1 00:00:03,660 --> 00:00:08,241 We received a wonderful example of -- for the kinds of bargains we studied 2 00:00:08,502 --> 00:00:10,637 in the weeks on inductive reasoning. 3 00:00:11,000 --> 00:00:16,800 We studied generalization, and we studied applications of those generalizations. 4 00:00:17,380 --> 00:00:21,319 And using that for causal reasoning that we tested by manipulations 5 00:00:21,319 --> 00:00:23,660 and by the sufficient condition tests, 6 00:00:23,660 --> 00:00:27,866 and all of those are brought together in a wonderful little video. 7 00:00:27,866 --> 00:00:29,510 So, take a look. 8 00:00:30,433 --> 00:00:31,306 >> Hello. 9 00:00:31,670 --> 00:00:34,332 My name's Catriona, and I live in Sweden. 10 00:00:35,780 --> 00:00:40,158 I've spent many years, eating a little bit of chocolate everyday. 11 00:00:40,640 --> 00:00:45,708 And I've always strongly believed that eating chocolate makes you happier. 12 00:00:45,990 --> 00:00:50,270 In other words, most people will be in a better mood 13 00:00:50,270 --> 00:00:52,551 after they've eaten chocolate than before. 14 00:00:54,010 --> 00:00:56,200 And I'll give you four pieces of evidence 15 00:00:56,200 --> 00:00:57,970 in support of my conclusion. 16 00:00:58,790 --> 00:01:03,724 Evidence one: I've met a lot of people over the years 17 00:01:03,724 --> 00:01:09,424 and when I give them some of my chocolate, they always seem happy about it. 18 00:01:09,430 --> 00:01:14,420 I can't think of a single case of someone eating chocolate 19 00:01:14,420 --> 00:01:17,900 who hasn't looked satisfied afterwards. 20 00:01:19,650 --> 00:01:24,080 Evidence two: It could be that 21 00:01:24,080 --> 00:01:27,149 eating chocolate isn't really causing their happiness. 22 00:01:27,840 --> 00:01:30,130 They're just happy people eating chocolate. 23 00:01:31,580 --> 00:01:35,620 So, I asked unhappy people whether they ever eat chocolate. 24 00:01:35,620 --> 00:01:40,438 And they confirmed that they do, precisely because it cheers them up. 25 00:01:42,545 --> 00:01:43,934 Evidence three: 26 00:01:45,022 --> 00:01:51,419 Now, I went to a chocolate factory where the workers get free chocolate every day. 27 00:01:52,380 --> 00:01:56,136 And these people could theoretically be unhappy like the rest of us could. 28 00:01:56,890 --> 00:02:02,338 but they all had smiles on their faces, and some smears of chocolate. 29 00:02:04,320 --> 00:02:10,949 Evidence four: You may ask whether these people are also in love 30 00:02:10,949 --> 00:02:13,130 and it's love that's causing the happiness, 31 00:02:13,130 --> 00:02:14,538 not actually the chocolate. 32 00:02:15,760 --> 00:02:20,124 So I had to find people who eat chocolate, but are not in love. 33 00:02:21,439 --> 00:02:24,258 I did a mini survey at my corner shop. 34 00:02:24,940 --> 00:02:30,750 And 80% of the people who responded that they were not in love, 35 00:02:30,771 --> 00:02:34,900 reported that they definitely felt their mood improve 36 00:02:34,912 --> 00:02:36,490 when they ate chocolate. 37 00:02:37,690 --> 00:02:40,440 So, it does seem to be the case that 38 00:02:40,440 --> 00:02:44,768 eating chocolate is probably sufficient to improve your mood. 39 00:02:46,210 --> 00:02:50,480 Obviously there are people who never eat chocolate and are very happy. 40 00:02:51,030 --> 00:02:54,399 For example a successful dieter or your dentist. 41 00:02:55,770 --> 00:03:00,850 You can find happiness by falling in love or getting promoted 42 00:03:00,850 --> 00:03:05,864 or finally reaching the top of Mt. Everest, whatever's your biggest dream. 43 00:03:06,340 --> 00:03:09,255 But for an instant helping of happiness, 44 00:03:10,369 --> 00:03:20,442 chocolate will cheer you up, mm. 45 00:03:23,409 --> 00:03:24,370 >> Wasn't that great? 46 00:03:25,450 --> 00:03:27,610 I already knew that I loved chocolate 47 00:03:27,610 --> 00:03:28,750 and that it improved my mood, 48 00:03:28,750 --> 00:03:31,360 so maybe I was convinced by this argument 49 00:03:31,360 --> 00:03:34,940 because, I already believed the conclusion. 50 00:03:34,940 --> 00:03:36,520 And that's when you ought to be careful. 51 00:03:37,360 --> 00:03:41,290 When you look at an argument, and it's for a conclusion you already believed, 52 00:03:41,303 --> 00:03:45,079 then there's going to be a tendency to think it's a great argument. 53 00:03:45,882 --> 00:03:47,478 so if you really want to know 54 00:03:47,478 --> 00:03:49,610 whether it is or is not a good argument. 55 00:03:49,610 --> 00:03:53,036 You gotta look carefully at the ones that are trying convince you 56 00:03:53,036 --> 00:03:56,238 of things that already had a tendency to believe in the first place. 57 00:03:56,680 --> 00:03:58,870 So let's look carefully at her conclusion. 58 00:03:59,220 --> 00:04:03,232 Catriona's conclusion was very carefully qualified. 59 00:04:03,470 --> 00:04:10,000 On the one hand, she said that chocolate is one of the things that makes you happy. 60 00:04:10,000 --> 00:04:11,680 She doesn't claim that it's the only thing 61 00:04:11,680 --> 00:04:13,510 that makes you happy: you know, 62 00:04:13,510 --> 00:04:16,750 Love might make you happy, climbing Mount Everest might make you happy, 63 00:04:16,750 --> 00:04:18,279 all kinds of things can make you happy. 64 00:04:18,279 --> 00:04:20,467 She's only claiming that chocolate's one of them. 65 00:04:21,419 --> 00:04:24,260 Another qualification, is that she says 66 00:04:24,260 --> 00:04:27,220 chocolate will probably improve your mood. 67 00:04:28,360 --> 00:04:29,541 She don't say it's definitely, 68 00:04:30,100 --> 00:04:32,485 don't say it works always, or for all people. 69 00:04:32,490 --> 00:04:36,568 But it'll probably improve your mood: so it's an inductive argument, 70 00:04:36,568 --> 00:04:39,241 and she doesn't have to prove it beyond a shadow of a doubt. 71 00:04:39,681 --> 00:04:43,000 That's a good move in an argument, because it's very hard to prove things 72 00:04:43,011 --> 00:04:44,494 beyond a shadow of a doubt. 73 00:04:45,680 --> 00:04:49,460 But there is one part of her conclusion that makes the argument difficult. 74 00:04:49,460 --> 00:04:53,529 And that's that she says chocolate improves your mood. 75 00:04:53,760 --> 00:04:55,050 Now that's a causal claim. 76 00:04:55,050 --> 00:04:58,375 That's not just that you eat chocolate and you also happen to be happy. 77 00:04:58,760 --> 00:05:01,743 That's that eating chocolate causes you 78 00:05:01,743 --> 00:05:03,930 to be happier than you were before, 79 00:05:03,930 --> 00:05:06,459 that is, to be in a better mood than you were before. 80 00:05:07,030 --> 00:05:10,770 So let's see if the different bits of evidence that she presents 81 00:05:10,770 --> 00:05:14,731 really do support that conclusion. 82 00:05:16,140 --> 00:05:19,184 So the first bit of evidence that Catriona provides is this. 83 00:05:19,920 --> 00:05:23,680 "Now I've met a lot of people, over the years, and whenever 84 00:05:23,680 --> 00:05:27,685 I give them some of my chocolate they're clearly happy about it." 85 00:05:28,720 --> 00:05:29,868 What kind of argument is that? 86 00:05:30,440 --> 00:05:33,628 That is a statistical generalization from a sample, 87 00:05:33,630 --> 00:05:35,590 because she hadn't met everybody in the world, 88 00:05:35,920 --> 00:05:37,278 she's only met some people. 89 00:05:37,590 --> 00:05:42,105 But the sample that she's been able to check, they've all liked chocolate. 90 00:05:43,590 --> 00:05:45,036 She adds one more claim: 91 00:05:45,584 --> 00:05:49,330 "I can't think of a single case of someone eating chocolate 92 00:05:49,330 --> 00:05:51,590 and not looking satisfied afterwards." 93 00:05:51,590 --> 00:05:53,292 You know, this is kind of repetitious, 94 00:05:53,292 --> 00:05:54,790 because she says she can't think of a case. 95 00:05:54,790 --> 00:05:58,280 She just told you that whenever she gives them chocolate, then they're happy 96 00:05:58,280 --> 00:06:03,031 and if they're happy they're satisfied, and so maybe that doesn't add too much. 97 00:06:03,031 --> 00:06:04,677 It's still a generalization. 98 00:06:04,677 --> 00:06:07,084 What are we going to think about this generalization? 99 00:06:07,910 --> 00:06:10,730 Well, let's assume that she's got a lot of friends. 100 00:06:10,730 --> 00:06:13,481 So, she's checked a lot of people, she's given a lot of people chocolate 101 00:06:13,481 --> 00:06:15,410 and -- and they're all happy. 102 00:06:15,410 --> 00:06:17,186 Well, is the premise true? 103 00:06:17,880 --> 00:06:21,990 Well, do we believe that every single person 104 00:06:22,350 --> 00:06:26,244 that she gave chocolate to was satisfied and happy? 105 00:06:26,560 --> 00:06:29,808 I kind of tend to doubt that, Catriona, sorry, but -- 106 00:06:30,118 --> 00:06:34,928 it's just, such uniformity is unusual among human beings. 107 00:06:35,610 --> 00:06:37,710 And so my bet is that a couple of them didn't. 108 00:06:37,710 --> 00:06:40,276 But notice that she didn't really need that, because 109 00:06:40,276 --> 00:06:44,400 she's only arguing that giving chocolate will probably improve your mood, 110 00:06:44,400 --> 00:06:46,449 not that it always will for everybody. 111 00:06:46,750 --> 00:06:50,140 So she doesn't need that strong claim about everybody. 112 00:06:50,140 --> 00:06:55,743 So she's still on pretty firm ground with regard to claiming that almost everybody, 113 00:06:55,743 --> 00:07:00,127 or most of the people, have improved their mood when she gave them chocolate. 114 00:07:01,040 --> 00:07:03,080 We still might worry about a bias sample. 115 00:07:03,080 --> 00:07:06,500 There might be some cultures out there, or some types of people out there, 116 00:07:06,500 --> 00:07:07,570 that don't like chocolate. 117 00:07:07,570 --> 00:07:09,100 Maybe they're allergic to chocolate, 118 00:07:09,100 --> 00:07:11,030 or something like that, that would be really sad, 119 00:07:11,030 --> 00:07:13,454 I'm sorry to even think about that, it makes me sad. 120 00:07:13,720 --> 00:07:17,237 But, there probably are, and they're people that don't like chocolate. 121 00:07:17,240 --> 00:07:19,376 And so, it's not going to work for them. 122 00:07:20,000 --> 00:07:23,430 So maybe she wants to qualify her conclusion a little bit, you know, 123 00:07:23,430 --> 00:07:24,530 "among the groups that I've met: 124 00:07:24,530 --> 00:07:27,030 different cultures might be different, 125 00:07:27,030 --> 00:07:31,044 different biological conditions might make people allergic to chocolate." 126 00:07:31,044 --> 00:07:33,974 But, with regard to most of the people she's met, 127 00:07:33,974 --> 00:07:36,520 chocolate seems to work pretty well. 128 00:07:36,520 --> 00:07:39,759 So we've got now a statistical generalization: 129 00:07:39,759 --> 00:07:43,832 "Most people, if you give them chocolate, it improves their mood." 130 00:07:44,510 --> 00:07:45,700 Great. 131 00:07:45,700 --> 00:07:49,100 What does that show you about you, because remember her conclusion is 132 00:07:49,100 --> 00:07:53,254 that if you have chocolate, then that chocolate will probably improve your mood. 133 00:07:53,600 --> 00:07:56,140 So now she needs to take that generalization 134 00:07:56,140 --> 00:07:59,228 and apply it back down to you as an individual, 135 00:07:59,228 --> 00:08:03,891 to make a prediction about what'll happen to you if you eat some chocolate. 136 00:08:04,450 --> 00:08:08,830 So in this particular bit of evidence, she needs to generalize up 137 00:08:08,830 --> 00:08:11,430 to "most people will have their mood improved 138 00:08:11,430 --> 00:08:13,700 if they eat chocolate," and then back down again. 139 00:08:13,700 --> 00:08:15,280 And since that's true with most people, 140 00:08:15,280 --> 00:08:17,840 and you're not special in any particular way 141 00:08:19,120 --> 00:08:21,902 -- or it would be a conflicting reference class fallacy -- 142 00:08:22,740 --> 00:08:24,800 since you're not special in any particular way, 143 00:08:24,807 --> 00:08:27,010 the chocolate will also improve your mood. 144 00:08:27,010 --> 00:08:29,899 That's the way this first bit of evidence seems to go. 145 00:08:30,980 --> 00:08:33,419 So now we're ready for her second bit of evidence. 146 00:08:33,419 --> 00:08:36,150 Let's get all adjusted here 147 00:08:36,150 --> 00:08:40,540 so that we can think about this new bit of evidence that Catriona provides. 148 00:08:40,970 --> 00:08:43,167 Okay, what she says is: 149 00:08:43,707 --> 00:08:48,920 it could be that chocolate isn't really causing the happiness. 150 00:08:49,240 --> 00:08:54,251 Maybe they were just happy before eating the chocolate. 151 00:08:54,580 --> 00:08:55,748 Now, that's a problem. 152 00:08:56,100 --> 00:08:58,760 If you're going to say that it improves people's moods 153 00:08:58,774 --> 00:08:59,878 when they eat chocolate, 154 00:08:59,878 --> 00:09:03,000 it's not good enough that people are already happy, 155 00:09:03,000 --> 00:09:05,000 and then that makes' em want to eat chocolate. 156 00:09:05,000 --> 00:09:07,508 And so they eat chocolate to celebrate how happy they are. 157 00:09:08,400 --> 00:09:13,455 Well you gotta prove that it actually does cause the improvement in the mood. 158 00:09:13,980 --> 00:09:16,253 Okay, how are you going to do that? 159 00:09:16,630 --> 00:09:20,566 Well, we looked, in the lectures on induction, at causal reasoning. 160 00:09:21,480 --> 00:09:23,674 What you need to do is manipulate. 161 00:09:24,850 --> 00:09:27,412 You want to look at people who are not happy 162 00:09:27,412 --> 00:09:30,570 and see if the chocolate makes them go up in mood 163 00:09:30,570 --> 00:09:34,140 and manipulate the amount of chocolate, manipulate how happy they are, 164 00:09:34,140 --> 00:09:36,180 and see how those have effects on each other. 165 00:09:36,180 --> 00:09:38,546 And that's how you decide among the hypotheses. 166 00:09:38,560 --> 00:09:40,480 And that's exactly what 167 00:09:41,235 --> 00:09:42,580 Catriona does. 168 00:09:42,890 --> 00:09:46,151 "So I asked some unhappy people whether they ever eat chocolate, 169 00:09:46,930 --> 00:09:51,417 and they confirmed that they do, precisely because it cheers them up." 170 00:09:52,000 --> 00:09:55,740 Ah, so now we have a sample of people, where we've manipulated their happiness. 171 00:09:55,740 --> 00:09:57,929 We've looked at happy people and unhappy people. 172 00:09:58,320 --> 00:10:00,140 We've looked at people at times when they're happy 173 00:10:00,140 --> 00:10:01,685 and times when they're unhappy. 174 00:10:01,690 --> 00:10:04,413 And then we can look at their chocolate consumption 175 00:10:04,690 --> 00:10:07,893 and we can check to make sure that they're happier afterwards. 176 00:10:08,170 --> 00:10:12,479 It's just like checking whether smoking causes cancer. 177 00:10:12,770 --> 00:10:14,950 We talked about that in the lectures on induction. 178 00:10:15,580 --> 00:10:17,845 If you want to know whether smoking causes cancer, 179 00:10:18,270 --> 00:10:22,872 what you do is you induce smoking in creatures 180 00:10:22,872 --> 00:10:26,920 -- in this case, lab monkeys -- that did not previously smoke 181 00:10:26,920 --> 00:10:29,097 and see whether that increases their cancer rate. 182 00:10:29,097 --> 00:10:30,680 And what she's doing is she's saying: 183 00:10:30,680 --> 00:10:33,174 "let's take people that don't have happiness, 184 00:10:33,660 --> 00:10:37,373 give them chocolate, and see if that increases their happiness." 185 00:10:37,373 --> 00:10:40,330 So she's using exactly the kind of manipulation test 186 00:10:40,330 --> 00:10:43,566 that we talked about in the lectures on induction. 187 00:10:44,240 --> 00:10:45,616 Good job, Catriona. 188 00:10:46,740 --> 00:10:48,920 Now let's switch to the fourth bit of evidence, 189 00:10:48,920 --> 00:10:50,578 and I want to get ready for that one too. 190 00:10:51,756 --> 00:10:56,650 Now, what Catriona says for her fourth bit of evidence is: 191 00:10:56,650 --> 00:10:59,660 "you may ask, what if all these people are also in love, 192 00:10:59,660 --> 00:11:02,648 and it's love that's making them happy, not really chocolate?" 193 00:11:02,910 --> 00:11:04,397 Because remember, she doesn't want to claim 194 00:11:04,397 --> 00:11:06,189 chocolate's the only thing that makes you happy. 195 00:11:06,690 --> 00:11:08,630 Love might be sufficient for happiness, 196 00:11:08,630 --> 00:11:11,596 just like chocolate also causes happiness. 197 00:11:13,370 --> 00:11:15,710 How are we going to tell which one it is? 198 00:11:16,820 --> 00:11:19,350 Well, in the lectures on causal reasoning, 199 00:11:19,350 --> 00:11:22,420 when we were looking at the tables, and the diners who died 200 00:11:22,420 --> 00:11:26,690 from the poisoned food, one of the points that we made 201 00:11:26,690 --> 00:11:30,600 was that if you have two candidates for a sufficient condition, 202 00:11:30,600 --> 00:11:33,460 you've gotta look at situations where one of them is present 203 00:11:33,460 --> 00:11:35,861 without the other and the other present without the first one. 204 00:11:36,120 --> 00:11:39,092 And that's exactly what Catriona does. 205 00:11:39,980 --> 00:11:44,288 She says, I had to find people who eat chocolate, but are not in love. 206 00:11:45,150 --> 00:11:47,770 Whoa, well that's what you're looking for, 207 00:11:47,770 --> 00:11:50,060 because if you have some people who eat chocolate, 208 00:11:50,060 --> 00:11:50,980 but are not in love, 209 00:11:50,980 --> 00:11:54,840 and some people who are not in love but eat chocolate, you can test it. 210 00:11:54,840 --> 00:11:55,960 And what did she find? 211 00:11:56,990 --> 00:12:01,560 Well: "I did a mini-survey outside my nearest corner shop, 212 00:12:01,560 --> 00:12:04,249 and 80% if the people who confessed 213 00:12:04,249 --> 00:12:05,850 that they were not in love 214 00:12:05,850 --> 00:12:09,852 said they definitely felt their mood improve when they ate chocolate. 215 00:12:10,200 --> 00:12:13,265 Notice she's not claiming it's so universal, 100% anymore, 216 00:12:13,265 --> 00:12:15,448 she's down to 80%: good move. 217 00:12:16,030 --> 00:12:20,441 But in addition, she's now ruled out that it's really the love 218 00:12:20,441 --> 00:12:23,440 that's the only sufficient condition: even when the love's not present, 219 00:12:23,440 --> 00:12:27,182 you still get happiness with eating chocolate. 220 00:12:28,060 --> 00:12:32,590 So that's applying one of the tests that we talked about 221 00:12:32,590 --> 00:12:36,295 in the section on causal reasoning to test for sufficient conditions. 222 00:12:37,690 --> 00:12:42,493 Okay, we've done our bits of evidence one and two and four. 223 00:12:42,940 --> 00:12:44,490 We skipped over number three. 224 00:12:44,490 --> 00:12:48,698 So what's your third bit of evidence? Now, we've gotta look at that one. 225 00:12:50,903 --> 00:12:55,473 Okay, what Catriona says is: "I went to a chocolate factory 226 00:12:55,473 --> 00:12:59,992 where all the workers eat chocolate every day." 227 00:13:00,480 --> 00:13:02,177 Not only that, it's free. 228 00:13:02,177 --> 00:13:06,930 Free chocolate! Yeah, mm! 229 00:13:07,490 --> 00:13:08,621 I love it. 230 00:13:09,520 --> 00:13:13,140 "Like everyone else, these people could theoretically be unhappy, 231 00:13:13,140 --> 00:13:16,460 but they have smiles on their faces." 232 00:13:16,460 --> 00:13:17,220 Wouldn't you? 233 00:13:17,220 --> 00:13:18,802 Free chocolate all day long. 234 00:13:19,160 --> 00:13:22,806 But wait a minute, wait a minute: is this a good argument? 235 00:13:23,170 --> 00:13:25,290 Like I said, it's a conclusion I like. 236 00:13:25,943 --> 00:13:27,762 But we still gotta look at it critically. 237 00:13:27,762 --> 00:13:32,260 Sorry, Catriona, these people are happy, 238 00:13:32,830 --> 00:13:37,020 but how do you know that they're happy because of the chocolate, right? 239 00:13:37,540 --> 00:13:40,850 They've got a job in the factory, It's good having a job. 240 00:13:42,070 --> 00:13:45,067 Chocolate's very popular, so maybe the factory's doing really well, 241 00:13:45,067 --> 00:13:48,770 which means they can pay them more money, better benefits, good job: 242 00:13:48,770 --> 00:13:50,320 maybe that's what's making them happy? 243 00:13:50,320 --> 00:13:52,520 Sure, all these people in the factory are happy. 244 00:13:53,440 --> 00:13:55,399 But it might not be the chocolate. 245 00:13:55,750 --> 00:13:58,034 It might be the fact that they got a good job. 246 00:13:58,650 --> 00:14:03,782 So I think this fourth bit of evidence is not really all that strong. 247 00:14:04,130 --> 00:14:07,066 Her number three, by the way: the fourth one we considered. 248 00:14:08,210 --> 00:14:10,153 It's not all that strong: now, what does that show you? 249 00:14:10,260 --> 00:14:13,050 You could say: "Wait a minute, she's got four arguments, 250 00:14:13,050 --> 00:14:16,244 one of them's no good, so it all is back to nothing. 251 00:14:17,330 --> 00:14:19,760 But of course, that's not the right way to think about it. 252 00:14:19,780 --> 00:14:21,634 She gave us four bits of evidence. 253 00:14:22,140 --> 00:14:24,800 If one of them doesn't work, and we've only got three left, 254 00:14:24,817 --> 00:14:26,420 we've still got three left. 255 00:14:26,420 --> 00:14:32,090 So if those first three bits of evidence are good, and if they show at least 256 00:14:32,090 --> 00:14:35,260 that it'll probably improve your mood, and they establish 257 00:14:35,260 --> 00:14:38,590 the cause of conclusion that she claimed, then it seems to me 258 00:14:38,590 --> 00:14:43,055 she's given us pretty good evidence for the conclusion she was claiming. 259 00:14:43,350 --> 00:14:48,570 And in doing so, she's exemplified a lot of the different forms of reasoning 260 00:14:48,570 --> 00:14:51,530 that we studied in the weeks on inductive reasoning. 261 00:14:51,530 --> 00:14:53,531 So, thank you very much, Catriona, 262 00:14:53,531 --> 00:14:57,684 for submitting this wonderful video, this wonderful argument. 263 00:14:57,684 --> 00:15:00,630 We all learned from it and we appreciate it.