something that might be a lie or 1069 00:57:55,200 --> 00:57:57,800 Speaker 1: or of some sort of untruth or a bit of 1070 00:57:57,800 --> 00:58:02,200 Speaker 1: of misinformation. I still can't help but imagine it, right, 1071 00:58:02,240 --> 00:58:05,160 Speaker 1: I'm having to create a mental picture of it. Um 1072 00:58:05,240 --> 00:58:08,720 Speaker 1: in a sense, you're kind of believing it for the moment. Yeah, yeah, 1073 00:58:08,720 --> 00:58:11,320 Speaker 1: because I have to simulate it in my head. And 1074 00:58:11,360 --> 00:58:13,600 Speaker 1: in cases of people who can form mental pictures, you 1075 00:58:13,600 --> 00:58:16,520 Speaker 1: have to form those mental pictures and uh, now you know, 1076 00:58:16,560 --> 00:58:19,280 Speaker 1: And I imagine a lot of this what shakes out 1077 00:58:19,320 --> 00:58:23,320 Speaker 1: after has to do with an individual's particular worldview. But 1078 00:58:23,840 --> 00:58:26,440 Speaker 1: I wonder if in some cases it's like a type 1079 00:58:26,520 --> 00:58:29,320 Speaker 1: one error in cognition, you know, and it's a false positive. 1080 00:58:29,800 --> 00:58:34,280 Speaker 1: Uh that uh, that I I'm imagining this is a 1081 00:58:34,320 --> 00:58:37,680 Speaker 1: possible outcome, and then maybe I'm more inclined to believe 1082 00:58:37,760 --> 00:58:40,720 Speaker 1: it just so that I can keep it from harming me. Yeah. 1083 00:58:40,760 --> 00:58:43,520 Speaker 1: I think that's a very very reasonable way of imagining it. 1084 00:58:44,000 --> 00:58:46,240 Speaker 1: But so here's where we get into the final part 1085 00:58:46,240 --> 00:58:49,160 Speaker 1: of our discussion today, which is the idea of what 1086 00:58:49,200 --> 00:58:53,040 Speaker 1: I mentioned a minute ago, processing fluency. So processing fluency 1087 00:58:53,160 --> 00:58:57,200 Speaker 1: just means how easy it is to process incoming information. 1088 00:58:58,080 --> 00:59:00,960 Speaker 1: And you wouldn't believe the research, John, how many of 1089 00:59:01,000 --> 00:59:04,200 Speaker 1: our decisions and mental outcomes seem to be based at 1090 00:59:04,240 --> 00:59:08,840 Speaker 1: least in part on processing fluency. The brain really really 1091 00:59:08,920 --> 00:59:12,360 Speaker 1: likes things to be easy. It really likes things to 1092 00:59:12,400 --> 00:59:16,200 Speaker 1: be to go smooth, to not be too difficult. Uh So, 1093 00:59:16,720 --> 00:59:20,000 Speaker 1: to start off, based on existing research, it definitely seems 1094 00:59:20,000 --> 00:59:23,800 Speaker 1: true that people have an easier time processing statements and 1095 00:59:23,880 --> 00:59:27,960 Speaker 1: information they've heard before. In fact, Robert, you probably know 1096 00:59:28,040 --> 00:59:32,080 Speaker 1: this from direct experience. Like a familiar statement, when used 1097 00:59:32,080 --> 00:59:34,240 Speaker 1: in the context of a sentence or an argument, is 1098 00:59:34,240 --> 00:59:38,840 Speaker 1: processed quite smoothly, but a new, unfamiliar statement in the 1099 00:59:38,880 --> 00:59:41,520 Speaker 1: same context often causes you to say, wait, hold on, 1100 00:59:41,560 --> 00:59:43,360 Speaker 1: back up, I need to wrap my head around this. 1101 00:59:44,080 --> 00:59:48,360 Speaker 1: Familiar is easy. Unfamiliar is difficult. But how would you 1102 00:59:48,520 --> 00:59:52,720 Speaker 1: test whether the ease of processing information we're actually affecting 1103 00:59:52,720 --> 00:59:56,360 Speaker 1: our judgment of of the truth of a statement. And 1104 00:59:56,440 --> 00:59:58,360 Speaker 1: I want to get into a couple of quick, really 1105 00:59:58,360 --> 01:00:02,480 Speaker 1: interesting studies on this that we're so simple and so brilliant. 1106 01:00:02,880 --> 01:00:07,720 Speaker 1: So in Rayburn Schwartz did a study in consciousness and 1107 01:00:07,760 --> 01:00:11,720 Speaker 1: cognition called Effects of perceptual fluency on judgments of truth. 1108 01:00:12,800 --> 01:00:14,640 Speaker 1: They took true or false statements, kind of like in 1109 01:00:14,680 --> 01:00:17,640 Speaker 1: the studies we've seen before of the variety osorn no 1110 01:00:17,760 --> 01:00:21,960 Speaker 1: is in Chile, or Greenland has roughly fifty inhabitants, and 1111 01:00:22,000 --> 01:00:25,040 Speaker 1: they presented those statements to people, and the main independent 1112 01:00:25,080 --> 01:00:28,280 Speaker 1: variable was that they presented the statements either against a 1113 01:00:28,320 --> 01:00:31,960 Speaker 1: white background in a high contrast, easy to read color, 1114 01:00:32,520 --> 01:00:35,960 Speaker 1: or in a low contrast, hard to read color, and 1115 01:00:36,000 --> 01:00:38,360 Speaker 1: apparently that made all the difference in the world. The 1116 01:00:38,440 --> 01:00:42,000 Speaker 1: idea is that the hard to read one has low 1117 01:00:42,080 --> 01:00:45,360 Speaker 1: processing fluency, it's difficult, and the easy to read one 1118 01:00:45,400 --> 01:00:49,520 Speaker 1: has high processing fluency, it's easy to process. And they 1119 01:00:49,560 --> 01:00:52,680 Speaker 1: found that this made a big difference in what people 1120 01:00:52,760 --> 01:00:57,720 Speaker 1: believed was true or false. Uh quote. Moderately visible statements 1121 01:00:57,720 --> 01:01:01,800 Speaker 1: were judged as true at chance all, whereas highly visible 1122 01:01:01,840 --> 01:01:05,720 Speaker 1: statements were judged as true significantly above chance level. We 1123 01:01:05,760 --> 01:01:10,560 Speaker 1: conclude the perceptual fluency affects judgments of truth. This is 1124 01:01:10,560 --> 01:01:12,800 Speaker 1: another one that makes sense from a marketing standpoint, right, 1125 01:01:12,840 --> 01:01:17,440 Speaker 1: just make your message very clear, very very easily absorbed, 1126 01:01:17,680 --> 01:01:20,280 Speaker 1: and people will begin to buy into it. Oh, absolutely, 1127 01:01:20,320 --> 01:01:23,520 Speaker 1: And this has actually been studied in marketing and consumer preference. 1128 01:01:23,600 --> 01:01:27,080 Speaker 1: Like there is one study from Novimski at All published 1129 01:01:27,080 --> 01:01:29,360 Speaker 1: in two thousand seven in the Journal of Marketing Research 1130 01:01:29,560 --> 01:01:32,600 Speaker 1: that in short, it found that consumers more often tend 1131 01:01:32,600 --> 01:01:36,560 Speaker 1: to choose brands that represent ease and fluency. Like say, 1132 01:01:36,600 --> 01:01:39,600 Speaker 1: if the information about a brand is easy to read, 1133 01:01:39,880 --> 01:01:42,600 Speaker 1: consumers are more likely to choose that brand that's the 1134 01:01:42,640 --> 01:01:45,000 Speaker 1: one they want. So that makes me wonder why Coca 1135 01:01:45,000 --> 01:01:46,840 Speaker 1: Cola is written in cursive. It seems like you would 1136 01:01:46,840 --> 01:01:49,160 Speaker 1: want it just very clear, bold letters. Well didn't they 1137 01:01:49,160 --> 01:01:52,240 Speaker 1: try to change the can? When did? I haven't really 1138 01:01:52,280 --> 01:01:56,040 Speaker 1: looked at a can recently. Maybe it's not incursive anymore, 1139 01:01:56,160 --> 01:01:59,200 Speaker 1: you know, they're Actually you might have two things in conflict, right, 1140 01:01:59,520 --> 01:02:02,160 Speaker 1: So you could have in conflict if you if you've 1141 01:02:02,200 --> 01:02:04,920 Speaker 1: got an old logo that people are familiar with but 1142 01:02:05,000 --> 01:02:07,760 Speaker 1: it's hard to read, that the hard to read part 1143 01:02:08,080 --> 01:02:11,160 Speaker 1: might be undercutting their preference for it, but the fact 1144 01:02:11,240 --> 01:02:13,920 Speaker 1: that it's familiar might be boosting their preference for it. 1145 01:02:13,960 --> 01:02:15,960 Speaker 1: If you try to change it to something that's easier 1146 01:02:16,000 --> 01:02:20,240 Speaker 1: to read, the change might introduce more difficulty in processing 1147 01:02:20,360 --> 01:02:23,640 Speaker 1: than the ease of reading would improve processing. Yeah, that 1148 01:02:23,680 --> 01:02:25,600 Speaker 1: makes sense, all right, So I want to cite one 1149 01:02:25,640 --> 01:02:28,439 Speaker 1: more study, a study by Christian uncle Bach in two 1150 01:02:28,440 --> 01:02:32,800 Speaker 1: thousand seven from the Journal of Experimental Psychology, Learning, Memory, 1151 01:02:32,800 --> 01:02:36,840 Speaker 1: and Cognition and Uncle Bach does an interesting thing in 1152 01:02:36,880 --> 01:02:40,000 Speaker 1: the study where he's got a hypothesis he wants to test. 1153 01:02:40,080 --> 01:02:44,320 Speaker 1: He writes, quote, I argue that experienced fluency is used 1154 01:02:44,360 --> 01:02:46,920 Speaker 1: as a que and judgments of truth according to the 1155 01:02:46,960 --> 01:02:52,040 Speaker 1: cues ecological validity, meaning like successfulness in the real world. 1156 01:02:52,840 --> 01:02:56,680 Speaker 1: Quote that is, the truth effect occurs because repetition leads 1157 01:02:56,720 --> 01:03:00,120 Speaker 1: to more fluent processing of a statement, and people have 1158 01:03:00,280 --> 01:03:04,840 Speaker 1: learned that the experience of processing fluency correlates positively with 1159 01:03:04,920 --> 01:03:07,280 Speaker 1: the truth of a statement. So this is sort of 1160 01:03:07,280 --> 01:03:09,400 Speaker 1: what we were talking about earlier. It's a heuristic that 1161 01:03:09,760 --> 01:03:12,200 Speaker 1: you know, you're more likely to encounter true statements in 1162 01:03:12,240 --> 01:03:16,360 Speaker 1: the wild. People learn this through experience, and then they 1163 01:03:16,480 --> 01:03:21,160 Speaker 1: use the the the queue of processing fluency to to 1164 01:03:21,400 --> 01:03:23,880 Speaker 1: be the judge of whether something is familiar or not. 1165 01:03:24,800 --> 01:03:27,800 Speaker 1: And if it's familiar and they get that processing fluency 1166 01:03:27,800 --> 01:03:31,680 Speaker 1: bump it's easy to process, then they're more likely to 1167 01:03:31,680 --> 01:03:34,160 Speaker 1: believe it's true because that's what has worked for them 1168 01:03:34,160 --> 01:03:37,040 Speaker 1: in the past. And if this is true, Uncle Box says, 1169 01:03:37,360 --> 01:03:39,160 Speaker 1: I bet I could reverse it with a little bit 1170 01:03:39,160 --> 01:03:42,760 Speaker 1: of training, and he does. He's got an experiment where 1171 01:03:42,800 --> 01:03:46,000 Speaker 1: with a training phase he actually does three different experiments, 1172 01:03:46,320 --> 01:03:49,720 Speaker 1: and essentially what he does is that he trains people 1173 01:03:49,760 --> 01:03:52,560 Speaker 1: in a scenario where things that are easier to process, 1174 01:03:52,640 --> 01:03:55,800 Speaker 1: either because of being easier to read or because of 1175 01:03:55,880 --> 01:03:59,919 Speaker 1: repetition and familiarity. Either way, those things are more core 1176 01:04:00,040 --> 01:04:03,320 Speaker 1: related with the thing, with the thing being false, and 1177 01:04:03,360 --> 01:04:06,400 Speaker 1: when people get trained in sessions like that, they lose 1178 01:04:06,440 --> 01:04:09,720 Speaker 1: the effect. So the good takeaway there is that if 1179 01:04:09,720 --> 01:04:12,600 Speaker 1: he's correct, it would probably also mean that your susceptibility 1180 01:04:12,640 --> 01:04:15,760 Speaker 1: to the lusory truth effect is dependent on what kind 1181 01:04:15,840 --> 01:04:18,800 Speaker 1: of environment you've trained in, and that you could potentially 1182 01:04:19,280 --> 01:04:22,280 Speaker 1: untrain yourself on it. But that would be hard to 1183 01:04:22,320 --> 01:04:24,280 Speaker 1: do because we all live in this world all the 1184 01:04:24,280 --> 01:04:26,120 Speaker 1: time where most of the time people are telling us 1185 01:04:26,160 --> 01:04:28,760 Speaker 1: true things. Right, and and again, the brain is still 1186 01:04:28,800 --> 01:04:31,480 Speaker 1: going to need all of these shortcuts in order to 1187 01:04:31,640 --> 01:04:34,240 Speaker 1: function properly. Yeah, exactly, But you could just be using 1188 01:04:34,280 --> 01:04:36,800 Speaker 1: the opposite shortcut, Like if you live in a world 1189 01:04:36,800 --> 01:04:40,000 Speaker 1: where people lie to you all the time, Uncle Bock's 1190 01:04:40,040 --> 01:04:42,440 Speaker 1: results here would suggest that you would eventually adapt to 1191 01:04:42,480 --> 01:04:45,280 Speaker 1: this and you would instead become exactly the opposite. New 1192 01:04:45,320 --> 01:04:48,000 Speaker 1: claims you've never heard before would seem more true to you, 1193 01:04:48,080 --> 01:04:50,840 Speaker 1: and repeated claims that you're familiar with would seem like 1194 01:04:50,920 --> 01:04:53,440 Speaker 1: lies to you. Okay, so there's hope for us after all. Yeah, 1195 01:04:53,520 --> 01:04:55,920 Speaker 1: I mean, but we can't expect to live in a 1196 01:04:55,920 --> 01:04:57,440 Speaker 1: world like that, and we don't want to live in 1197 01:04:57,440 --> 01:04:59,320 Speaker 1: a world like like like that, Like you don't want 1198 01:04:59,320 --> 01:05:02,480 Speaker 1: to train your brain to live in a world where 1199 01:05:02,520 --> 01:05:06,200 Speaker 1: everything is assumed to be a lie. Oh and I 1200 01:05:06,680 --> 01:05:10,920 Speaker 1: surely somebody has has considered exploring this in fiction. It 1201 01:05:10,920 --> 01:05:13,320 Speaker 1: would be it would be a delicate affair to to 1202 01:05:13,320 --> 01:05:14,960 Speaker 1: really put it together and make it work on paper. 1203 01:05:15,040 --> 01:05:17,560 Speaker 1: But it's a world that I don't want to live in, 1204 01:05:17,600 --> 01:05:20,120 Speaker 1: but I kind of want to visit fictionally. Oh yeah, 1205 01:05:20,160 --> 01:05:21,840 Speaker 1: i'd go there with you. That that's a good one 1206 01:05:21,880 --> 01:05:24,439 Speaker 1: to to come back to. But just as a quick 1207 01:05:24,440 --> 01:05:27,520 Speaker 1: note before we close out today, I think this idea 1208 01:05:27,520 --> 01:05:30,520 Speaker 1: of processing fluency is a really interesting one. There's tons 1209 01:05:30,560 --> 01:05:33,400 Speaker 1: of research on it, Like, uh, there is a study 1210 01:05:33,440 --> 01:05:38,720 Speaker 1: I found by Sasha Topalinski from in Cognition and Emotion 1211 01:05:38,800 --> 01:05:42,520 Speaker 1: about how processing fluency affects how funny we find jokes 1212 01:05:43,120 --> 01:05:46,120 Speaker 1: that apparently, if a joke is easier to process, we've 1213 01:05:46,120 --> 01:05:49,640 Speaker 1: got high processing fluency on the joke. We think it's funnier. 1214 01:05:49,800 --> 01:05:51,960 Speaker 1: I guess it just like feels good to get it 1215 01:05:52,000 --> 01:05:55,680 Speaker 1: without with less effort or something. Uh So, there were 1216 01:05:55,760 --> 01:05:59,200 Speaker 1: multiple experiments, but basically here let me let me give 1217 01:05:59,200 --> 01:06:02,000 Speaker 1: you a quick preview. Gonna say a word, Robert, Peanuts. 1218 01:06:02,560 --> 01:06:05,640 Speaker 1: Do you like that word when you think about it? Peanuts? Peanuts? 1219 01:06:06,040 --> 01:06:08,040 Speaker 1: It's pretty good. It's it's not the funniest where it's 1220 01:06:08,080 --> 01:06:10,720 Speaker 1: no cheese. But but but I like it. Okay, I 1221 01:06:10,800 --> 01:06:13,240 Speaker 1: just said that word. So one example of this type 1222 01:06:13,240 --> 01:06:16,440 Speaker 1: of study would be if you prime somebody with significant 1223 01:06:16,560 --> 01:06:19,840 Speaker 1: nouns from the punch line of a joke fifteen minutes 1224 01:06:19,960 --> 01:06:22,720 Speaker 1: or even up to just one minute before you tell 1225 01:06:22,760 --> 01:06:27,400 Speaker 1: them the joke, people find the joke more hilarious. However, 1226 01:06:27,480 --> 01:06:29,760 Speaker 1: if you tell them a significant noun from the punch 1227 01:06:29,800 --> 01:06:33,080 Speaker 1: line immediately before the joke, they find the joke less funny, 1228 01:06:33,080 --> 01:06:35,080 Speaker 1: and the authors think this is probably just or the 1229 01:06:35,120 --> 01:06:37,920 Speaker 1: author thinks this is because if you tell them right 1230 01:06:37,960 --> 01:06:40,200 Speaker 1: before the joke, it sort of spoils the punch line. 1231 01:06:40,840 --> 01:06:45,120 Speaker 1: But knock, knock, who's there? Cash? Cash? Who? No? Thanks? 1232 01:06:45,160 --> 01:06:49,840 Speaker 1: I prefer peanuts. Ah See, it works, it's not not 1233 01:06:49,920 --> 01:06:52,880 Speaker 1: even but you already established peanuts, so it helped, right. 1234 01:06:53,120 --> 01:06:55,200 Speaker 1: I tried to let a minute or so elapse there. 1235 01:06:55,800 --> 01:06:58,080 Speaker 1: I don't know if it worked well. It's also complicated 1236 01:06:58,080 --> 01:07:00,280 Speaker 1: because we did bring up peanuts and peanut better earlier 1237 01:07:00,280 --> 01:07:02,640 Speaker 1: in the episode. I didn't even think about that, but 1238 01:07:02,920 --> 01:07:06,080 Speaker 1: this Actually I am not a student of of stand 1239 01:07:06,160 --> 01:07:09,760 Speaker 1: up comedy by any stretch of the imagination, but I 1240 01:07:09,840 --> 01:07:12,440 Speaker 1: watch enough stand up to see that just that that 1241 01:07:12,520 --> 01:07:15,360 Speaker 1: common structural tool that they use where you have the 1242 01:07:15,400 --> 01:07:18,080 Speaker 1: call back to a previous joke, and they'll often do 1243 01:07:18,120 --> 01:07:20,480 Speaker 1: it right at the end and then it's good night everybody. 1244 01:07:20,520 --> 01:07:23,720 Speaker 1: That's the high note. And it it's not even necessarily 1245 01:07:23,920 --> 01:07:27,400 Speaker 1: like a call back to their to the funniest moment 1246 01:07:27,400 --> 01:07:29,360 Speaker 1: in the bit or the funniest bit in the in 1247 01:07:29,600 --> 01:07:32,080 Speaker 1: the stand up performance, but just the fact that they've 1248 01:07:32,400 --> 01:07:36,600 Speaker 1: brought your mind back to it. It generates laughter, and 1249 01:07:36,640 --> 01:07:38,760 Speaker 1: it's the the moment to end the show. On Yeah. 1250 01:07:38,760 --> 01:07:42,360 Speaker 1: The theory is that it's it's very satisfying to have 1251 01:07:42,400 --> 01:07:45,240 Speaker 1: a joke that you've where you've been primed for the 1252 01:07:45,280 --> 01:07:49,040 Speaker 1: punch line already, because it's so much easier to get 1253 01:07:49,080 --> 01:07:52,680 Speaker 1: the punchline quickly and have that experience of familiarity in 1254 01:07:52,680 --> 01:07:55,640 Speaker 1: the yaha movement moment, because when you say a word 1255 01:07:56,040 --> 01:07:58,200 Speaker 1: and then you say the word again later, the second 1256 01:07:58,240 --> 01:08:00,680 Speaker 1: time you hear the word, you've been primed, like, you know, 1257 01:08:00,720 --> 01:08:03,320 Speaker 1: it's more fluid. So yeah, I think that may very 1258 01:08:03,320 --> 01:08:06,120 Speaker 1: well be going on with callbacks. Another part of the 1259 01:08:06,160 --> 01:08:09,120 Speaker 1: same study was that, like the studies we've been seeing before, 1260 01:08:09,200 --> 01:08:12,160 Speaker 1: jokes presented in an easy to read font were rated 1261 01:08:12,200 --> 01:08:14,800 Speaker 1: as funnier than jokes presented in a really hard to 1262 01:08:14,840 --> 01:08:18,720 Speaker 1: read font. That's kind of not surprising, but processing fluency 1263 01:08:18,840 --> 01:08:21,439 Speaker 1: it plays into all this stuff, like there is research 1264 01:08:21,479 --> 01:08:26,400 Speaker 1: about how opinions that are repeated more often, even just 1265 01:08:26,520 --> 01:08:29,599 Speaker 1: by a single person in a group, come to seem 1266 01:08:29,680 --> 01:08:32,000 Speaker 1: more prevalent in a group. So you've got ten people 1267 01:08:32,040 --> 01:08:34,280 Speaker 1: standing around, and then you've just got Jeff over here, 1268 01:08:34,560 --> 01:08:37,639 Speaker 1: and Jeff keeps saying the same opinion over and over again, 1269 01:08:37,680 --> 01:08:40,360 Speaker 1: even if you're aware it's just Jeff saying it in 1270 01:08:40,439 --> 01:08:42,720 Speaker 1: the end. If he does that, you will think that 1271 01:08:42,720 --> 01:08:45,920 Speaker 1: that opinion is more prevalent in the entire group the 1272 01:08:46,000 --> 01:08:48,360 Speaker 1: more people hold it. Well, that would make sense. You 1273 01:08:48,400 --> 01:08:51,120 Speaker 1: have one person in a group who say continually trashes 1274 01:08:51,200 --> 01:08:54,040 Speaker 1: on the movie Aliens. Oh no, why would that happen. 1275 01:08:54,080 --> 01:08:55,720 Speaker 1: I don't know, but let's say it it happens. You know, 1276 01:08:55,720 --> 01:08:57,280 Speaker 1: I could see where it could reach the point where 1277 01:08:57,280 --> 01:08:58,720 Speaker 1: you're kind of like, I don't really know how I 1278 01:08:58,720 --> 01:09:00,880 Speaker 1: feel about aliens now, but because I sure do here 1279 01:09:01,000 --> 01:09:04,360 Speaker 1: here Jeff uh talking trash about it all the time, 1280 01:09:04,520 --> 01:09:06,679 Speaker 1: or you could walk away from it being like, man, 1281 01:09:06,760 --> 01:09:09,639 Speaker 1: I don't understand all these people who hate aliens even 1282 01:09:09,680 --> 01:09:12,280 Speaker 1: though it's just one person. Yeah, that that seems to 1283 01:09:12,280 --> 01:09:14,960 Speaker 1: be something that would go on. Processing fluency also appears 1284 01:09:15,000 --> 01:09:17,360 Speaker 1: to have something to do with aesthetic pleasure. There's been 1285 01:09:17,400 --> 01:09:20,479 Speaker 1: a lot of research and theory about this that that's 1286 01:09:20,520 --> 01:09:24,599 Speaker 1: a major component of what feels aesthetically pleasing to us 1287 01:09:24,760 --> 01:09:28,760 Speaker 1: is based on what's easy to process. Another part is 1288 01:09:28,840 --> 01:09:32,519 Speaker 1: that processing fluencing fluency apparently affects how credible a face looks. 1289 01:09:33,160 --> 01:09:35,840 Speaker 1: Uh So, if are you going to believe somebody, Well, 1290 01:09:35,880 --> 01:09:38,799 Speaker 1: it turns out if their face is easier to process, 1291 01:09:38,880 --> 01:09:41,400 Speaker 1: especially because you've seen it a bunch of times before, 1292 01:09:41,560 --> 01:09:43,400 Speaker 1: you're more likely to believe it. Even if they're not 1293 01:09:43,479 --> 01:09:46,000 Speaker 1: famous and they're not somebody you know, they're not like 1294 01:09:46,040 --> 01:09:48,840 Speaker 1: somebody you've had experience with that you can you know, 1295 01:09:48,960 --> 01:09:52,200 Speaker 1: judge their credibility. Just random faces shown to you in 1296 01:09:52,240 --> 01:09:54,880 Speaker 1: different sessions of an experiment. If you've seen them before, 1297 01:09:55,000 --> 01:09:57,920 Speaker 1: they're more credible. Of course, that reminds me of various 1298 01:09:57,960 --> 01:10:02,519 Speaker 1: experiments over the years involving the believability of people with beards, 1299 01:10:02,840 --> 01:10:07,120 Speaker 1: people with facial hair or beards harder to process they have. 1300 01:10:07,400 --> 01:10:09,200 Speaker 1: I have not looked into it recently, so I don't 1301 01:10:09,200 --> 01:10:11,720 Speaker 1: know if there are any more recent studies that that 1302 01:10:11,760 --> 01:10:14,120 Speaker 1: that crack this nut. But but there there have been 1303 01:10:14,160 --> 01:10:15,680 Speaker 1: studies that have looked out in the past where they 1304 01:10:15,680 --> 01:10:17,600 Speaker 1: make the argument that, yes, an individual with the with 1305 01:10:17,640 --> 01:10:19,680 Speaker 1: the beard, you're going to have a little more distrust 1306 01:10:19,840 --> 01:10:23,240 Speaker 1: towards them. Well, obviously nobody should trust me. Well, no, 1307 01:10:23,360 --> 01:10:26,680 Speaker 1: we trust you because we know you. Joe, Yeah, do 1308 01:10:26,720 --> 01:10:29,120 Speaker 1: you really? Do you ever really know someone? Well, I'll 1309 01:10:29,120 --> 01:10:31,080 Speaker 1: tell you one thing I know, and that's peanuts stuff. 1310 01:10:32,880 --> 01:10:34,680 Speaker 1: You got me. You got me there, you made me 1311 01:10:34,800 --> 01:10:38,439 Speaker 1: laugh and my joke didn't make you laugh. Okay, Okay, 1312 01:10:38,479 --> 01:10:40,479 Speaker 1: So we gotta wrap up there. We've gone long here, 1313 01:10:40,520 --> 01:10:43,120 Speaker 1: but so we'll be back in the next episode to 1314 01:10:43,160 --> 01:10:45,600 Speaker 1: explore more recent findings and some of the ways that 1315 01:10:45,680 --> 01:10:49,200 Speaker 1: the illusory truth effect really does matter in our in 1316 01:10:49,240 --> 01:10:53,040 Speaker 1: our political and social world. Um. But so main takeaways 1317 01:10:53,040 --> 01:10:56,320 Speaker 1: I would say today is that the illusory truth effect 1318 01:10:56,400 --> 01:10:59,479 Speaker 1: is real. Exposure and repetition really does change our beliefs. 1319 01:10:59,760 --> 01:11:03,920 Speaker 1: The lusory truth effect is small, meaning it doesn't automatically 1320 01:11:04,000 --> 01:11:08,280 Speaker 1: overwhelm other criteria in our decision making and judgment. In fact, 1321 01:11:08,280 --> 01:11:10,360 Speaker 1: in many cases it appears that whether or not a 1322 01:11:10,400 --> 01:11:13,960 Speaker 1: statement is actually true is more important to our judgment 1323 01:11:13,960 --> 01:11:16,800 Speaker 1: than whether or not it's repeated or made easier to read, 1324 01:11:16,920 --> 01:11:21,000 Speaker 1: or any of these other processing fluency boosts. But on average, 1325 01:11:21,000 --> 01:11:23,240 Speaker 1: over lots of repetitions, it's easy to see how this 1326 01:11:23,280 --> 01:11:25,560 Speaker 1: could have a big effect, especially when you bring it 1327 01:11:25,600 --> 01:11:29,280 Speaker 1: back to propaganda purposes on things we believe as a society, 1328 01:11:29,400 --> 01:11:33,080 Speaker 1: things that shift voting patterns in small but significant ways 1329 01:11:33,160 --> 01:11:34,880 Speaker 1: and stuff like that. Yeah, that's the key. That it's 1330 01:11:34,880 --> 01:11:38,360 Speaker 1: not occurring within a vacuum. It's uh, it's it's it's 1331 01:11:38,520 --> 01:11:42,320 Speaker 1: affecting and being affected by all these other um mental 1332 01:11:42,360 --> 01:11:46,360 Speaker 1: processes and UH and factors that are affecting our decision 1333 01:11:46,360 --> 01:11:49,559 Speaker 1: making and worldview totally. But we will get more into 1334 01:11:49,600 --> 01:11:52,519 Speaker 1: that in our next episode. In the meantime, be sure 1335 01:11:52,520 --> 01:11:54,280 Speaker 1: to check out all the episodes of Stuff to Blow 1336 01:11:54,280 --> 01:11:56,479 Speaker 1: Your Mind at stuff to Blow your Mind dot com. 1337 01:11:56,520 --> 01:11:59,720 Speaker 1: That is the mothership. That is where you will find everything, 1338 01:11:59,840 --> 01:12:02,840 Speaker 1: as well as links out to our verious social media accounts. 1339 01:12:03,080 --> 01:12:05,280 Speaker 1: If you want to support the show, we always urge 1340 01:12:05,280 --> 01:12:08,840 Speaker 1: you to leave us a positive review, leave us some 1341 01:12:09,000 --> 01:12:11,760 Speaker 1: stars or whatever the rating system is. Just rate and 1342 01:12:11,760 --> 01:12:15,160 Speaker 1: review us wherever possible. Big thanks as always to our 1343 01:12:15,200 --> 01:12:18,640 Speaker 1: excellent audio producers Alex Williams and Tory Harrison. If you 1344 01:12:18,640 --> 01:12:20,080 Speaker 1: would like to get in touch with us to let 1345 01:12:20,120 --> 01:12:22,120 Speaker 1: us know your feedback on this episode or any other, 1346 01:12:22,400 --> 01:12:24,680 Speaker 1: or to let us know a topic you'd like us 1347 01:12:24,680 --> 01:12:26,679 Speaker 1: to cover in a future episode, you can always email 1348 01:12:26,800 --> 01:12:29,599 Speaker 1: us at blow the Mind at how stuff works dot 1349 01:12:29,640 --> 01:12:41,280 Speaker 1: com for more on this and thousands of other topics. 1350 01:12:41,520 --> 01:13:02,080 Speaker 1: Is it how stuff Works dot Com was first time 1351 01:13:02,160 --> 01:13:03,519 Speaker 1: a US bad by a brother