1 00:00:01,800 --> 00:00:04,320 Speaker 1: Welcome to brain Stuff, a production of I Heart Radio, 2 00:00:07,880 --> 00:00:12,080 Speaker 1: Hey brain Stuff Lauren vog obamb here. We humans all 3 00:00:12,200 --> 00:00:16,200 Speaker 1: have a favorite color or colors, but historically it's been 4 00:00:16,239 --> 00:00:20,560 Speaker 1: difficult to empirically explain why. It was easy to prove 5 00:00:20,600 --> 00:00:23,640 Speaker 1: that people do like certain colors more than others, and 6 00:00:23,880 --> 00:00:28,400 Speaker 1: research has shown that people often associate colors with feelings. However, 7 00:00:28,720 --> 00:00:32,240 Speaker 1: because there was no standardization of colors or some smaller 8 00:00:32,320 --> 00:00:35,159 Speaker 1: subset of colors for scientists to work with, no one 9 00:00:35,159 --> 00:00:40,720 Speaker 1: could explain why we like certain colors. Enter Karen Schloss. 10 00:00:41,360 --> 00:00:45,280 Speaker 1: As a child, her favorite activity was organizing her crayons. Today, 11 00:00:45,400 --> 00:00:48,000 Speaker 1: Schloss is an assistant professor in the Department of Psychology 12 00:00:48,040 --> 00:00:50,640 Speaker 1: at the Wisconsin Institute for Discovery at the University of 13 00:00:50,640 --> 00:00:54,560 Speaker 1: Wisconsin Madison, and has conducted critical studies on color preference. 14 00:00:55,840 --> 00:00:59,600 Speaker 1: She said, I certainly have very strong color preferences that 15 00:00:59,720 --> 00:01:02,959 Speaker 1: change aged over time, and these preferences influence a ton 16 00:01:03,000 --> 00:01:05,600 Speaker 1: of decisions that we make, from the clothes that we wear, 17 00:01:05,640 --> 00:01:07,880 Speaker 1: to the way we color our environments, and to the 18 00:01:07,880 --> 00:01:12,640 Speaker 1: products we buy. With these influences in mind, she and 19 00:01:12,640 --> 00:01:16,480 Speaker 1: her collaborator Stephen Palmer, PhD, a researcher at EC Berkeley 20 00:01:16,800 --> 00:01:19,240 Speaker 1: set out to find why we like certain colors more 21 00:01:19,240 --> 00:01:23,320 Speaker 1: than others. Through a series of lab studies between and seventeen, 22 00:01:24,880 --> 00:01:29,080 Speaker 1: Schloss and Palmer hypothesized the ecological valence theory or e 23 00:01:29,200 --> 00:01:32,520 Speaker 1: v T, which they describe in their paper as the 24 00:01:32,520 --> 00:01:36,360 Speaker 1: theory that quote, people like slash dislike a given color 25 00:01:36,400 --> 00:01:38,920 Speaker 1: to the degree that they like slash dislike all of 26 00:01:38,959 --> 00:01:42,080 Speaker 1: the objects and entities that they associate with that color. 27 00:01:43,920 --> 00:01:47,560 Speaker 1: For example, people often like blue hues because it reminds 28 00:01:47,600 --> 00:01:50,880 Speaker 1: them of clear skies and clean water. On the other hand, 29 00:01:50,960 --> 00:01:53,520 Speaker 1: people tend to shy away from brown hues because they 30 00:01:53,520 --> 00:01:57,920 Speaker 1: remind us of feces or rotting food. That was their hypothesis, 31 00:01:58,000 --> 00:02:03,320 Speaker 1: So where they right To explore this theory? Schloss and 32 00:02:03,360 --> 00:02:06,320 Speaker 1: Palmer conducted a series of lab studies with several separate 33 00:02:06,320 --> 00:02:09,960 Speaker 1: groups of participants who ranked color preferences, what colors made 34 00:02:10,000 --> 00:02:13,320 Speaker 1: them think of certain objects, and if those objects represented 35 00:02:13,360 --> 00:02:18,239 Speaker 1: positive or negative things. The result, they found that eight 36 00:02:18,400 --> 00:02:21,560 Speaker 1: percent of the change in average color preferences from one 37 00:02:21,600 --> 00:02:24,320 Speaker 1: group of people to another was based on how much 38 00:02:24,360 --> 00:02:29,400 Speaker 1: other people like objects related to those colors. Shlas said, 39 00:02:29,760 --> 00:02:33,000 Speaker 1: that's really cool. That's our first evidence that these patterns 40 00:02:33,040 --> 00:02:36,600 Speaker 1: of color preferences can be explained by those objects associated 41 00:02:36,639 --> 00:02:40,600 Speaker 1: with those colors. With this data, the pair could explore 42 00:02:40,639 --> 00:02:45,320 Speaker 1: different topics of color preferences, like individual preferences, changes over time, 43 00:02:45,639 --> 00:02:49,840 Speaker 1: or even cultural preferences. However, the results from the original 44 00:02:49,880 --> 00:02:55,240 Speaker 1: study were only correlational. They didn't explicitly explain what causes 45 00:02:55,320 --> 00:02:58,520 Speaker 1: someone to like a certain color or why that would 46 00:02:58,560 --> 00:03:03,400 Speaker 1: change over time. Time for a different test, a, Schlas said, 47 00:03:03,840 --> 00:03:05,880 Speaker 1: the idea is that if we bring to mind for 48 00:03:05,960 --> 00:03:09,840 Speaker 1: you particular objects that are say positive and associated a 49 00:03:09,840 --> 00:03:13,799 Speaker 1: particular color or negative, we should be able to change 50 00:03:13,800 --> 00:03:17,480 Speaker 1: your color preferences over the course of even a laboratory experiment. 51 00:03:18,800 --> 00:03:22,120 Speaker 1: And to test this, they presented participants with objects associated 52 00:03:22,160 --> 00:03:25,919 Speaker 1: with the colors red and green. One group saw positive 53 00:03:25,919 --> 00:03:30,120 Speaker 1: red images like strawberries and roses, but also negative green 54 00:03:30,200 --> 00:03:34,280 Speaker 1: images like vomit and mucus. The second group saw the 55 00:03:34,320 --> 00:03:38,080 Speaker 1: opposite and negative red images such as lesions and positive 56 00:03:38,080 --> 00:03:43,400 Speaker 1: green images like forests and Kiwi's Shlas explained, what we 57 00:03:43,520 --> 00:03:46,600 Speaker 1: found is that we were able to significantly increase people's 58 00:03:46,600 --> 00:03:49,440 Speaker 1: preferences for the colors that were associated with the positive 59 00:03:49,480 --> 00:03:52,480 Speaker 1: things they saw. If you saw positive red things, you 60 00:03:52,520 --> 00:03:55,960 Speaker 1: could significantly increase your preference for the red colors. Then 61 00:03:55,960 --> 00:04:00,520 Speaker 1: if you saw positive green things. Of course, positive and 62 00:04:00,560 --> 00:04:04,920 Speaker 1: negative reactions aren't universal. Even though many people probably find 63 00:04:05,000 --> 00:04:08,480 Speaker 1: red lesions to be gross, if a participant was pre med, 64 00:04:08,520 --> 00:04:12,080 Speaker 1: for example, they might find red legions fascinating. And so 65 00:04:12,280 --> 00:04:14,520 Speaker 1: the researchers next step was to see if they could 66 00:04:14,600 --> 00:04:17,839 Speaker 1: predict how much a person's preference would change based on 67 00:04:17,880 --> 00:04:21,000 Speaker 1: how much the person liked the images they saw. It 68 00:04:21,000 --> 00:04:25,039 Speaker 1: turns out they could. Slaw said, if you activate the 69 00:04:25,080 --> 00:04:28,599 Speaker 1: associations of particular objects, that can have a larger influence 70 00:04:28,640 --> 00:04:32,559 Speaker 1: on your preference for the color. By activating, she means 71 00:04:32,600 --> 00:04:35,960 Speaker 1: reminding you that an object exists, basically bringing it to 72 00:04:35,960 --> 00:04:39,520 Speaker 1: the top of your mind. She continued, those objects are 73 00:04:39,520 --> 00:04:41,560 Speaker 1: going to have more weight than the ones that I 74 00:04:41,600 --> 00:04:46,560 Speaker 1: didn't activate. So if participants saw more positive images of 75 00:04:46,600 --> 00:04:50,000 Speaker 1: red things, whatever those things were, they were more likely 76 00:04:50,040 --> 00:04:54,320 Speaker 1: to have a positive association with the color red. This 77 00:04:54,480 --> 00:04:58,680 Speaker 1: explains why a person may have This explains why a 78 00:04:58,760 --> 00:05:02,120 Speaker 1: person may have paus of or negative feelings about certain colors. 79 00:05:02,440 --> 00:05:05,240 Speaker 1: It comes down to your experience with objects of those 80 00:05:05,240 --> 00:05:10,680 Speaker 1: colors over time and This may explain why yellowish, greenish colors, 81 00:05:10,960 --> 00:05:13,800 Speaker 1: the colors of things like puss and vomit, are the 82 00:05:13,920 --> 00:05:17,240 Speaker 1: least like across the world. According to Schlass, while blue 83 00:05:17,320 --> 00:05:21,120 Speaker 1: hues are the most popular, blue is nearly always associated 84 00:05:21,160 --> 00:05:25,280 Speaker 1: with universally positive things. In fact, in Schloss's studies, blue 85 00:05:25,320 --> 00:05:28,039 Speaker 1: was the only color for which participants never listed a 86 00:05:28,080 --> 00:05:32,960 Speaker 1: negative object. Scientists like Schlass have explored the idea that 87 00:05:33,040 --> 00:05:36,960 Speaker 1: color preference may be part of our evolutionary design. She said. 88 00:05:37,400 --> 00:05:40,120 Speaker 1: The idea is the color preferences act as a steering 89 00:05:40,160 --> 00:05:43,159 Speaker 1: function that guides us towards things that are positive for 90 00:05:43,200 --> 00:05:45,880 Speaker 1: our general health and well being and away from things 91 00:05:45,880 --> 00:05:48,920 Speaker 1: that are negative. We have this learning mechanism to learn 92 00:05:48,920 --> 00:05:53,040 Speaker 1: associations between colors and objects or concepts, and then use 93 00:05:53,120 --> 00:05:56,440 Speaker 1: those to inform our judgments about colors. This could have 94 00:05:56,480 --> 00:06:01,000 Speaker 1: been something that may have been adaptive for us to have. However, 95 00:06:01,200 --> 00:06:04,200 Speaker 1: she points out that objects don't always have a rhyme 96 00:06:04,279 --> 00:06:07,799 Speaker 1: or reason for their color, and in our relatively safe 97 00:06:07,839 --> 00:06:11,160 Speaker 1: and curated world, it's often not a life or death 98 00:06:11,240 --> 00:06:15,400 Speaker 1: preference for humans today, our choosing a color we like, 99 00:06:15,680 --> 00:06:19,120 Speaker 1: for say, our love seat or cell phone case, may 100 00:06:19,320 --> 00:06:23,120 Speaker 1: help us thrive, that is, be happy, and avoiding colors 101 00:06:23,120 --> 00:06:26,840 Speaker 1: we dislike may help us avoid failure that is being unhappy, 102 00:06:27,880 --> 00:06:31,000 Speaker 1: And even in that small way, the simple question what's 103 00:06:31,040 --> 00:06:34,440 Speaker 1: your favorite color? May have more depth than we previously thought. 104 00:06:39,800 --> 00:06:42,760 Speaker 1: Today's episode is based on the article science Explains Why 105 00:06:42,800 --> 00:06:44,960 Speaker 1: we have favorite colors on how stuff works dot com, 106 00:06:45,000 --> 00:06:47,840 Speaker 1: written by Alison Troutner. Brain Stuff is production by Heart 107 00:06:47,880 --> 00:06:49,960 Speaker 1: Radio in partnership with how stuff works dot Com and 108 00:06:50,040 --> 00:06:53,359 Speaker 1: is produced by Tyler Clang. For more podcasts by heart Radio, 109 00:06:53,520 --> 00:06:56,080 Speaker 1: visit the i heart Radio app, Apple Podcasts, or wherever 110 00:06:56,120 --> 00:06:57,520 Speaker 1: you listen to your favorite shows,