WEBVTT 00:00:00.000 --> 00:00:05.855 (intro music) 00:00:05.855 --> 00:00:07.370 My name is Laurie Santos. 00:00:07.370 --> 00:00:10.370 I teach psychology at Yale University, and today 00:00:10.370 --> 00:00:12.549 I want to talk to you about anchoring. 00:00:12.549 --> 00:00:16.119 This lecture is part of a series on cognitive biases. 00:00:16.119 --> 00:00:19.429 Let's do a math problem. really quickly, and you've 00:00:19.429 --> 00:00:20.760 gotta do it in your head 00:00:20.760 --> 00:00:21.649 Ready? 00:00:21.649 --> 00:00:27.529 First, multiply the following numbers: eight times seven times six 00:00:27.529 --> 00:00:32.460 times five times four times three times two times one. 00:00:32.460 --> 00:00:35.250 OK, that's it. 00:00:35.250 --> 00:00:36.840 What's your guess? 00:00:36.840 --> 00:00:37.840 A thousand? 00:00:37.840 --> 00:00:39.820 Two thousand? 00:00:39.820 --> 00:00:43.030 When the psychologists Danny Kahneman and Amos Tversky tried this with 00:00:43.030 --> 00:00:45.390 human subjects, subjects on average 00:00:45.390 --> 00:00:47.990 guessed about two thousand two hundred and fifty. 00:00:47.990 --> 00:00:49.379 Seems like an OK guess. 00:00:49.379 --> 00:00:53.109 But now, let's suppose I gave you a different math problem. 00:00:53.109 --> 00:00:54.650 What if I gave you this one? 00:00:54.650 --> 00:00:56.050 Ready? 00:00:56.050 --> 00:01:00.030 One times two times three times four 00:01:00.030 --> 00:01:04.770 times five times six times seven times eight. 00:01:04.770 --> 00:01:06.310 What's your answer? 00:01:06.310 --> 00:01:08.150 If you're like Kahneman and Tversky's 00:01:08.150 --> 00:01:11.040 subjects, your answer might be a bit different here. 00:01:11.040 --> 00:01:13.880 For this question, their subjects guessed a lot lower. 00:01:13.880 --> 00:01:17.450 On average they said the answer was about five hundred and twelve. 00:01:17.450 --> 00:01:19.509 The first amazing thing about these similar 00:01:19.509 --> 00:01:23.620 mathematical estimates is that people get the answers really, really wrong. 00:01:23.620 --> 00:01:25.219 In fact, the real answer? 00:01:25.219 --> 00:01:29.339 Well, for both, its forty thousand three hundred and twenty. 00:01:29.339 --> 00:01:31.939 People are off by an order of magnitude. 00:01:31.939 --> 00:01:35.259 But the second, even more amazing thing is that people give 00:01:35.259 --> 00:01:39.600 different answers to the two problems, even though they're just different ways 00:01:39.600 --> 00:01:42.020 of asking exactly the same question. 00:01:42.020 --> 00:01:44.060 Why do we give completely different answers, 00:01:44.060 --> 00:01:47.079 when the same math problem is presented differently? 00:01:47.079 --> 00:01:49.500 The answer lies in how we make estimates. 00:01:49.500 --> 00:01:51.590 When you have lots of time to do a math 00:01:51.590 --> 00:01:55.810 problem, like eight times seven times six times five times four times three times 00:01:55.810 --> 00:01:58.559 two times one, you can multiply all of 00:01:58.559 --> 00:02:01.139 the numbers together and get an exact product. 00:02:01.139 --> 00:02:02.719 But when you have to do the problem 00:02:02.719 --> 00:02:05.279 quickly, you don't really have time to finish. 00:02:05.279 --> 00:02:07.309 So you start with the first numbers. 00:02:07.309 --> 00:02:10.188 You multiply eight times seven, and get fifty-six. 00:02:10.188 --> 00:02:12.700 And then you've gotta multiply that by six, 00:02:12.700 --> 00:02:16.670 and, well, you're guessing the final number's gotta be pretty big, bigger than 00:02:16.670 --> 00:02:19.660 fifty-six, like maybe two thousand or so. 00:02:19.660 --> 00:02:22.450 But when you do the second problem, you start 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. 00:02:26.880 --> 00:02:28.530 Your answer's gonna be pretty small, 00:02:28.530 --> 00:02:31.310 maybe only like five hundred or so. 00:02:31.310 --> 00:02:33.780 This process of guessing based on the first 00:02:33.780 --> 00:02:36.110 number you see is what's known as "anchoring." 00:02:36.110 --> 00:02:37.680 The first number we think of 00:02:37.680 --> 00:02:39.730 when we do our estimate is the anchor. 00:02:39.730 --> 00:02:41.830 And once we have an anchor in our head, 00:02:41.830 --> 00:02:44.730 well, we sort of adjust as needed from there. 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. 00:02:48.750 --> 00:02:51.580 The anchors are cognitively really strong. 00:02:51.580 --> 00:02:54.530 In the first, problem you probably started with fifty-six, and 00:02:54.530 --> 00:02:57.720 then adjusted to an even bigger number from there. 00:02:57.720 --> 00:03:00.999 And in the second problem, you started with six, and then adjusted from there. 00:03:00.999 --> 00:03:05.849 The problem is that starting at different points leads to different final guesses. 00:03:05.849 --> 00:03:10.970 Like real anchors, our estimated anchors kinda get us stuck in one spot. 00:03:10.970 --> 00:03:14.709 We often fail to drag the anchor far enough to get to a correct answer. 00:03:14.709 --> 00:03:17.709 Kahneman and Tversky discovered that this 00:03:17.709 --> 00:03:19.889 sort of anchoring bias happens all the time, 00:03:19.889 --> 00:03:22.480 even for anchors that are totally arbitrary. 00:03:22.480 --> 00:03:25.480 For example, they asked people to spin a wheel with 00:03:25.480 --> 00:03:28.320 numbers from one to a hundred, and then asked them to estimate 00:03:28.320 --> 00:03:31.739 what percentage of countries in the United Nations are African. 00:03:31.739 --> 00:03:34.739 People who spun a ten on the wheel estimated that 00:03:34.739 --> 00:03:36.769 the number was about twenty-five percent. 00:03:36.769 --> 00:03:39.769 But people who spun a sixty-five estimated that 00:03:39.769 --> 00:03:41.650 the number was forty-five percent. 00:03:41.650 --> 00:03:46.340 In another experiment, Dan Ariely and his colleagues had people 00:03:46.340 --> 00:03:49.300 write down the last two digits of their social security number. 00:03:49.300 --> 00:03:50.770 They were then asked whether they would 00:03:50.770 --> 00:03:54.119 pay that amount in dollars for a nice bottle of wine. 00:03:54.119 --> 00:03:58.250 Ariely and colleagues found that people in the highest quintile of social security 00:03:58.250 --> 00:04:02.799 numbers would pay three to four times as much for the exact same good. 00:04:02.799 --> 00:04:04.939 Just setting up a larger anchor can make a 00:04:04.939 --> 00:04:07.099 person who would pay eight dollars for the bottle 00:04:07.099 --> 00:04:10.649 of wine be willing to spend twenty-seven dollars instead. 00:04:10.649 --> 00:04:14.619 Sadly for us, sales people use anchors against us all the time. 00:04:14.619 --> 00:04:18.399 How many times have you noticed a salesperson or an advertisement 00:04:18.399 --> 00:04:21.100 anchoring you to a particular price, or 00:04:21.100 --> 00:04:23.890 even to how much of a particular product you should buy? 00:04:23.890 --> 00:04:26.430 Whether it's buying a car, or a sweater, 00:04:26.430 --> 00:04:30.270 or even renting a hotel room, our intuitions about what prices 00:04:30.270 --> 00:04:34.510 are reasonable to pay often come from some arbitrary anchor. 00:04:34.510 --> 00:04:38.490 So, the next time you're given an anchor, take a minute to think. 00:04:38.490 --> 00:04:40.139 Remember what happens when you 00:04:40.139 --> 00:04:42.300 drop your anger too high, and then 00:04:42.300 --> 00:04:45.330 consider thinking of a very different number. 00:04:45.330 --> 00:04:49.129 It might affect your final estimate more than you expect.