1 00:00:00,000 --> 00:00:05,855 (intro music) 2 00:00:05,855 --> 00:00:07,370 My name is Laurie Santos. 3 00:00:07,370 --> 00:00:10,370 I teach psychology at Yale University, and today 4 00:00:10,370 --> 00:00:12,549 I want to talk to you about anchoring. 5 00:00:12,549 --> 00:00:16,119 This lecture is part of a series on cognitive biases. 6 00:00:16,119 --> 00:00:19,429 Let's do a math problem. really quickly, and you've 7 00:00:19,429 --> 00:00:20,760 gotta do it in your head 8 00:00:20,760 --> 00:00:21,649 Ready? 9 00:00:21,649 --> 00:00:27,529 First, multiply the following numbers: eight times seven times six 10 00:00:27,529 --> 00:00:32,460 times five times four times three times two times one. 11 00:00:32,460 --> 00:00:35,250 OK, that's it. 12 00:00:35,250 --> 00:00:36,840 What's your guess? 13 00:00:36,840 --> 00:00:37,840 A thousand? 14 00:00:37,840 --> 00:00:39,820 Two thousand? 15 00:00:39,820 --> 00:00:43,030 When the psychologists Danny Kahneman and Amos Tversky tried this with 16 00:00:43,030 --> 00:00:45,390 human subjects, subjects on average 17 00:00:45,390 --> 00:00:47,990 guessed about two thousand two hundred and fifty. 18 00:00:47,990 --> 00:00:49,379 Seems like an OK guess. 19 00:00:49,379 --> 00:00:53,109 But now, let's suppose I gave you a different math problem. 20 00:00:53,109 --> 00:00:54,650 What if I gave you this one? 21 00:00:54,650 --> 00:00:56,050 Ready? 22 00:00:56,050 --> 00:01:00,030 One times two times three times four 23 00:01:00,030 --> 00:01:04,770 times five times six times seven times eight. 24 00:01:04,770 --> 00:01:06,310 What's your answer? 25 00:01:06,310 --> 00:01:08,150 If you're like Kahneman and Tversky's 26 00:01:08,150 --> 00:01:11,040 subjects, your answer might be a bit different here. 27 00:01:11,040 --> 00:01:13,880 For this question, their subjects guessed a lot lower. 28 00:01:13,880 --> 00:01:17,450 On average they said the answer was about five hundred and twelve. 29 00:01:17,450 --> 00:01:19,509 The first amazing thing about these similar 30 00:01:19,509 --> 00:01:23,620 mathematical estimates is that people get the answers really, really wrong. 31 00:01:23,620 --> 00:01:25,219 In fact, the real answer? 32 00:01:25,219 --> 00:01:29,339 Well, for both, its forty thousand three hundred and twenty. 33 00:01:29,339 --> 00:01:31,939 People are off by an order of magnitude. 34 00:01:31,939 --> 00:01:35,259 But the second, even more amazing thing is that people give 35 00:01:35,259 --> 00:01:39,600 different answers to the two problems, even though they're just different ways 36 00:01:39,600 --> 00:01:42,020 of asking exactly the same question. 37 00:01:42,020 --> 00:01:44,060 Why do we give completely different answers, 38 00:01:44,060 --> 00:01:47,079 when the same math problem is presented differently? 39 00:01:47,079 --> 00:01:49,500 The answer lies in how we make estimates. 40 00:01:49,500 --> 00:01:51,590 When you have lots of time to do a math 41 00:01:51,590 --> 00:01:55,810 problem, like eight times seven times six times five times four times three times 42 00:01:55,810 --> 00:01:58,559 two times one, you can multiply all of 43 00:01:58,559 --> 00:02:01,139 the numbers together and get an exact product. 44 00:02:01,139 --> 00:02:02,719 But when you have to do the problem 45 00:02:02,719 --> 00:02:05,279 quickly, you don't really have time to finish. 46 00:02:05,279 --> 00:02:07,309 So you start with the first numbers. 47 00:02:07,309 --> 00:02:10,188 You multiply eight times seven, and get fifty-six. 48 00:02:10,188 --> 00:02:12,700 And then you've gotta multiply that by six, 49 00:02:12,700 --> 00:02:16,670 and, well, you're guessing the final number's gotta be pretty big, bigger than 50 00:02:16,670 --> 00:02:19,660 fifty-six, like maybe two thousand or so. 51 00:02:19,660 --> 00:02:22,450 But when you do the second problem, you start 52 00:02:22,450 --> 00:02:26,880 with one times two, and, well, that's only two, and two times three's only six. 53 00:02:26,880 --> 00:02:28,530 Your answer's gonna be pretty small, 54 00:02:28,530 --> 00:02:31,310 maybe only like five hundred or so. 55 00:02:31,310 --> 00:02:33,780 This process of guessing based on the first 56 00:02:33,780 --> 00:02:36,110 number you see is what's known as "anchoring." 57 00:02:36,110 --> 00:02:37,680 The first number we think of 58 00:02:37,680 --> 00:02:39,730 when we do our estimate is the anchor. 59 00:02:39,730 --> 00:02:41,830 And once we have an anchor in our head, 60 00:02:41,830 --> 00:02:44,730 well, we sort of adjust as needed from there. 61 00:02:44,730 --> 00:02:48,750 The problem is that our minds are biased not to adjust as much as we need to. 62 00:02:48,750 --> 00:02:51,580 The anchors are cognitively really strong. 63 00:02:51,580 --> 00:02:54,530 In the first, problem you probably started with fifty-six, and 64 00:02:54,530 --> 00:02:57,720 then adjusted to an even bigger number from there. 65 00:02:57,720 --> 00:03:00,999 And in the second problem, you started with six, and then adjusted from there. 66 00:03:00,999 --> 00:03:05,849 The problem is that starting at different points leads to different final guesses. 67 00:03:05,849 --> 00:03:10,970 Like real anchors, our estimated anchors kinda get us stuck in one spot. 68 00:03:10,970 --> 00:03:14,709 We often fail to drag the anchor far enough to get to a correct answer. 69 00:03:14,709 --> 00:03:17,709 Kahneman and Tversky discovered that this 70 00:03:17,709 --> 00:03:19,889 sort of anchoring bias happens all the time, 71 00:03:19,889 --> 00:03:22,480 even for anchors that are totally arbitrary. 72 00:03:22,480 --> 00:03:25,480 For example, they asked people to spin a wheel with 73 00:03:25,480 --> 00:03:28,320 numbers from one to a hundred, and then asked them to estimate 74 00:03:28,320 --> 00:03:31,739 what percentage of countries in the United Nations are African. 75 00:03:31,739 --> 00:03:34,739 People who spun a ten on the wheel estimated that 76 00:03:34,739 --> 00:03:36,769 the number was about twenty-five percent. 77 00:03:36,769 --> 00:03:39,769 But people who spun a sixty-five estimated that 78 00:03:39,769 --> 00:03:41,650 the number was forty-five percent. 79 00:03:41,650 --> 00:03:46,340 In another experiment, Dan Ariely and his colleagues had people 80 00:03:46,340 --> 00:03:49,300 write down the last two digits of their social security number. 81 00:03:49,300 --> 00:03:50,770 They were then asked whether they would 82 00:03:50,770 --> 00:03:54,119 pay that amount in dollars for a nice bottle of wine. 83 00:03:54,119 --> 00:03:58,250 Ariely and colleagues found that people in the highest quintile of social security 84 00:03:58,250 --> 00:04:02,799 numbers would pay three to four times as much for the exact same good. 85 00:04:02,799 --> 00:04:04,939 Just setting up a larger anchor can make a 86 00:04:04,939 --> 00:04:07,099 person who would pay eight dollars for the bottle 87 00:04:07,099 --> 00:04:10,649 of wine be willing to spend twenty-seven dollars instead. 88 00:04:10,649 --> 00:04:14,619 Sadly for us, sales people use anchors against us all the time. 89 00:04:14,619 --> 00:04:18,399 How many times have you noticed a salesperson or an advertisement 90 00:04:18,399 --> 00:04:21,100 anchoring you to a particular price, or 91 00:04:21,100 --> 00:04:23,890 even to how much of a particular product you should buy? 92 00:04:23,890 --> 00:04:26,430 Whether it's buying a car, or a sweater, 93 00:04:26,430 --> 00:04:30,270 or even renting a hotel room, our intuitions about what prices 94 00:04:30,270 --> 00:04:34,510 are reasonable to pay often come from some arbitrary anchor. 95 00:04:34,510 --> 00:04:38,490 So, the next time you're given an anchor, take a minute to think. 96 00:04:38,490 --> 00:04:40,139 Remember what happens when you 97 00:04:40,139 --> 00:04:42,300 drop your anger too high, and then 98 00:04:42,300 --> 00:04:45,330 consider thinking of a very different number. 99 00:04:45,330 --> 00:04:49,129 It might affect your final estimate more than you expect.