1 00:00:03,080 --> 00:00:05,920 Speaker 1: Welcome to Stuff to Blow Your Mind from how Stuff 2 00:00:05,920 --> 00:00:14,680 Speaker 1: Works dot Com. Hey, welcome to Stuff to Blow your Mind. 3 00:00:14,720 --> 00:00:17,240 Speaker 1: My name is Robert Lamb and I'm jeral McCormick. Can. 4 00:00:17,239 --> 00:00:19,560 Speaker 1: Today we're going to be treating you to the classic 5 00:00:19,760 --> 00:00:21,960 Speaker 1: Stuff to Blow Your Mind episode from a couple of 6 00:00:22,000 --> 00:00:24,080 Speaker 1: years ago. Well, I guess, yeah, yeah, this is an 7 00:00:24,160 --> 00:00:26,400 Speaker 1: encore presentation, but it's a really good one and I 8 00:00:26,440 --> 00:00:29,400 Speaker 1: think I think it's one that that may have some 9 00:00:29,440 --> 00:00:31,520 Speaker 1: folks may have missed out on an Now it's the 10 00:00:31,520 --> 00:00:34,080 Speaker 1: perfect time to listen to it for the first time 11 00:00:34,159 --> 00:00:36,760 Speaker 1: or re acquaint yourself with it because it concerns uh. 12 00:00:37,200 --> 00:00:38,880 Speaker 1: It's one of these these episodes where a number of 13 00:00:38,920 --> 00:00:43,080 Speaker 1: different things converge. We've got human behavior, we've got technology, 14 00:00:43,240 --> 00:00:46,360 Speaker 1: kind of the evolution of technology, and uh, and just 15 00:00:46,400 --> 00:00:48,720 Speaker 1: sort of the way that we exploit each other as well, 16 00:00:48,880 --> 00:00:54,320 Speaker 1: perfect psychological predation. Yes, so gets trapped in and learn 17 00:00:54,400 --> 00:00:59,040 Speaker 1: how to play to extinction in this episode about slot machines. 18 00:01:00,480 --> 00:01:03,400 Speaker 1: Step right up, Step right up, ladies and gentlemen, test 19 00:01:03,400 --> 00:01:06,440 Speaker 1: your skills and test your wits against the incredible one 20 00:01:06,560 --> 00:01:09,320 Speaker 1: arm Band at the Fruit Machine, the Puggy, the Three 21 00:01:09,360 --> 00:01:13,000 Speaker 1: Eyed Savings Buster, yes, sir, ree, you sink your coins, 22 00:01:13,080 --> 00:01:16,360 Speaker 1: you pull the bar and dance with Lady Luck. Remember 23 00:01:16,720 --> 00:01:20,800 Speaker 1: that when you play a slot machine, no strategy is required. 24 00:01:21,319 --> 00:01:24,800 Speaker 1: The slot machine is controlled by a mathematical algorithm program 25 00:01:24,920 --> 00:01:27,560 Speaker 1: to deliver a set number of wins a set number 26 00:01:27,600 --> 00:01:31,160 Speaker 1: of glosses. It's just you against the godless predetermined mind 27 00:01:31,240 --> 00:01:34,680 Speaker 1: of the machine. So step right up and take your chances. 28 00:01:34,880 --> 00:01:36,920 Speaker 1: How about sir? Right there, why don't you step on 29 00:01:37,000 --> 00:01:39,440 Speaker 1: up and try your hand at the one arm bandit here? 30 00:01:39,560 --> 00:01:42,479 Speaker 1: Oh wow, yeah, I say this looks intriguing. It sure does, sir. 31 00:01:42,600 --> 00:01:45,240 Speaker 1: Just put your coin in there, pull the bar and 32 00:01:45,319 --> 00:01:48,320 Speaker 1: see what Lady Luck has in store for you. Really, really, 33 00:01:48,360 --> 00:01:50,400 Speaker 1: just one coin and I could be rich forever. That's 34 00:01:50,400 --> 00:01:52,919 Speaker 1: how it stocks. So you just put in one coin 35 00:01:53,040 --> 00:01:56,360 Speaker 1: and uh, we'll see how the algorithm treats you. Okay, 36 00:01:56,360 --> 00:01:58,800 Speaker 1: am I playing it right now. You're playing it right now, 37 00:01:58,840 --> 00:02:01,520 Speaker 1: that's right, So just pull, deliver pull it. Yep, there 38 00:02:01,560 --> 00:02:05,960 Speaker 1: you go. Oh well didn't work out for you this time. 39 00:02:05,960 --> 00:02:08,359 Speaker 1: Do you have some more coins? Well? I sure do. 40 00:02:08,480 --> 00:02:10,000 Speaker 1: I don't want to lose out on a chance to 41 00:02:10,000 --> 00:02:12,040 Speaker 1: get ritch. All right, Well, you might want to get 42 00:02:12,040 --> 00:02:15,120 Speaker 1: a bucket off them, so because this algorithm, it's a 43 00:02:15,400 --> 00:02:24,600 Speaker 1: it's a fickle gus. Okay, well let me go to them. Hey, 44 00:02:24,720 --> 00:02:26,960 Speaker 1: welcome to stuff to blow your mind. This is Robert 45 00:02:27,040 --> 00:02:29,600 Speaker 1: Lamb and I'm Joe McCormick. And that was just a 46 00:02:29,600 --> 00:02:32,960 Speaker 1: little sketch we put together to uh to set the 47 00:02:33,040 --> 00:02:36,800 Speaker 1: stage for our discussion of slot machines and the science 48 00:02:36,800 --> 00:02:38,680 Speaker 1: of slot machines and in fact that the science of 49 00:02:38,680 --> 00:02:42,520 Speaker 1: gambling behavior. Yeah, Robert, have you ever played a slot machine? 50 00:02:42,880 --> 00:02:46,640 Speaker 1: I have never played an actual slot machine outside of 51 00:02:47,120 --> 00:02:50,480 Speaker 1: interactions in video games, not gambling video games, but like 52 00:02:50,600 --> 00:02:54,000 Speaker 1: legitimate like Grand Theft Auto or of course Super Mario 53 00:02:54,160 --> 00:02:56,800 Speaker 1: Brothers too. So you're not betting real cash money on 54 00:02:56,840 --> 00:03:00,880 Speaker 1: these slot machines. Absolutely just sort of virtual gambling, right, well, 55 00:03:00,960 --> 00:03:04,320 Speaker 1: especially like Supermined Brothers two comes to mind, because if 56 00:03:04,360 --> 00:03:08,160 Speaker 1: anyone my age may remember, in between each level you 57 00:03:08,240 --> 00:03:11,560 Speaker 1: played a little slot device and it was all about 58 00:03:12,040 --> 00:03:15,240 Speaker 1: winning extra lives. So if that's the only slot experience 59 00:03:15,240 --> 00:03:16,960 Speaker 1: you have, it gives you a very skewed idea of 60 00:03:17,040 --> 00:03:19,880 Speaker 1: what a slot machine is because you could not lose anything, 61 00:03:20,160 --> 00:03:23,400 Speaker 1: you could only win extra lives and it paid out 62 00:03:23,480 --> 00:03:26,200 Speaker 1: at a pretty high percentage. It was pretty easy to 63 00:03:26,280 --> 00:03:27,840 Speaker 1: figure out when to press the button so that you 64 00:03:27,880 --> 00:03:30,120 Speaker 1: would at least get one extra life. Oh but so 65 00:03:30,200 --> 00:03:33,520 Speaker 1: there's some skill involved in the Supermaner Brothers too slot machine, 66 00:03:33,720 --> 00:03:36,400 Speaker 1: and that's going to be different than most slot machines 67 00:03:36,440 --> 00:03:39,960 Speaker 1: in history. That's right as well discussed. They've evolved into 68 00:03:40,040 --> 00:03:45,040 Speaker 1: a very nefarious parasitic organism, mechanical organism, if you will. 69 00:03:45,320 --> 00:03:48,600 Speaker 1: I think slot machines are very interesting because in this 70 00:03:48,720 --> 00:03:54,880 Speaker 1: world of uh, you know, unmanned planetary rovers of robotic 71 00:03:55,080 --> 00:04:01,040 Speaker 1: surgery machines, of all these incredibly uh, science fiction seeming 72 00:04:01,200 --> 00:04:06,000 Speaker 1: machines that that occupy our techno space, the slot machine 73 00:04:06,120 --> 00:04:09,760 Speaker 1: exists as a really kind of perfect mechanism that stands 74 00:04:09,880 --> 00:04:13,320 Speaker 1: beyond all of that other technology in that it has 75 00:04:13,360 --> 00:04:16,040 Speaker 1: a job to do and it does it so well 76 00:04:16,240 --> 00:04:19,560 Speaker 1: you wouldn't believe it. Yeah, I mean it in the 77 00:04:19,600 --> 00:04:22,359 Speaker 1: industry has has pushed it in this direction to where 78 00:04:22,400 --> 00:04:25,600 Speaker 1: it just excels at one thing, and that is making 79 00:04:25,640 --> 00:04:30,040 Speaker 1: money off the gambler for the house and ultimately encouraging 80 00:04:30,080 --> 00:04:34,240 Speaker 1: you two in in gambling industry terms, play to extinction, 81 00:04:35,200 --> 00:04:38,480 Speaker 1: which which is the idea that you put some money in, 82 00:04:38,640 --> 00:04:40,840 Speaker 1: and you keep putting money in until you can no 83 00:04:40,880 --> 00:04:43,800 Speaker 1: longer put money in because you don't have anymore, which 84 00:04:43,839 --> 00:04:46,000 Speaker 1: is a tactic you You You don't even see all that 85 00:04:46,080 --> 00:04:49,760 Speaker 1: much in a parasitic organism because the parasite generally does 86 00:04:49,800 --> 00:04:53,440 Speaker 1: not want to extinguish the host. The host is it's 87 00:04:53,640 --> 00:04:57,080 Speaker 1: is its vessel. But as we're discussing earlier, there are 88 00:04:57,080 --> 00:05:00,479 Speaker 1: always more vessels for the slot machine. Yeah, you can 89 00:05:00,520 --> 00:05:03,040 Speaker 1: look at the casino as a kind of super parasite 90 00:05:03,440 --> 00:05:06,039 Speaker 1: because it doesn't have to attach itself to a host 91 00:05:06,080 --> 00:05:09,240 Speaker 1: and then become dependent on it. It can draw many 92 00:05:09,360 --> 00:05:13,880 Speaker 1: hosts to itself, and there's always more where they came from. Yeah, 93 00:05:13,960 --> 00:05:16,480 Speaker 1: it's and and they will bust them in. They will 94 00:05:16,480 --> 00:05:19,760 Speaker 1: attract those gamblers in with whatever it takes. And you know, 95 00:05:20,120 --> 00:05:22,640 Speaker 1: you instantly think of you know, busses coming in with them, 96 00:05:22,680 --> 00:05:26,120 Speaker 1: of travel deals, you know, even like free room and board. 97 00:05:26,760 --> 00:05:28,479 Speaker 1: I was looking at a two thousand and twelve study 98 00:05:28,520 --> 00:05:31,359 Speaker 1: from Temple University and they pointed out that an average 99 00:05:31,360 --> 00:05:35,039 Speaker 1: casino in Atlantic City could expect to make eight dollars 100 00:05:35,040 --> 00:05:38,000 Speaker 1: and forty five cents off of every dollar they spent 101 00:05:38,120 --> 00:05:40,920 Speaker 1: on their travel and parking promotions for gamblers. So again, 102 00:05:40,960 --> 00:05:45,520 Speaker 1: free bus rides, free parking UHI for every dollar they spend. 103 00:05:46,320 --> 00:05:48,960 Speaker 1: And so it's a much better deal though compared to 104 00:05:49,120 --> 00:05:52,640 Speaker 1: the two fifty one return on every dollar they spent 105 00:05:52,839 --> 00:05:56,240 Speaker 1: on room, food and beverage giveaways. But that's still pretty good, 106 00:05:56,360 --> 00:05:59,440 Speaker 1: still really good. So for every dollar they give away 107 00:05:59,480 --> 00:06:03,400 Speaker 1: and free hotel rooms, free buffet trips and stuff like that, 108 00:06:03,440 --> 00:06:06,720 Speaker 1: they get back to fifty one on gambling losses. Yeah, 109 00:06:06,800 --> 00:06:08,800 Speaker 1: and so that's just one early stat to just sort 110 00:06:08,800 --> 00:06:12,440 Speaker 1: of drive home how how the system works, how the 111 00:06:12,480 --> 00:06:17,200 Speaker 1: gambling hyper organism works. Well, let's look at the history 112 00:06:17,279 --> 00:06:20,280 Speaker 1: of the slot machine. I got curious about where this 113 00:06:20,400 --> 00:06:24,679 Speaker 1: thing came from, and it turns out the term slot 114 00:06:24,760 --> 00:06:29,120 Speaker 1: machine could originally refer to any coin operated machine, like 115 00:06:28,960 --> 00:06:30,920 Speaker 1: a like a vending machine. So it's got a slot 116 00:06:30,960 --> 00:06:32,960 Speaker 1: where you stick the coin in, it falls in and 117 00:06:32,960 --> 00:06:35,839 Speaker 1: you get what you're looking for. Yeah, it was slot 118 00:06:35,839 --> 00:06:38,760 Speaker 1: machine is short for nickel in the slot machine, which 119 00:06:38,800 --> 00:06:41,680 Speaker 1: is probably the most Grampa Simpson thing I've ever heard 120 00:06:41,720 --> 00:06:43,920 Speaker 1: outside of the cartoon, because it could Yeah, it could 121 00:06:43,920 --> 00:06:46,160 Speaker 1: be anything. You'd be gum, cigarettes, etcetera. You would say, 122 00:06:46,200 --> 00:06:48,200 Speaker 1: oh you you know, you wanna know the packet gun, 123 00:06:48,279 --> 00:06:50,640 Speaker 1: go over to that nickel and the slot machine and 124 00:06:51,000 --> 00:06:54,400 Speaker 1: do what comes naturally, right, and then yell at a cloud. 125 00:06:54,640 --> 00:06:57,440 Speaker 1: So yeah, and in the twentieth century that that's sort 126 00:06:57,440 --> 00:07:00,920 Speaker 1: of when we saw the shift to slot machine referring 127 00:07:00,960 --> 00:07:03,680 Speaker 1: to a gambling type machine. Though I do think it's 128 00:07:03,680 --> 00:07:07,240 Speaker 1: interesting to still in a way characterized slot machines as 129 00:07:07,320 --> 00:07:10,040 Speaker 1: vending machines because you could look at them as a 130 00:07:10,160 --> 00:07:14,880 Speaker 1: vending machine for thrills you put the coin in, because 131 00:07:14,920 --> 00:07:18,480 Speaker 1: you're not going to be getting the money back. It's 132 00:07:18,480 --> 00:07:21,280 Speaker 1: almost no chance of winning money at a slot machine. Yeah, 133 00:07:21,320 --> 00:07:23,520 Speaker 1: and it has far too many bells and whistles and 134 00:07:23,520 --> 00:07:26,920 Speaker 1: flashing lights on it to really be an investment machine. 135 00:07:27,000 --> 00:07:30,840 Speaker 1: Like it's you know, to the to the slot machines. Uh. 136 00:07:31,040 --> 00:07:33,600 Speaker 1: In the slot machines defense, it is, it does seem 137 00:07:33,600 --> 00:07:37,240 Speaker 1: to position itself as an entertainment device. Yeah. So in 138 00:07:37,360 --> 00:07:40,800 Speaker 1: the eighteen eighties there were some bars and saloons in 139 00:07:40,840 --> 00:07:44,600 Speaker 1: the United States that had early versions of coin operated 140 00:07:44,640 --> 00:07:48,239 Speaker 1: gambling machines, though I think generally they were not much 141 00:07:48,320 --> 00:07:50,720 Speaker 1: like the slot machines we think of today, So they 142 00:07:50,800 --> 00:07:55,600 Speaker 1: might be something like a tiny mechanical horse race, and 143 00:07:55,680 --> 00:07:58,160 Speaker 1: that would give patrons something to bed on and eventually 144 00:07:58,160 --> 00:08:01,680 Speaker 1: shoot each other about. So like basically a little automaton 145 00:08:02,280 --> 00:08:05,200 Speaker 1: with raising horses that you would with that money and 146 00:08:05,240 --> 00:08:07,840 Speaker 1: maybe life and death over. Yeah, that's just one example. 147 00:08:07,840 --> 00:08:10,520 Speaker 1: But it would be some kind of electronic or not electronic, 148 00:08:10,560 --> 00:08:14,880 Speaker 1: but a mechanical machine that you could use to gamble with, 149 00:08:15,040 --> 00:08:17,720 Speaker 1: and then the patrons might place bets against one another 150 00:08:18,200 --> 00:08:20,720 Speaker 1: or sometimes they could like collect payments in the form 151 00:08:20,760 --> 00:08:24,200 Speaker 1: of things like drinks or tobacco from the saloon operator 152 00:08:24,240 --> 00:08:27,360 Speaker 1: where the machine was housed. Yeah. It I was reading 153 00:08:27,360 --> 00:08:29,640 Speaker 1: about this and it almost seems to harken to a 154 00:08:29,720 --> 00:08:32,240 Speaker 1: simpler time. It actually reminds me more of like trivia 155 00:08:32,360 --> 00:08:35,360 Speaker 1: nights he encounter at bars now, where with a proprietor 156 00:08:35,440 --> 00:08:38,680 Speaker 1: paid off winning customers with drinks or cigars or or 157 00:08:38,760 --> 00:08:41,800 Speaker 1: tokens for more refreshments, you know, which is you know 158 00:08:41,920 --> 00:08:43,600 Speaker 1: kind of like you go to these trivia nights and 159 00:08:43,600 --> 00:08:45,360 Speaker 1: if you win, oh, you get like, you know, twenty 160 00:08:45,360 --> 00:08:47,880 Speaker 1: dollars and drinks or something. You know. Yeah, it's to 161 00:08:47,920 --> 00:08:50,240 Speaker 1: get people in the door. Yeah, you know, and and 162 00:08:50,280 --> 00:08:53,920 Speaker 1: in these cases you weren't always necessarily playing against the machine. 163 00:08:53,960 --> 00:08:56,040 Speaker 1: In some cases, the machine might be thought of more 164 00:08:56,120 --> 00:09:00,080 Speaker 1: like a complicated pair of dice. Now, the kind of 165 00:09:00,160 --> 00:09:04,480 Speaker 1: slot machines we really think of, the reels running through 166 00:09:04,559 --> 00:09:07,560 Speaker 1: their cycles and then eventually landing to line up. And 167 00:09:07,559 --> 00:09:10,040 Speaker 1: I'll talk about the specifics there in a minute. Where 168 00:09:10,040 --> 00:09:13,920 Speaker 1: did that come from? There is apparently some dispute about 169 00:09:13,960 --> 00:09:16,760 Speaker 1: what exactly counts as the first slot machine or who 170 00:09:16,760 --> 00:09:19,800 Speaker 1: should be given the title of inventor. But the first 171 00:09:19,840 --> 00:09:22,080 Speaker 1: major producer of the slot machines of the kind we 172 00:09:22,160 --> 00:09:26,079 Speaker 1: think of today was a San Francisco mechanic originally an 173 00:09:26,080 --> 00:09:30,680 Speaker 1: immigrant from Bavaria named Charles Faye, and in the eighteen 174 00:09:30,760 --> 00:09:34,000 Speaker 1: nineties he invented a series of machines, the first one 175 00:09:34,000 --> 00:09:38,040 Speaker 1: called the four eleven forty four machine, then the card Bell, 176 00:09:38,360 --> 00:09:41,880 Speaker 1: and then the Liberty Bell because it's all about freedom. 177 00:09:42,679 --> 00:09:46,080 Speaker 1: And there are also accounts that Faye essentially ripped off 178 00:09:46,120 --> 00:09:49,559 Speaker 1: the idea from another inventor named Gustav Schultz, who created 179 00:09:49,600 --> 00:09:53,280 Speaker 1: a nickel slot machine called horse Shoes in the early 180 00:09:53,320 --> 00:09:56,760 Speaker 1: eighteen nineties I think eighteen nine, And from what I 181 00:09:56,800 --> 00:09:59,760 Speaker 1: can tell, Schultz's machine only had one reel at a time, 182 00:09:59,800 --> 00:10:03,040 Speaker 1: so he really hadn't tapped into the three real magic yet. 183 00:10:03,280 --> 00:10:06,439 Speaker 1: I like how it seems like either way the roots 184 00:10:06,480 --> 00:10:09,120 Speaker 1: that the of the slot machine may descend back to 185 00:10:09,480 --> 00:10:14,319 Speaker 1: Bavarian cuckoo clocks and uh, you know, old German automatons. Yeah, 186 00:10:14,360 --> 00:10:17,240 Speaker 1: it's beautiful. And also I've read some interesting things about 187 00:10:17,320 --> 00:10:21,800 Speaker 1: the the idea of intellectual property in the origins of 188 00:10:21,800 --> 00:10:26,160 Speaker 1: slot machines, because these early producers and you know, manufacturers 189 00:10:26,160 --> 00:10:28,679 Speaker 1: of slot machines were ripping each other off all the time. 190 00:10:29,360 --> 00:10:31,520 Speaker 1: But I mean, what could you do about it? I 191 00:10:31,559 --> 00:10:34,040 Speaker 1: want to take you to court to you know, to 192 00:10:34,160 --> 00:10:37,640 Speaker 1: sue your patent infringement on my illegal machine. Oh yeah, 193 00:10:37,920 --> 00:10:40,200 Speaker 1: so we should we should probably really describe the slot 194 00:10:40,200 --> 00:10:43,000 Speaker 1: machine for anyone who's not that familiar with it. I mean, 195 00:10:43,040 --> 00:10:45,480 Speaker 1: outside of course of our you know, of our Carnival 196 00:10:45,480 --> 00:10:48,280 Speaker 1: barker us get at the opening of the episode. Yeah, 197 00:10:48,280 --> 00:10:50,400 Speaker 1: we assume you've probably seen one, but just in case 198 00:10:50,440 --> 00:10:53,120 Speaker 1: you haven't, it looks usually like this, or at least 199 00:10:53,120 --> 00:10:57,440 Speaker 1: traditionally like this. You've got a big mechanical box in 200 00:10:57,520 --> 00:11:00,160 Speaker 1: front of you, and it has a coin slot and 201 00:11:00,240 --> 00:11:04,040 Speaker 1: a lever and a series of reels with images on them. 202 00:11:04,160 --> 00:11:07,120 Speaker 1: Usually three reels, but though that can vary in different 203 00:11:07,120 --> 00:11:10,000 Speaker 1: machines of today. Uh, And they're kind of like the 204 00:11:10,120 --> 00:11:12,920 Speaker 1: number wheels on a combination lock. You know, they can 205 00:11:12,920 --> 00:11:16,880 Speaker 1: scroll through, usually vertically scroll through, and when you pull 206 00:11:16,920 --> 00:11:20,800 Speaker 1: the lever, the reels begin to spin wildly before eventually 207 00:11:20,880 --> 00:11:25,800 Speaker 1: slowing down and stopping. And the reels are full of images, 208 00:11:25,920 --> 00:11:28,880 Speaker 1: also referred to as stops. And what you're looking for 209 00:11:29,160 --> 00:11:33,200 Speaker 1: is which images line up when the reel stops spinning, 210 00:11:33,200 --> 00:11:35,080 Speaker 1: and they line up across the line that's called the 211 00:11:35,160 --> 00:11:38,320 Speaker 1: pay line. Typically, of course, you want the three reels 212 00:11:38,320 --> 00:11:41,160 Speaker 1: on the images to match, though different machines have different 213 00:11:41,160 --> 00:11:44,600 Speaker 1: payout combination schemes. Sometimes there's one image that pays you 214 00:11:44,720 --> 00:11:48,280 Speaker 1: something no matter what, every time it shows up. And 215 00:11:48,400 --> 00:11:50,760 Speaker 1: the question is what are the odds of a match? So, 216 00:11:50,840 --> 00:11:54,079 Speaker 1: assuming the images or stops on all the reels are 217 00:11:54,120 --> 00:11:56,760 Speaker 1: weighted the same, it actually should be a pretty simple 218 00:11:56,880 --> 00:12:00,000 Speaker 1: multiplication of probability. So I came up with an example. 219 00:12:00,360 --> 00:12:04,719 Speaker 1: Let's say you're playing an Alien themed machine. It's a 220 00:12:04,840 --> 00:12:07,400 Speaker 1: three reel slot machine modeled after the cast of the 221 00:12:07,400 --> 00:12:11,000 Speaker 1: movie Alien, so it has eight stops per real, one 222 00:12:11,040 --> 00:12:13,280 Speaker 1: for each of the seven crew members of the Nostromo 223 00:12:13,520 --> 00:12:16,400 Speaker 1: and one for the alien. And the way you'd calculate 224 00:12:16,440 --> 00:12:19,280 Speaker 1: the probability of of hitting a jackpot of lining up 225 00:12:19,320 --> 00:12:22,720 Speaker 1: three images on this would be one eighth because there 226 00:12:22,720 --> 00:12:26,199 Speaker 1: are eight stops, times one eighth times one eighth, with 227 00:12:26,280 --> 00:12:28,920 Speaker 1: three times for the three reels, which leaves you a 228 00:12:28,920 --> 00:12:32,120 Speaker 1: probability of one out of five hundred and twelve. So 229 00:12:32,200 --> 00:12:34,199 Speaker 1: let's say you get that one chance out of five 230 00:12:34,400 --> 00:12:38,160 Speaker 1: dred and twelve, you get three Ripley's or something. If 231 00:12:38,160 --> 00:12:41,400 Speaker 1: you do, the machine pays out, usually by dumping the 232 00:12:41,480 --> 00:12:45,359 Speaker 1: coins inside, either all of them or some established subset 233 00:12:45,440 --> 00:12:48,280 Speaker 1: of them, into a place where you can collect them 234 00:12:48,360 --> 00:12:50,880 Speaker 1: and then promptly begin putting them back in the machine, 235 00:12:50,920 --> 00:12:53,760 Speaker 1: one at a time. I love this idea for a 236 00:12:53,800 --> 00:12:58,079 Speaker 1: slot machine because it also involves essentially a parasitic life 237 00:12:58,080 --> 00:13:04,079 Speaker 1: destroying organism, and I a wonderful uh anthemomorphizing sci fi analogy. 238 00:13:04,360 --> 00:13:07,080 Speaker 1: The implications of the parasitism did not escape me when 239 00:13:07,080 --> 00:13:10,000 Speaker 1: I dreamed this up. But yeah, so, the mechanical spinning 240 00:13:10,000 --> 00:13:12,600 Speaker 1: reels on early slot machines did not usually have the 241 00:13:12,640 --> 00:13:16,319 Speaker 1: cast of alien in them. They had images like playing 242 00:13:16,400 --> 00:13:20,439 Speaker 1: suit symbols, so you know, like playing cards, spade, club, heart, diamond, 243 00:13:20,640 --> 00:13:25,640 Speaker 1: the classic iconography of gambling. They also had horseshoes, stars 244 00:13:25,679 --> 00:13:29,320 Speaker 1: and bells. I was wondering where did all the fruit 245 00:13:29,400 --> 00:13:33,560 Speaker 1: come from? Yeah, because that I think that even one cherries? 246 00:13:33,640 --> 00:13:37,599 Speaker 1: What are they sometimes grapes or plums or something pineapples? 247 00:13:37,920 --> 00:13:40,160 Speaker 1: Why are these things in the slot machines we think 248 00:13:40,200 --> 00:13:42,640 Speaker 1: of today? Even I think in the UK slot machines 249 00:13:42,679 --> 00:13:46,360 Speaker 1: are often referred to as fruit machines. Fruit machines. Well, 250 00:13:46,400 --> 00:13:48,640 Speaker 1: I read an interesting story about the origin of this. 251 00:13:48,760 --> 00:13:52,320 Speaker 1: Apparently because of the moral stigma of gambling in in 252 00:13:52,360 --> 00:13:55,079 Speaker 1: the early days of the early nineteen hundreds, there were 253 00:13:55,120 --> 00:13:58,959 Speaker 1: frequent attempts to ban or eliminate slot machines, and there 254 00:13:58,960 --> 00:14:01,680 Speaker 1: were lots of sneak he attempts to circumvent this. So 255 00:14:01,800 --> 00:14:05,760 Speaker 1: companies would come up with a slot machine that wasn't 256 00:14:05,840 --> 00:14:09,360 Speaker 1: exactly like the other slot machines that came before, and 257 00:14:09,480 --> 00:14:12,120 Speaker 1: somewhat trying trying to find a loophole around the law, 258 00:14:12,440 --> 00:14:15,040 Speaker 1: or at least around the easy enforcement of the law. 259 00:14:15,360 --> 00:14:18,000 Speaker 1: And in nineteen o nine a company called the Industry 260 00:14:18,080 --> 00:14:21,800 Speaker 1: Novelty Company built slot machines but called them chewing gum 261 00:14:21,880 --> 00:14:26,520 Speaker 1: dispensers with the fruit symbols corresponding to flavors of gum 262 00:14:27,120 --> 00:14:29,880 Speaker 1: could win as your pay out, though some of these 263 00:14:29,920 --> 00:14:34,040 Speaker 1: fruit dispensing slot machines might also sometimes pay out in coins. 264 00:14:35,120 --> 00:14:37,960 Speaker 1: The year after that nineteen o nine machines, in nineteen ten, 265 00:14:38,000 --> 00:14:40,760 Speaker 1: the Mills Novelty Company added a picture of a chewing 266 00:14:40,760 --> 00:14:43,720 Speaker 1: gum pack to their machine reels, and apparently this image 267 00:14:43,760 --> 00:14:47,720 Speaker 1: morphed into the bar symbol that we all recognized today 268 00:14:47,720 --> 00:14:50,240 Speaker 1: on slot machines. If it's interesting, I was also reading 269 00:14:50,240 --> 00:14:53,960 Speaker 1: how the the the gum machine aspect of the slot 270 00:14:54,000 --> 00:14:57,960 Speaker 1: machines also, if all, allowed the machines to roll back 271 00:14:58,000 --> 00:15:02,280 Speaker 1: into a more legal form when laws changed. So the 272 00:15:02,320 --> 00:15:05,400 Speaker 1: San Francisco earth quade of nineteen o six destroyed most 273 00:15:05,520 --> 00:15:09,560 Speaker 1: local slot machine manufacturers, and California banned the use of 274 00:15:09,600 --> 00:15:13,720 Speaker 1: slot machines altogether in nineteen eleven um and so to 275 00:15:13,760 --> 00:15:16,960 Speaker 1: stay in business, the manufacturers revamped the slot machines as 276 00:15:17,000 --> 00:15:20,600 Speaker 1: gum vending machines. So it's it's in. They're amost kind 277 00:15:20,600 --> 00:15:24,800 Speaker 1: of like transformers, um shifting in and out of acceptable forms. Right, 278 00:15:25,080 --> 00:15:28,080 Speaker 1: So of course the original machines were all mechanical This 279 00:15:28,200 --> 00:15:30,880 Speaker 1: was before the days of electronics, and they'd have you know, 280 00:15:30,960 --> 00:15:35,120 Speaker 1: mechanical systems gears in place that would try to to 281 00:15:35,160 --> 00:15:39,040 Speaker 1: pay out the correct amounts to keep the probabilities in check. 282 00:15:39,400 --> 00:15:43,360 Speaker 1: Later that became easier when you had electro mechanical machines especially. 283 00:15:43,520 --> 00:15:48,640 Speaker 1: I think adding electronics eliminated some of the possibility that 284 00:15:48,680 --> 00:15:53,400 Speaker 1: people could kind of mess with the machines and machine 285 00:15:53,640 --> 00:15:56,320 Speaker 1: right to add an element of skill that isn't supposed 286 00:15:56,360 --> 00:15:58,840 Speaker 1: to be there. Uh, there are stories I don't know 287 00:15:58,880 --> 00:16:01,800 Speaker 1: how accurate they are. Back in the old days, if 288 00:16:01,800 --> 00:16:03,840 Speaker 1: you knew how to pull the lever just right and 289 00:16:04,080 --> 00:16:06,880 Speaker 1: twist the machine just right, you could ensure a payout. 290 00:16:07,840 --> 00:16:10,200 Speaker 1: I don't know if that's true, but but apparently people 291 00:16:10,280 --> 00:16:12,640 Speaker 1: thought so. Though maybe people think that about the machines 292 00:16:12,880 --> 00:16:15,200 Speaker 1: today and they're quite wrong. Yeah, it's it's gonna say that. 293 00:16:15,280 --> 00:16:17,840 Speaker 1: You can easily imagine that in the sort of almost 294 00:16:17,840 --> 00:16:22,560 Speaker 1: magical thinking that goes into the theological nature of the gambler. Yeah, 295 00:16:22,760 --> 00:16:25,440 Speaker 1: and of course now the machines tend to be fully electronic, 296 00:16:25,520 --> 00:16:29,680 Speaker 1: so they've got computerized logic random number generators and they're 297 00:16:29,760 --> 00:16:33,160 Speaker 1: perfect now, so they manage payouts always within the correct 298 00:16:33,200 --> 00:16:37,280 Speaker 1: probability ranges. More widely today, computerized slot machines are a 299 00:16:37,360 --> 00:16:42,800 Speaker 1: subtype of electronic gaming machines. And what role do they 300 00:16:42,840 --> 00:16:46,040 Speaker 1: play in the gambling of today? Now, when you think 301 00:16:46,240 --> 00:16:49,600 Speaker 1: of a casino, chances are I bet you think of 302 00:16:49,640 --> 00:16:52,560 Speaker 1: a slot machine. Yeah, because you think of that just 303 00:16:52,640 --> 00:16:56,120 Speaker 1: that big like that big room that is filled with them, 304 00:16:56,160 --> 00:16:59,640 Speaker 1: just a perfect the grid of slot machines. And they're 305 00:16:59,720 --> 00:17:02,400 Speaker 1: very human hosts. Yeah, it's almost like a like a 306 00:17:02,480 --> 00:17:06,320 Speaker 1: grocery storeile people just line up to Now have you 307 00:17:06,400 --> 00:17:08,840 Speaker 1: used one of these machines before? I actually have. I. 308 00:17:08,840 --> 00:17:14,840 Speaker 1: I have been to a casino once in Tunica, Mississippi, uh, 309 00:17:14,840 --> 00:17:18,600 Speaker 1: and I didn't play the machines very much. I mean 310 00:17:18,640 --> 00:17:22,199 Speaker 1: I played a very little bit on them, but I 311 00:17:22,280 --> 00:17:26,240 Speaker 1: observed a lot of people playing the machines. And it's 312 00:17:26,320 --> 00:17:30,800 Speaker 1: very interesting watching the phenomenon of how people behave, like 313 00:17:30,840 --> 00:17:34,520 Speaker 1: their posture and their facial expressions while they're using slot machines. 314 00:17:35,400 --> 00:17:38,040 Speaker 1: I I know we're going to talk about this in 315 00:17:38,080 --> 00:17:42,000 Speaker 1: a bit that people often report that they understand that 316 00:17:42,080 --> 00:17:45,240 Speaker 1: the odds are against them on these machines, and they 317 00:17:45,400 --> 00:17:48,960 Speaker 1: use the machines for enjoyment and entertainment, But when you 318 00:17:49,040 --> 00:17:53,400 Speaker 1: watch people play them, very often you don't see much 319 00:17:53,640 --> 00:17:59,359 Speaker 1: excitement or or reaction. People very often appear sort of hypnotize, 320 00:17:59,440 --> 00:18:03,560 Speaker 1: their locked in the zone. They're not blinking much, their 321 00:18:03,600 --> 00:18:06,600 Speaker 1: faces are kind of expression less, and they're just working 322 00:18:06,640 --> 00:18:11,040 Speaker 1: the machine. Yeah, it makes me wonder, like what my 323 00:18:11,080 --> 00:18:13,440 Speaker 1: face looks like when I'm playing a video game. Yeah, 324 00:18:13,480 --> 00:18:16,159 Speaker 1: I thought about that too, But but but even then, 325 00:18:16,200 --> 00:18:18,840 Speaker 1: I know that I have at times found myself playing 326 00:18:18,840 --> 00:18:21,040 Speaker 1: a game where I asked myself, am I enjoying this? 327 00:18:21,440 --> 00:18:23,800 Speaker 1: Or has this just become a tedious thing that I 328 00:18:23,840 --> 00:18:26,600 Speaker 1: have to win at in order to call it a day? 329 00:18:26,680 --> 00:18:30,200 Speaker 1: You know, you forgot there was a life outside the game. Yeah, 330 00:18:30,200 --> 00:18:33,360 Speaker 1: And I feel like maybe that's the mindset that one 331 00:18:33,520 --> 00:18:36,840 Speaker 1: can fall into with a slot machine. Yeah. Now I've 332 00:18:36,880 --> 00:18:40,200 Speaker 1: never actually tried one out, not a real one outside 333 00:18:40,200 --> 00:18:43,560 Speaker 1: of the video games, but I have seen the rooms, 334 00:18:44,080 --> 00:18:46,040 Speaker 1: so I know a little bit about what you're talking 335 00:18:46,040 --> 00:18:48,760 Speaker 1: about here. Well, maybe this will prevent us from ever 336 00:18:48,800 --> 00:18:51,879 Speaker 1: getting a good casino sponsorship on this show in the future, 337 00:18:51,920 --> 00:18:55,240 Speaker 1: but I can attest that they're not really that rewarding. 338 00:18:56,040 --> 00:18:58,720 Speaker 1: And I mean, indeed, when you look at the payback percentage, 339 00:18:59,000 --> 00:19:03,200 Speaker 1: which again is tied. Yeah, i'mant emotionally, and of course, 340 00:19:03,440 --> 00:19:07,239 Speaker 1: of course materially, they're not that rewarding because, yeah, when 341 00:19:07,240 --> 00:19:10,200 Speaker 1: you look at the payback percentage, which again is determined 342 00:19:10,240 --> 00:19:14,879 Speaker 1: by an algorithm, Um, you see varying levels of payout. 343 00:19:14,880 --> 00:19:16,639 Speaker 1: Like some of those sources I was looking at, it 344 00:19:16,640 --> 00:19:19,879 Speaker 1: was between seventy and Yeah, one of the main studies 345 00:19:19,880 --> 00:19:22,040 Speaker 1: we're going to talk about in this episode site at 346 00:19:22,080 --> 00:19:25,280 Speaker 1: seventy to ninety percent. I've seen common percentages more like 347 00:19:25,440 --> 00:19:30,200 Speaker 1: eighty something percent. And in the US, I at least 348 00:19:30,240 --> 00:19:33,360 Speaker 1: get the sense that this often seems connected to state regulations. 349 00:19:33,359 --> 00:19:36,439 Speaker 1: I think some states say, your slot machines in the 350 00:19:36,520 --> 00:19:39,200 Speaker 1: state need to pay between this number and this note 351 00:19:39,400 --> 00:19:42,399 Speaker 1: they can only be so evil. Um. But it's important 352 00:19:42,440 --> 00:19:46,240 Speaker 1: to note that any payback percentage under implies that people 353 00:19:46,240 --> 00:19:49,880 Speaker 1: who play more at the slot machine lose more money. Yeah. 354 00:19:49,920 --> 00:19:53,880 Speaker 1: So if you sat down and just continued putting infinite 355 00:19:53,880 --> 00:19:56,600 Speaker 1: amounts of money into this machine and never left it, 356 00:19:56,680 --> 00:19:59,800 Speaker 1: you would always statistically come out behind, would play to 357 00:19:59,880 --> 00:20:04,560 Speaker 1: a extinction, exactly right. So what role do slot machines 358 00:20:04,640 --> 00:20:07,800 Speaker 1: play in the In the larger picture? Of the gambling 359 00:20:07,800 --> 00:20:10,320 Speaker 1: economy today. I think it's interesting that, according to what 360 00:20:10,440 --> 00:20:14,000 Speaker 1: I've read, slot machines used to be a sort of 361 00:20:14,160 --> 00:20:18,760 Speaker 1: entertaining diversion to keep people in your saloon drinking your beverages, 362 00:20:19,200 --> 00:20:22,119 Speaker 1: and then after that, after they were employing casinos, they 363 00:20:22,160 --> 00:20:24,320 Speaker 1: seem to have served as a kind of low stakes 364 00:20:24,359 --> 00:20:27,600 Speaker 1: alternative to the traditional casino games, you know, the table 365 00:20:27,640 --> 00:20:32,920 Speaker 1: games like blackjack, craps, and poker. Slot machines don't require 366 00:20:32,920 --> 00:20:36,080 Speaker 1: any skill. You don't have to study probabilities, you don't 367 00:20:36,080 --> 00:20:37,879 Speaker 1: have to count cards, you don't have to learn how 368 00:20:37,920 --> 00:20:40,840 Speaker 1: to bluff, uh. And you also you don't have as 369 00:20:40,920 --> 00:20:44,240 Speaker 1: much intimidating personal interaction, like you don't have to square 370 00:20:44,240 --> 00:20:48,920 Speaker 1: off against that scary, ice cold professionalism of the blackjack dealer, 371 00:20:49,400 --> 00:20:52,280 Speaker 1: and you don't have to worry about the predatory menace 372 00:20:52,359 --> 00:20:54,480 Speaker 1: of the other poker players who are trying to get 373 00:20:54,520 --> 00:20:58,520 Speaker 1: your pot. It's a great um gateway. It's like I'm 374 00:20:58,520 --> 00:21:00,639 Speaker 1: walking in here on a newcome or I have no 375 00:21:00,720 --> 00:21:03,760 Speaker 1: idea what gambling consists of, but here's this machine where 376 00:21:03,800 --> 00:21:06,679 Speaker 1: even if I humiliate myself, it's just between me and 377 00:21:06,720 --> 00:21:08,960 Speaker 1: the machine. Yeah, and it's so easy. You just pull 378 00:21:09,000 --> 00:21:11,119 Speaker 1: a lever or you press a button and you watch 379 00:21:11,200 --> 00:21:14,720 Speaker 1: the colors settle into place, and it doesn't require a 380 00:21:14,800 --> 00:21:17,639 Speaker 1: large bet at least not all at once. It's it 381 00:21:17,680 --> 00:21:21,199 Speaker 1: feels safe and cheap to start out at least. But 382 00:21:21,280 --> 00:21:24,480 Speaker 1: of course, now slot machines are huge business. Yeah. I 383 00:21:24,520 --> 00:21:27,600 Speaker 1: was reading that it's estimated that slot machines generate over 384 00:21:27,720 --> 00:21:31,680 Speaker 1: seventy of the average casinos income, so more than all 385 00:21:31,720 --> 00:21:37,600 Speaker 1: the table games roulette, blackjack, uh, you know, craps, poker. Yeah, 386 00:21:37,680 --> 00:21:40,720 Speaker 1: they it's it's it's really like an evolution, this thing 387 00:21:40,760 --> 00:21:44,080 Speaker 1: that started off. It's just this near diversion becomes the 388 00:21:44,200 --> 00:21:49,439 Speaker 1: driving uh force in in casino economy. Yeah, and I 389 00:21:49,520 --> 00:21:52,680 Speaker 1: wonder what the explanation for that is, Like, is there 390 00:21:52,720 --> 00:21:56,439 Speaker 1: just something inherent to the slot machine model that is 391 00:21:56,760 --> 00:22:01,600 Speaker 1: very alluring, or is that that slot machines as machines 392 00:22:01,760 --> 00:22:05,560 Speaker 1: have been improved and improved until they're just the most 393 00:22:06,280 --> 00:22:09,959 Speaker 1: perfect place to gamble in a casino? Essentially, are are 394 00:22:10,040 --> 00:22:13,160 Speaker 1: slot machines of today more advanced than the black jack 395 00:22:13,240 --> 00:22:16,360 Speaker 1: tables of today? Yeah? I think they are. I mean 396 00:22:16,400 --> 00:22:19,680 Speaker 1: because it's it's so it's so dependent on the technology 397 00:22:19,920 --> 00:22:23,240 Speaker 1: in the in the delivery of the user experience. I 398 00:22:23,280 --> 00:22:26,160 Speaker 1: can't help but think of it in terms of of done, 399 00:22:26,320 --> 00:22:30,360 Speaker 1: since I'm reading rereading done right now. Update to the listeners. 400 00:22:30,359 --> 00:22:32,840 Speaker 1: I'm almost done with done. I've got like fifty pages left, 401 00:22:33,160 --> 00:22:36,040 Speaker 1: probably gonna finish it tonight. Oh excellent. Well, I can't 402 00:22:36,040 --> 00:22:38,080 Speaker 1: help but think of this in terms of the the 403 00:22:38,119 --> 00:22:41,159 Speaker 1: whole prohibition against thinking machines and the doing universe, the 404 00:22:41,160 --> 00:22:45,800 Speaker 1: Balarian Jahad, where you know, they wipe out um thinking machines, 405 00:22:45,840 --> 00:22:49,800 Speaker 1: and it's it's it seems as much my interpretation of 406 00:22:49,920 --> 00:22:53,280 Speaker 1: it, it it seems as much about like destroying a machine 407 00:22:53,359 --> 00:22:56,159 Speaker 1: like way of thinking and using machines to be human. 408 00:22:56,640 --> 00:23:01,240 Speaker 1: But but in that world, you can't have the computers anymore. 409 00:23:01,280 --> 00:23:03,959 Speaker 1: So instead you have mentats. You have humans that are 410 00:23:04,040 --> 00:23:08,600 Speaker 1: essentially human computers that can you know, can compute large 411 00:23:08,680 --> 00:23:12,320 Speaker 1: numbers and various factors inside their own head. The blackjack 412 00:23:12,359 --> 00:23:15,159 Speaker 1: dealer is a ment at, yeah, he or she is, 413 00:23:15,560 --> 00:23:19,280 Speaker 1: And also a mentet is the card counter who walks 414 00:23:19,320 --> 00:23:21,720 Speaker 1: into the casino and then is asked to leave the 415 00:23:21,760 --> 00:23:26,600 Speaker 1: casino when it's revealed that they are winning through pure 416 00:23:26,760 --> 00:23:30,720 Speaker 1: logic and through mental ability. So it's so that's that's 417 00:23:30,760 --> 00:23:34,760 Speaker 1: not allowed the human um uh perfection of thought is 418 00:23:34,760 --> 00:23:37,280 Speaker 1: not allowed with the casino. But the slot machine is 419 00:23:37,320 --> 00:23:40,879 Speaker 1: the mechanical, the electronic perfection of thought, and that is 420 00:23:41,080 --> 00:23:44,080 Speaker 1: of course allowed by house rules to do its standing. Well, 421 00:23:44,160 --> 00:23:46,800 Speaker 1: you can't count cards at a slot machine, that's true. 422 00:23:46,920 --> 00:23:49,879 Speaker 1: There's no way to beat the machine. And this is 423 00:23:49,920 --> 00:23:51,520 Speaker 1: something that's going to come up in the research we 424 00:23:51,600 --> 00:23:53,320 Speaker 1: cit in a bit. People who think they have a 425 00:23:53,320 --> 00:23:56,320 Speaker 1: way to beat the machine are wrong. Some people might 426 00:23:56,400 --> 00:23:59,720 Speaker 1: think this way, but they're wrong. You can't beat the machine. 427 00:24:00,240 --> 00:24:05,439 Speaker 1: It is a mindless, completely unchangeable algorithm. No way of 428 00:24:05,520 --> 00:24:09,320 Speaker 1: pressing the button, no ritual you can perform, or or 429 00:24:09,320 --> 00:24:11,640 Speaker 1: a way you can jiggle the bottom of the machine. 430 00:24:11,680 --> 00:24:20,080 Speaker 1: Nothing's gonna change it, you know, real quick. I do 431 00:24:20,119 --> 00:24:22,880 Speaker 1: want to mention that that when it comes to payback 432 00:24:22,920 --> 00:24:26,000 Speaker 1: on a machine, that the idea of the jackpot uh 433 00:24:26,359 --> 00:24:30,400 Speaker 1: wasn't invented until nineteen sixteen UM, and that that's when 434 00:24:30,400 --> 00:24:32,160 Speaker 1: we have this idea that the machine will spit out 435 00:24:32,200 --> 00:24:34,600 Speaker 1: all of its coins. If you get that that very 436 00:24:34,720 --> 00:24:37,800 Speaker 1: lucky combination, and of course multiplying on the idea of 437 00:24:37,840 --> 00:24:40,520 Speaker 1: the jackpot, you've got these modern conceptions of something like 438 00:24:40,560 --> 00:24:44,600 Speaker 1: the super jackpot. Multiple machines are all contributing to this 439 00:24:44,800 --> 00:24:47,879 Speaker 1: huge number that eventually somebody's gonna win. It's kind of 440 00:24:47,920 --> 00:24:51,240 Speaker 1: like playing the lottery. You know, it's a small investment 441 00:24:51,600 --> 00:24:54,800 Speaker 1: and it's maybe not even a medium sized payout. Maybe 442 00:24:55,200 --> 00:24:58,480 Speaker 1: maybe you could get that gigantic payout that will set 443 00:24:58,560 --> 00:25:00,840 Speaker 1: you up for life. Yeah, and just plays into the 444 00:25:01,600 --> 00:25:04,720 Speaker 1: nefarious nature of the machine, right that you have this 445 00:25:04,720 --> 00:25:10,080 Speaker 1: this almost legendary mythological payout that's possible by manipulating this 446 00:25:10,119 --> 00:25:12,960 Speaker 1: one device. Yeah, I mean, I wonder how high these uh, 447 00:25:13,040 --> 00:25:17,119 Speaker 1: these super jackpots can get. Um, there was one in 448 00:25:17,240 --> 00:25:20,600 Speaker 1: two thousand three, according to my notes, that paid out 449 00:25:20,720 --> 00:25:24,920 Speaker 1: at nearly forty million dollars, so not bad. Yeah, and uh, 450 00:25:24,920 --> 00:25:27,199 Speaker 1: of course then again you think of that payout and 451 00:25:27,200 --> 00:25:31,760 Speaker 1: that sounds huge, But remember that the machine never really loses, 452 00:25:31,800 --> 00:25:35,719 Speaker 1: so just imagine how much money it guzzled for that 453 00:25:35,760 --> 00:25:38,560 Speaker 1: to be an acceptable payout, which also then, of course 454 00:25:38,600 --> 00:25:41,840 Speaker 1: adds to the mythology of what kind of payout the 455 00:25:41,880 --> 00:25:45,880 Speaker 1: average gambler might expect. Well, it's just another version of thinking, man, 456 00:25:45,920 --> 00:25:48,600 Speaker 1: how can this casino afford to give me a free 457 00:25:48,720 --> 00:25:52,200 Speaker 1: room and a free buffet. Yeah, because you're you're paying 458 00:25:52,280 --> 00:25:55,880 Speaker 1: a triple for it at least. Well, anyway, we've we've 459 00:25:55,920 --> 00:25:59,280 Speaker 1: reached a point in the history of gambling where slot 460 00:25:59,320 --> 00:26:02,560 Speaker 1: machine play is now considered one of the most addictive 461 00:26:02,680 --> 00:26:07,080 Speaker 1: forms of gambling. It is powerful, it's insidious, it knows 462 00:26:07,119 --> 00:26:10,960 Speaker 1: exactly how to work us. We're not playing the slot machines, 463 00:26:11,040 --> 00:26:15,040 Speaker 1: they're playing us. One great example is that we we 464 00:26:15,119 --> 00:26:17,800 Speaker 1: looked at one study that showed that we don't we're 465 00:26:17,800 --> 00:26:21,320 Speaker 1: not even aware that we're losing necessarily when we play 466 00:26:21,359 --> 00:26:24,119 Speaker 1: certain slot machines. Right, that's right. Yeah, there's a two 467 00:26:24,160 --> 00:26:28,000 Speaker 1: thousand eleven paper titled Losses Disguised as Winds in Modern 468 00:26:28,080 --> 00:26:30,359 Speaker 1: Multi line Video Slot Machines, And this was published in 469 00:26:30,400 --> 00:26:35,160 Speaker 1: the journal Addiction. And so the main none of this 470 00:26:35,359 --> 00:26:37,960 Speaker 1: is that so your novice player, you walk in, you 471 00:26:38,040 --> 00:26:39,840 Speaker 1: check out one of these slot machines, and they're all 472 00:26:39,880 --> 00:26:44,240 Speaker 1: these bells and whistles and lights and cartoon characters and pharaohs, 473 00:26:44,359 --> 00:26:47,359 Speaker 1: you know what have you just flashing at you and uh, 474 00:26:47,440 --> 00:26:49,800 Speaker 1: and it's giving you, you know, a sense of emotional 475 00:26:49,840 --> 00:26:53,480 Speaker 1: arousal when you win, but it's also giving you a 476 00:26:53,480 --> 00:26:57,920 Speaker 1: sensitive emotional arousal arousal even when you're losing money. Because 477 00:26:58,760 --> 00:27:01,119 Speaker 1: for instance, let's say you put and I probably have 478 00:27:01,160 --> 00:27:03,600 Speaker 1: the amounts here wrong. But let's say you put in 479 00:27:03,680 --> 00:27:06,720 Speaker 1: fifty cents into the machine, right, and then uh, and 480 00:27:06,760 --> 00:27:11,600 Speaker 1: then woe celebration. Lights are flashing, horns are are are 481 00:27:11,640 --> 00:27:15,800 Speaker 1: are blaring because you just won cents. Yeah you actually 482 00:27:16,080 --> 00:27:19,159 Speaker 1: you lost money, but the machine is celebrating it and 483 00:27:19,200 --> 00:27:22,040 Speaker 1: giving you an emotional arousal based on your loss. Was 484 00:27:22,080 --> 00:27:24,400 Speaker 1: disguising your loss as a win. And then you keep 485 00:27:24,440 --> 00:27:26,919 Speaker 1: going because now you're just more invested. So you have 486 00:27:27,000 --> 00:27:29,480 Speaker 1: these machines that allow you to make five bets at 487 00:27:29,480 --> 00:27:32,359 Speaker 1: the same time, and say you win on one of 488 00:27:32,400 --> 00:27:35,040 Speaker 1: them and it pays back double. You're you're still behind, 489 00:27:35,160 --> 00:27:38,760 Speaker 1: You're still losing, but you you won something. Yeah, You're 490 00:27:38,840 --> 00:27:40,879 Speaker 1: you're doing pretty good, you know. Yeah, so you just 491 00:27:40,920 --> 00:27:43,919 Speaker 1: put some more coins in. But another type of study 492 00:27:43,920 --> 00:27:46,239 Speaker 1: I wanted to talk about, and this cellectually referred to 493 00:27:46,320 --> 00:27:49,120 Speaker 1: some older studies that I think are sort of foundational 494 00:27:49,359 --> 00:27:53,359 Speaker 1: in the in the history of gambling studies, is about 495 00:27:53,359 --> 00:27:56,800 Speaker 1: the irrationality of gambling, what's going on in the mind 496 00:27:57,080 --> 00:28:00,960 Speaker 1: of the gambler. So here's the situation unless you are 497 00:28:01,080 --> 00:28:05,880 Speaker 1: incredibly skilled at a perhaps certain type of game where 498 00:28:05,920 --> 00:28:07,919 Speaker 1: your skills give you an edge over the odds. This 499 00:28:08,000 --> 00:28:11,200 Speaker 1: might be something like poker, where you're playing against other players, 500 00:28:11,240 --> 00:28:13,440 Speaker 1: not necessarily against the house where the odds are set 501 00:28:13,440 --> 00:28:16,000 Speaker 1: against you. Though even in this case this is going 502 00:28:16,040 --> 00:28:18,400 Speaker 1: to be somewhat debatable. You probably think you're a better 503 00:28:18,440 --> 00:28:21,280 Speaker 1: poker player than you actually are. You're probably not really 504 00:28:21,320 --> 00:28:24,199 Speaker 1: the mint at threat that you think you're not. You 505 00:28:24,240 --> 00:28:27,360 Speaker 1: are not the through fear how out of poker. Walking 506 00:28:27,359 --> 00:28:31,080 Speaker 1: into a casino is almost never a good investment, unless 507 00:28:31,119 --> 00:28:33,320 Speaker 1: you're just planning to scam a free buffet and not 508 00:28:33,400 --> 00:28:37,840 Speaker 1: playing games. There's a reason casinos make money. As we've said, 509 00:28:37,840 --> 00:28:40,880 Speaker 1: the odds are always against you. The long term probabilities 510 00:28:41,000 --> 00:28:44,440 Speaker 1: always favor the house. But slot machines are a really, 511 00:28:44,720 --> 00:28:48,800 Speaker 1: really especially unlikely way to get a payoff. And furthermore, 512 00:28:48,960 --> 00:28:52,520 Speaker 1: this should not be news to anybody, because everybody knows 513 00:28:52,640 --> 00:28:56,160 Speaker 1: the odds are against them. Yeah, it's not a secret 514 00:28:56,360 --> 00:28:59,960 Speaker 1: that that slot machines are a poor use of your 515 00:29:00,080 --> 00:29:02,640 Speaker 1: time and money. Yeah yeah. And so if your goal 516 00:29:02,760 --> 00:29:06,400 Speaker 1: is a gambler is to let's say, knowingly spend a 517 00:29:06,400 --> 00:29:09,040 Speaker 1: little money just to have an experience, you know, maybe 518 00:29:09,120 --> 00:29:11,440 Speaker 1: to feel the thrill of a risk and chase the 519 00:29:11,480 --> 00:29:14,520 Speaker 1: ghost of a win. That might make some sense. But 520 00:29:14,600 --> 00:29:17,160 Speaker 1: if your goal is to make money, and for many 521 00:29:17,200 --> 00:29:20,200 Speaker 1: slot machine players and gamblers in general, this does seem 522 00:29:20,240 --> 00:29:23,640 Speaker 1: to be the goal. You are acting irrationally. There's not 523 00:29:23,920 --> 00:29:26,920 Speaker 1: there's not a different perspective about it. The odds are 524 00:29:26,920 --> 00:29:29,840 Speaker 1: against you. It's a mathematical truth that you are being 525 00:29:29,880 --> 00:29:33,320 Speaker 1: irrational and you're going to lose. So what is the 526 00:29:33,440 --> 00:29:36,200 Speaker 1: thinking of a slot machine player look like? Who's in 527 00:29:36,200 --> 00:29:39,880 Speaker 1: this situation? Historically studies have looked into this, but it's 528 00:29:39,920 --> 00:29:42,880 Speaker 1: kind of a difficult problem because how do you judge 529 00:29:42,920 --> 00:29:46,000 Speaker 1: what's going on in a gambler's head while he or 530 00:29:46,040 --> 00:29:50,000 Speaker 1: she is gambling. This is especially difficult because you can't 531 00:29:50,040 --> 00:29:54,840 Speaker 1: necessarily expect people to reflectively self report their attitudes and 532 00:29:54,920 --> 00:29:58,480 Speaker 1: thought processes accurately. You know, if you ask people after 533 00:29:58,520 --> 00:30:02,040 Speaker 1: a gambling session, you know, did you expect to win? 534 00:30:02,720 --> 00:30:06,080 Speaker 1: They might be rationalizing losses by saying no, no, I know, 535 00:30:06,160 --> 00:30:09,680 Speaker 1: it's just for entertainment, or they might not even realize 536 00:30:09,760 --> 00:30:13,520 Speaker 1: what cognitive processes are governing their behavior while they're sitting 537 00:30:13,560 --> 00:30:15,680 Speaker 1: at the machine. Yeah. I mean it's almost kind of 538 00:30:15,720 --> 00:30:17,800 Speaker 1: like if you were to quiz somebody about their late 539 00:30:17,880 --> 00:30:21,400 Speaker 1: night browser history in the in the light of the 540 00:30:21,680 --> 00:30:23,520 Speaker 1: waking day, you know that, because they're going to be 541 00:30:23,520 --> 00:30:25,520 Speaker 1: a little removed from who they were when they were 542 00:30:25,560 --> 00:30:29,440 Speaker 1: browsing those particular sites. Uh. There's kind of a you know, 543 00:30:30,000 --> 00:30:34,080 Speaker 1: a like a depressurization, uh to some to various experiences 544 00:30:34,080 --> 00:30:37,280 Speaker 1: in life where you you kind of let yourself become 545 00:30:37,400 --> 00:30:40,360 Speaker 1: seduced by say the lights and the environment of the 546 00:30:40,400 --> 00:30:43,720 Speaker 1: casino and and being the gambler as opposed to the 547 00:30:43,760 --> 00:30:46,440 Speaker 1: individual who's just you know, quizzed about his or her 548 00:30:46,480 --> 00:30:48,480 Speaker 1: gambling on the street the next day. And that's not 549 00:30:48,520 --> 00:30:51,520 Speaker 1: even factoring in any feelings of shame or regret you 550 00:30:51,600 --> 00:30:54,680 Speaker 1: might have. Sure, And I mean, yeah, I think it's 551 00:30:54,680 --> 00:30:57,640 Speaker 1: worth thinking about. Is really being in another state of mind? 552 00:30:57,720 --> 00:31:00,360 Speaker 1: I mean, can you always remember exactly how you were 553 00:31:00,400 --> 00:31:04,080 Speaker 1: thinking when you were on drugs? There have been several 554 00:31:04,080 --> 00:31:06,920 Speaker 1: studies that used a method that tried to get it 555 00:31:07,080 --> 00:31:10,040 Speaker 1: the thinking the cognition of of people who were in 556 00:31:10,080 --> 00:31:12,479 Speaker 1: the act of gambling by using a method we might 557 00:31:12,520 --> 00:31:17,200 Speaker 1: call the speaking allowed approach, and one often cited study 558 00:31:17,200 --> 00:31:20,640 Speaker 1: of this kind is from and it's called Irrational Thinking 559 00:31:20,680 --> 00:31:24,400 Speaker 1: among Slot Machine Players from the Journal of Gambling Studies 560 00:31:24,440 --> 00:31:27,320 Speaker 1: by Michael B. Walker of the University of Sydney. So 561 00:31:27,360 --> 00:31:29,280 Speaker 1: this is an older study, but I think the results 562 00:31:29,280 --> 00:31:32,560 Speaker 1: are still interesting and worth talking about because it's often 563 00:31:32,600 --> 00:31:36,520 Speaker 1: cited in the field. So the experiment was researchers recruited 564 00:31:36,560 --> 00:31:40,440 Speaker 1: twenty seven university students who regularly played one of three 565 00:31:40,640 --> 00:31:43,520 Speaker 1: types of electronic games. So you had people who played 566 00:31:43,520 --> 00:31:46,840 Speaker 1: slot machines, you had people who played video poker they 567 00:31:46,880 --> 00:31:51,120 Speaker 1: called video draw poker, and then they played another group 568 00:31:51,160 --> 00:31:55,080 Speaker 1: played what they called video amusement games, which from what 569 00:31:55,160 --> 00:31:58,240 Speaker 1: I could tell, I think just meant video games like 570 00:31:58,400 --> 00:32:02,800 Speaker 1: arcade games without a gambling component. That makes sense because yeah, 571 00:32:02,800 --> 00:32:05,240 Speaker 1: we would keep thinking about like slot machines versus video games. 572 00:32:05,240 --> 00:32:07,920 Speaker 1: Would makes sense that that would be uh, that would 573 00:32:07,920 --> 00:32:10,520 Speaker 1: be the comparison. Yeah, And so the participants broke down 574 00:32:10,560 --> 00:32:13,760 Speaker 1: as nine slot machine players, eight video poker players, and 575 00:32:13,880 --> 00:32:18,240 Speaker 1: nine video amusement players, assuming that just means like arcade 576 00:32:18,240 --> 00:32:22,160 Speaker 1: game players. And all the players played each of the 577 00:32:22,200 --> 00:32:25,920 Speaker 1: three types of games for twenty or thirty minutes, starting 578 00:32:25,920 --> 00:32:29,040 Speaker 1: with their preferred game for thirty minutes. So slot machine 579 00:32:29,040 --> 00:32:32,520 Speaker 1: player played slot machines for thirty minutes UH and then 580 00:32:32,560 --> 00:32:34,479 Speaker 1: went on to play the other types of games for 581 00:32:34,520 --> 00:32:37,520 Speaker 1: thirty or twenty minutes, and they were instructed to explain 582 00:32:37,600 --> 00:32:41,560 Speaker 1: their thoughts out loud to a microphone tape recorder while 583 00:32:41,680 --> 00:32:45,040 Speaker 1: they were playing. The exact instructions were and a quote, 584 00:32:45,560 --> 00:32:47,640 Speaker 1: we want to know how you're playing the game. We 585 00:32:47,680 --> 00:32:49,880 Speaker 1: want you to talk all the time, so we know 586 00:32:50,040 --> 00:32:53,040 Speaker 1: what you are thinking about while you were playing the game. 587 00:32:53,400 --> 00:32:57,000 Speaker 1: When you were ready, we will begin recording. So they 588 00:32:57,000 --> 00:33:00,080 Speaker 1: recorded them talking while they were gambling or playing the 589 00:33:00,160 --> 00:33:04,120 Speaker 1: video game, and then afterwards they listen to these UH 590 00:33:04,240 --> 00:33:07,080 Speaker 1: to these recordings, and they categorized all the statements that 591 00:33:07,120 --> 00:33:11,120 Speaker 1: people made into five different types. One was descriptive, so 592 00:33:11,160 --> 00:33:15,920 Speaker 1: this is the player just describing what's happening. One is rational, 593 00:33:16,160 --> 00:33:19,200 Speaker 1: and this is a statement of strategy that is correct 594 00:33:19,480 --> 00:33:22,800 Speaker 1: or optimal with respect to winning in relation to the 595 00:33:22,800 --> 00:33:25,320 Speaker 1: structure of the game. That's how they described it. The 596 00:33:25,400 --> 00:33:28,200 Speaker 1: other one would be irrational, so this is a statement 597 00:33:28,200 --> 00:33:31,479 Speaker 1: of strategy that is incorrect or is or it's an 598 00:33:31,480 --> 00:33:34,680 Speaker 1: attempt to influence the outcome of the game in a 599 00:33:34,720 --> 00:33:37,280 Speaker 1: way that won't actually work the way that they said 600 00:33:37,360 --> 00:33:42,240 Speaker 1: is inappropriate. Um. The other is emotional, that's just expressing feelings. 601 00:33:42,240 --> 00:33:44,760 Speaker 1: And then they had a category for other like nonverbal 602 00:33:44,840 --> 00:33:49,959 Speaker 1: vocalizations for I guess when you just say like so irrational. 603 00:33:50,120 --> 00:33:51,920 Speaker 1: An example that would be like if I were to say, 604 00:33:52,240 --> 00:33:54,040 Speaker 1: all right, it's gotta it's gonna pay out. It's gotta 605 00:33:54,080 --> 00:33:56,320 Speaker 1: pay out, like next next time, I've just lost so 606 00:33:56,440 --> 00:33:58,560 Speaker 1: much that's I've got to win the next one. Yeah, 607 00:33:58,600 --> 00:34:01,040 Speaker 1: that that'd be a great example. And their example of 608 00:34:01,080 --> 00:34:06,960 Speaker 1: irrational thinking was anthropomorphizing or personalizing the machine, so saying 609 00:34:06,960 --> 00:34:10,319 Speaker 1: things like come on baby, or come to mama, or 610 00:34:10,760 --> 00:34:14,359 Speaker 1: you owe me, or you pay me and I'll pay you. 611 00:34:14,560 --> 00:34:16,600 Speaker 1: Those were all quoted in the studies. You pay me, 612 00:34:16,600 --> 00:34:20,359 Speaker 1: I'm going to reset the bargain. Yeah, exactly. You can't 613 00:34:20,400 --> 00:34:25,279 Speaker 1: bargain with the machine. Let me reprogram you with my mind. Um. So, 614 00:34:25,360 --> 00:34:28,600 Speaker 1: once the statements were categorized, the results indicated that the 615 00:34:28,680 --> 00:34:33,400 Speaker 1: highest rate of irrational statements were produced by slot players 616 00:34:33,640 --> 00:34:37,960 Speaker 1: playing slot machines, and the lowest were amusement gamers playing 617 00:34:38,000 --> 00:34:42,000 Speaker 1: their video games. So people were much more likely to 618 00:34:42,080 --> 00:34:46,000 Speaker 1: produce irrational statements if they were regular slot machine players 619 00:34:46,160 --> 00:34:50,279 Speaker 1: playing slot machines currently interesting, Like, I'm thinking back on 620 00:34:50,440 --> 00:34:52,480 Speaker 1: video game playing that I've done in the past, and 621 00:34:52,520 --> 00:34:55,640 Speaker 1: I can definitely remember times where it stops being fun 622 00:34:55,680 --> 00:34:58,000 Speaker 1: and it begins about it begins to be just about 623 00:34:58,040 --> 00:35:01,520 Speaker 1: like beating the level, and even you know, applying some 624 00:35:01,719 --> 00:35:04,239 Speaker 1: level of irrational and emotional thought to it, you know, 625 00:35:04,280 --> 00:35:07,840 Speaker 1: and and and anthropomorphizing the game in ways that go 626 00:35:08,040 --> 00:35:11,239 Speaker 1: beyond merely getting into character story. Yeah, though much more 627 00:35:11,280 --> 00:35:14,760 Speaker 1: often the people playing regular video games were making rational 628 00:35:14,840 --> 00:35:17,279 Speaker 1: statements about strategy. They're saying like, oh, I think I 629 00:35:17,320 --> 00:35:19,480 Speaker 1: need to jump on that thing, or you know, it's 630 00:35:19,480 --> 00:35:22,360 Speaker 1: something that's actually rational with respect to what's happening in 631 00:35:22,400 --> 00:35:25,120 Speaker 1: the game. And I'm just going to read a quote 632 00:35:25,120 --> 00:35:28,080 Speaker 1: about their results. So they said, out of all the 633 00:35:28,120 --> 00:35:31,200 Speaker 1: statements made by slot machine players when playing slot machines, 634 00:35:31,640 --> 00:35:36,400 Speaker 1: thirty eight percent were categorized as irrational. Furthermore, eighty percent 635 00:35:36,560 --> 00:35:39,720 Speaker 1: of strategic statements made by slot machine players while playing 636 00:35:39,760 --> 00:35:45,400 Speaker 1: slot machines were categorized as irrational. Though, I think one interesting, 637 00:35:45,840 --> 00:35:50,520 Speaker 1: uh qualification of this is what rational statements about strategy 638 00:35:50,600 --> 00:35:53,920 Speaker 1: could you make while playing a slot machine? Because I 639 00:35:53,960 --> 00:35:55,799 Speaker 1: mean you can, you can make a few I mean, 640 00:35:55,840 --> 00:35:58,160 Speaker 1: I guess you can just say, I guess I'll play 641 00:35:58,200 --> 00:36:01,360 Speaker 1: double bets this time, as long as you're not indicating 642 00:36:01,400 --> 00:36:03,920 Speaker 1: that you think you are controlling outcomes when you're not, 643 00:36:04,160 --> 00:36:06,200 Speaker 1: or something like that. But and so many of those 644 00:36:06,200 --> 00:36:09,320 Speaker 1: irrational statements are going to play directly into the mythology 645 00:36:09,360 --> 00:36:12,359 Speaker 1: of the slot machine, right, you know where it's where. 646 00:36:12,480 --> 00:36:14,360 Speaker 1: The mythology of the slot machine is that if you 647 00:36:14,960 --> 00:36:17,239 Speaker 1: you double down and you keep playing, that it's going 648 00:36:17,280 --> 00:36:20,520 Speaker 1: to pay off. Yeah. And so another study published in 649 00:36:20,560 --> 00:36:23,640 Speaker 1: two thousand in the Journal of Psychology was called Predictors 650 00:36:23,680 --> 00:36:26,880 Speaker 1: of Irrational Thinking and regular Slot machine Players, and it 651 00:36:27,000 --> 00:36:30,719 Speaker 1: followed up on these results testing more slot machine gamblers 652 00:36:30,760 --> 00:36:33,520 Speaker 1: with that same talk allowed method. Though I think it's 653 00:36:33,560 --> 00:36:37,560 Speaker 1: worth mentioning at this point that both of these studies 654 00:36:37,680 --> 00:36:42,320 Speaker 1: called out the potential limitations of the talk allowed method, 655 00:36:42,400 --> 00:36:45,640 Speaker 1: like the requirement to talk aloud about a game since 656 00:36:45,680 --> 00:36:49,799 Speaker 1: it's an unnatural activity, could be skewing results or subjective 657 00:36:49,840 --> 00:36:52,799 Speaker 1: attitudes and the participants. You you always want to be 658 00:36:52,840 --> 00:36:55,480 Speaker 1: careful about these kind of things that you might be 659 00:36:55,680 --> 00:37:00,839 Speaker 1: getting incorrect feedback because of the test conditions. But at 660 00:37:01,000 --> 00:37:04,200 Speaker 1: least with that qualification in mind. Uh, This study was 661 00:37:04,239 --> 00:37:07,279 Speaker 1: generally consistent with the previous findings, and they showed that 662 00:37:07,400 --> 00:37:11,920 Speaker 1: strategic statements made about slot machine gaming were very often irrational. 663 00:37:13,200 --> 00:37:17,160 Speaker 1: Of all statements made were irrational, and seventy percent of 664 00:37:17,160 --> 00:37:21,279 Speaker 1: all game related or strategic verbalizations were irrational. And then 665 00:37:21,320 --> 00:37:24,800 Speaker 1: I thought this was really interesting. They offered different categories 666 00:37:24,840 --> 00:37:29,880 Speaker 1: of irrational statements and showed what percentage of irrational statements 667 00:37:29,920 --> 00:37:32,520 Speaker 1: they made up. So one category they had was like 668 00:37:32,680 --> 00:37:37,000 Speaker 1: superstitious rituals, hypotheses or predictions, So this is would be 669 00:37:37,040 --> 00:37:40,480 Speaker 1: like I gotta dud my my my my rabbit's foot, right, 670 00:37:40,520 --> 00:37:42,359 Speaker 1: had I need to lick the machine before I play 671 00:37:42,400 --> 00:37:45,799 Speaker 1: at this? Right? These are all just false strategies of 672 00:37:45,840 --> 00:37:49,200 Speaker 1: thinking you can influence the outcomes of the machine or 673 00:37:49,719 --> 00:37:54,440 Speaker 1: or predictions based on things that that had no validity saying, 674 00:37:54,719 --> 00:37:57,200 Speaker 1: so like the gambler's fallacy, I think would be part 675 00:37:57,239 --> 00:37:59,200 Speaker 1: of this, saying like oh, if I've just lost a 676 00:37:59,200 --> 00:38:03,080 Speaker 1: bunch of times in a row, I'm due. And this 677 00:38:03,200 --> 00:38:05,920 Speaker 1: was fifty pc of all irrational statements, so this is 678 00:38:05,960 --> 00:38:07,920 Speaker 1: a lot of them. Another one that I thought was 679 00:38:07,960 --> 00:38:12,880 Speaker 1: really interesting was the category called inappropriate rationalization of near misses. 680 00:38:13,600 --> 00:38:15,960 Speaker 1: The way they explained this was they said these statements 681 00:38:16,000 --> 00:38:19,480 Speaker 1: classified as irrational implied the player believed the machine was 682 00:38:19,600 --> 00:38:23,600 Speaker 1: cheating or stopping them from winning by not providing all 683 00:38:23,640 --> 00:38:26,960 Speaker 1: the winning symbols. And that's that's interesting because it kind 684 00:38:26,960 --> 00:38:28,680 Speaker 1: of gets to the heart of it. But it's like 685 00:38:28,719 --> 00:38:31,120 Speaker 1: the machine. Yes, the machine is cheating you, but it's 686 00:38:31,200 --> 00:38:34,600 Speaker 1: cheating you in a very systematic way, not in this 687 00:38:34,719 --> 00:38:38,000 Speaker 1: clumsy way that you're attributing right exactly, So they're calling 688 00:38:38,000 --> 00:38:41,880 Speaker 1: out capricious cheating when actually it's very methodical cheating. The 689 00:38:42,040 --> 00:38:47,200 Speaker 1: other big category was personification of the machines of all 690 00:38:47,239 --> 00:38:50,359 Speaker 1: irrational statements, and this is what it sounds like. It's 691 00:38:50,360 --> 00:38:53,280 Speaker 1: any statement where the players trying to make a bargain 692 00:38:53,320 --> 00:38:56,760 Speaker 1: with the machine or attribute thoughts or emotions to it, 693 00:38:56,880 --> 00:39:01,080 Speaker 1: or sometimes like yelling insults at the machine. These were 694 00:39:01,120 --> 00:39:04,160 Speaker 1: also classified as irrational. And then the other twelve percent 695 00:39:04,200 --> 00:39:09,000 Speaker 1: were statements that were belief in personal luck. Yes, though, 696 00:39:09,000 --> 00:39:10,960 Speaker 1: a thing I thought was interesting was they said they 697 00:39:11,000 --> 00:39:14,919 Speaker 1: didn't find any references to personal skill, so at least 698 00:39:14,960 --> 00:39:18,520 Speaker 1: the gamblers weren't saying things that suggested that they thought 699 00:39:18,520 --> 00:39:21,359 Speaker 1: skill was involved in the playing of slot machines. Yeah, 700 00:39:21,440 --> 00:39:25,000 Speaker 1: tell them almost more like a religious act, Like the 701 00:39:25,239 --> 00:39:30,200 Speaker 1: slot machine becomes this uh this, uh, this this metaphor 702 00:39:30,239 --> 00:39:34,520 Speaker 1: for our interaction with the world and with our life. Yeah. 703 00:39:34,800 --> 00:39:36,959 Speaker 1: I think that's definitely a good way of putting it there. 704 00:39:36,960 --> 00:39:40,040 Speaker 1: There are hidden forces at work, and so they were 705 00:39:40,040 --> 00:39:44,360 Speaker 1: looking for correlated predictors of irrationality in this study. They're like, Okay, 706 00:39:44,360 --> 00:39:47,080 Speaker 1: are there are other conditions that if these hold, you're 707 00:39:47,120 --> 00:39:49,920 Speaker 1: more likely to see irrational behavior sitting in front of 708 00:39:49,920 --> 00:39:53,120 Speaker 1: the slot machine. And so one thing they looked for 709 00:39:53,200 --> 00:39:56,719 Speaker 1: and did not find as a correlation between the percentage 710 00:39:56,719 --> 00:39:59,879 Speaker 1: of winds and irrationality. So doesn't matter how much you win, 711 00:40:00,520 --> 00:40:04,080 Speaker 1: that doesn't change how irrational you are. They did find 712 00:40:04,120 --> 00:40:07,560 Speaker 1: a correlation between risk taking in irrationality. The players who 713 00:40:07,640 --> 00:40:11,239 Speaker 1: bet more at a time and took higher risks generated 714 00:40:11,320 --> 00:40:15,399 Speaker 1: more irrational statements in general. Uh, though not necessarily when 715 00:40:15,440 --> 00:40:20,000 Speaker 1: analyzed specifically with regard to strategic statements, just the general statements. 716 00:40:20,800 --> 00:40:23,520 Speaker 1: But from both of these studies, there's an ongoing tension 717 00:40:23,560 --> 00:40:27,160 Speaker 1: between the fact that slot machine gamblers often seem to 718 00:40:27,480 --> 00:40:31,200 Speaker 1: display irrational behaviors while they're in the act. So you're 719 00:40:31,239 --> 00:40:34,520 Speaker 1: sitting there in front of the slot machine gambling and 720 00:40:34,600 --> 00:40:37,440 Speaker 1: you're being irrational. But then when you're not in the 721 00:40:37,480 --> 00:40:42,040 Speaker 1: act of playing, you report rational attitudes towards the activity. 722 00:40:42,120 --> 00:40:44,319 Speaker 1: So after you get out of the casino and you're 723 00:40:44,320 --> 00:40:48,000 Speaker 1: giving a survey, you know you're you're answering questions about 724 00:40:48,080 --> 00:40:51,080 Speaker 1: the act of gambling, you will say things that indicate 725 00:40:51,160 --> 00:40:54,560 Speaker 1: you realize it's pure chance. You're likely to lose, you're 726 00:40:54,600 --> 00:40:56,759 Speaker 1: not likely to win money, you have no way of 727 00:40:56,800 --> 00:41:00,520 Speaker 1: influencing the machine. I don't know. I think that's interesting, 728 00:41:00,640 --> 00:41:04,000 Speaker 1: like the disconnect between our cognition while we're playing and 729 00:41:04,080 --> 00:41:06,719 Speaker 1: our cognition when we're not playing. Yeah, I mean, it's 730 00:41:06,719 --> 00:41:09,080 Speaker 1: almost like you're in sourcel Right, It's like talking to 731 00:41:09,200 --> 00:41:11,279 Speaker 1: the sailor who gets dragged into the water by the 732 00:41:11,320 --> 00:41:14,680 Speaker 1: siren every day and on the shore he's like, yeah, 733 00:41:14,719 --> 00:41:18,080 Speaker 1: I know that she's part fish and that she's basically 734 00:41:18,120 --> 00:41:20,200 Speaker 1: just hypnotizing me and trying to drag me to a 735 00:41:20,200 --> 00:41:23,920 Speaker 1: watery death. Um, I know all that stuff. Why do 736 00:41:24,000 --> 00:41:25,319 Speaker 1: you wind it when we have to drag you out 737 00:41:25,320 --> 00:41:28,080 Speaker 1: of the water every day? Why? Why why does she 738 00:41:28,120 --> 00:41:31,120 Speaker 1: continue to control you? So? Yeah, there was an interesting 739 00:41:31,239 --> 00:41:33,520 Speaker 1: paper that I just looked at briefly from two thousand 740 00:41:33,600 --> 00:41:36,439 Speaker 1: ten that referred to exactly this disconnect, to this going 741 00:41:36,480 --> 00:41:39,200 Speaker 1: back and forth between modes of cognition and referred to 742 00:41:39,280 --> 00:41:43,080 Speaker 1: it as double switching. But that's of course just looking 743 00:41:43,120 --> 00:41:46,000 Speaker 1: at the mind of the gamble, or another element that 744 00:41:46,520 --> 00:41:50,640 Speaker 1: very much comes into gambling is looking at not necessarily 745 00:41:50,680 --> 00:41:54,760 Speaker 1: the mind, but the perceived mind of the machine. Yes, 746 00:41:54,920 --> 00:41:57,800 Speaker 1: this is really interesting, And there's a two thousand fifteen 747 00:41:57,880 --> 00:42:00,360 Speaker 1: study just came out from the University of Alno but 748 00:42:00,480 --> 00:42:07,200 Speaker 1: Coca from researchers Paolo Riva, Simona Sacchi, and Marco Brambella. 749 00:42:07,960 --> 00:42:10,760 Speaker 1: And there's actually a great quote in here that invokes 750 00:42:10,800 --> 00:42:15,000 Speaker 1: another mythological creature. They say it is possible that similar 751 00:42:15,040 --> 00:42:18,719 Speaker 1: to how in ancient mythology, challengers perceived the sphinx as 752 00:42:18,760 --> 00:42:22,440 Speaker 1: possessing a human like mind and intelligence, the gambling industry 753 00:42:22,480 --> 00:42:26,399 Speaker 1: is selling customers a challenge against a mind rather than 754 00:42:26,440 --> 00:42:29,279 Speaker 1: just a machine or a computer algorithm. So it's the 755 00:42:29,360 --> 00:42:32,319 Speaker 1: best of both worlds. It's like you get to combine 756 00:42:32,960 --> 00:42:36,280 Speaker 1: the safety and low stakes and and kind of comfort 757 00:42:36,440 --> 00:42:40,040 Speaker 1: zone aspects of the slot machine with the thrill of 758 00:42:40,080 --> 00:42:44,640 Speaker 1: playing against another player in poker, right, Yeah, it's um. 759 00:42:44,680 --> 00:42:47,560 Speaker 1: And so we've we've mentioned personifying the machine already, So 760 00:42:47,600 --> 00:42:52,279 Speaker 1: this paper is not the first to discuss anthropomorphization and 761 00:42:52,440 --> 00:42:54,719 Speaker 1: uh slot machine gambling. No, like I said, in those 762 00:42:54,760 --> 00:42:58,120 Speaker 1: earlier papers, they found personifying the machine was very common. Yeah, 763 00:42:58,160 --> 00:43:00,200 Speaker 1: but this is the this is the first to really, 764 00:43:00,440 --> 00:43:05,680 Speaker 1: um look at how anthromorism plays into the excitement engagement 765 00:43:05,760 --> 00:43:08,680 Speaker 1: level and how it affects, uh, how much money you 766 00:43:08,760 --> 00:43:16,520 Speaker 1: end up losing in the venture. Yeah. I know I've seen, 767 00:43:16,640 --> 00:43:18,879 Speaker 1: especially based on some of the stuff you dug up, 768 00:43:18,920 --> 00:43:22,040 Speaker 1: that past designs of slot machines have very much tried 769 00:43:22,120 --> 00:43:26,000 Speaker 1: to suggest humanity in just the look and feel of 770 00:43:26,040 --> 00:43:29,120 Speaker 1: the machine. Yeah, the like the paper mentioned, Oh yeah, 771 00:43:29,120 --> 00:43:32,279 Speaker 1: you'll you'll see these slot machines and they'll have pharaohs 772 00:43:32,360 --> 00:43:35,160 Speaker 1: and women and muscleman on them. And that's all well 773 00:43:35,200 --> 00:43:37,480 Speaker 1: and good. But I was not expected to find what 774 00:43:37,560 --> 00:43:40,239 Speaker 1: I found when I was looking at Getty images uh 775 00:43:40,600 --> 00:43:43,879 Speaker 1: A nineteen fifty two. Uh, I believe image of a 776 00:43:43,960 --> 00:43:47,920 Speaker 1: blonde bombshell, which is essentially imagine a kind of a 777 00:43:47,960 --> 00:43:51,279 Speaker 1: Marilyn Monroe looking pin up mannequin. And then it's just 778 00:43:51,320 --> 00:43:54,480 Speaker 1: a slot machine that they slide into her torso and 779 00:43:54,520 --> 00:43:57,960 Speaker 1: she's just standing it's horrified. Yeah, she's just standing in 780 00:43:58,040 --> 00:44:01,600 Speaker 1: a I believe it was a Death Valley, California bar 781 00:44:01,719 --> 00:44:04,880 Speaker 1: or gas station or something. Now, is this a a 782 00:44:04,920 --> 00:44:07,840 Speaker 1: sexualized figure of a woman that just happens to have 783 00:44:07,880 --> 00:44:10,120 Speaker 1: a lever poking out of it? Or is the lever 784 00:44:10,320 --> 00:44:12,560 Speaker 1: like her arm or something? Oh no, it's just a lever. 785 00:44:12,719 --> 00:44:16,759 Speaker 1: It's like it's it's it's like it's it's almost as 786 00:44:16,760 --> 00:44:18,600 Speaker 1: if you were to take like a corpse and just 787 00:44:18,719 --> 00:44:22,120 Speaker 1: like slab a gambling machine in the middle. You know. 788 00:44:22,200 --> 00:44:26,200 Speaker 1: It's just it's not an artful um convergence of the 789 00:44:26,239 --> 00:44:29,560 Speaker 1: female form and the gambling machine. It's very rough and 790 00:44:29,640 --> 00:44:32,719 Speaker 1: heavy handed and uh and yet seems to call out 791 00:44:32,719 --> 00:44:35,640 Speaker 1: to you and say, hey, play this gambling machine, woman, 792 00:44:36,960 --> 00:44:40,560 Speaker 1: let us transparently manipulate your brain. Yeah. You know. Also, 793 00:44:40,760 --> 00:44:42,319 Speaker 1: I was I noticed in one of the sites we're 794 00:44:42,320 --> 00:44:44,920 Speaker 1: looking at that had a lot of like retro slot 795 00:44:44,960 --> 00:44:48,520 Speaker 1: machine collectibles. Uh. The guy there was sent it selling 796 00:44:48,600 --> 00:44:52,520 Speaker 1: a bandit head from a one arm bandit What a 797 00:44:52,520 --> 00:44:54,440 Speaker 1: bandit head? Yeah, you can buy it for a hundred 798 00:44:54,440 --> 00:44:57,400 Speaker 1: and fifty bucks on eBay, but it's explicitly claiming to 799 00:44:57,520 --> 00:44:59,839 Speaker 1: rob you. Yeah, it's the one armed bandit. So let's 800 00:44:59,840 --> 00:45:02,040 Speaker 1: just ahead and put this uh, you know, this head 801 00:45:02,080 --> 00:45:04,439 Speaker 1: on top, like a paper mache head with a cowboy hat, 802 00:45:04,640 --> 00:45:07,400 Speaker 1: and then you can go duel with it. Yeah. But 803 00:45:07,480 --> 00:45:10,640 Speaker 1: the thing is that, the thing about anthropomorphization and anthropomorphism 804 00:45:10,680 --> 00:45:14,120 Speaker 1: in general is that it permeates everything we do. Right. Yeah, 805 00:45:14,239 --> 00:45:16,719 Speaker 1: and it's uh and it's paradoxical at times, like it's 806 00:45:16,719 --> 00:45:19,120 Speaker 1: the it's at once. It's the force that makes it 807 00:45:19,200 --> 00:45:22,480 Speaker 1: easier to kick a garbage can because you think it's 808 00:45:22,480 --> 00:45:25,520 Speaker 1: a person, you know, like you make that garbage can, 809 00:45:25,560 --> 00:45:27,880 Speaker 1: you personify it as a somebody you're mad at, and 810 00:45:27,880 --> 00:45:30,040 Speaker 1: you kick it. But also if you draw a face 811 00:45:30,080 --> 00:45:32,200 Speaker 1: on a garbage can, it makes it a little harder 812 00:45:32,239 --> 00:45:34,799 Speaker 1: to kick the garbage can because it's you've you've given 813 00:45:34,800 --> 00:45:37,680 Speaker 1: it some sort of like innocent personhood. Oh, I mean, 814 00:45:37,960 --> 00:45:41,319 Speaker 1: I bet you treat your computer like a person. Sometimes 815 00:45:41,400 --> 00:45:44,160 Speaker 1: you don't really think it has a mind and emotions, 816 00:45:44,200 --> 00:45:46,600 Speaker 1: but sometimes it feels that way when it's slow, when 817 00:45:46,640 --> 00:45:49,960 Speaker 1: it's lagging, when it's causing you problems. This person is 818 00:45:50,080 --> 00:45:53,520 Speaker 1: messing up your day. They are so annoying. Yeah, I mean, 819 00:45:53,520 --> 00:45:55,759 Speaker 1: and it's also of course a huge part, if not 820 00:45:55,920 --> 00:45:59,760 Speaker 1: the key part of our religious thinking and our religious worldviews, 821 00:45:59,760 --> 00:46:05,520 Speaker 1: where we attribute consciousness to the universe. We anthropomorphize the universe, Yeah, 822 00:46:05,560 --> 00:46:08,000 Speaker 1: either in the form of a single deity or in 823 00:46:08,120 --> 00:46:12,480 Speaker 1: an array of deities representing various personified aspects of reality. Well, 824 00:46:12,520 --> 00:46:15,560 Speaker 1: I think that's something that complicates this view of looking 825 00:46:15,600 --> 00:46:19,360 Speaker 1: at slot machines as as agents or as people. Again, 826 00:46:19,680 --> 00:46:23,040 Speaker 1: nobody really thinks the slot machine is a person, but 827 00:46:23,160 --> 00:46:25,399 Speaker 1: they can start thinking in those ways. And then there's 828 00:46:25,440 --> 00:46:29,320 Speaker 1: also a complicated interplay between the ghost of the person 829 00:46:29,360 --> 00:46:32,160 Speaker 1: you imagine is in the slot machine and this sort 830 00:46:32,200 --> 00:46:37,040 Speaker 1: of larger universal ghost, you know, lady Luck, the mind 831 00:46:37,120 --> 00:46:39,960 Speaker 1: of the universe that's handing out wins and losses. And 832 00:46:39,960 --> 00:46:43,080 Speaker 1: to what extent is that the machine itself or is 833 00:46:43,120 --> 00:46:46,359 Speaker 1: that this third external force that's watching over the both 834 00:46:46,400 --> 00:46:49,920 Speaker 1: of you. Yeah. Indeed, So the researchers in this two 835 00:46:49,920 --> 00:46:51,880 Speaker 1: thousand fifteen study, this is what they did. They have 836 00:46:52,360 --> 00:46:54,960 Speaker 1: first they did they did four experiments in total, but 837 00:46:55,000 --> 00:46:57,600 Speaker 1: the first three were with a small study, so like 838 00:46:57,600 --> 00:47:00,040 Speaker 1: a very small sample size, really a quality quas I 839 00:47:00,160 --> 00:47:04,240 Speaker 1: study participants were a group of fifteen regular slot machine 840 00:47:04,239 --> 00:47:07,400 Speaker 1: players in a group of fifteen non regular slot machine players. 841 00:47:07,719 --> 00:47:10,439 Speaker 1: And then what they did is they primed the individuals 842 00:47:10,920 --> 00:47:15,880 Speaker 1: before they interacted with these machines. So all the anthropomorphization 843 00:47:16,000 --> 00:47:18,640 Speaker 1: is taking place here, it's not. It doesn't involve any 844 00:47:18,640 --> 00:47:22,480 Speaker 1: physical anthropomorphization. There are no heads, there are no mannequins. 845 00:47:22,760 --> 00:47:25,920 Speaker 1: It's all about priming them with just with a description. Yeah, 846 00:47:25,960 --> 00:47:30,080 Speaker 1: they're just given text. But the text actually proved pretty 847 00:47:30,120 --> 00:47:32,600 Speaker 1: interesting and how it affected the way they thought about 848 00:47:32,640 --> 00:47:34,560 Speaker 1: the game and the relationship with the machine. I think 849 00:47:34,560 --> 00:47:37,160 Speaker 1: we should actually read out the text because I think 850 00:47:37,160 --> 00:47:41,400 Speaker 1: the differences are interesting. Okay, this is the anthropomorphizing priming 851 00:47:41,440 --> 00:47:44,360 Speaker 1: text from Steady One. Remember that when you play with 852 00:47:44,400 --> 00:47:47,920 Speaker 1: a slot machine, you don't need to implement any particular strategy. Indeed, 853 00:47:47,920 --> 00:47:50,960 Speaker 1: the slot machine can decide whether you will win or 854 00:47:51,040 --> 00:47:54,759 Speaker 1: lose a series of bets anytime she wants. Sometimes she 855 00:47:54,840 --> 00:47:57,280 Speaker 1: may choose to make fun of you, leaving you empty 856 00:47:57,320 --> 00:48:00,080 Speaker 1: handed for several bets. Other times she might want to 857 00:48:00,280 --> 00:48:03,080 Speaker 1: reward you with a win. In any case, the slot 858 00:48:03,120 --> 00:48:06,520 Speaker 1: machine will always choose what will happen. You just have 859 00:48:06,640 --> 00:48:10,040 Speaker 1: to start playing and see what happens. So some people 860 00:48:10,080 --> 00:48:13,160 Speaker 1: got that one other people got remember that when you 861 00:48:13,160 --> 00:48:15,399 Speaker 1: play a slot machine, you don't need to implement any 862 00:48:15,440 --> 00:48:18,680 Speaker 1: particular strategy. Instead, the slot machine is controlled by a 863 00:48:18,719 --> 00:48:22,000 Speaker 1: mathematical algorithm that is programmed to deliver a certain overall 864 00:48:22,080 --> 00:48:24,960 Speaker 1: number of wins and losses. Based on this algorithm, you 865 00:48:24,960 --> 00:48:27,520 Speaker 1: can win or lose a series of bets in any case. 866 00:48:27,560 --> 00:48:29,800 Speaker 1: The outcome of each turn of the reels is always 867 00:48:29,880 --> 00:48:32,480 Speaker 1: run by a computer algorithm. You just have to start 868 00:48:32,560 --> 00:48:35,200 Speaker 1: playing and see what happens. So both are saying essentially 869 00:48:35,280 --> 00:48:37,759 Speaker 1: the same thing, like there's a there's a force here, 870 00:48:37,920 --> 00:48:40,920 Speaker 1: there's already in play, and you cannot win against it. 871 00:48:41,040 --> 00:48:43,719 Speaker 1: But in one case it's she, and then the other 872 00:48:43,760 --> 00:48:47,440 Speaker 1: case it's it. Yet they found that an anthropomorphized description 873 00:48:47,440 --> 00:48:51,160 Speaker 1: of the slot machine increased gambling behavior and reduced winnings, 874 00:48:51,200 --> 00:48:54,120 Speaker 1: and winnings, of course decreased because the gamblers were gambling 875 00:48:54,200 --> 00:48:58,040 Speaker 1: more on the anthropomorphized machine. Another moral about gambling, the 876 00:48:58,120 --> 00:49:00,640 Speaker 1: longer you play, the more you'll lose, and that that's 877 00:49:00,640 --> 00:49:02,759 Speaker 1: all it takes. Just get the individual playing more and 878 00:49:02,800 --> 00:49:06,120 Speaker 1: they will lose more, playing to extinction. So the first 879 00:49:06,120 --> 00:49:07,920 Speaker 1: study they did was more about just the time you 880 00:49:08,000 --> 00:49:12,560 Speaker 1: invested in it. It wasn't. Yeah. The second study, that 881 00:49:12,600 --> 00:49:16,560 Speaker 1: one involved real money or points, and study three tested 882 00:49:16,600 --> 00:49:20,520 Speaker 1: the emotional experience of the game okay um. Study three 883 00:49:20,520 --> 00:49:24,160 Speaker 1: provided initial evidence of a link between anthropomorphism of slot 884 00:49:24,239 --> 00:49:29,080 Speaker 1: machines with the participants emotional experience and their actual gambling behavior, 885 00:49:29,200 --> 00:49:33,080 Speaker 1: but specifically found that swat machine anthropomorphism increases the experience 886 00:49:33,120 --> 00:49:37,520 Speaker 1: of positive emotions, which leads people to gamble more. Now 887 00:49:37,719 --> 00:49:40,080 Speaker 1: the fourth study, this is where they took what they 888 00:49:40,160 --> 00:49:41,880 Speaker 1: learned from the first three and they applied it to 889 00:49:41,920 --> 00:49:45,160 Speaker 1: a much larger gree this time two individuals, and they 890 00:49:45,200 --> 00:49:49,759 Speaker 1: use candies instead of money or points or anything. So 891 00:49:50,239 --> 00:49:52,879 Speaker 1: this is a key. Though unlike study three, study four 892 00:49:52,960 --> 00:49:57,040 Speaker 1: did not provide support for their hypothesis that priming participants 893 00:49:57,040 --> 00:50:01,440 Speaker 1: with an anthropomorphic slot machine in t inmsically results in 894 00:50:01,480 --> 00:50:06,320 Speaker 1: a stronger emotional reaction except for low arousal negative emotions 895 00:50:06,320 --> 00:50:09,560 Speaker 1: such as fatigue so tired yeah so, And the researchers 896 00:50:09,600 --> 00:50:12,840 Speaker 1: aren't exactly sure why this why they weren't able to 897 00:50:13,080 --> 00:50:16,640 Speaker 1: repeat the same effect and steady four that about the emotions, 898 00:50:16,800 --> 00:50:19,279 Speaker 1: right about the emotion? Uh, They think that it might 899 00:50:19,280 --> 00:50:22,640 Speaker 1: be because of different measures they were using um between 900 00:50:22,680 --> 00:50:27,200 Speaker 1: three and four, so more studies required there. But the anthropomorphization, 901 00:50:27,320 --> 00:50:31,720 Speaker 1: the personification of the slot machine definitely did affect playing, 902 00:50:32,080 --> 00:50:34,920 Speaker 1: like the length of playtime and the losses as a 903 00:50:34,960 --> 00:50:38,080 Speaker 1: result of the length of playtime. Yes, yeah, and that's 904 00:50:38,120 --> 00:50:40,680 Speaker 1: one of the key take homes here, uh you know, 905 00:50:40,719 --> 00:50:43,200 Speaker 1: along with just some of the key points that came 906 00:50:43,239 --> 00:50:45,360 Speaker 1: out of the paper that the people exposed to a 907 00:50:45,440 --> 00:50:48,800 Speaker 1: humanized slot machine lost more points compared to people exposed 908 00:50:48,840 --> 00:50:53,680 Speaker 1: to non humanized slot machines. That anthropomorphization resulted in greater 909 00:50:53,760 --> 00:50:56,480 Speaker 1: loss of slot machine payouts. The people primed with the 910 00:50:56,560 --> 00:50:59,759 Speaker 1: humanized slot machine lost more slot machine payouts because they 911 00:50:59,760 --> 00:51:03,920 Speaker 1: went playing longer. And the theory is that it's all 912 00:51:03,960 --> 00:51:09,080 Speaker 1: about emotional arousal, which increases focus and engagement, forcing gamblers 913 00:51:09,080 --> 00:51:12,280 Speaker 1: to gamble more. That was the interpretation that they applied 914 00:51:12,360 --> 00:51:14,919 Speaker 1: to their emotional results, though there was, like you said, 915 00:51:14,920 --> 00:51:18,080 Speaker 1: there was some discrepancy in the emotional results. Yeah. And 916 00:51:18,120 --> 00:51:20,600 Speaker 1: then the final like take home from this study is 917 00:51:20,640 --> 00:51:24,279 Speaker 1: that the other side of the coin is that just 918 00:51:24,360 --> 00:51:28,680 Speaker 1: as you can potentially prime somebody with the anthropomorphizing uh 919 00:51:28,719 --> 00:51:31,239 Speaker 1: text and make them gamble more that this might be 920 00:51:31,239 --> 00:51:34,359 Speaker 1: a way to to, uh, to treat gambling behavior. Oh yeah, yeah, 921 00:51:34,400 --> 00:51:37,160 Speaker 1: So if you're trying to discourage people from spending their 922 00:51:37,160 --> 00:51:40,920 Speaker 1: life savings on a slot machine, it perhaps could help 923 00:51:41,280 --> 00:51:43,920 Speaker 1: or at least mitigate the effects, just to constantly remind 924 00:51:43,920 --> 00:51:47,120 Speaker 1: people that it's a machine working by an algorithm. Yeah. Like, 925 00:51:47,280 --> 00:51:49,600 Speaker 1: of course the casinos don't want to do that. They 926 00:51:49,600 --> 00:51:52,920 Speaker 1: want you to play to extinction. But I don't know. 927 00:51:52,960 --> 00:51:55,440 Speaker 1: I think the idea is maybe that a law could 928 00:51:55,520 --> 00:52:00,640 Speaker 1: require casinos too, I don't know, emphasize the imp personality 929 00:52:00,719 --> 00:52:03,480 Speaker 1: of slot machines. Yeah, Like imagine I think of the 930 00:52:03,560 --> 00:52:07,319 Speaker 1: legislation that takes place around cigarettes and tobacco, right you often, 931 00:52:07,400 --> 00:52:09,600 Speaker 1: you know, it's about like, let's make make it less sexy, 932 00:52:09,640 --> 00:52:12,880 Speaker 1: make it less appealing, put a big scary warning on it, 933 00:52:13,280 --> 00:52:16,480 Speaker 1: I mean, realistic warning on it about the the ill effects. 934 00:52:16,840 --> 00:52:18,880 Speaker 1: What if that was applied to a slot machine where 935 00:52:19,719 --> 00:52:23,400 Speaker 1: you cannot anthropomorphize it. It has to be less flashy, 936 00:52:23,560 --> 00:52:26,200 Speaker 1: and there has to be a big, big plate on 937 00:52:26,239 --> 00:52:28,279 Speaker 1: the front of it that tells you this is all 938 00:52:28,320 --> 00:52:31,719 Speaker 1: about the algorithm and you're not gonna win. Surgeon General's 939 00:52:31,719 --> 00:52:34,560 Speaker 1: warning there is no fickle God or God us inside 940 00:52:34,600 --> 00:52:38,440 Speaker 1: this machine. One of the other interesting things about the 941 00:52:38,440 --> 00:52:41,760 Speaker 1: study though, was that it only looked at a verbal priming. 942 00:52:41,840 --> 00:52:45,000 Speaker 1: Like we said, so people were either given as a 943 00:52:45,080 --> 00:52:47,840 Speaker 1: verbal description saying it's just an algorithm, or a verbal 944 00:52:47,880 --> 00:52:51,240 Speaker 1: description saying she wants to reward you. Sometimes she takes 945 00:52:51,239 --> 00:52:54,239 Speaker 1: your money the other times. It would be interesting to 946 00:52:54,239 --> 00:52:57,040 Speaker 1: see the results of visual priming along these lines, like 947 00:52:57,080 --> 00:53:00,160 Speaker 1: a machine that just looks like a flat blank machinean 948 00:53:00,400 --> 00:53:03,800 Speaker 1: or a machine that's like our like our Marilyn Monroe machine. 949 00:53:03,880 --> 00:53:06,120 Speaker 1: It's very much dressed up to look like a human 950 00:53:06,560 --> 00:53:10,239 Speaker 1: and given given expressive visual emotions. Yeah, where I was 951 00:53:10,280 --> 00:53:13,400 Speaker 1: looking at some some YouTube clips, which is various slots 952 00:53:13,840 --> 00:53:15,840 Speaker 1: and a lot of them. How like when I was 953 00:53:15,840 --> 00:53:18,839 Speaker 1: looking at like, it wasn't just fruit and symbols rolling by, 954 00:53:18,880 --> 00:53:22,239 Speaker 1: but also like a barbarian woman with a panther, you know, 955 00:53:22,600 --> 00:53:26,520 Speaker 1: like what Yeah, like she's uh like like the top 956 00:53:26,560 --> 00:53:28,600 Speaker 1: half of her like ends up sinking up with the 957 00:53:28,640 --> 00:53:32,000 Speaker 1: bottom half, so it's essentially like a bikini woman is 958 00:53:32,080 --> 00:53:36,520 Speaker 1: one of the the icons on the slots. Okay, another 959 00:53:36,560 --> 00:53:39,160 Speaker 1: interesting finding I thought was that they pointed out in 960 00:53:39,160 --> 00:53:42,359 Speaker 1: their discussion section that while they were able to get 961 00:53:42,400 --> 00:53:46,600 Speaker 1: in all cases anthropomorphic thinking elevated by priming people with 962 00:53:46,640 --> 00:53:52,920 Speaker 1: this with this pro anthropomorphization text, Anthropomorphization was present in 963 00:53:53,040 --> 00:53:55,880 Speaker 1: both groups. So even the people who were given the 964 00:53:55,920 --> 00:53:58,800 Speaker 1: text that says it's just an algorithm, is just a machine, 965 00:53:59,239 --> 00:54:04,000 Speaker 1: still showed some anthropomorphic thinking. They still attributed some beliefs 966 00:54:04,000 --> 00:54:08,640 Speaker 1: and feelings and thoughts to the machine, less than the 967 00:54:08,680 --> 00:54:10,880 Speaker 1: other group, but there were still some there, And that 968 00:54:10,960 --> 00:54:14,720 Speaker 1: suggests that there's an inherent tendency to personalize the machine, 969 00:54:14,840 --> 00:54:18,560 Speaker 1: even when you're discouraged from doing so. Yeah, all the 970 00:54:18,640 --> 00:54:21,560 Speaker 1: machines are doing when they throw on ahead or or 971 00:54:21,600 --> 00:54:25,520 Speaker 1: any colorful imagery is they're just they're they're just encouraging 972 00:54:25,560 --> 00:54:29,760 Speaker 1: the pre existing tendency, you know. The idea about these 973 00:54:29,920 --> 00:54:32,719 Speaker 1: different ways of viewing the machine makes me think of 974 00:54:32,760 --> 00:54:36,680 Speaker 1: something I've read about in the philosopher Daniel Dennett's writings before, 975 00:54:36,719 --> 00:54:39,799 Speaker 1: where he talks about the idea of the the three 976 00:54:39,880 --> 00:54:43,840 Speaker 1: major stances that we take in reference to external objects, 977 00:54:44,080 --> 00:54:48,040 Speaker 1: which are the physical stance, the design stance, and the 978 00:54:48,080 --> 00:54:52,120 Speaker 1: intentional stance. And it's a way of understanding and predicting 979 00:54:52,200 --> 00:54:55,200 Speaker 1: what uh what third party objects are going to do. 980 00:54:56,080 --> 00:54:59,439 Speaker 1: And so if you say, see rocks rolling down a hill, 981 00:55:00,080 --> 00:55:01,480 Speaker 1: tend to think of this and what he would call 982 00:55:01,520 --> 00:55:05,320 Speaker 1: the physical stance, it's just it's just acting by physics, 983 00:55:05,719 --> 00:55:07,680 Speaker 1: and you can pretty much predict that they're going to 984 00:55:07,760 --> 00:55:11,880 Speaker 1: keep rolling downhill. When you look at an uh, maybe 985 00:55:11,920 --> 00:55:15,359 Speaker 1: an organism or or an object or something, you can 986 00:55:15,360 --> 00:55:17,799 Speaker 1: think about it in terms of the design stance, So 987 00:55:17,880 --> 00:55:22,000 Speaker 1: like an alarm clock is designed to act a certain way, 988 00:55:22,120 --> 00:55:26,360 Speaker 1: or an organism is designed by evolution to to achieve 989 00:55:26,400 --> 00:55:29,880 Speaker 1: a certain purpose, and you can think about it in 990 00:55:29,920 --> 00:55:32,080 Speaker 1: those terms because they have goals in mind, and it 991 00:55:32,200 --> 00:55:34,600 Speaker 1: sort of simplifies the factors we need to take into 992 00:55:34,680 --> 00:55:38,480 Speaker 1: consideration when predicting behavior. And then the third stance is 993 00:55:38,560 --> 00:55:41,600 Speaker 1: the intentional stance. That's how we think about agents. So 994 00:55:41,680 --> 00:55:44,480 Speaker 1: it would be like a person or a thinking or 995 00:55:44,520 --> 00:55:47,960 Speaker 1: a thinking animal. It it has things it wants to do. 996 00:55:48,680 --> 00:55:51,760 Speaker 1: And I think the idea is that you can apply 997 00:55:52,040 --> 00:55:55,040 Speaker 1: all three stances to something like a slot machine, like 998 00:55:55,120 --> 00:55:57,800 Speaker 1: it is governed by underlying physics, and if you wanted 999 00:55:57,840 --> 00:56:00,239 Speaker 1: to get really detailed, you could look at the six 1000 00:56:00,239 --> 00:56:03,440 Speaker 1: of all the electronics inside and how they determine what 1001 00:56:03,480 --> 00:56:05,759 Speaker 1: the machine does. You could look at it in the 1002 00:56:05,800 --> 00:56:08,840 Speaker 1: design stance, whereas it was made by a person who 1003 00:56:08,880 --> 00:56:11,040 Speaker 1: eat your money, to eat your money, and it does 1004 00:56:11,080 --> 00:56:13,400 Speaker 1: that very well. Or you could look at it from 1005 00:56:13,440 --> 00:56:15,640 Speaker 1: the intentional stance, and you could say it is an 1006 00:56:15,640 --> 00:56:19,120 Speaker 1: agent that wants to sometimes reward you with with with 1007 00:56:19,160 --> 00:56:22,640 Speaker 1: happy happy money times, and other times it will punish 1008 00:56:22,680 --> 00:56:24,880 Speaker 1: you for your hubers. What I love about this is 1009 00:56:24,920 --> 00:56:29,239 Speaker 1: that both the physical and the intention model are wrong here, 1010 00:56:29,280 --> 00:56:32,560 Speaker 1: Like only the design view is the one that actually 1011 00:56:32,560 --> 00:56:36,319 Speaker 1: gives you a realistic idea of what this machine is 1012 00:56:36,360 --> 00:56:38,200 Speaker 1: going to do to you. Well, I think you could 1013 00:56:38,280 --> 00:56:41,520 Speaker 1: say that the physical stance is not necessarily wrong, it's 1014 00:56:41,560 --> 00:56:44,960 Speaker 1: just unnecessary, Like there's no reason you would need to 1015 00:56:45,080 --> 00:56:47,719 Speaker 1: look at the physics of what every electron inside the 1016 00:56:47,760 --> 00:56:50,759 Speaker 1: machine is doing to understand it. Yeah, but but I 1017 00:56:50,800 --> 00:56:53,400 Speaker 1: think it that the physical doesn't give you a clear 1018 00:56:53,440 --> 00:56:55,759 Speaker 1: mind of what it's going to do to you, what 1019 00:56:56,120 --> 00:56:58,520 Speaker 1: it is designed like the design is it doesn't give 1020 00:56:58,520 --> 00:57:02,760 Speaker 1: you the tele the tele pology of the slot machine. Yeah, 1021 00:57:03,200 --> 00:57:06,279 Speaker 1: so that's that's interesting. But yeah, So the idea here 1022 00:57:06,320 --> 00:57:08,799 Speaker 1: is that we we can be primed to regard a 1023 00:57:08,840 --> 00:57:12,360 Speaker 1: slot machine within the intentional stance. But ideally, if you 1024 00:57:12,400 --> 00:57:15,120 Speaker 1: want to have people not spending so much money on 1025 00:57:15,160 --> 00:57:17,520 Speaker 1: slot machines, you want to remind them to think about 1026 00:57:17,560 --> 00:57:20,920 Speaker 1: it through the design stance. The design stance is is 1027 00:57:21,040 --> 00:57:24,200 Speaker 1: such a mood killer for slot machines. You know, whenever 1028 00:57:24,280 --> 00:57:26,800 Speaker 1: you're made to think about what the slot machine is 1029 00:57:26,920 --> 00:57:31,920 Speaker 1: designed to do, it it kills the magic. Yeah. Yeah, 1030 00:57:32,280 --> 00:57:37,400 Speaker 1: you you see through the facade to the nefarious purpose. Yeah. 1031 00:57:37,440 --> 00:57:41,480 Speaker 1: Another thing the anthropomorphization makes me think about is the 1032 00:57:41,520 --> 00:57:46,040 Speaker 1: future of electronic gambling, especially when combined with future generations 1033 00:57:46,080 --> 00:57:49,680 Speaker 1: of artificial intelligence. Yeah, what happens when the slot machine 1034 00:57:50,040 --> 00:57:54,000 Speaker 1: is not just in engaging in passive anthem amorphization, but 1035 00:57:54,080 --> 00:57:57,919 Speaker 1: also but like active personification to where it's actually it's 1036 00:57:57,920 --> 00:58:00,640 Speaker 1: talking back to it's engaging with you. It's it's essentially 1037 00:58:00,680 --> 00:58:04,400 Speaker 1: a chatter box trying to to get you to gamble 1038 00:58:04,440 --> 00:58:07,760 Speaker 1: more through conversation. Yeah, I mean, imagine the perfect AI 1039 00:58:07,920 --> 00:58:12,640 Speaker 1: chatter bought, Uh, you know, a slot machine off or 1040 00:58:12,680 --> 00:58:16,320 Speaker 1: whatever it's it's it's the Lady Luck slot machine and 1041 00:58:16,360 --> 00:58:19,640 Speaker 1: she chats oh so charming lee while she takes your 1042 00:58:19,640 --> 00:58:21,760 Speaker 1: coins one at a time. Or these days, I don't 1043 00:58:21,800 --> 00:58:23,760 Speaker 1: know if it's often even coins, and I think you 1044 00:58:23,840 --> 00:58:26,840 Speaker 1: get like you know, in the casinos of today, you 1045 00:58:26,920 --> 00:58:28,920 Speaker 1: might get like a card as a certain amount of 1046 00:58:28,920 --> 00:58:31,439 Speaker 1: credits on it, and it's slowly deducts, just a little 1047 00:58:31,440 --> 00:58:34,800 Speaker 1: bits at a time, a little bits at a time. 1048 00:58:35,320 --> 00:58:38,360 Speaker 1: All right. So there you have it. Great episode. I 1049 00:58:38,400 --> 00:58:41,320 Speaker 1: think one that that holds up. All the material here 1050 00:58:41,400 --> 00:58:44,000 Speaker 1: is pretty evergreen. But there has been a lot of 1051 00:58:44,080 --> 00:58:47,360 Speaker 1: research around this topic. And in fact, we were just 1052 00:58:47,480 --> 00:58:51,080 Speaker 1: looking around before we did the the the the the 1053 00:58:51,160 --> 00:58:54,120 Speaker 1: rereleased material here on the episode, and we saw that 1054 00:58:54,120 --> 00:58:58,800 Speaker 1: there's been some fascinating studies about rats rat slot machine tests. Yeah, 1055 00:58:58,840 --> 00:59:01,720 Speaker 1: that's a thing. So if you were interested, if you're 1056 00:59:01,760 --> 00:59:05,480 Speaker 1: if you were hungry for more uh slot machine content, 1057 00:59:06,040 --> 00:59:07,760 Speaker 1: we may come back and do a little something on 1058 00:59:08,200 --> 00:59:11,240 Speaker 1: rats and slot machine science. Let us know if that 1059 00:59:11,320 --> 00:59:15,080 Speaker 1: sounds like a good idea or a great idea. I wonder, now, 1060 00:59:15,520 --> 00:59:17,880 Speaker 1: if you've got a rat problem in your house, if 1061 00:59:17,960 --> 00:59:20,160 Speaker 1: it would be more humane then go into the rat 1062 00:59:20,200 --> 00:59:23,479 Speaker 1: trap and all the standard grizzly outcomes, if you could 1063 00:59:23,480 --> 00:59:26,400 Speaker 1: just get the rats to play to extinction, Yeah, it 1064 00:59:26,440 --> 00:59:27,920 Speaker 1: would be good. You know what I was having to 1065 00:59:27,960 --> 00:59:30,000 Speaker 1: do for a while, what we had mice coming to 1066 00:59:30,080 --> 00:59:33,280 Speaker 1: the house. I was using humane live traps, and at 1067 00:59:33,280 --> 00:59:35,560 Speaker 1: first I was being super nice with him. I would 1068 00:59:35,560 --> 00:59:37,520 Speaker 1: take them to a field. I would drive each mouse 1069 00:59:37,560 --> 00:59:40,480 Speaker 1: out to a field and release it. Um. But it 1070 00:59:40,560 --> 00:59:43,080 Speaker 1: got to be a bit too much work, especially if 1071 00:59:43,080 --> 00:59:44,919 Speaker 1: it's like ten thirty at night. You know, who wants 1072 00:59:44,960 --> 00:59:46,840 Speaker 1: to drive to a field or a mouse? So I 1073 00:59:46,880 --> 00:59:49,080 Speaker 1: would just drive them down to the local marta station, 1074 00:59:49,160 --> 00:59:51,920 Speaker 1: the local public transportation system and uh and let them 1075 00:59:52,000 --> 00:59:54,840 Speaker 1: loose there. You're you're a hero, right, could give them 1076 00:59:54,840 --> 00:59:57,000 Speaker 1: a fine chance, you know, uh, And I give them 1077 00:59:57,000 --> 00:59:58,840 Speaker 1: a little fair so that they could, you know, pay 1078 00:59:58,880 --> 01:00:00,640 Speaker 1: their way. That'll take an you were in the city, 1079 01:00:00,680 --> 01:00:04,520 Speaker 1: slice of pizza. Yeah, there you go. Alright, So hey, 1080 01:00:04,520 --> 01:00:06,560 Speaker 1: if you want to listen to more episodes of Stuff 1081 01:00:06,560 --> 01:00:08,040 Speaker 1: to Blow your Mind, If you want to explore more 1082 01:00:08,160 --> 01:00:10,840 Speaker 1: episodes from the back catalog, and there's a tremendous amountable 1083 01:00:11,000 --> 01:00:12,960 Speaker 1: of good stuff in there that you should check out, 1084 01:00:13,400 --> 01:00:15,640 Speaker 1: head on over to stuff to Blow your Mind dot com. 1085 01:00:15,680 --> 01:00:18,920 Speaker 1: That's where we'll find all the podcast episodes, tons of videos. 1086 01:00:18,960 --> 01:00:20,800 Speaker 1: You will find blog post as low as links out 1087 01:00:20,800 --> 01:00:26,120 Speaker 1: to our various social media accounts such as Facebook, Twitter, Tumbler, Instagram, 1088 01:00:26,240 --> 01:00:28,240 Speaker 1: and a little light And if you want to get 1089 01:00:28,280 --> 01:00:30,280 Speaker 1: in touch with us directly to let us know about 1090 01:00:30,440 --> 01:00:32,960 Speaker 1: feedback you have on this episode or any other. You 1091 01:00:33,000 --> 01:00:34,840 Speaker 1: want to let us know the topic you think we 1092 01:00:34,840 --> 01:00:36,760 Speaker 1: should do in the future, or you just want to 1093 01:00:36,840 --> 01:00:39,280 Speaker 1: check in, say hi, see how we're doing, let us 1094 01:00:39,280 --> 01:00:41,320 Speaker 1: know how you're doing. You can email us and blow 1095 01:00:41,360 --> 01:00:54,200 Speaker 1: the mind at how stuff works dot com for more 1096 01:00:54,280 --> 01:00:56,560 Speaker 1: on this and thousands of other topics. Is that how 1097 01:00:56,600 --> 01:01:08,480 Speaker 1: stuff works dot com a lot. Everybody believe in the 1098 01:01:09,000 --> 01:01:17,120 Speaker 1: Big Men ey T five five about first part far 1099 01:01:17,360 --> 01:01:17,400 Speaker 1: f