WEBVTT - Why Do We See Faces in Inanimate Objects?

0:00:01.920 --> 0:00:06.400
<v Speaker 1>Welcome to brain Stuff production of I Heart Radio, Hey

0:00:06.440 --> 0:00:10.039
<v Speaker 1>brain Stuff, Lauren bob o blam here. The world is

0:00:10.080 --> 0:00:14.880
<v Speaker 1>full of faces. Faces in wall outlets, faces in lamp switches,

0:00:15.200 --> 0:00:19.720
<v Speaker 1>faces in cheese graters. Sometimes these faces have religious significance,

0:00:19.920 --> 0:00:21.599
<v Speaker 1>or like the woman who found an image of the

0:00:21.640 --> 0:00:24.439
<v Speaker 1>Virgin Mary and her grilled cheese, or the cheeto that

0:00:24.480 --> 0:00:29.479
<v Speaker 1>looks convincingly like Jesus. The phenomenon of seeing faces where

0:00:29.480 --> 0:00:32.680
<v Speaker 1>they're not supposed to be, in clouds, on buildings in

0:00:32.840 --> 0:00:36.159
<v Speaker 1>tacos is so common and widespread that it has a

0:00:36.280 --> 0:00:42.440
<v Speaker 1>name paraidolia. In Greek, paraidolia translates as beyond form or image,

0:00:42.760 --> 0:00:46.239
<v Speaker 1>and it means finding meanings or patterns where there aren't any,

0:00:46.479 --> 0:00:49.519
<v Speaker 1>like hearing a heartbeat in white noise, or believing that

0:00:49.560 --> 0:00:53.000
<v Speaker 1>a seat cushion is mad at you. It's easy to

0:00:53.040 --> 0:00:57.120
<v Speaker 1>dismiss paraidolia as at best of fun optical illusion or

0:00:57.320 --> 0:01:01.720
<v Speaker 1>at worst a psychotic delusion. But some scientists now believe

0:01:01.840 --> 0:01:05.479
<v Speaker 1>that our uncanny ability to find faces and everyday objects

0:01:05.800 --> 0:01:08.840
<v Speaker 1>points to a new understanding of how our brains process

0:01:08.920 --> 0:01:12.800
<v Speaker 1>the outside world. Instead of taking in visual cues and

0:01:12.880 --> 0:01:15.600
<v Speaker 1>then making sense of them. As an apple, a tree

0:01:15.800 --> 0:01:18.400
<v Speaker 1>or a face. It might be the other way around.

0:01:19.080 --> 0:01:22.560
<v Speaker 1>What if our brains are actually telling our eyes what

0:01:22.720 --> 0:01:26.679
<v Speaker 1>to see. We spoke with Kang Lee, a professor of

0:01:26.680 --> 0:01:29.839
<v Speaker 1>applied psychology and human development at the University of Toronto.

0:01:30.680 --> 0:01:34.400
<v Speaker 1>Lee has spent decades studying how infants, children and adults

0:01:34.480 --> 0:01:38.320
<v Speaker 1>process faces, and relatedly, he gave a popular Ted talk

0:01:38.360 --> 0:01:41.760
<v Speaker 1>on how to tell kids are lying. Lee explained that

0:01:41.800 --> 0:01:45.000
<v Speaker 1>we're basically programmed to see faces as a product of

0:01:45.080 --> 0:01:49.520
<v Speaker 1>millions of years of evolution. Quote as soon as we're born,

0:01:49.760 --> 0:01:52.800
<v Speaker 1>we start to look for faces. One reason is that

0:01:52.840 --> 0:01:56.880
<v Speaker 1>our ancestors needed to avoid predators or find prey, all

0:01:56.920 --> 0:02:00.200
<v Speaker 1>of which have faces. And a second reason is that

0:02:00.320 --> 0:02:04.080
<v Speaker 1>humans are very social animals. When we interact with each other,

0:02:04.320 --> 0:02:06.200
<v Speaker 1>we need to know if the other person is a

0:02:06.200 --> 0:02:10.880
<v Speaker 1>friend or foe. Since the ability to quickly recognize and

0:02:10.960 --> 0:02:13.679
<v Speaker 1>respond to different faces could be a matter of life

0:02:13.720 --> 0:02:17.000
<v Speaker 1>and death. There's a much higher cost for not seeing

0:02:17.000 --> 0:02:20.280
<v Speaker 1>the lions face in the underbrush than for mistaking an

0:02:20.280 --> 0:02:23.680
<v Speaker 1>orange and black flower for a lion's face. The brain

0:02:23.800 --> 0:02:26.760
<v Speaker 1>is better off making a false positive if it means

0:02:26.760 --> 0:02:31.799
<v Speaker 1>that you're primed to recognize real danger too. Okay, So

0:02:31.919 --> 0:02:36.240
<v Speaker 1>if evolution has programmed our brains to prioritize faces, how

0:02:36.280 --> 0:02:39.960
<v Speaker 1>exactly does it all play out under the hood. The

0:02:39.960 --> 0:02:42.960
<v Speaker 1>conventional understanding of how we see things is that the

0:02:43.040 --> 0:02:47.639
<v Speaker 1>eyes taken visual stimuli from the outside world a light, colors,

0:02:47.680 --> 0:02:51.480
<v Speaker 1>shapes movement, and send that information to the visual cortex,

0:02:51.680 --> 0:02:53.800
<v Speaker 1>located in a region of the brain known as the

0:02:53.800 --> 0:02:57.880
<v Speaker 1>occipital lobe. After the occipital lobe translates the raw data

0:02:57.919 --> 0:03:01.040
<v Speaker 1>into images, those images are sent to the frontal lobe,

0:03:01.200 --> 0:03:04.840
<v Speaker 1>which does the high level processing. We look at a cliff,

0:03:05.000 --> 0:03:07.880
<v Speaker 1>and our brains then have to determine is that a

0:03:08.000 --> 0:03:12.760
<v Speaker 1>rock outcropping or is it a giant head. That conventional

0:03:12.800 --> 0:03:16.600
<v Speaker 1>model is what Lee calls bottom up processing, in which

0:03:16.639 --> 0:03:19.760
<v Speaker 1>the brain's role is to passively take an information and

0:03:19.919 --> 0:03:23.280
<v Speaker 1>make sense of it. If the brain sees faces everywhere,

0:03:23.480 --> 0:03:26.600
<v Speaker 1>it's because the brain is responding to face like stimuli,

0:03:27.240 --> 0:03:31.120
<v Speaker 1>basically any cluster of spots and spaces that roughly look

0:03:31.240 --> 0:03:34.720
<v Speaker 1>like two eyes, a nose, and amount. But Lee and

0:03:34.760 --> 0:03:38.320
<v Speaker 1>other researchers began to question the bottom up of processing model.

0:03:38.880 --> 0:03:41.600
<v Speaker 1>They wondered if it wasn't the other way around, a

0:03:41.760 --> 0:03:45.080
<v Speaker 1>top down process In which the brain is calling the shots.

0:03:46.040 --> 0:03:49.200
<v Speaker 1>Alice said, we wanted to know whether the frontal lobe

0:03:49.240 --> 0:03:52.360
<v Speaker 1>actually plays a very important role in helping us to

0:03:52.400 --> 0:03:56.200
<v Speaker 1>see faces instead of the face imagery coming from the outside.

0:03:56.560 --> 0:04:00.240
<v Speaker 1>The brain generates some kind of expectation from the frontal lobe,

0:04:00.400 --> 0:04:03.080
<v Speaker 1>then goes back to the occipital lobe and finally to

0:04:03.120 --> 0:04:08.760
<v Speaker 1>our eyes, and then we see faces. That question is

0:04:08.760 --> 0:04:12.840
<v Speaker 1>what made Lee think about paradolia. Had read those stories

0:04:12.880 --> 0:04:16.200
<v Speaker 1>of people seeing images of Jesus, Elvis, and angels in

0:04:16.240 --> 0:04:19.520
<v Speaker 1>their toast and tortillas and wondered if he could build

0:04:19.560 --> 0:04:24.400
<v Speaker 1>an experiment around it. So Lee recruited a bunch of

0:04:24.440 --> 0:04:27.400
<v Speaker 1>regular people, hooked them up to an fm R I scanner,

0:04:27.680 --> 0:04:30.800
<v Speaker 1>and showed them a series of grainy images, some of

0:04:30.839 --> 0:04:34.440
<v Speaker 1>which contained hidden faces and some of which were pure noise.

0:04:35.040 --> 0:04:38.279
<v Speaker 1>The participants were told that exactly half of the images

0:04:38.400 --> 0:04:41.520
<v Speaker 1>contained a face, which was not true, and we're asked

0:04:41.520 --> 0:04:45.200
<v Speaker 1>with each new image, do you see a face? As

0:04:45.240 --> 0:04:48.520
<v Speaker 1>a result of this prodding, participants reported seeing a face

0:04:48.680 --> 0:04:51.280
<v Speaker 1>thirty four percent of the time, and there was nothing

0:04:51.480 --> 0:04:55.520
<v Speaker 1>but static. What was most interesting to Lee were the

0:04:55.560 --> 0:04:58.200
<v Speaker 1>images coming back from the real time f m R

0:04:58.240 --> 0:05:02.280
<v Speaker 1>I scan. When part disipants reported seeing a face, the

0:05:02.320 --> 0:05:05.440
<v Speaker 1>face area of their visual cortex lit up even when

0:05:05.440 --> 0:05:08.120
<v Speaker 1>there was no face in the image at all. That

0:05:08.279 --> 0:05:11.000
<v Speaker 1>told Lee then another part of the brain must be

0:05:11.040 --> 0:05:15.240
<v Speaker 1>telling the visual cortex to see a face. In a

0:05:15.320 --> 0:05:19.919
<v Speaker 1>paper provocatively titled seeing Jesus in Toast Neural and Behavioral

0:05:19.960 --> 0:05:23.920
<v Speaker 1>Correlates a Face Paraidolia, Lee and his colleagues reported that

0:05:23.960 --> 0:05:27.640
<v Speaker 1>when the brain was properly primed to see faces, then

0:05:27.800 --> 0:05:30.360
<v Speaker 1>the expectation to see a face was coming from the

0:05:30.400 --> 0:05:35.479
<v Speaker 1>frontal lobe, specifically an area called the inferior frontal gyrus.

0:05:36.400 --> 0:05:40.120
<v Speaker 1>Lee explained, the inferior frontal gyrus is a very interesting area.

0:05:40.520 --> 0:05:43.560
<v Speaker 1>It's related to generating some kind of idea and an

0:05:43.560 --> 0:05:47.120
<v Speaker 1>instructing our visual cortex to see things. If the idea

0:05:47.200 --> 0:05:49.360
<v Speaker 1>is a face, then it would see a face. If

0:05:49.400 --> 0:05:52.000
<v Speaker 1>the idea is Jesus, I'm pretty sure the cortex is

0:05:52.040 --> 0:05:54.600
<v Speaker 1>going to see Jesus. If the idea is Elvis, then

0:05:54.640 --> 0:05:58.520
<v Speaker 1>it's going to see Elvis. The Jesus in Toast paper

0:05:58.680 --> 0:06:03.159
<v Speaker 1>one Lee teen ig Noble Prize, a cheeky award handed

0:06:03.160 --> 0:06:06.839
<v Speaker 1>out by the humorous science magazine Annals of improbable research,

0:06:07.440 --> 0:06:11.200
<v Speaker 1>but Lie says the Paradolia experiment proved the top down

0:06:11.240 --> 0:06:14.440
<v Speaker 1>processing plays a critical role in how we experience the

0:06:14.440 --> 0:06:17.680
<v Speaker 1>world around us. He said, a lot of things we

0:06:17.720 --> 0:06:20.080
<v Speaker 1>see in the world aren't coming from our site, but

0:06:20.120 --> 0:06:24.719
<v Speaker 1>are coming from inside our minds. Lee has also run

0:06:24.760 --> 0:06:28.200
<v Speaker 1>research on babies and racial bias. He found that the

0:06:28.360 --> 0:06:31.840
<v Speaker 1>very youngest babies were able to recognize differences between faces

0:06:31.920 --> 0:06:35.159
<v Speaker 1>of all races, but lost that ability as they grew older.

0:06:36.040 --> 0:06:39.520
<v Speaker 1>By nine months, they could only differentiate between faces that

0:06:39.560 --> 0:06:43.000
<v Speaker 1>were their same race. The rest started to blur together.

0:06:44.080 --> 0:06:46.599
<v Speaker 1>The reason is that they had only been exposed to

0:06:46.800 --> 0:06:50.039
<v Speaker 1>same race faces, in most case mom and dad, for

0:06:50.080 --> 0:06:53.719
<v Speaker 1>the first nine months of their life. From his research,

0:06:53.960 --> 0:06:57.680
<v Speaker 1>Lee now believes that racial biases are not biological. We

0:06:57.920 --> 0:07:00.600
<v Speaker 1>simply learned to trust people that look like the faces

0:07:00.640 --> 0:07:04.480
<v Speaker 1>we saw when our brains were first developing. Unfortunately, this

0:07:04.560 --> 0:07:07.600
<v Speaker 1>can develop later into different kinds of biases based on

0:07:07.640 --> 0:07:12.520
<v Speaker 1>societal messaging and stereotypes. Lee said. The reason that there

0:07:12.520 --> 0:07:16.680
<v Speaker 1>are racial biases is because of early experiences. If we

0:07:16.840 --> 0:07:20.960
<v Speaker 1>created a diverse visual and social experience for children, then

0:07:21.000 --> 0:07:25.080
<v Speaker 1>they would be less likely to have biases. The good

0:07:25.120 --> 0:07:28.360
<v Speaker 1>news is that parents and educators can combat racial bias

0:07:28.400 --> 0:07:31.680
<v Speaker 1>by exposing infants and toddlers to faces of all races

0:07:32.040 --> 0:07:35.440
<v Speaker 1>and identifying them by things like names, professions, or other

0:07:35.600 --> 0:07:40.160
<v Speaker 1>personally identifying qualifiers or interests, not as a white person

0:07:40.440 --> 0:07:48.000
<v Speaker 1>or a black person. Today's episode was written by Dave

0:07:48.040 --> 0:07:50.280
<v Speaker 1>Ruse and produced by Tyler Clain. For more on this

0:07:50.360 --> 0:07:52.880
<v Speaker 1>amounts of other topics, visit how stuff works dot com.

0:07:52.880 --> 0:07:55.520
<v Speaker 1>Brain Stuff is production of iHeart Radio. For more podcasts

0:07:55.520 --> 0:07:58.360
<v Speaker 1>to my heart Radio, visit the iHeart Radio app, Apple podcasts,

0:07:58.400 --> 0:07:59.960
<v Speaker 1>or wherever you listen to your favorite show