1 00:00:06,580 --> 00:00:09,139 Speaker 1: Hey, welcome to Stuff to Blow Your Mind. My name 2 00:00:09,200 --> 00:00:12,869 Speaker 1: is Robert Lamb. Today we have a Buffer Week Vault 3 00:00:12,930 --> 00:00:16,410 Speaker 1: episode for you. We are gathering our strength. We are 4 00:00:16,470 --> 00:00:20,370 Speaker 1: preparing for the October ahead, and we're going to try 5 00:00:20,390 --> 00:00:24,390 Speaker 1: and put out a whole lot of excellent Halloween content. 6 00:00:24,430 --> 00:00:26,550 Speaker 1: So get excited for that. And today we're going to 7 00:00:26,590 --> 00:00:29,050 Speaker 1: let you have it with The Devil You Know Part 1. 8 00:00:29,050 --> 00:00:31,300 Speaker 1: It originally published 8-26-2025. 9 00:00:32,479 --> 00:00:32,940 Speaker 2: Let's do it. 10 00:00:36,640 --> 00:00:47,010 Speaker 1: Welcome to Stuff to Blow Your Mind, a production of iHeartRadio. Hey, 11 00:00:47,050 --> 00:00:49,150 Speaker 1: welcome to Stuff to Blow Your Mind. My name is 12 00:00:49,190 --> 00:00:49,650 Speaker 1: Robert Lamb. 13 00:00:50,310 --> 00:00:52,910 Speaker 2: And I'm Joe McCormick. And in today's episode, we're going 14 00:00:52,930 --> 00:00:55,630 Speaker 2: to begin a series in which we look at a 15 00:00:55,710 --> 00:01:00,850 Speaker 2: phenomenon studied in psychology, economics, and decision theory, which is 16 00:01:00,910 --> 00:01:08,200 Speaker 2: called ambiguity aversion. Ambiguity aversion is when we prefer risks 17 00:01:08,380 --> 00:01:13,940 Speaker 2: with known probabilities over risks with unknown probabilities. Even if 18 00:01:13,980 --> 00:01:16,970 Speaker 2: you have no reason for thinking that the unknown risks 19 00:01:17,050 --> 00:01:20,110 Speaker 2: will be worse than the known risks. And we'll get 20 00:01:20,130 --> 00:01:23,590 Speaker 2: to some concrete examples and foundational research on this in 21 00:01:23,630 --> 00:01:26,470 Speaker 2: a bit. But to an approximation, a good way to 22 00:01:26,490 --> 00:01:31,500 Speaker 2: think about this is that ambiguity aversion is the sentiment 23 00:01:31,660 --> 00:01:35,320 Speaker 2: expressed in the saying, better the devil you know than 24 00:01:35,360 --> 00:01:38,440 Speaker 2: the devil you don't. This is an aphorism I feel 25 00:01:38,459 --> 00:01:41,880 Speaker 2: like people often quote when they're about to justify making 26 00:01:41,940 --> 00:01:46,699 Speaker 2: a really bad or indefensible decision. And the whole point 27 00:01:46,880 --> 00:01:49,640 Speaker 2: of this saying is that the devil you know is 28 00:01:49,700 --> 00:01:53,550 Speaker 2: already bad. That's usually implied. And there's no indication that 29 00:01:53,580 --> 00:01:56,250 Speaker 2: the devil you don't know will be worse. It could 30 00:01:56,290 --> 00:02:00,010 Speaker 2: well be a kinder, gentler devil with a less pointy pitchfork. 31 00:02:00,470 --> 00:02:05,190 Speaker 2: But still, we often find ourselves thinking, I'd just rather 32 00:02:05,270 --> 00:02:07,350 Speaker 2: stick with the one where I know how pointy it 33 00:02:07,410 --> 00:02:08,090 Speaker 2: is up front. 34 00:02:08,830 --> 00:02:11,390 Speaker 1: Yeah, it's often a form of indecision. Like, okay, I 35 00:02:11,430 --> 00:02:14,910 Speaker 1: refuse to do anything about the current devil situation. But, 36 00:02:14,930 --> 00:02:18,579 Speaker 1: you know, at least I know this devil. Next devil 37 00:02:18,620 --> 00:02:20,120 Speaker 1: could be worse. I don't want a worse devil. 38 00:02:20,600 --> 00:02:23,540 Speaker 2: That's right. This is another one of those aphorisms. We 39 00:02:23,560 --> 00:02:26,820 Speaker 2: were talking about this just recently in the St. Swithin episode. 40 00:02:26,840 --> 00:02:29,990 Speaker 2: It's one of these aphorisms that I think is only 41 00:02:30,160 --> 00:02:34,730 Speaker 2: wisdom given certain assumptions or conditions that are not really 42 00:02:34,790 --> 00:02:37,650 Speaker 2: part of the saying. Like, as stated, it could be 43 00:02:37,750 --> 00:02:41,049 Speaker 2: purely terrible advice. Like, what if the devil you know 44 00:02:41,130 --> 00:02:43,450 Speaker 2: is really bad? Right. And what if going with the 45 00:02:43,490 --> 00:02:45,570 Speaker 2: devil you don't know gives you a really good shot 46 00:02:45,620 --> 00:02:49,320 Speaker 2: at improving your stay in hell? But also, I think 47 00:02:50,000 --> 00:02:52,560 Speaker 2: it does have a kind of wisdom if you don't 48 00:02:52,700 --> 00:02:55,800 Speaker 2: think of it as advice, but rather as an ironic 49 00:02:55,900 --> 00:02:59,060 Speaker 2: observation about human nature, in which case I think it's 50 00:02:59,090 --> 00:03:01,870 Speaker 2: sort of dead on. This is often how we think. 51 00:03:02,270 --> 00:03:05,490 Speaker 2: And that is the core observation also of the ambiguity 52 00:03:05,630 --> 00:03:06,650 Speaker 2: aversion literature. 53 00:03:07,010 --> 00:03:07,290 Speaker 1: Yeah. 54 00:03:07,340 --> 00:03:07,470 Speaker 2: Yeah. 55 00:03:07,560 --> 00:03:09,739 Speaker 1: And I mean, because you can also also ask, well, 56 00:03:10,020 --> 00:03:11,739 Speaker 1: what if we just didn't have a devil? Is that 57 00:03:11,800 --> 00:03:13,600 Speaker 1: on the table? Can we just not have a devil? 58 00:03:13,660 --> 00:03:16,100 Speaker 1: Why do we have to worry about the devil we 59 00:03:16,180 --> 00:03:19,459 Speaker 1: have versus the devil we don't have yet? It's you know, 60 00:03:19,480 --> 00:03:22,160 Speaker 1: it can be. And I guess it's rather condemning of 61 00:03:22,220 --> 00:03:25,380 Speaker 1: human nature in that aspect as well, where the answer is, well, 62 00:03:25,400 --> 00:03:27,720 Speaker 1: you got to have a devil. We're humans. We make 63 00:03:27,760 --> 00:03:29,900 Speaker 1: our own and you've got to have one in play. 64 00:03:30,080 --> 00:03:32,040 Speaker 2: You should have thought of that before you double parked, Rob. 65 00:03:32,220 --> 00:03:32,419 Speaker 1: Yeah. 66 00:03:32,620 --> 00:03:34,030 Speaker 2: Now you're here in hell with the rest of us. 67 00:03:34,620 --> 00:03:37,500 Speaker 1: There's a rather keen Chinese saying that goes along these 68 00:03:37,540 --> 00:03:41,560 Speaker 1: lines as well. It's a well-known idiom that states that it's, quote, 69 00:03:41,740 --> 00:03:44,380 Speaker 1: easy to dodge the spear in the open, hard to 70 00:03:44,440 --> 00:03:45,880 Speaker 1: avoid a stab in the dark. 71 00:03:46,410 --> 00:03:50,290 Speaker 2: Oh, that's interesting because, yeah, that's the same idea. Like, 72 00:03:50,530 --> 00:03:54,950 Speaker 2: it isn't necessarily true in all circumstances. Like, in the dark, 73 00:03:55,010 --> 00:03:57,940 Speaker 2: the person stabbing at you also can't see you very well. 74 00:03:58,470 --> 00:04:00,300 Speaker 2: So it might be hard to dodge, but it's also 75 00:04:00,360 --> 00:04:02,720 Speaker 2: hard for them to hit you. But in the dark... 76 00:04:02,930 --> 00:04:05,570 Speaker 2: You just don't really know. You don't really know what's 77 00:04:05,620 --> 00:04:09,260 Speaker 2: going on. So it just seems scarier. Yeah, absolutely. 78 00:04:09,780 --> 00:04:12,100 Speaker 1: And it reminds me a bit of another Chinese saying, 79 00:04:12,580 --> 00:04:15,380 Speaker 1: better to be a dog in times of tranquility than 80 00:04:15,420 --> 00:04:18,320 Speaker 1: a human in times of chaos. And this has some 81 00:04:18,350 --> 00:04:21,790 Speaker 1: of the same sentiments as a 14th century Islamic saying 82 00:04:21,950 --> 00:04:26,450 Speaker 1: that is sometimes misattributed as being of Chinese origin itself. 83 00:04:26,770 --> 00:04:29,330 Speaker 1: And that is better a century of tyranny than one 84 00:04:29,390 --> 00:04:30,130 Speaker 1: day of chaos. 85 00:04:31,240 --> 00:04:33,140 Speaker 2: Also don't know if I actually agree with that. 86 00:04:33,660 --> 00:04:37,900 Speaker 1: Well, I don't know. I think about it a lot 87 00:04:39,240 --> 00:04:44,500 Speaker 1: for various reasons. And I do agree with the basic 88 00:04:44,700 --> 00:04:49,320 Speaker 1: sentiment of it when you find yourself dipping into chaos. 89 00:04:50,300 --> 00:04:53,159 Speaker 1: And I'm not talking about like capital C chaos, like 90 00:04:53,240 --> 00:04:56,110 Speaker 1: absolute chaos, but these little moments of chaos and disorder, 91 00:04:56,500 --> 00:04:59,510 Speaker 1: you can easily line yourself up with the idea of like, well, yeah, 92 00:04:59,550 --> 00:05:03,690 Speaker 1: this is why people you know, fall for tyranny. This 93 00:05:03,710 --> 00:05:06,859 Speaker 1: is because they have these moments of chaos and uncertainty, 94 00:05:06,920 --> 00:05:09,520 Speaker 1: and they're like, well, I would just rather have this 95 00:05:09,560 --> 00:05:13,100 Speaker 1: sort of known top-down oppression in place rather than some 96 00:05:13,140 --> 00:05:15,640 Speaker 1: sort of ambiguous chaos bubbling up around me. 97 00:05:16,000 --> 00:05:19,760 Speaker 2: Better something that's definitely bad than something I don't understand 98 00:05:19,820 --> 00:05:20,640 Speaker 2: and can't predict. 99 00:05:21,100 --> 00:05:25,040 Speaker 1: Yeah. Now, ambiguity and chaos, we should note here, are 100 00:05:25,160 --> 00:05:28,380 Speaker 1: not the same thing. Ambiguity is a lack of clarity, 101 00:05:28,760 --> 00:05:31,810 Speaker 1: while chaos is a state of disorder. And the former 102 00:05:31,870 --> 00:05:34,830 Speaker 1: may well lead into the other. And chaos may be 103 00:05:34,910 --> 00:05:38,750 Speaker 1: seen as a state of absolute ambiguity and uncertainty as well. 104 00:05:38,770 --> 00:05:41,440 Speaker 1: So in that respect, it becomes even more difficult when 105 00:05:41,450 --> 00:05:45,260 Speaker 1: we try and weigh chaos and ambiguity in our concerns 106 00:05:45,300 --> 00:05:46,000 Speaker 1: about the future. 107 00:05:46,339 --> 00:05:49,380 Speaker 2: I was trying to think of familiar everyday examples of 108 00:05:49,540 --> 00:05:54,700 Speaker 2: ambiguity aversion. And I think I came across one internally 109 00:05:54,960 --> 00:05:59,770 Speaker 2: in the now commonly acknowledged sentiment of not wanting to 110 00:05:59,810 --> 00:06:03,610 Speaker 2: go out and try anything, you know, that, so like, um, 111 00:06:03,990 --> 00:06:07,349 Speaker 2: do you ever find yourself trying to find a way 112 00:06:07,470 --> 00:06:11,190 Speaker 2: to avoid going through an experience that is new and 113 00:06:11,290 --> 00:06:15,190 Speaker 2: unfamiliar and thus unpredictable to you? So it seems like, 114 00:06:15,210 --> 00:06:17,060 Speaker 2: I don't know, it just seems kind of fraught like 115 00:06:17,120 --> 00:06:20,400 Speaker 2: a hassle. And instead of doing that, choosing to have 116 00:06:20,460 --> 00:06:23,080 Speaker 2: an experience that you pretty much know that you will 117 00:06:23,120 --> 00:06:24,359 Speaker 2: probably not enjoy. 118 00:06:24,380 --> 00:06:29,930 Speaker 1: Uh, yeah. Yeah, I think I know what you're saying here. Yeah, 119 00:06:29,970 --> 00:06:35,190 Speaker 1: I mean, life is perpetually a situation where it's like, 120 00:06:35,250 --> 00:06:37,610 Speaker 1: am I going to stick with what's comfortable or am 121 00:06:37,730 --> 00:06:39,790 Speaker 1: I going to say yes to adventure? Am I going 122 00:06:39,810 --> 00:06:45,690 Speaker 1: to try something new? And I often find myself at 123 00:06:45,730 --> 00:06:48,810 Speaker 1: the crossroads of that moment because there's a huge part 124 00:06:48,870 --> 00:06:50,830 Speaker 1: of me that doesn't want to try new things. And 125 00:06:51,830 --> 00:06:56,120 Speaker 1: I get anxious about the various experiences aligned with those 126 00:06:56,180 --> 00:06:59,170 Speaker 1: kinds of quests. But on the other hand, I have 127 00:06:59,210 --> 00:07:03,020 Speaker 1: to recognize that most of the really fulfilling things in 128 00:07:03,060 --> 00:07:05,680 Speaker 1: my life have been because I said yes to adventure 129 00:07:05,700 --> 00:07:08,460 Speaker 1: and because I took a chance on something and I 130 00:07:08,860 --> 00:07:12,380 Speaker 1: went out of my comfort zone. But then again, we 131 00:07:12,420 --> 00:07:14,660 Speaker 1: call it our comfort zone because it is comfortable. It 132 00:07:14,720 --> 00:07:18,210 Speaker 1: is a nice place. It is a comforting place. So 133 00:07:18,250 --> 00:07:18,950 Speaker 1: it's give and take. 134 00:07:19,310 --> 00:07:22,030 Speaker 2: Yes, I think that's absolutely correct. But I think the 135 00:07:22,070 --> 00:07:24,910 Speaker 2: really weird thing is that sometimes your, quote, comfort zone 136 00:07:25,070 --> 00:07:28,870 Speaker 2: isn't comfortable. I mean, sometimes we prefer... an experience that's 137 00:07:29,010 --> 00:07:31,530 Speaker 2: not even very nice. It's just like something that we 138 00:07:31,570 --> 00:07:34,570 Speaker 2: know we won't like, but it's just, you know, it's familiar. 139 00:07:34,630 --> 00:07:36,920 Speaker 2: We at least know what we're getting with it over 140 00:07:36,980 --> 00:07:39,980 Speaker 2: something that is just question marks. Right, right. 141 00:07:40,300 --> 00:07:45,760 Speaker 1: We'll choose a known okayness over a potentially amazing experience. 142 00:07:46,290 --> 00:07:50,500 Speaker 2: So, One of the most important early writings on ambiguity 143 00:07:50,540 --> 00:07:54,480 Speaker 2: aversion is a classic paper in the Quarterly Journal of 144 00:07:54,560 --> 00:08:00,320 Speaker 2: Economics from 1961 by the American economist, whistleblower, and political 145 00:08:00,420 --> 00:08:05,180 Speaker 2: activist Daniel Ellsberg. The paper was called Risk, Ambiguity, and 146 00:08:05,200 --> 00:08:09,190 Speaker 2: the Savage Axioms. That's Savage with a capital S. That's 147 00:08:09,230 --> 00:08:12,290 Speaker 2: a person's name. It's not describing the axioms as savage. 148 00:08:13,680 --> 00:08:16,320 Speaker 2: And just to go ahead and mention it now, because 149 00:08:16,380 --> 00:08:19,380 Speaker 2: I also use this as a source in writing about 150 00:08:19,740 --> 00:08:24,060 Speaker 2: Ellsberg and this paper's impact. I was also reading a 151 00:08:24,180 --> 00:08:28,580 Speaker 2: paper called Ambiguity and Ambiguity Aversion in the Handbook of 152 00:08:28,620 --> 00:08:31,880 Speaker 2: the Economics of Risk and Uncertainty. This is by Mark J. 153 00:08:31,940 --> 00:08:37,920 Speaker 2: Machina and Marciano Siniscalchi, published by North Holland in 2014. 154 00:08:37,920 --> 00:08:40,790 Speaker 2: This is a sort of general overview of the concept 155 00:08:40,830 --> 00:08:43,630 Speaker 2: of ambiguity aversion and a survey of a bunch of 156 00:08:43,650 --> 00:08:46,630 Speaker 2: different models of it. Now, before we get into the 157 00:08:46,690 --> 00:08:49,990 Speaker 2: idea that Ellsberg explored in this very important paper, Rob, 158 00:08:50,090 --> 00:08:51,890 Speaker 2: you had a bit of bio on Ellsberg, didn't you? 159 00:08:52,550 --> 00:08:57,740 Speaker 1: Yeah, yeah. Daniel Ellsberg, quite an interesting fellow, lived 1931 160 00:08:57,740 --> 00:09:03,360 Speaker 1: through 2023. In addition to Ellsberg's paradox, which we're getting 161 00:09:03,400 --> 00:09:07,260 Speaker 1: into here, He is he's also famous, perhaps more so 162 00:09:07,320 --> 00:09:10,980 Speaker 1: in a general sense, as the Rand Corporation employee who 163 00:09:11,040 --> 00:09:13,580 Speaker 1: photocopied and released what would come to be known as 164 00:09:13,620 --> 00:09:17,400 Speaker 1: the Pentagon Papers. This is a United States Department of 165 00:09:17,420 --> 00:09:21,130 Speaker 1: Defense history of the U.S. 's political and military involvement 166 00:09:21,170 --> 00:09:24,030 Speaker 1: in Vietnam from 1945 through 1968. 167 00:09:24,740 --> 00:09:26,980 Speaker 2: The key point being that Ellsberg believed that getting these 168 00:09:27,020 --> 00:09:30,780 Speaker 2: papers out there was important in informing the public about 169 00:09:31,220 --> 00:09:33,580 Speaker 2: things that they didn't know about how the Vietnam War 170 00:09:33,620 --> 00:09:36,319 Speaker 2: was being prosecuted and represented. Right, right. 171 00:09:36,360 --> 00:09:40,230 Speaker 1: It was very much a whistleblowing act on Ellsberg's part. 172 00:09:41,020 --> 00:09:43,610 Speaker 1: And these papers were published by The New York Times 173 00:09:43,809 --> 00:09:47,489 Speaker 1: in 1971. This would be a decade after the publication 174 00:09:47,530 --> 00:09:51,860 Speaker 1: regarding the Ellsberg paradox. And yeah, they detailed secretive elements 175 00:09:51,940 --> 00:09:54,980 Speaker 1: about the scope of the U.S. military efforts in Vietnam, 176 00:09:55,340 --> 00:09:59,330 Speaker 1: the real sticking points being the deception involving the Gulf 177 00:09:59,370 --> 00:10:02,780 Speaker 1: of Tonkin and unreported expansion of the war, the true 178 00:10:02,820 --> 00:10:07,880 Speaker 1: objective of the war post-1965, which basically was more about 179 00:10:08,300 --> 00:10:11,590 Speaker 1: containing China and preventing a humiliating U.S. defeat rather than 180 00:10:11,809 --> 00:10:17,089 Speaker 1: any specific objectives to help the people of Vietnam, and 181 00:10:17,130 --> 00:10:19,470 Speaker 1: the lack of a clear plan for victory as well. 182 00:10:20,340 --> 00:10:21,720 Speaker 1: So I imagine a lot of you have at least 183 00:10:21,840 --> 00:10:24,100 Speaker 1: heard of the Pentagon Papers, even if you're not familiar 184 00:10:24,140 --> 00:10:28,050 Speaker 1: with the full story, because this incident, this led to 185 00:10:28,270 --> 00:10:33,630 Speaker 1: conspiracy and espionage charges against Ellsberg that were then later dismissed, 186 00:10:34,470 --> 00:10:37,910 Speaker 1: greatly fueled the anti-war movement, as well as distrust in 187 00:10:37,929 --> 00:10:40,740 Speaker 1: the government at the time, and led to the Nixon 188 00:10:40,770 --> 00:10:43,460 Speaker 1: White House's use of the infamous White House plumbers to 189 00:10:43,500 --> 00:10:46,040 Speaker 1: discredit Ellsberg. And of course, all of this ends up 190 00:10:46,080 --> 00:10:49,099 Speaker 1: feeding into the Watergate scandal, which is another one of 191 00:10:49,160 --> 00:10:53,010 Speaker 1: those major historical touchstones from the time period that, again, 192 00:10:53,070 --> 00:10:55,770 Speaker 1: if you're not super familiar with Watergate, you've at least 193 00:10:56,170 --> 00:10:59,250 Speaker 1: heard of Watergate and you've heard about the other, you know, 194 00:10:59,309 --> 00:11:03,209 Speaker 1: different gates out there that allude back to what a 195 00:11:03,250 --> 00:11:03,929 Speaker 1: scandal it was. 196 00:11:05,090 --> 00:11:06,860 Speaker 2: Now everything gets a gate suffix. 197 00:11:07,179 --> 00:11:11,860 Speaker 1: Right. No matter how deserving or undeserving. Now, Ellsberg remained 198 00:11:11,900 --> 00:11:16,900 Speaker 1: an outspoken activist and whistleblower throughout his life, particularly regarding 199 00:11:16,960 --> 00:11:20,960 Speaker 1: the U.S. 's military actions under multiple presidents, including the 200 00:11:21,300 --> 00:11:24,610 Speaker 1: current one, the Russian invasion of Ukraine, and also in 201 00:11:24,660 --> 00:11:28,350 Speaker 1: support of various other whistleblowers. He was a vocal opponent 202 00:11:28,730 --> 00:11:32,370 Speaker 1: of the use and the threat of nuclear weapons and 203 00:11:32,410 --> 00:11:36,090 Speaker 1: the rhetoric around their use. And he is sometimes described 204 00:11:36,230 --> 00:11:40,370 Speaker 1: as a nuclear war planner turned nuclear war activist. And 205 00:11:40,429 --> 00:11:44,150 Speaker 1: his work at the Rand Corporation, did involve such contemplations. 206 00:11:44,570 --> 00:11:46,910 Speaker 2: Yeah, I think a big part of his pitch in 207 00:11:46,980 --> 00:11:51,140 Speaker 2: his anti-war and anti-nuclear weapons activism was like, look, I've 208 00:11:51,260 --> 00:11:54,840 Speaker 2: been there where the power players are executing, you know, 209 00:11:54,880 --> 00:11:58,580 Speaker 2: global military and nuclear strategy. You should be worried. This is, 210 00:11:58,960 --> 00:12:00,080 Speaker 2: things are not okay. 211 00:12:01,000 --> 00:12:04,840 Speaker 1: Yeah, one of his major overarching criticisms of nuclear weapons, 212 00:12:04,920 --> 00:12:07,060 Speaker 1: and I feel like we're probably preaching to the choir 213 00:12:07,340 --> 00:12:08,800 Speaker 1: on this one. I can't imagine we have any big 214 00:12:09,179 --> 00:12:12,850 Speaker 1: nuclear war fans out there. was that their use as 215 00:12:12,890 --> 00:12:16,380 Speaker 1: a deterrent, one of the major positive spins that are 216 00:12:16,420 --> 00:12:21,020 Speaker 1: often given about having a vast nuclear arsenal, this idea 217 00:12:21,120 --> 00:12:24,740 Speaker 1: of the nuclear deterrent was itself highly unreliable and unstable. 218 00:12:25,120 --> 00:12:29,679 Speaker 1: There were simply too many variables, human, technological, situational, that 219 00:12:29,720 --> 00:12:35,250 Speaker 1: could lead to not only catastrophic, but existential unintended consequences. 220 00:12:35,970 --> 00:12:38,010 Speaker 2: Yeah, too many ways for it to go wrong. And 221 00:12:38,050 --> 00:12:40,510 Speaker 2: if it does go wrong, the consequences are too great. 222 00:12:41,059 --> 00:12:43,400 Speaker 1: By the way, Ellsberg has been portrayed, I believe, twice 223 00:12:43,700 --> 00:12:46,449 Speaker 1: in major motion pictures, once by James Spader and once 224 00:12:46,500 --> 00:12:47,370 Speaker 1: by Matthew Rhys. 225 00:12:57,730 --> 00:13:01,550 Speaker 2: So coming back to the Ellsberg paper from 1961, again, 226 00:13:01,570 --> 00:13:04,250 Speaker 2: that's Risk, Ambiguity, and the Savage Axioms. This is the 227 00:13:04,290 --> 00:13:06,630 Speaker 2: really important one. I looked it up. I think it 228 00:13:06,670 --> 00:13:10,550 Speaker 2: had like, I don't know... like tens of thousands of citations. 229 00:13:10,570 --> 00:13:14,890 Speaker 2: This is like a very, very famous and influential economics paper. 230 00:13:15,590 --> 00:13:19,250 Speaker 2: In this paper, he illustrates the idea of ambiguity aversion 231 00:13:19,330 --> 00:13:22,810 Speaker 2: with a number of thought experiments, and this is one 232 00:13:22,850 --> 00:13:28,130 Speaker 2: of them. So this is the three-color urn. Imagine that 233 00:13:28,210 --> 00:13:31,130 Speaker 2: there's an urn, like a jar, that is filled with 234 00:13:31,130 --> 00:13:34,930 Speaker 2: 90 little ping pong balls that are a mix of 235 00:13:34,970 --> 00:13:38,740 Speaker 2: different colors. You cannot see inside the urn. It's opaque. 236 00:13:38,860 --> 00:13:40,960 Speaker 2: But you're going to play a game where you reach 237 00:13:41,020 --> 00:13:43,490 Speaker 2: into the urn and you pull out one ball at 238 00:13:43,520 --> 00:13:46,590 Speaker 2: a time. And you can win prizes based on the 239 00:13:46,670 --> 00:13:49,729 Speaker 2: color of the ball that you pull out. You know 240 00:13:49,830 --> 00:13:53,270 Speaker 2: that 30 of the balls inside the urn are red. 241 00:13:53,690 --> 00:13:56,050 Speaker 2: So since 30 out of 90 are red, there's a 242 00:13:56,050 --> 00:13:58,750 Speaker 2: 1 in 3 chance that a random ball is going 243 00:13:58,770 --> 00:14:01,160 Speaker 2: to be red. The odds there are pretty clear. The 244 00:14:01,320 --> 00:14:05,380 Speaker 2: other 60 balls, however, are a mix of yellow and black. 245 00:14:05,740 --> 00:14:08,740 Speaker 2: And here's the really important part. You don't know the 246 00:14:08,800 --> 00:14:13,000 Speaker 2: composition of that group. So those 60 balls could be 247 00:14:13,000 --> 00:14:16,359 Speaker 2: 30 yellow and 30 black. It could be 60 yellow 248 00:14:16,420 --> 00:14:19,800 Speaker 2: and 0 black. It could be 60 black and 0 yellow, 249 00:14:20,290 --> 00:14:23,910 Speaker 2: or any mix in between. Since you don't know the mix, 250 00:14:24,290 --> 00:14:27,410 Speaker 2: you don't know the probability of drawing a yellow ball 251 00:14:27,630 --> 00:14:30,130 Speaker 2: or a black ball ahead of time. For red, it's 252 00:14:30,130 --> 00:14:34,120 Speaker 2: 1 in 3. For either yellow or black, it's question marks, 253 00:14:34,240 --> 00:14:37,800 Speaker 2: anywhere between 0 and 2 out of 3. Now imagine 254 00:14:37,820 --> 00:14:40,020 Speaker 2: it is your turn to draw a ball out of 255 00:14:40,060 --> 00:14:42,860 Speaker 2: the urn, and you can take one of two bets. 256 00:14:43,520 --> 00:14:47,620 Speaker 2: Bet A, you get $ 100 if your ball is red. 257 00:14:47,840 --> 00:14:50,110 Speaker 2: So if you pick this option, your chance of winning 258 00:14:50,110 --> 00:14:50,950 Speaker 2: $ 100 is 1 in 3. In bet B, you get 259 00:14:50,950 --> 00:14:53,390 Speaker 2: $ 100 if your ball is black. Since you don't know 260 00:14:53,450 --> 00:15:01,590 Speaker 2: the mix of yellow and black, You don't know your 261 00:15:01,670 --> 00:15:05,450 Speaker 2: odds of winning, but they are somewhere between 0 and 262 00:15:05,450 --> 00:15:08,290 Speaker 2: 2 out of 3, with the midpoint being 1 out 263 00:15:08,310 --> 00:15:10,480 Speaker 2: of 3, which is the same as the odds on red. 264 00:15:11,410 --> 00:15:12,250 Speaker 2: Which one do you pick? 265 00:15:13,060 --> 00:15:16,400 Speaker 1: Well, it sounds like bet A is the truer thing, right? 266 00:15:17,120 --> 00:15:19,440 Speaker 2: If somebody offered me this game, I would probably pick 267 00:15:19,480 --> 00:15:22,120 Speaker 2: bet A. Yeah, it just seems safer. It's like, OK, 268 00:15:22,240 --> 00:15:23,930 Speaker 2: I know what I'm dealing with there, 1 in 3. 269 00:15:23,920 --> 00:15:27,340 Speaker 2: The other option, your odds could be better than 1 270 00:15:27,340 --> 00:15:28,980 Speaker 2: in 3, but you just don't know. 271 00:15:29,660 --> 00:15:31,100 Speaker 1: They could be worse. It could be zero. 272 00:15:31,580 --> 00:15:33,840 Speaker 2: They could be worse, could be better. You have no 273 00:15:33,880 --> 00:15:38,540 Speaker 2: way of knowing either way. Ellsberg suggested, and later experiments 274 00:15:38,640 --> 00:15:43,040 Speaker 2: would empirically demonstrate, that most people would bet on red 275 00:15:43,180 --> 00:15:47,150 Speaker 2: instead of black, even though there is no objective reason 276 00:15:47,210 --> 00:15:50,550 Speaker 2: to think that red is a better bet. Following the 277 00:15:50,590 --> 00:15:54,010 Speaker 2: pick red strategy will not necessarily earn you more money 278 00:15:54,050 --> 00:15:56,970 Speaker 2: in this game, but people really do, in fact, just 279 00:15:57,150 --> 00:16:00,770 Speaker 2: like it better to pick red. It feels right. That's 280 00:16:00,810 --> 00:16:03,690 Speaker 2: just what we think we should do. That in itself 281 00:16:03,870 --> 00:16:06,410 Speaker 2: is kind of weird and interesting. Like, why do we 282 00:16:06,470 --> 00:16:10,700 Speaker 2: prefer to avoid ambiguity even when there is no clear 283 00:16:10,760 --> 00:16:14,400 Speaker 2: advantage in doing so? Then there's a really interesting wrinkle. 284 00:16:14,840 --> 00:16:17,300 Speaker 2: Imagine you're playing the same game. You are drawing a 285 00:16:17,480 --> 00:16:21,600 Speaker 2: ball out of an urn. And this time you're given 286 00:16:21,620 --> 00:16:24,440 Speaker 2: assurance that the mix of the balls is the same 287 00:16:24,500 --> 00:16:26,660 Speaker 2: as it was the first time. So whatever was the 288 00:16:26,700 --> 00:16:29,520 Speaker 2: case with With the mix of yellow and black in there, 289 00:16:29,920 --> 00:16:31,400 Speaker 2: it's going to be the same as it was with 290 00:16:31,420 --> 00:16:33,520 Speaker 2: your last draw. And you get a chance to make 291 00:16:33,560 --> 00:16:37,230 Speaker 2: a second bet. You can take either bet C, where 292 00:16:37,250 --> 00:16:40,650 Speaker 2: you get $ 100 if the ball drawn out is either 293 00:16:40,990 --> 00:16:45,810 Speaker 2: yellow or red. And this one has an unknown chance 294 00:16:45,850 --> 00:16:48,120 Speaker 2: of winning because, of course, you don't know how many 295 00:16:48,160 --> 00:16:50,730 Speaker 2: yellow or black balls there are. You know that your 296 00:16:50,770 --> 00:16:53,910 Speaker 2: chance of winning is somewhere between 1 and 3 if 297 00:16:54,010 --> 00:16:56,380 Speaker 2: there are, you know, the 30 red balls and 0 298 00:16:56,380 --> 00:16:59,900 Speaker 2: yellow balls, or 100% if there are 60 yellow balls. 299 00:17:00,580 --> 00:17:05,000 Speaker 2: Or you can take bet D, where you get $ 100 300 00:17:03,940 --> 00:17:07,060 Speaker 2: if the ball is either yellow or black. This one 301 00:17:07,119 --> 00:17:11,070 Speaker 2: has a guaranteed two-thirds chance to win, because we know 302 00:17:11,160 --> 00:17:14,210 Speaker 2: that together yellow and black make 60 of the 90 balls, 303 00:17:14,270 --> 00:17:17,050 Speaker 2: though we don't know what the mix is. In this 304 00:17:17,090 --> 00:17:21,869 Speaker 2: second trial... People will tend to pick bet D, once again, 305 00:17:21,950 --> 00:17:25,109 Speaker 2: because the probabilities are known. With D, it's a guaranteed 306 00:17:25,150 --> 00:17:28,910 Speaker 2: two-thirds chance to win. With bet C, it's somewhere between 307 00:17:28,910 --> 00:17:33,620 Speaker 2: 1 and 3 and 100%. Picking bet D allows them 308 00:17:33,660 --> 00:17:39,780 Speaker 2: to avoid placing bet C, which has ambiguous chances. Here's 309 00:17:39,820 --> 00:17:44,020 Speaker 2: the really interesting thing that Ellsberg pointed out. There's actually 310 00:17:44,220 --> 00:17:48,729 Speaker 2: a contradiction in people's behavior between between the first and 311 00:17:48,810 --> 00:17:52,350 Speaker 2: second round of this game. Assuming you are actually doing 312 00:17:52,369 --> 00:17:55,310 Speaker 2: your best to win the money, in round one, if 313 00:17:55,350 --> 00:17:58,570 Speaker 2: you bet on red instead of black, that implies you 314 00:17:58,630 --> 00:18:02,590 Speaker 2: believe that less than 30 of the unknown 60 balls 315 00:18:02,830 --> 00:18:06,280 Speaker 2: are black, right? That implies that red has a better 316 00:18:06,320 --> 00:18:09,080 Speaker 2: chance of winning. So less than half of them have 317 00:18:09,119 --> 00:18:12,040 Speaker 2: to be black. However, in the second round, if you 318 00:18:12,080 --> 00:18:15,760 Speaker 2: take the second option, picking yellow and black, it implies 319 00:18:15,820 --> 00:18:18,949 Speaker 2: that you think that more than 30 of the unknown 320 00:18:19,010 --> 00:18:22,669 Speaker 2: balls are black. Otherwise, the red and yellow combination option 321 00:18:23,030 --> 00:18:27,430 Speaker 2: would have the better chance of winning, right? These two 322 00:18:27,490 --> 00:18:33,810 Speaker 2: bets in combination make no sense because they imply self-contradictory beliefs. 323 00:18:35,250 --> 00:18:37,970 Speaker 2: It says that I believe that more balls are black 324 00:18:38,310 --> 00:18:41,890 Speaker 2: and less balls are black at the same time. Obviously, 325 00:18:41,990 --> 00:18:45,270 Speaker 2: that can't really be the case. But there could be 326 00:18:45,410 --> 00:18:49,929 Speaker 2: another issue driving this behavior, which is simply that people 327 00:18:50,310 --> 00:18:55,030 Speaker 2: don't like ambiguity and they will pay up for known odds, 328 00:18:55,270 --> 00:19:00,780 Speaker 2: even if doing so implies mutually exclusive assumptions. I was 329 00:19:00,820 --> 00:19:02,740 Speaker 2: trying to think, you know, as I said a minute ago, 330 00:19:02,780 --> 00:19:05,419 Speaker 2: I think I would probably pick red if given the 331 00:19:05,520 --> 00:19:09,260 Speaker 2: option to play this game. Obviously, I sort of already 332 00:19:09,300 --> 00:19:10,920 Speaker 2: knew the deal here, so I can't know what I 333 00:19:10,960 --> 00:19:14,389 Speaker 2: would do going into it blind like most people. But 334 00:19:14,430 --> 00:19:18,080 Speaker 2: I think I would, for no rational reason, prefer the 335 00:19:18,359 --> 00:19:23,260 Speaker 2: uncertainty-reducing options. I think the most likely reason for that is, 336 00:19:23,960 --> 00:19:26,460 Speaker 2: even if I were given assurances that this game was 337 00:19:26,540 --> 00:19:30,320 Speaker 2: on the up-and-up, I would suspect some kind of trick. Like, 338 00:19:30,380 --> 00:19:33,800 Speaker 2: if I'm being asked to bet on uncertainty, there's some 339 00:19:33,920 --> 00:19:37,260 Speaker 2: part of me that just kind of rises up and says, uh-uh, 340 00:19:37,380 --> 00:19:39,459 Speaker 2: there's a scam here that you are not seeing. 341 00:19:39,700 --> 00:19:42,240 Speaker 1: Yeah, yeah. I mean, you'd kind of expect that within the... 342 00:19:43,080 --> 00:19:46,680 Speaker 1: constraints of a testing environment, and you'd definitely expect that 343 00:19:46,859 --> 00:19:50,920 Speaker 1: out of the world. Whatever form this was taking, you'd 344 00:19:50,940 --> 00:19:54,900 Speaker 1: assume that somebody had a vested interest in manipulating how 345 00:19:54,960 --> 00:19:56,959 Speaker 1: you were going to behave to the, how you're going 346 00:19:56,980 --> 00:19:58,470 Speaker 1: to respond to the two possibilities. 347 00:19:58,810 --> 00:20:01,409 Speaker 2: Yeah. Ellsberg also in this paper, by the way, he 348 00:20:01,450 --> 00:20:03,669 Speaker 2: came up with a second illustration of the same principle. 349 00:20:03,690 --> 00:20:06,280 Speaker 2: So if you go reading about this You'll read about 350 00:20:06,300 --> 00:20:09,460 Speaker 2: the three-color urn and then the two-urn experiment. The second 351 00:20:09,480 --> 00:20:12,620 Speaker 2: illustration used two urns instead of one because it made 352 00:20:12,640 --> 00:20:17,930 Speaker 2: the contradiction between the different bets even clearer. And this 353 00:20:18,170 --> 00:20:24,250 Speaker 2: self-contradictory behavior is now called the Ellsberg paradox. Ellsberg himself 354 00:20:24,290 --> 00:20:26,560 Speaker 2: didn't call it that. That's what other people, they put 355 00:20:26,600 --> 00:20:31,960 Speaker 2: his name on it. Anyway, Ellsberg's paper about ambiguity aversion says, 356 00:20:33,020 --> 00:20:36,440 Speaker 2: was not just about observing a weird little quirk of 357 00:20:36,500 --> 00:20:40,840 Speaker 2: human behavior. It was especially of interest to the fields 358 00:20:40,880 --> 00:20:45,719 Speaker 2: of economics and decision theory, modeling how people make decisions, 359 00:20:46,359 --> 00:20:50,040 Speaker 2: because it sought to undermine some of the major underpinnings 360 00:20:50,420 --> 00:20:55,369 Speaker 2: of the fields, specifically providing evidence against some of the 361 00:20:55,440 --> 00:21:00,720 Speaker 2: tenets of a framework called Subjective Expected Utility Theory, or 362 00:21:00,920 --> 00:21:05,660 Speaker 2: Savage's Axioms, named after the American mathematician Leonard Savage, who 363 00:21:05,760 --> 00:21:11,080 Speaker 2: formulated them. Subjective Expected Utility Theory, or SCU theory, is 364 00:21:11,100 --> 00:21:15,960 Speaker 2: a way of modeling how people make decisions when we 365 00:21:16,020 --> 00:21:20,000 Speaker 2: don't have perfect or complete information, which of course in 366 00:21:20,060 --> 00:21:22,899 Speaker 2: life we rarely do, right? So, you know, this is 367 00:21:22,920 --> 00:21:25,300 Speaker 2: going to be relevant in understanding how people behave in 368 00:21:25,400 --> 00:21:29,700 Speaker 2: most real-world situations, most situations in life are not a 369 00:21:29,800 --> 00:21:32,740 Speaker 2: casino table game where you have known odds of winning. 370 00:21:33,320 --> 00:21:35,459 Speaker 1: That's right. Or, you know, or, you know, you can 371 00:21:35,480 --> 00:21:38,300 Speaker 1: easily imagine to a situation where you're, you're playing some 372 00:21:38,320 --> 00:21:40,300 Speaker 1: sort of a game, be it a tabletop role playing 373 00:21:40,340 --> 00:21:42,879 Speaker 1: game or some sort of like a, you know, video game. 374 00:21:43,200 --> 00:21:46,560 Speaker 1: And you're given a choice between two items for your character, right? You, 375 00:21:46,859 --> 00:21:49,280 Speaker 1: you have the stats of those items right there. You know, 376 00:21:49,320 --> 00:21:51,379 Speaker 1: what kind of enemies you go up against in the game. 377 00:21:51,400 --> 00:21:54,090 Speaker 1: Maybe you've played through the game before you have something 378 00:21:54,130 --> 00:21:59,190 Speaker 1: at least approaching perfect knowledge. of a simplified world, and 379 00:21:59,359 --> 00:22:01,939 Speaker 1: our real world is not so simplified, and there are 380 00:22:01,960 --> 00:22:03,040 Speaker 1: so many variables to it. 381 00:22:03,600 --> 00:22:07,399 Speaker 2: Exactly right. So the real world, we're constantly dealing with uncertainty, 382 00:22:07,619 --> 00:22:10,500 Speaker 2: ambiguous situations where we don't have all the information to 383 00:22:10,560 --> 00:22:13,580 Speaker 2: judge what outcomes are most likely, and yet somehow we 384 00:22:13,640 --> 00:22:17,810 Speaker 2: navigate this world making decisions all the time. The question 385 00:22:18,390 --> 00:22:21,669 Speaker 2: being addressed here is, how do people make those decisions 386 00:22:21,750 --> 00:22:24,830 Speaker 2: when they don't actually know what the relative likelihood of 387 00:22:24,869 --> 00:22:30,080 Speaker 2: different outcomes are? Subjective expected utility theory has several rules, 388 00:22:30,119 --> 00:22:34,160 Speaker 2: but a simplified version is that it says even when 389 00:22:34,260 --> 00:22:38,740 Speaker 2: people don't know the objective likelihood of an outcome, they 390 00:22:38,800 --> 00:22:43,240 Speaker 2: form beliefs about how likely that outcome is. And then 391 00:22:43,260 --> 00:22:47,140 Speaker 2: they act consistently with those beliefs in order to maximize 392 00:22:47,200 --> 00:22:51,010 Speaker 2: their personal benefit. I came across a passage by the 393 00:22:51,030 --> 00:22:54,870 Speaker 2: American economist Frank Knight, which I think summarizes this idea well. 394 00:22:55,930 --> 00:22:59,149 Speaker 2: Knight writes, quote, We must observe at the outset that 395 00:22:59,210 --> 00:23:03,949 Speaker 2: when an individual instance, i.e. a one-time event, only is 396 00:23:04,050 --> 00:23:06,930 Speaker 2: at issue, there is no difference for conduct between a 397 00:23:07,010 --> 00:23:12,520 Speaker 2: measurable risk and an unmeasurable uncertainty. The individual, as already observed, 398 00:23:12,660 --> 00:23:15,560 Speaker 2: throws his estimate of the value of an opinion into 399 00:23:15,619 --> 00:23:19,780 Speaker 2: the probability form of A successes in B trials, A 400 00:23:19,859 --> 00:23:24,080 Speaker 2: slash B being a proper fraction, and feels toward it 401 00:23:24,460 --> 00:23:28,870 Speaker 2: as toward any other probability situation. So we essentially, we 402 00:23:29,970 --> 00:23:33,630 Speaker 2: form a belief or a feeling about how likely something is, 403 00:23:34,030 --> 00:23:36,430 Speaker 2: and then we act as if that was like, you know, 404 00:23:36,690 --> 00:23:39,590 Speaker 2: that we know the odds of a coin flip coming 405 00:23:39,650 --> 00:23:41,970 Speaker 2: up heads are one in two, whether or not we're 406 00:23:42,010 --> 00:23:46,550 Speaker 2: actually right about those feelings or beliefs. Ellsberg used the 407 00:23:46,570 --> 00:23:51,950 Speaker 2: principle of ambiguity aversion to say, actually, no, people do 408 00:23:52,090 --> 00:23:55,850 Speaker 2: not always behave as if they have consistent beliefs about 409 00:23:55,930 --> 00:23:58,889 Speaker 2: what is more or less likely to happen. And you 410 00:23:58,910 --> 00:24:02,450 Speaker 2: can prove this because they make bets that would imply 411 00:24:02,690 --> 00:24:07,990 Speaker 2: self-contradictory beliefs in the same situation, meaning they either don't 412 00:24:08,170 --> 00:24:11,930 Speaker 2: actually have or act on consistent beliefs about a situation, 413 00:24:12,600 --> 00:24:16,820 Speaker 2: or they don't always act to maximize their own monetary benefit. 414 00:24:17,460 --> 00:24:22,280 Speaker 2: Ellsberg's point here was that we can have obscure previously 415 00:24:22,460 --> 00:24:27,970 Speaker 2: unacknowledged motivations like the desire to avoid dealing with ambiguity. 416 00:24:28,530 --> 00:24:32,410 Speaker 2: And that particular desire is so strong in some cases 417 00:24:32,510 --> 00:24:36,449 Speaker 2: that it overrides our consistent thinking and a simple dollar 418 00:24:36,510 --> 00:24:40,960 Speaker 2: value understanding of rational self-interest. Uh, and by the way, 419 00:24:41,130 --> 00:24:44,129 Speaker 2: the technical name of the savage axiom that Ellsberg was 420 00:24:44,170 --> 00:24:46,940 Speaker 2: attacking here was it's called the sure thing principle. Uh, 421 00:24:48,720 --> 00:24:51,959 Speaker 2: Another thing to understand about Ellsberg's paper was that he 422 00:24:52,010 --> 00:24:56,030 Speaker 2: was arguing that we need to make a stronger distinction 423 00:24:56,070 --> 00:25:02,640 Speaker 2: between two different concepts. Those are risk and ambiguity. Ellsberg 424 00:25:02,740 --> 00:25:05,800 Speaker 2: used the definition that risk is when we have a 425 00:25:05,840 --> 00:25:09,440 Speaker 2: stake in an outcome and we know the theoretical likelihood 426 00:25:09,480 --> 00:25:12,379 Speaker 2: of that outcome. So this is like the casino games 427 00:25:12,440 --> 00:25:15,209 Speaker 2: or a coin toss. A fair coin toss is 50-50. 428 00:25:15,270 --> 00:25:18,929 Speaker 2: We know what the outcome likelihood is and we can 429 00:25:18,950 --> 00:25:21,810 Speaker 2: take a risk. A fair die roll is one in 430 00:25:21,869 --> 00:25:25,629 Speaker 2: six to get a particular number. Ambiguity is when we 431 00:25:25,800 --> 00:25:29,300 Speaker 2: don't have an objective way of knowing what the probability 432 00:25:29,340 --> 00:25:33,300 Speaker 2: of our desired outcome is. To Ellsberg, ambiguity was, quote, 433 00:25:33,520 --> 00:25:37,439 Speaker 2: the nature of one's information concerning the relative likelihood of events, 434 00:25:37,940 --> 00:25:49,930 Speaker 2: a quality depending on the amount, And so it's worth 435 00:25:50,010 --> 00:25:53,010 Speaker 2: noting that you can have confidence or even what feels 436 00:25:53,050 --> 00:25:56,290 Speaker 2: like certainty or act as if you have confidence or 437 00:25:56,330 --> 00:25:59,650 Speaker 2: certainty without actually being correct. You can go through life 438 00:25:59,690 --> 00:26:04,470 Speaker 2: having high confidence in objectively low probability things. One of 439 00:26:04,510 --> 00:26:09,090 Speaker 2: the actually really useful things about SCU theories, the subjective 440 00:26:09,130 --> 00:26:13,260 Speaker 2: expected utility theory, was that it made things simple and 441 00:26:13,410 --> 00:26:18,480 Speaker 2: easier to understand because it treated risk and ambiguity the same. 442 00:26:19,080 --> 00:26:22,260 Speaker 2: So a person making bets on a die roll will 443 00:26:22,380 --> 00:26:25,139 Speaker 2: know that the probability of rolling a specific number is 444 00:26:25,260 --> 00:26:28,290 Speaker 2: one in six and they will behave accordingly. And a 445 00:26:28,310 --> 00:26:30,590 Speaker 2: person who has a stake in an outcome with an 446 00:26:30,910 --> 00:26:37,940 Speaker 2: unknown probability will, according to Savage's axioms, mentally, even subconsciously, 447 00:26:38,480 --> 00:26:42,520 Speaker 2: form an internal belief about the probability of that outcome. 448 00:26:43,280 --> 00:26:46,719 Speaker 2: So example is you imagine there is a one in 449 00:26:46,800 --> 00:26:50,219 Speaker 2: four chance it's going to rain today. That might not 450 00:26:50,280 --> 00:26:52,600 Speaker 2: have anything to do with reality, but you just take 451 00:26:52,660 --> 00:26:56,350 Speaker 2: that belief on. And you behave as if that is 452 00:26:56,470 --> 00:26:59,300 Speaker 2: that you make all of your decisions based on that belief. 453 00:26:59,420 --> 00:27:02,340 Speaker 2: They will act according to that belief the same way 454 00:27:02,380 --> 00:27:05,340 Speaker 2: they would act to knowing that a coin flip is 50-50. 455 00:27:06,040 --> 00:27:09,960 Speaker 2: And Ellsberg argued, no, that is not how we make decisions. 456 00:27:10,240 --> 00:27:14,660 Speaker 2: SCU theory with Savage's axioms failed to account for other 457 00:27:14,720 --> 00:27:18,990 Speaker 2: complexities in human behavior. For example, our deep desire to 458 00:27:19,109 --> 00:27:23,470 Speaker 2: get away from ambiguity. We don't like ambiguity so strongly 459 00:27:23,490 --> 00:27:27,650 Speaker 2: that We will make decisions that imply self-contradictory beliefs just 460 00:27:27,710 --> 00:27:29,669 Speaker 2: to avoid it. Now, there have been a lot of 461 00:27:29,750 --> 00:27:34,690 Speaker 2: arguments over the years about how to interpret ambiguity aversion. 462 00:27:35,330 --> 00:27:39,810 Speaker 2: Is it actually rational in ways that were not previously recognized? 463 00:27:40,390 --> 00:27:43,730 Speaker 2: Or is it more like some kind of systematic error 464 00:27:43,930 --> 00:27:47,550 Speaker 2: or cognitive bias? We might come back and revisit that 465 00:27:47,590 --> 00:27:51,179 Speaker 2: debate in the subsequent part of the series. But we've 466 00:27:51,200 --> 00:27:54,980 Speaker 2: got a couple other things we wanted to talk about today. First, Rob, 467 00:27:55,020 --> 00:27:57,119 Speaker 2: I know you have a really interesting place you want 468 00:27:57,140 --> 00:27:58,939 Speaker 2: to take this. But first, I wanted to mention the 469 00:27:58,980 --> 00:28:04,020 Speaker 2: idea just of experimental confirmation, because one important thing to 470 00:28:04,040 --> 00:28:07,619 Speaker 2: understand is that Ellsberg's original paper did not have an 471 00:28:07,680 --> 00:28:11,120 Speaker 2: experimental component. It was a thought experiment. And he realized 472 00:28:11,160 --> 00:28:14,429 Speaker 2: the phenomenon needed to be tested with real human subjects. 473 00:28:15,070 --> 00:28:17,770 Speaker 2: In the decades since his paper, it has been tested many, 474 00:28:17,810 --> 00:28:22,440 Speaker 2: many times, many different ways. And generally, it has proved robust. 475 00:28:23,220 --> 00:28:28,370 Speaker 2: There are some nuances and exceptions, but generally people behave 476 00:28:28,410 --> 00:28:31,710 Speaker 2: the way Ellsberg predicted they would. A majority of people 477 00:28:32,130 --> 00:28:36,070 Speaker 2: structure their choices to avoid ambiguity, even when there's no 478 00:28:36,210 --> 00:28:40,030 Speaker 2: clear objective benefit to doing so. And they even make 479 00:28:40,110 --> 00:28:44,740 Speaker 2: bets that would imply against self-contradictory beliefs, according to SCU theory. 480 00:28:45,210 --> 00:28:47,730 Speaker 2: if those bets can get them out of dealing with 481 00:28:47,810 --> 00:28:50,690 Speaker 2: ambiguous probabilities. So I don't have to mess with that. 482 00:28:52,190 --> 00:28:56,730 Speaker 2: Regarding those experiments, my main source here is, again, that 483 00:28:56,770 --> 00:29:02,890 Speaker 2: survey article by Machina and Siniscalchi. Again, that's Ambiguity and 484 00:29:03,010 --> 00:29:07,150 Speaker 2: Ambiguity Aversion from 2014. The authors here list a whole 485 00:29:07,190 --> 00:29:10,540 Speaker 2: bunch of experiments where people... carried out versions of like 486 00:29:10,560 --> 00:29:14,260 Speaker 2: the three color urn or this other experiment that Ellsberg described, 487 00:29:14,300 --> 00:29:18,820 Speaker 2: the two urn experiment. They list Fellner in 1961, which 488 00:29:18,880 --> 00:29:23,040 Speaker 2: found that people would rather take 50-50 odds than unknown odds, 489 00:29:23,100 --> 00:29:26,680 Speaker 2: which could be better or worse. They also cite Becker 490 00:29:26,720 --> 00:29:28,900 Speaker 2: and Brownson, 64, McCrimmon, 68, Slovik and Tversky from 1974, 491 00:29:28,900 --> 00:29:36,760 Speaker 2: Curley and Yates from 89, among others. all generally finding 492 00:29:36,800 --> 00:29:42,790 Speaker 2: confirmation of Ellsberg's predictions about ambiguity. aversion. Quote, Although most 493 00:29:42,850 --> 00:29:46,990 Speaker 2: of these experiments use students as subjects, researchers such as McCrimmon, 65, 494 00:29:46,970 --> 00:29:51,580 Speaker 2: Hogarth and Kuhnreuther, 89, Einhorn and Hogarth, 86, Viscousi and Chesson, 99, Ho, Keller, 495 00:29:51,640 --> 00:30:01,850 Speaker 2: and Kelticke, 2002 and Mafioletti and Centauri 2005 have examined 496 00:30:01,890 --> 00:30:07,110 Speaker 2: the ambiguity preferences of business owners, trade union leaders, actuaries, managers, 497 00:30:07,170 --> 00:30:10,830 Speaker 2: and executives with the same overall findings. So it appears 498 00:30:10,950 --> 00:30:15,940 Speaker 2: quite robust. The authors here also report some interesting findings 499 00:30:16,180 --> 00:30:20,540 Speaker 2: of McCrimmon and Larson from 79, which they looked into 500 00:30:20,620 --> 00:30:23,040 Speaker 2: it and they found that while the majority of people 501 00:30:23,360 --> 00:30:27,780 Speaker 2: did try to avoid ambiguity, some minority of people did 502 00:30:27,840 --> 00:30:31,800 Speaker 2: not and even just chose to embrace it. They also found, 503 00:30:32,260 --> 00:30:35,790 Speaker 2: as you might expect, that our relative tolerance for ambiguity 504 00:30:35,850 --> 00:30:39,410 Speaker 2: went up or down depending on how good the known 505 00:30:39,690 --> 00:30:44,090 Speaker 2: odds were in the known odds bet condition. So, for example, 506 00:30:44,130 --> 00:30:46,610 Speaker 2: if you do this three-color urn experiment, if you take 507 00:30:46,630 --> 00:30:48,880 Speaker 2: the number of red balls, that's the ones where you 508 00:30:48,920 --> 00:30:50,780 Speaker 2: know how many there are, if you take that down 509 00:30:50,840 --> 00:30:53,380 Speaker 2: to zero or even just down to five or ten, 510 00:30:53,960 --> 00:30:57,400 Speaker 2: Most people will take the gamble with the unknown odds 511 00:30:57,480 --> 00:30:59,880 Speaker 2: on yellow and black because the odds on red are 512 00:30:59,960 --> 00:31:03,160 Speaker 2: clearly very bad. If you make the odds on red 513 00:31:03,260 --> 00:31:06,440 Speaker 2: really good, even more people will stick with the known 514 00:31:06,560 --> 00:31:09,640 Speaker 2: odds and ambiguity aversion becomes even stronger. So that shouldn't 515 00:31:09,660 --> 00:31:13,300 Speaker 2: be all that surprising. But yeah, in the middle category 516 00:31:13,360 --> 00:31:16,280 Speaker 2: where the odds on red are somewhere in between good 517 00:31:16,340 --> 00:31:19,260 Speaker 2: and bad. you're just kind of like, I don't know, 518 00:31:19,320 --> 00:31:22,860 Speaker 2: but still people tend to go for the known odds 519 00:31:22,940 --> 00:31:26,600 Speaker 2: rather than the unknown odds. However, the authors also found 520 00:31:26,700 --> 00:31:32,850 Speaker 2: that even when the idea of subjective expected utility and 521 00:31:32,920 --> 00:31:36,790 Speaker 2: choice consistency was explained to the people doing this experiment, 522 00:31:36,830 --> 00:31:39,830 Speaker 2: explained to the subjects, or even in cases where the 523 00:31:39,890 --> 00:31:45,310 Speaker 2: known odds were bad, some subjects just stubbornly stuck to 524 00:31:45,390 --> 00:31:50,140 Speaker 2: red and avoided betting on any ambiguous conditions so most 525 00:31:50,200 --> 00:31:54,580 Speaker 2: of us seem to dislike ambiguity in in the majority 526 00:31:54,600 --> 00:31:56,640 Speaker 2: of cases and some of us just don't like it 527 00:31:56,880 --> 00:32:09,600 Speaker 2: at all and will not tolerate it now as is 528 00:32:09,660 --> 00:32:12,840 Speaker 2: often the case with uh stuff in decision theory and, 529 00:32:13,060 --> 00:32:16,200 Speaker 2: and economics and stuff, you start off playing these little 530 00:32:16,240 --> 00:32:18,620 Speaker 2: like gambling games with like balls in a jar or 531 00:32:18,700 --> 00:32:20,650 Speaker 2: something like that. And so it seems like, well, how 532 00:32:20,730 --> 00:32:23,870 Speaker 2: consequential could this really be? But actually I think you 533 00:32:23,910 --> 00:32:27,370 Speaker 2: can take the idea of ambiguity aversion to, uh, to 534 00:32:27,790 --> 00:32:31,330 Speaker 2: number one, it has been applied to very consequential situations 535 00:32:31,490 --> 00:32:36,480 Speaker 2: in real life and thus understanding it can have major consequences, 536 00:32:36,560 --> 00:32:40,060 Speaker 2: not only for people's individual lives, but for world events. Yeah. 537 00:32:40,840 --> 00:32:44,420 Speaker 1: That's right. And that brings us back to Ellsberg, who, again, 538 00:32:44,740 --> 00:32:49,990 Speaker 1: in addition to crafting this highly influential paper, was also 539 00:32:51,150 --> 00:32:54,730 Speaker 1: a highly vocal critic of nuclear weapons and, again, the 540 00:32:54,790 --> 00:33:00,090 Speaker 1: rhetoric surrounding nuclear weapons. And I was reading a good 541 00:33:00,130 --> 00:33:02,690 Speaker 1: bit from his book, The Doomsday Machine, which came out 542 00:33:02,730 --> 00:33:05,280 Speaker 1: in 2012, which is quite a good read if you 543 00:33:05,300 --> 00:33:07,440 Speaker 1: want a much deeper dive into his thoughts on all 544 00:33:07,460 --> 00:33:12,900 Speaker 1: of this. But In that book, the subject of ambiguous 545 00:33:12,960 --> 00:33:17,520 Speaker 1: data comes up numerous times. How will a nuclear power 546 00:33:17,600 --> 00:33:22,740 Speaker 1: react in response to ambiguous data about a potential incoming attack? 547 00:33:23,540 --> 00:33:27,600 Speaker 1: And additionally, it talks about the purported advantage of ambiguity 548 00:33:27,740 --> 00:33:33,270 Speaker 1: in intent slash response, namely in the case of madman theory. 549 00:33:34,090 --> 00:33:38,510 Speaker 1: This is very closely associated with Richard Nixon, but also 550 00:33:38,590 --> 00:33:42,970 Speaker 1: tied to various other figures, domestic and international, including the 551 00:33:43,010 --> 00:33:48,210 Speaker 1: current U.S. president, a kind of supposed perceived madness or 552 00:33:48,270 --> 00:33:52,840 Speaker 1: volatility that would lead adversaries to second guess any plans 553 00:33:52,900 --> 00:33:53,800 Speaker 1: to move against them. 554 00:33:54,520 --> 00:33:57,020 Speaker 2: Right. And we're going to get to some major criticisms 555 00:33:57,140 --> 00:33:59,959 Speaker 2: of the madman theory strategy in a bit. But the 556 00:34:00,120 --> 00:34:04,460 Speaker 2: idea of it is that you can leverage a reputation 557 00:34:04,610 --> 00:34:08,950 Speaker 2: for unpredictability to your advantage in negotiations. 558 00:34:09,600 --> 00:34:11,680 Speaker 1: That's right. You know, this is very much the nobody 559 00:34:11,719 --> 00:34:15,250 Speaker 1: knows what I'm going to do approach. That's the message 560 00:34:15,290 --> 00:34:18,090 Speaker 1: you put out there. And the idea, part of the 561 00:34:18,170 --> 00:34:21,410 Speaker 1: idea here is that it makes logically empty or extreme 562 00:34:21,510 --> 00:34:23,530 Speaker 1: threats seem more possible. 563 00:34:23,820 --> 00:34:23,990 Speaker 2: Yeah. 564 00:34:24,360 --> 00:34:25,899 Speaker 1: Now, madman theory, we should point out, is a term 565 00:34:25,940 --> 00:34:29,040 Speaker 1: that Nixon even used himself when talking about this approach. 566 00:34:29,560 --> 00:34:32,040 Speaker 1: It was outlined by Daniel Ellsberg and Thomas C. Schelling 567 00:34:32,100 --> 00:34:36,560 Speaker 1: as well. But the basic concept Pretending to be erratic, irrational, 568 00:34:36,620 --> 00:34:39,560 Speaker 1: or unhinged to influence the other side of a bargaining table, 569 00:34:40,020 --> 00:34:42,989 Speaker 1: this goes back a long ways. Machiavelli wrote about it 570 00:34:43,219 --> 00:34:46,870 Speaker 1: in 1517, and it's probably as old as the first 571 00:34:46,910 --> 00:34:50,210 Speaker 1: prehistoric human to, like, go around hitting trees randomly with 572 00:34:50,250 --> 00:34:52,750 Speaker 1: a club, you know, and say, who knows what Thrag 573 00:34:52,810 --> 00:34:55,270 Speaker 1: is going to do? Why would you mess with Thrag 574 00:34:55,330 --> 00:34:55,609 Speaker 1: on this? 575 00:34:56,390 --> 00:34:58,420 Speaker 2: Yeah, we better just give Thrag what he wants. 576 00:34:58,820 --> 00:35:02,930 Speaker 1: Yeah. So, again, the Ellsberg paradox highlights a core flaw 577 00:35:03,010 --> 00:35:07,070 Speaker 1: in human decision making, the aversion to ambiguity. The madman 578 00:35:07,110 --> 00:35:10,370 Speaker 1: theory as a political strategy seeks to exploit this by 579 00:35:10,469 --> 00:35:15,509 Speaker 1: cultivating a reputation of irrationality, creating an ambiguous threat. The 580 00:35:15,610 --> 00:35:18,730 Speaker 1: adversary and their aversion to this ambiguity and the unknown 581 00:35:18,850 --> 00:35:23,850 Speaker 1: risk of an unpredictable response may be coerced into backing down. 582 00:35:23,890 --> 00:35:26,190 Speaker 1: Or at least this is the idea. This is the 583 00:35:26,290 --> 00:35:27,810 Speaker 1: logic behind the approach. 584 00:35:28,130 --> 00:35:31,489 Speaker 2: Yeah. The classic example of madman theory in practice in 585 00:35:31,550 --> 00:35:36,170 Speaker 2: real life is that the Nixon administration could, for example, 586 00:35:36,190 --> 00:35:40,649 Speaker 2: have Kissinger call up his counterparts in the Kremlin and say, look, 587 00:35:40,890 --> 00:35:42,870 Speaker 2: you know, we're all trying to calm Nixon down, but 588 00:35:42,910 --> 00:35:46,549 Speaker 2: he's boiling mad at you. He's borderline crazy. You've got 589 00:35:46,570 --> 00:35:48,390 Speaker 2: to do X, Y and Z. You know, you've got 590 00:35:48,410 --> 00:35:50,469 Speaker 2: to give him these concessions he wants or we don't 591 00:35:50,530 --> 00:35:52,129 Speaker 2: know if we'll be able to control him. 592 00:35:52,710 --> 00:35:54,669 Speaker 1: Yeah, kind of a good cop, bad cop thing, too, 593 00:35:54,710 --> 00:35:55,760 Speaker 1: I imagine. Yeah. 594 00:35:56,180 --> 00:35:59,540 Speaker 2: And this was a way of making I think a 595 00:35:59,580 --> 00:36:01,140 Speaker 2: big part of it was it was a way of 596 00:36:01,219 --> 00:36:04,989 Speaker 2: making the nuclear deterrent feel once again like it had 597 00:36:05,150 --> 00:36:09,110 Speaker 2: force in matters other than just deterring a first strike. 598 00:36:10,110 --> 00:36:13,570 Speaker 2: Because the problem with using nuclear weapons as leverage in 599 00:36:13,610 --> 00:36:18,410 Speaker 2: negotiation between two nuclear armed powers is obviously if the 600 00:36:18,450 --> 00:36:22,200 Speaker 2: weapons get used at all, everyone loses. There is not 601 00:36:22,239 --> 00:36:25,859 Speaker 2: a winner in mutually assured destruction. So if the White 602 00:36:25,900 --> 00:36:28,590 Speaker 2: House was trying to get the Kremlin to do something 603 00:36:28,650 --> 00:36:31,629 Speaker 2: like I'll nuke you if you don't do it, that 604 00:36:31,670 --> 00:36:35,210 Speaker 2: was not a credible threat because both parties knew that 605 00:36:35,250 --> 00:36:38,450 Speaker 2: the other party knows that war would be the destruction 606 00:36:38,469 --> 00:36:42,590 Speaker 2: of them both. So no rational actor would ever strike first. 607 00:36:43,070 --> 00:36:46,640 Speaker 2: Between rational actors, I'll nuke you if you don't do X, Y, 608 00:36:46,660 --> 00:36:50,220 Speaker 2: Z is an empty threat. The goal of madman theory 609 00:36:50,239 --> 00:36:54,319 Speaker 2: is is to gain leverage in negotiations by introducing some 610 00:36:54,360 --> 00:36:58,120 Speaker 2: amount of fear that your counterparty may not be a 611 00:36:58,160 --> 00:37:01,060 Speaker 2: rational actor. He might be crazy enough to do it. 612 00:37:01,160 --> 00:37:05,779 Speaker 2: We don't know. Therefore, the madman strategy makes direct use 613 00:37:05,980 --> 00:37:09,560 Speaker 2: of the opponent's ambiguity aversion as a tactic to get 614 00:37:09,660 --> 00:37:13,080 Speaker 2: leverage over them. The madman player in this game is 615 00:37:13,239 --> 00:37:17,120 Speaker 2: betting that the fear and uncertainty about how to handle 616 00:37:17,180 --> 00:37:21,920 Speaker 2: their unpredictability will cause their counterparty to make concessions they 617 00:37:21,960 --> 00:37:24,900 Speaker 2: might not make otherwise. Like, you end up thinking, well, 618 00:37:25,360 --> 00:37:27,839 Speaker 2: I'll just take a bad deal rather than wander into 619 00:37:27,900 --> 00:37:31,860 Speaker 2: territory with unclear levels of risk. Right, right. 620 00:37:31,969 --> 00:37:34,390 Speaker 1: And not to derail the point here, but I want 621 00:37:34,410 --> 00:37:38,450 Speaker 1: to bring it back to Ellsberg's other criticisms of nuclear 622 00:37:38,469 --> 00:37:41,430 Speaker 1: weapons and the rhetoric surrounding nuclear weapons, that being there's 623 00:37:41,450 --> 00:37:45,569 Speaker 1: all these other uncertainty factors and ambiguous data that would 624 00:37:45,610 --> 00:37:47,719 Speaker 1: be coming in about what the enemy is or is 625 00:37:47,780 --> 00:37:51,719 Speaker 1: not doing. And therefore, any given situation like this is 626 00:37:51,760 --> 00:37:55,580 Speaker 1: going to be just wrought with with potential ambiguity, potential 627 00:37:55,660 --> 00:37:58,820 Speaker 1: missteps and potential mistakes. So, like, if it were only 628 00:37:58,960 --> 00:38:01,339 Speaker 1: as easy as we're laying it out here, it would 629 00:38:01,360 --> 00:38:02,580 Speaker 1: almost be a different situation. 630 00:38:03,060 --> 00:38:06,860 Speaker 2: Totally. I mean, Ellsberg's point about the all of the 631 00:38:07,000 --> 00:38:11,419 Speaker 2: uncertainty in the actual command and control of, you know, 632 00:38:11,480 --> 00:38:16,790 Speaker 2: nuclear strategy like that's true. That introduces real levels of 633 00:38:16,950 --> 00:38:21,270 Speaker 2: existential risk into playing games like this. There are a 634 00:38:21,330 --> 00:38:24,330 Speaker 2: lot of reasonable criticisms of madman theory, but I think 635 00:38:24,370 --> 00:38:26,430 Speaker 2: a major one, at least from my point of view, 636 00:38:26,489 --> 00:38:30,650 Speaker 2: is that at best, it is a strategy for short 637 00:38:30,830 --> 00:38:34,710 Speaker 2: term gain at the expense of long term stability and 638 00:38:34,750 --> 00:38:39,339 Speaker 2: negotiating power, because one way or another. It undercuts your 639 00:38:39,400 --> 00:38:42,730 Speaker 2: credibility and your ability to be seen as an honest 640 00:38:42,790 --> 00:38:47,250 Speaker 2: and reliable broker in future negotiations, either because you come 641 00:38:47,350 --> 00:38:50,810 Speaker 2: to be seen as actually irrational, in which case people 642 00:38:50,850 --> 00:38:53,340 Speaker 2: don't want to deal with you and they will find 643 00:38:53,380 --> 00:38:57,400 Speaker 2: what they may be motivated to do something bad to 644 00:38:57,460 --> 00:38:59,920 Speaker 2: strike first to you because you're too dangerous to be 645 00:38:59,960 --> 00:39:03,680 Speaker 2: let loose, or they may try to find ways to 646 00:39:03,739 --> 00:39:07,020 Speaker 2: cut you out of negotiations. So that could be one consequence, 647 00:39:07,200 --> 00:39:09,840 Speaker 2: or just because you are revealed to have been bluffing, 648 00:39:09,880 --> 00:39:11,569 Speaker 2: in which case you lose your credibility. 649 00:39:12,120 --> 00:39:15,370 Speaker 1: Right, right. And yeah, this is all valid. I was 650 00:39:15,390 --> 00:39:18,190 Speaker 1: looking at a couple of papers on madman theory. And 651 00:39:18,510 --> 00:39:22,170 Speaker 1: madman theory, like ambiguity aversion itself, is something that has 652 00:39:22,510 --> 00:39:25,250 Speaker 1: been written about a lot. There are no shortage of 653 00:39:25,290 --> 00:39:27,890 Speaker 1: papers out there. But I looked at just a couple. 654 00:39:28,590 --> 00:39:31,290 Speaker 1: I looked at one titled Cravings. Like a Fox, Are 655 00:39:31,330 --> 00:39:34,930 Speaker 1: Leaders with Reputations for Madness More Successful at International Coercion? 656 00:39:35,370 --> 00:39:39,370 Speaker 1: by Roseanne W. McManus. This came out in 2019 from 657 00:39:39,469 --> 00:39:42,670 Speaker 1: Cambridge University Press. And in this, the author points out 658 00:39:43,050 --> 00:39:45,520 Speaker 1: that a reputation for madness is would seem to be 659 00:39:46,520 --> 00:39:50,910 Speaker 1: more often harmful than helpful in international coercion. So it 660 00:39:51,030 --> 00:39:56,730 Speaker 1: undercuts the leader's ability to make believable peace commitments, treaties, 661 00:39:56,850 --> 00:39:59,890 Speaker 1: and so forth, which, and it really almost feels absurd 662 00:39:59,910 --> 00:40:02,450 Speaker 1: that we need to stress this, these are all vital 663 00:40:02,630 --> 00:40:06,190 Speaker 1: for peaceful relations between nations. No one knows what I'll 664 00:40:06,230 --> 00:40:09,180 Speaker 1: do easily slides into no one knows what I'll honor. 665 00:40:09,360 --> 00:40:13,440 Speaker 1: No one knows what treaties I will actually stand by 666 00:40:13,500 --> 00:40:16,259 Speaker 1: and so forth. You know, to bring this back to 667 00:40:16,300 --> 00:40:18,160 Speaker 1: Dungeons and Dragons, I think any D & D player 668 00:40:18,180 --> 00:40:20,239 Speaker 1: worth their salt knows that while you might well enter 669 00:40:20,280 --> 00:40:23,760 Speaker 1: into a pact with a lawful evil devil, you never 670 00:40:23,820 --> 00:40:27,090 Speaker 1: enter into a pact with a chaotic evil demon because 671 00:40:27,120 --> 00:40:28,730 Speaker 1: the lords of the nine hell are going to stick 672 00:40:28,750 --> 00:40:30,810 Speaker 1: to their letter of the contract, if not the spirit 673 00:40:30,830 --> 00:40:34,250 Speaker 1: of the contract. But demon lords such as the Demogorgon 674 00:40:34,469 --> 00:40:38,469 Speaker 1: will honor nothing. And there is no coherence even within themselves. 675 00:40:38,510 --> 00:40:41,500 Speaker 1: They're just pure ambiguity. And you can't strike any sort 676 00:40:41,540 --> 00:40:43,920 Speaker 1: of deal because they won't they won't stand by it 677 00:40:43,960 --> 00:40:47,489 Speaker 1: no matter what. Whereas the devils being lawful evil, they 678 00:40:47,550 --> 00:40:50,709 Speaker 1: may look for that wiggle room. They may find ways to, 679 00:40:51,590 --> 00:40:54,029 Speaker 1: you know, to avoid the spirit of the deal, but 680 00:40:54,050 --> 00:40:55,300 Speaker 1: they're still bound to the letter. 681 00:40:55,700 --> 00:40:58,620 Speaker 2: Right. So if you think you discover that your counterparty 682 00:40:58,660 --> 00:41:01,239 Speaker 2: is actually just chaotic evil, all you can do is 683 00:41:01,260 --> 00:41:03,820 Speaker 2: roll for initiative. Like there's no making a deal. 684 00:41:04,040 --> 00:41:08,740 Speaker 1: Yeah. And then you slide into chaos, pure chaos. McManus, 685 00:41:09,160 --> 00:41:10,960 Speaker 1: back to her paper, though, she found that Mad Men 686 00:41:11,000 --> 00:41:14,919 Speaker 1: theory may be helpful in crisis bargaining, but only under 687 00:41:15,040 --> 00:41:20,400 Speaker 1: certain conditions, namely when employed by military weak leaders. So 688 00:41:20,420 --> 00:41:23,319 Speaker 1: we're not talking about a true superpower here that can 689 00:41:23,360 --> 00:41:27,640 Speaker 1: engage in like true mutually assured destruction. Rather, we would 690 00:41:27,700 --> 00:41:30,270 Speaker 1: be dealing with a state that could do a lot 691 00:41:30,310 --> 00:41:35,170 Speaker 1: of damage, but in striking out would just thoroughly destroy themselves. 692 00:41:35,739 --> 00:41:37,939 Speaker 1: So the idea here is that no one would take 693 00:41:38,739 --> 00:41:42,130 Speaker 1: this hypothetical nation or the leader of this hypothetical nation 694 00:41:42,310 --> 00:41:47,910 Speaker 1: seriously unless they presented an air of madness. And then perhaps, hey, 695 00:41:47,969 --> 00:41:51,969 Speaker 1: they might do it anyway if provoked. They're unhinged. And thus, 696 00:41:52,050 --> 00:41:56,350 Speaker 1: it can be a form of asymmetric leverage. So we're 697 00:41:56,370 --> 00:42:01,189 Speaker 1: talking low probability but high consequence. Yeah. And McManus also 698 00:42:01,230 --> 00:42:02,950 Speaker 1: points out that there would also seem to be more 699 00:42:02,969 --> 00:42:06,060 Speaker 1: of an advantage if you had a mild reputation for 700 00:42:06,120 --> 00:42:08,500 Speaker 1: madness rather than an extreme one. You don't want to 701 00:42:08,560 --> 00:42:12,719 Speaker 1: come off like, you know, a complete Dada, you know, 702 00:42:12,840 --> 00:42:16,529 Speaker 1: eye rolling maniac in one of these cases. The idea 703 00:42:16,550 --> 00:42:18,450 Speaker 1: would be like, well, you know, we can we can 704 00:42:18,489 --> 00:42:21,989 Speaker 1: still get this individual to the negotiation table, but we 705 00:42:22,010 --> 00:42:25,700 Speaker 1: just have to be hypersensitive. And I guess, again, kind 706 00:42:25,739 --> 00:42:30,060 Speaker 1: of avoiding that complete fall off into chaotic evil demon 707 00:42:30,100 --> 00:42:32,860 Speaker 1: hood and instead dealing with devils that can still be 708 00:42:32,900 --> 00:42:35,930 Speaker 1: bound by some sort of law. All right. I have 709 00:42:35,950 --> 00:42:40,650 Speaker 1: a hypothetical example here. So we have demigodic hero Hercules 710 00:42:41,710 --> 00:42:46,010 Speaker 1: and we have his mortal cousin Eurystheus. And they're grabbing 711 00:42:46,050 --> 00:42:47,510 Speaker 1: lunch at the local Euro place. 712 00:42:47,810 --> 00:42:48,130 Speaker 2: Great. 713 00:42:49,010 --> 00:42:52,270 Speaker 1: So. So Eurystheus warns his cousin that if he tries 714 00:42:52,310 --> 00:42:54,469 Speaker 1: to steal any of his fries, he's going to flip 715 00:42:54,489 --> 00:42:56,029 Speaker 1: the table and all their food's going to wind up 716 00:42:56,070 --> 00:42:58,680 Speaker 1: on the floor. And he acts just really sensitive and 717 00:42:58,739 --> 00:43:01,180 Speaker 1: unhinged about the whole thing. Yes. 718 00:43:01,380 --> 00:43:01,700 Speaker 2: Okay. 719 00:43:02,080 --> 00:43:06,320 Speaker 1: Hercules obviously knows that Eurystheus can't take him in a 720 00:43:06,360 --> 00:43:08,460 Speaker 1: fight and might not even be able to flip that 721 00:43:08,540 --> 00:43:14,879 Speaker 1: table over before Hercules stops him. And rationally, Eurystheus should 722 00:43:14,920 --> 00:43:17,430 Speaker 1: realize this and just let Big Herc have a few 723 00:43:17,489 --> 00:43:19,390 Speaker 1: extra fries if he wants. Like, what does it matter? 724 00:43:20,170 --> 00:43:23,930 Speaker 1: But from Hercules' standpoint, does he really want to risk 725 00:43:24,050 --> 00:43:26,859 Speaker 1: his lunch winding up on the floor? Maybe he should 726 00:43:26,880 --> 00:43:29,560 Speaker 1: just let Eurystheus keep all of his fries. 727 00:43:29,880 --> 00:43:30,260 Speaker 2: Okay. 728 00:43:31,180 --> 00:43:35,859 Speaker 1: The downside, of course, here is that maybe Hercules just 729 00:43:35,940 --> 00:43:39,279 Speaker 1: won't invite Eurystheus out for lunch next time. And he's 730 00:43:39,320 --> 00:43:41,990 Speaker 1: certainly not going to pick up the check. And on 731 00:43:42,030 --> 00:43:44,950 Speaker 1: top of all that, how are they going to work 732 00:43:44,989 --> 00:43:48,009 Speaker 1: together to defeat the Hydra? Because as you'll remember from 733 00:43:48,070 --> 00:43:51,029 Speaker 1: past episodes and from Greek mythology in general, Hercules can't 734 00:43:51,090 --> 00:43:52,890 Speaker 1: do that on his own. He has to have his 735 00:43:52,930 --> 00:43:55,610 Speaker 1: cousin's help to burn the stumps after each head of 736 00:43:55,630 --> 00:43:56,509 Speaker 1: the Hydra is cut off. 737 00:43:56,590 --> 00:44:01,410 Speaker 2: Very good points. I mean, apart from any otherwise moral 738 00:44:01,469 --> 00:44:05,760 Speaker 2: considerations or honesty considerations about deploying something like madman theory, 739 00:44:05,800 --> 00:44:09,960 Speaker 2: just from a strategic point of view, it seems like 740 00:44:10,160 --> 00:44:14,090 Speaker 2: it is probably best for situations where Like your counterparty 741 00:44:14,410 --> 00:44:17,589 Speaker 2: has to deal with you. It is not optional for them. 742 00:44:18,370 --> 00:44:21,850 Speaker 2: And you don't have to like or respect each other 743 00:44:22,170 --> 00:44:26,589 Speaker 2: or ever work together on anything. And you don't care 744 00:44:26,630 --> 00:44:30,660 Speaker 2: about long-term goals. You are only interested in this situation 745 00:44:30,780 --> 00:44:33,560 Speaker 2: right now in extracting a short-term advantage. 746 00:44:34,440 --> 00:44:37,839 Speaker 1: That's right. That's right. But some papers out there that 747 00:44:37,860 --> 00:44:41,560 Speaker 1: have crunched the numbers on all this and done some experimentation, 748 00:44:41,620 --> 00:44:44,640 Speaker 1: questionnaires and so forth, Do acknowledge that, you know, there 749 00:44:44,680 --> 00:44:48,779 Speaker 1: are multiple dimensions to any of these situations, namely, and 750 00:44:48,800 --> 00:44:50,640 Speaker 1: this is something I think everyone can relate to, like 751 00:44:50,660 --> 00:44:54,080 Speaker 1: you can have a leader that is engaging in an 752 00:44:54,180 --> 00:44:59,759 Speaker 1: international situation, but there is still the domestic view of 753 00:44:59,800 --> 00:45:03,380 Speaker 1: that situation. There's still the domestic response, the domestic relationship. 754 00:45:04,700 --> 00:45:06,640 Speaker 1: And so one of the papers that I was looking at, 755 00:45:06,800 --> 00:45:09,880 Speaker 1: this one is titled Madman or Mad Genius, the International 756 00:45:09,940 --> 00:45:13,800 Speaker 1: Benefits and Domestic Costs of Madman Strategy by Joshua A. Schwartz, 757 00:45:13,860 --> 00:45:17,900 Speaker 1: published in 2023 in Security Studies. And in this, the 758 00:45:18,020 --> 00:45:22,160 Speaker 1: author found that the madman approach can work in negotiations 759 00:45:22,300 --> 00:45:26,509 Speaker 1: with foreign adversaries, but, quote, entails significant domestic costs that 760 00:45:26,530 --> 00:45:30,510 Speaker 1: potentially erode its efficacy. He also points out that madman 761 00:45:30,530 --> 00:45:33,850 Speaker 1: theory may simply not work against major powers because while 762 00:45:33,910 --> 00:45:37,540 Speaker 1: it might, make a threat more credible that doesn't necessarily 763 00:45:37,580 --> 00:45:41,320 Speaker 1: make the threat more effective and make the adversary willing 764 00:45:41,360 --> 00:45:44,379 Speaker 1: to cave to those demands. So he points out that 765 00:45:44,560 --> 00:45:47,080 Speaker 1: this is perhaps why Nixon's use of madman theory didn't 766 00:45:47,120 --> 00:45:50,280 Speaker 1: work against the Soviets. Like, okay, it made Nixon's threat 767 00:45:50,440 --> 00:45:55,380 Speaker 1: more credible, but did it actually make it more effective? 768 00:45:55,400 --> 00:45:57,360 Speaker 1: Did he actually get what he wanted to out of 769 00:45:57,660 --> 00:46:01,300 Speaker 1: these bluffs, these threats? And then you have the domestic 770 00:46:01,340 --> 00:46:06,320 Speaker 1: side of things. With the hypothetical leader's own citizens not 771 00:46:06,510 --> 00:46:11,469 Speaker 1: loving the heightened stakes because, you know, obviously, I mean, 772 00:46:11,489 --> 00:46:12,969 Speaker 1: I say obviously, but this is one of those things 773 00:46:12,989 --> 00:46:14,750 Speaker 1: that we often have to be reminded of in a 774 00:46:14,770 --> 00:46:17,770 Speaker 1: case of mutually assured destruction or even a case of 775 00:46:17,930 --> 00:46:22,100 Speaker 1: asymmetric exchange involving nuclear weapons or some other kind of just, 776 00:46:22,340 --> 00:46:25,520 Speaker 1: you know, horrible weapon of mass destruction. A leader is 777 00:46:25,739 --> 00:46:28,980 Speaker 1: always bargaining with the lives of their own citizens. You 778 00:46:29,060 --> 00:46:31,000 Speaker 1: are the chips on the board in a no one 779 00:46:31,020 --> 00:46:34,229 Speaker 1: knows what I'll do wager. Yeah. And the author also 780 00:46:34,310 --> 00:46:36,550 Speaker 1: notes that, OK, you know, this is going to also 781 00:46:36,610 --> 00:46:38,810 Speaker 1: differ depending on how much of a voice the people 782 00:46:38,870 --> 00:46:42,080 Speaker 1: have in a given nation versus how much power the 783 00:46:42,120 --> 00:46:45,940 Speaker 1: ruler has. There's going to be less backlash in places 784 00:46:46,020 --> 00:46:47,819 Speaker 1: where the people have less of a voice and the 785 00:46:47,860 --> 00:46:49,380 Speaker 1: ruler has more absolute power. 786 00:46:49,640 --> 00:46:51,990 Speaker 2: That's right. But one thing I did want to clarify 787 00:46:52,010 --> 00:46:55,229 Speaker 2: is that the sense in which you are the chips 788 00:46:55,310 --> 00:46:57,410 Speaker 2: on the board and no one knows what I'll do 789 00:46:57,489 --> 00:47:01,759 Speaker 2: wager is. is true is not just limited to like 790 00:47:02,380 --> 00:47:05,299 Speaker 2: the worst possible scenario, like nuclear warfare. I mean, it's 791 00:47:05,420 --> 00:47:08,890 Speaker 2: also the case in say like trade negotiations or something 792 00:47:08,930 --> 00:47:11,850 Speaker 2: like that. Like your economic prospects are in a way, 793 00:47:12,330 --> 00:47:14,850 Speaker 2: those are the chips on the board. Like the, the, 794 00:47:14,930 --> 00:47:18,150 Speaker 2: the citizens fates and futures are the things that are 795 00:47:18,190 --> 00:47:20,190 Speaker 2: being negotiated with. That's right. 796 00:47:20,210 --> 00:47:24,810 Speaker 1: Yeah. In, in, in contemplating potential nuclear exchanges, everything is 797 00:47:24,850 --> 00:47:27,600 Speaker 1: a bit more stark and a bit more black and white, 798 00:47:27,700 --> 00:47:30,600 Speaker 1: but obviously, you know, any, You can think of any 799 00:47:30,660 --> 00:47:33,879 Speaker 1: number of scenarios where the stakes are still quite high 800 00:47:34,400 --> 00:47:35,160 Speaker 1: for the individual. 801 00:47:35,440 --> 00:47:37,359 Speaker 2: So, yes, it's not hard to see at all why 802 00:47:37,380 --> 00:47:41,950 Speaker 2: a citizenry can easily become upset and annoyed if their leader, 803 00:47:41,989 --> 00:47:44,830 Speaker 2: who's supposed to be representing their interests in negotiations, is 804 00:47:45,030 --> 00:47:49,850 Speaker 2: acting unreliable and unpredictable. The leader may think that they 805 00:47:49,870 --> 00:47:52,250 Speaker 2: can get good gains out of that in the short term, 806 00:47:52,290 --> 00:47:55,160 Speaker 2: but the citizens are probably thinking about a lot of 807 00:47:55,200 --> 00:47:58,239 Speaker 2: these Even if not, you know, thinking specifically about them, 808 00:47:58,280 --> 00:48:00,859 Speaker 2: just thinking intuitively about there seems like there's a lot 809 00:48:00,900 --> 00:48:02,980 Speaker 2: of downside to this. Yeah. 810 00:48:03,120 --> 00:48:06,880 Speaker 1: And again, coming back to what we mentioned earlier, the idea, too, 811 00:48:07,020 --> 00:48:10,700 Speaker 1: that by constant, if you swing around this, the sword 812 00:48:10,719 --> 00:48:13,239 Speaker 1: of madman theory too much, then it makes it more 813 00:48:13,300 --> 00:48:19,410 Speaker 1: difficult to engage in the other highly important tools of statecraft, 814 00:48:19,790 --> 00:48:23,190 Speaker 1: peace treaties and agreements and so forth. So it's like 815 00:48:23,210 --> 00:48:25,210 Speaker 1: you can only swing that sword around for so long. 816 00:48:25,810 --> 00:48:28,130 Speaker 1: And then you have to be able to engage in 817 00:48:28,170 --> 00:48:33,140 Speaker 1: these other acts as well. Again, short-term gain with madman theory, 818 00:48:34,260 --> 00:48:38,380 Speaker 1: not so in the long term. But, you know, unfortunately, 819 00:48:38,420 --> 00:48:41,399 Speaker 1: this ends up rolling out into so many things about 820 00:48:42,320 --> 00:48:45,460 Speaker 1: human experience and human perception is that we are so 821 00:48:45,520 --> 00:48:47,640 Speaker 1: focused on the short term and we don't think about 822 00:48:47,680 --> 00:48:48,219 Speaker 1: the long term. 823 00:48:48,739 --> 00:48:50,420 Speaker 2: So we've just been talking about a lot of reasons 824 00:48:50,500 --> 00:48:53,700 Speaker 2: that it might actually be bad and not as clever 825 00:48:53,760 --> 00:48:57,130 Speaker 2: as it first seems. to try to leverage knowledge of 826 00:48:57,230 --> 00:49:02,450 Speaker 2: ambiguity aversion offensively in negotiations. But I think one way 827 00:49:02,510 --> 00:49:05,810 Speaker 2: that it can definitely be useful is to have knowledge 828 00:49:05,950 --> 00:49:09,509 Speaker 2: of ambiguity aversion to use defensively, to think about in 829 00:49:09,690 --> 00:49:15,390 Speaker 2: analyzing your own behavior and being aware of your bias 830 00:49:15,469 --> 00:49:19,129 Speaker 2: to avoid ambiguity and sort of check yourself and think like, 831 00:49:19,190 --> 00:49:22,110 Speaker 2: wait a minute, am I actually making the right decision here? 832 00:49:22,630 --> 00:49:25,700 Speaker 2: Is this actually what's rational or am I just having 833 00:49:25,719 --> 00:49:30,259 Speaker 2: a an irrational bias against situations with unknown probabilities that 834 00:49:30,360 --> 00:49:34,300 Speaker 2: are seeming having an outsized scariness in my mind because 835 00:49:34,320 --> 00:49:37,660 Speaker 2: of the ambiguity involved? Like the example we talked about 836 00:49:37,700 --> 00:49:40,580 Speaker 2: earlier with people being afraid to try new experiences because 837 00:49:40,620 --> 00:49:41,980 Speaker 2: there's some amount of ambiguity. 838 00:49:42,000 --> 00:49:45,819 Speaker 1: Yeah, absolutely. Again, there's always ambiguity in any new experience. 839 00:49:46,360 --> 00:49:48,080 Speaker 1: There's so many ways it could go wrong, but there 840 00:49:48,100 --> 00:49:50,719 Speaker 1: are so many ways it could go right. A lot 841 00:49:50,760 --> 00:49:52,839 Speaker 1: of us do tend to focus more on the ways 842 00:49:52,930 --> 00:49:53,510 Speaker 1: it could go wrong. 843 00:49:53,860 --> 00:49:56,090 Speaker 2: The devil you know is not necessarily better. 844 00:49:56,110 --> 00:49:59,770 Speaker 1: Yeah, the devil you don't know could be really fun. 845 00:50:00,330 --> 00:50:01,490 Speaker 1: Give him a shot sometimes. 846 00:50:02,750 --> 00:50:05,250 Speaker 2: The devil you know could be like a chaotic good devil. 847 00:50:05,570 --> 00:50:07,770 Speaker 2: Those are those exist, right? Are there some? 848 00:50:09,570 --> 00:50:12,090 Speaker 1: You know, maybe under the new, it's possible under the 849 00:50:12,130 --> 00:50:12,870 Speaker 1: new rules, but. 850 00:50:12,890 --> 00:50:16,430 Speaker 2: Maybe it's actually just a friendly tiefling that you give. 851 00:50:16,570 --> 00:50:17,050 Speaker 1: There you go. 852 00:50:17,100 --> 00:50:17,620 Speaker 2: There you go. 853 00:50:17,700 --> 00:50:19,020 Speaker 1: You could have a chaotic good tiefling. 854 00:50:19,040 --> 00:50:19,960 Speaker 2: There you go. 855 00:50:20,040 --> 00:50:21,620 Speaker 1: It's entirely possible. All right. 856 00:50:21,660 --> 00:50:23,759 Speaker 2: Well, that's going to do it for part one of 857 00:50:23,960 --> 00:50:27,140 Speaker 2: our look at ambiguity aversion, but we're going to be 858 00:50:27,180 --> 00:50:30,300 Speaker 2: back again next time to talk about how this applies 859 00:50:30,340 --> 00:50:34,060 Speaker 2: to some other domains of life and maybe some subsequent research. 860 00:50:34,080 --> 00:50:37,480 Speaker 2: I might get some into the different ways that the 861 00:50:37,600 --> 00:50:42,700 Speaker 2: ambiguity aversion observations have been interpreted in terms of different 862 00:50:42,739 --> 00:50:45,480 Speaker 2: types of decision theory, like is it an error or 863 00:50:45,540 --> 00:50:48,299 Speaker 2: is it actually a type of rationality that needs to 864 00:50:48,340 --> 00:50:51,350 Speaker 2: be better understood? So yeah, we'll talk about that kind 865 00:50:51,390 --> 00:50:52,069 Speaker 2: of stuff next time. 866 00:50:52,430 --> 00:50:55,820 Speaker 1: Who knows what angles we'll actually discuss in the next episode? 867 00:50:55,920 --> 00:50:58,280 Speaker 1: You can tune in to find out. In the meantime, 868 00:50:58,739 --> 00:51:00,859 Speaker 1: certainly write in. We'd love to hear from you. And 869 00:51:00,920 --> 00:51:02,980 Speaker 1: we'd like to remind you that Stuff to Blow Your 870 00:51:03,030 --> 00:51:05,430 Speaker 1: Mind is primarily a science and culture podcast with core 871 00:51:05,450 --> 00:51:09,370 Speaker 1: episodes on Tuesdays and Thursdays, short-form episode on Wednesdays, and 872 00:51:09,410 --> 00:51:11,489 Speaker 1: on Fridays we set aside most serious concerns to just 873 00:51:11,510 --> 00:51:14,090 Speaker 1: talk about a weird film on Weird House Cinema. 874 00:51:14,640 --> 00:51:18,000 Speaker 2: Huge thanks, as always, to our excellent audio producer, J.J. Posway. 875 00:51:18,480 --> 00:51:19,980 Speaker 2: If you would like to get in touch with us 876 00:51:20,020 --> 00:51:22,460 Speaker 2: with feedback on this episode or any other, to suggest 877 00:51:22,520 --> 00:51:24,400 Speaker 2: a topic for the future, or just to say hello, 878 00:51:24,480 --> 00:51:36,029 Speaker 2: you can email us at contact at stufftoblowyourmind.com. Stuff to 879 00:51:36,050 --> 00:51:38,790 Speaker 2: Blow Your Mind is a production of iHeartRadio. For more 880 00:51:38,810 --> 00:51:42,620 Speaker 2: podcasts from iHeartRadio, visit the iHeartRadio app. Apple Podcasts are 881 00:51:42,640 --> 00:51:44,280 Speaker 2: wherever you listen to your favorite shows. 882 00:51:51,320 --> 00:51:51,520 Speaker 1: Thank you.