WEBVTT - Ep19 "How far can you trust your memory?"

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<v Speaker 1>When you witness an event, when you see it with

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<v Speaker 1>your own eyes, it certainly feels like what you saw

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<v Speaker 1>can't be questioned. But how good is your memory? Really?

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<v Speaker 1>Can you misremember details? Is your memory like a video

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<v Speaker 1>or isn't it? Is your ability to remember changed by

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<v Speaker 1>how many things are going on in the scene, or

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<v Speaker 1>whether there's a gun pointed at you. Can something told

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<v Speaker 1>to you after the event change your memory of the event.

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<v Speaker 1>Welcome to Inner Cosmos with me David Eagleman. I'm a

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<v Speaker 1>neuroscientist and an author at Stanford and in these episodes

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<v Speaker 1>we sail deeply into our three pound universe to understand

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<v Speaker 1>the intersection between brains and our lives. Today's episode, we're

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<v Speaker 1>going to be talking about eyewitness testimony. I think it's

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<v Speaker 1>fair to say that most of us when we see

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<v Speaker 1>something happen, we know what we've just seen. This occurred,

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<v Speaker 1>this is what the person looked like, and so on.

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<v Speaker 1>And in fact, when jurors get interviewed on this point,

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<v Speaker 1>they'll often say something like, yes, I understand there are

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<v Speaker 1>problems with memory and eyewitness testimony, but my memory is

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<v Speaker 1>like a video recorder. But the question we're going to

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<v Speaker 1>ask today is how good is our memory really and

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<v Speaker 1>what does that mean for courts of law? So strap

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<v Speaker 1>in because we're going to see some amazing events and

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<v Speaker 1>court cases that may change your opinion on your own

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<v Speaker 1>memory and about what you take to be true. One

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<v Speaker 1>of the courses I teach it Anford is the Brain and

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<v Speaker 1>the Law. It's where neuroscience intersects with the legal system.

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<v Speaker 1>And a few months ago I was in the middle

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<v Speaker 1>of lecturing to my seventies students when something very wild happened.

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<v Speaker 1>I was talking to the auditorium and the back door opens,

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<v Speaker 1>and a middle aged woman comes in at the back

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<v Speaker 1>of the classroom, and she walks halfway down the aisle

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<v Speaker 1>toward me and then just interrupts me, as though I

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<v Speaker 1>weren't talking at all. She says, are you David Eagleman?

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<v Speaker 1>And I said yes, but I'm in the middle of

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<v Speaker 1>teaching a class. Who are you? And she starts shouting

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<v Speaker 1>how she's emailed me over and over and hasn't gotten

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<v Speaker 1>any reply. So I said, I'm sorry, I have an

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<v Speaker 1>overwhelmed inbox and I can't get to all my emails,

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<v Speaker 1>but I am teaching a class and I'll have to

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<v Speaker 1>talk with you later. But she's clearly very agitated, and

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<v Speaker 1>she doesn't leave, and she keeps shouting at me and

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<v Speaker 1>takes a step closer to me down the aisle and

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<v Speaker 1>asks if I'm ever planning to answer her, or whether

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<v Speaker 1>I'm going to continue to ignore her. And I say, ma'am,

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<v Speaker 1>you're going to have to leave and I'll talk with

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<v Speaker 1>you afterwards. And finally, after what seemed like forever, although

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<v Speaker 1>it was presumably less than a minute, she says, I'm

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<v Speaker 1>going to wait for you out here, and she goes

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<v Speaker 1>stomping out the back door. So I tried to maintain normalcy,

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<v Speaker 1>and I continued the lecture for about thirty more minutes.

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<v Speaker 1>And this class is a long one. I give three

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<v Speaker 1>hours of lecture, so normally at this point I give

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<v Speaker 1>my students a break at the midpoint, where we go

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<v Speaker 1>outside and we stretch for a few minutes. But I said

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<v Speaker 1>to the class, look, it's our break time. But I'm

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<v Speaker 1>not sure that it's going to make sense to go

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<v Speaker 1>out there. I'm going to call campus security just to

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<v Speaker 1>let them know about that woman, and I want to

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<v Speaker 1>give them a description, but I couldn't really tell her

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<v Speaker 1>height and wait very well from up here at the podium,

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<v Speaker 1>and I guess I was so caught up in the

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<v Speaker 1>surprise of the whole thing and thinking about the ways

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<v Speaker 1>this scenario could evolve badly that I didn't really encode

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<v Speaker 1>all the details that I wanted to, like what she

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<v Speaker 1>was wearing, or her hair color, or the details of

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<v Speaker 1>her face as well as I wish that I had

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<v Speaker 1>encoded these. So I told the class, look, I remember

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<v Speaker 1>the random fact that she had sunglasses perched on top

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<v Speaker 1>of her head, but I would really like your help

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<v Speaker 1>in getting a rich description. So I got everyone to

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<v Speaker 1>take out a piece of notebook paper, and I told

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<v Speaker 1>them the best way to accurately identify someone is to

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<v Speaker 1>have a collection of witnesses do this independently. So I said, look,

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<v Speaker 1>if you could draw a picture of what she looked

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<v Speaker 1>like and also write down her height and her weight,

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<v Speaker 1>then I'm going to compile these and give Stanford Security

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<v Speaker 1>an excellent description. So one thing I said is don't

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<v Speaker 1>look at each other's drawing. Just drawn on your own

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<v Speaker 1>and then hand it up to me. So everyone drew

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<v Speaker 1>their best version of how they remembered her, and some

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<v Speaker 1>people relied more on the drawing part and some on

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<v Speaker 1>the verbal descriptions. I collected these all up, and I said, great,

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<v Speaker 1>I'm going to have a very complete average version of

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<v Speaker 1>her that I can communicate to security. So I started

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<v Speaker 1>flipping through these and reading them out loud to the class,

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<v Speaker 1>and we were all shocked because one person described her

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<v Speaker 1>as five foot four and wearing a blue shirt and

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<v Speaker 1>the next described her as five foot eight and wearing

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<v Speaker 1>a white shirt. And the age estimates were between forty

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<v Speaker 1>and sixty, and the hair color was everything from brown

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<v Speaker 1>hair to gray hair to light hair and so on.

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<v Speaker 1>And the body weight ranged over about forty pounds. So

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<v Speaker 1>the whole collection provided me with no benefit at all

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<v Speaker 1>in calling security. So I didn't call security, but not

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<v Speaker 1>for the reason you might think. The reason I didn't

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<v Speaker 1>call is because the woman was a professional actor that

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<v Speaker 1>I had hired. And the whole point of the exercise

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<v Speaker 1>was to demonstrate firsthand to my students that vision is

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<v Speaker 1>not like a camera and memory is not like a recorder.

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<v Speaker 1>And from there I segued into the real topic of

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<v Speaker 1>the lecture, which was on the problems and challenges of

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<v Speaker 1>eyewitness testimony. So let's begin with a woman named Jennifer Thompson.

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<v Speaker 1>She was twenty two and living in North Carolina, and

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<v Speaker 1>a man broke into her apartment and raped her. It

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<v Speaker 1>was a long ordeal, and Jennifer really paid attention to

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<v Speaker 1>his face so that she would be able to identify

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<v Speaker 1>him later. When this whole terrible event was over and

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<v Speaker 1>he ran off, she drove herself to the hospital and

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<v Speaker 1>had a rape kit taken, and then she went straight

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<v Speaker 1>to the police, and with their help she was able

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<v Speaker 1>to create a composite image of what he looked like.

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<v Speaker 1>So the police went out and they gathered suspects, and

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<v Speaker 1>they put together a lineup of seven men, and Jennifer

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<v Speaker 1>concluded that one man in that lineup, a man named

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<v Speaker 1>Ronald Cotton, was the man who had raped her. So

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<v Speaker 1>Cotton went to jail for the crime, but the whole

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<v Speaker 1>time he was there he maintained his innocence, and many

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<v Speaker 1>years into his jail sense he saw the oj Simpson

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<v Speaker 1>trial on the prison television and he heard about DNA evidence,

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<v Speaker 1>which was something he had never heard of before, and

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<v Speaker 1>so he contacted his lawyer and he said, what is

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<v Speaker 1>this DNA evidence? Is this something we should look into?

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<v Speaker 1>And his lawyer was able to get a hold of

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<v Speaker 1>the rape kit from almost eleven years earlier, and they

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<v Speaker 1>were able to extract enough DNA from that, and it

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<v Speaker 1>turned out that Cotton was in fact innocent. He was

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<v Speaker 1>not the man who had done it. The man who

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<v Speaker 1>had raped Jennifer Thompson was a man named Bobby Poole,

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<v Speaker 1>and he was then apprehended and confessed to the rape.

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<v Speaker 1>And so Ronald Cotton was released after having spent eleven

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<v Speaker 1>years of his life in prison for a crime he

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<v Speaker 1>did not commit. So Jennifer was shattered by this because

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<v Speaker 1>she realized now that, based on her eyewitness testimony and

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<v Speaker 1>her certainty, she had sent an innocent man to jail

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<v Speaker 1>for eleven years. And she said that one of the

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<v Speaker 1>most important things to her as a rape victim was

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<v Speaker 1>to never feel any guilt over what had happened to her.

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<v Speaker 1>It wasn't her fault that she had been raped, But

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<v Speaker 1>all of a sudden, now she was crushed with guilt

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<v Speaker 1>because she had ruined an innocent man's life by erroneously

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<v Speaker 1>identifying him in a lineup. So, about three years after

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<v Speaker 1>Ronald Cotton got released, she decided she was going to

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<v Speaker 1>reach out to him, make contact with him, and of

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<v Speaker 1>course she was terrified about doing this. But she contacted

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<v Speaker 1>him anyway, and they met at a church and he

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<v Speaker 1>said that he had already forgiven her, and they talked

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<v Speaker 1>at length, and they both cried, and eventually they became friends,

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<v Speaker 1>and they ended up writing an excellent book together. It's

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<v Speaker 1>called Picking Cotton. And one of the things she does

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<v Speaker 1>in the book is wrestle with the question that was

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<v Speaker 1>most deeply burned into her mind. How could she have

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<v Speaker 1>picked the wrong person and have felt so certain about it.

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<v Speaker 1>How can one feel so sure and be wrong. So

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<v Speaker 1>they travel around and give talks together about the fallibility

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<v Speaker 1>of eyewitness testimony, about how you can believe one hundred

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<v Speaker 1>percent that's the face, but it doesn't actually necessitate that

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<v Speaker 1>you are correct. I met the two of them at

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<v Speaker 1>a conference when they were talking about the book. They're

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<v Speaker 1>close friends now, and they travel around together so much

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<v Speaker 1>that often people mistake them for a couple, and they say, oh,

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<v Speaker 1>how did you two meet, And they say, it's a

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<v Speaker 1>long story, okay. But the heart of the problem is

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<v Speaker 1>that memory is always a reconstruction. Memory is not like

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<v Speaker 1>a videotape. It's not as though your memory is something

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<v Speaker 1>where your visual system is taking in information and retaining

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<v Speaker 1>zeros and ones the way a cell phone video would.

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<v Speaker 1>All you ever see is what you believe you are

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<v Speaker 1>seeing out there. So if I were to ask you

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<v Speaker 1>the details of what's in front of you right now,

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<v Speaker 1>you'd be able to answer it once you pay attention

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<v Speaker 1>to things. But you weren't aware of that even though

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<v Speaker 1>it's been sitting on your retina this whole time. You're

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<v Speaker 1>not actually seeing the world like a camera. Instead, what

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<v Speaker 1>you have is a rough internal model of what's going on.

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<v Speaker 1>And when you need to take in more information, then

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<v Speaker 1>you do. You go out and point your eyes and

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<v Speaker 1>pull in more in. So when I ask you about

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<v Speaker 1>the scene in front of you, you need to employ

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<v Speaker 1>your attentional mechanisms to go and crawl the scene out

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<v Speaker 1>there and try to identify what's sitting there. So today's

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<v Speaker 1>question is how reliable is eyewitness testimony? In the courtroom,

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<v Speaker 1>for my students, I was able to demonstrate to them

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<v Speaker 1>the massive variety of their drawings tall, short, heavy, light,

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<v Speaker 1>curly hair, straight hair, glasses, no glasses, and none of

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<v Speaker 1>their drawings looked particularly like the actor at all. But

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<v Speaker 1>forget a classroom test, how does this play out in

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<v Speaker 1>the real world? How often does I witness testimony end

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<v Speaker 1>up convicting the wrong person, as happened with Jennifer and

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<v Speaker 1>Ronald Well. One thing you could do is look at

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<v Speaker 1>people who are found to be innocent years after they

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<v Speaker 1>were convicted for a crime, and then figure out what

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<v Speaker 1>percentage of them were convicted in whole or in part

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<v Speaker 1>based on iwold testimony. So you may have heard of

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<v Speaker 1>the Innocence Project. It is for people who are serving

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<v Speaker 1>time in prison and are maintaining their innocence. The lawyers

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<v Speaker 1>and forensic scientists at the Innocence Project go back and

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<v Speaker 1>open these cold cases and work to reassess the case

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<v Speaker 1>with DNA evidence. So what the Innocence Project found out

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<v Speaker 1>of the two hundred and forty people that they have exonerated,

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<v Speaker 1>in other words, who have been found innocent of the

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<v Speaker 1>crime they were convicted for, is that over sixty percent

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<v Speaker 1>of them went to jail in whole or in part

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<v Speaker 1>because of eyewitness testimony where someone said, I know that's

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<v Speaker 1>the guy. I saw him with my own eyes. There's

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<v Speaker 1>no doubt in my mind. Now this leads to a

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<v Speaker 1>question does eyewitness testimony matter? How swaying is it to jurors? Well,

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<v Speaker 1>the answer is it's enormously swaying. The US Supreme Court

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<v Speaker 1>Justice William Brennan pointed out that vote all the evidence

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<v Speaker 1>points rather strikingly to the conclusion that there is almost

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<v Speaker 1>nothing more convincing than a live human being who takes

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<v Speaker 1>the stand, points a finger at the defendants and says,

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<v Speaker 1>that's the one unquote. So imagine you have a prosecutor

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<v Speaker 1>showing circumstantial evidence, or a scientist comes up and says, look,

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<v Speaker 1>here's my neuroimaging evidence, or you have a lie detector

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<v Speaker 1>expert or whatever, and then you get an eyewitness and

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<v Speaker 1>she takes the stand and she has tears in her eyes.

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<v Speaker 1>She's genuine, she says, I know what I saw. He

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<v Speaker 1>is the one that has enormous way on jurors. Justice

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<v Speaker 1>Brennan goes on to point out that eyewent his testimony

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<v Speaker 1>is the type of evidence that quote, juries seem most

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<v Speaker 1>receptive to and not inclined to discredit end quote. In

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<v Speaker 1>other words, a scientist might say something on the stand

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<v Speaker 1>and the jury thinks, yeah, maybe, but there's another interpretation.

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<v Speaker 1>But when it comes to an eyewitness, we tend to say, Okay,

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<v Speaker 1>that's the gospel. Finally, Brennan points out that the court

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<v Speaker 1>has long recognized, at least since the nineteen sixties, the

0:14:27.920 --> 0:14:34.600
<v Speaker 1>quote inherently suspect qualities of eyewitness identification evidence unquote, and

0:14:34.640 --> 0:14:38.160
<v Speaker 1>that the court finds that kind of evidence quote notoriously

0:14:38.560 --> 0:14:43.120
<v Speaker 1>unreliable end quote. So that's Brennan, having spent a life

0:14:43.160 --> 0:14:45.960
<v Speaker 1>on the bench, describing what he knows to be true.

0:14:46.760 --> 0:14:49.600
<v Speaker 1>So why is it so swaying? Well, maybe we can

0:14:49.640 --> 0:14:53.880
<v Speaker 1>find some evidence from the laboratory. So my colleague, Elizabeth

0:14:53.960 --> 0:14:57.359
<v Speaker 1>loftis that you see, Irvine is probably the most famous

0:14:57.400 --> 0:15:02.560
<v Speaker 1>memory eyewitness researcher. Here's one example of her many many studies.

0:15:03.000 --> 0:15:06.840
<v Speaker 1>You tell mock jurors the details of a case. They

0:15:06.880 --> 0:15:09.640
<v Speaker 1>get to hear the attorneys on both sides, the prosecution

0:15:09.800 --> 0:15:13.320
<v Speaker 1>and the defense, give their arguments. Some of the jurors

0:15:13.560 --> 0:15:17.840
<v Speaker 1>only hear circumstantial evidence. There's no eyewitness testimony in that case.

0:15:18.440 --> 0:15:21.960
<v Speaker 1>And given the facts that they've heard, eighteen percent of

0:15:22.000 --> 0:15:25.600
<v Speaker 1>the mock jurors conclude that the guy is guilty. But

0:15:25.720 --> 0:15:30.280
<v Speaker 1>the other group, here's eyewitness testimony, everything else being the same,

0:15:30.760 --> 0:15:34.600
<v Speaker 1>and now seventy two percent of the mock jurors find

0:15:34.680 --> 0:15:37.480
<v Speaker 1>the guy guilty. So it goes from eighteen percent of

0:15:37.520 --> 0:15:40.560
<v Speaker 1>people finding him guilty to seventy two percent just based

0:15:40.560 --> 0:15:43.320
<v Speaker 1>on the eyewitness testimony. That means that even though we

0:15:43.520 --> 0:15:48.640
<v Speaker 1>know eyewitness testimony is inherently unreliable, just look at the

0:15:48.640 --> 0:15:52.640
<v Speaker 1>effect of saying, we have someone who saw that person.

0:15:53.000 --> 0:15:54.760
<v Speaker 1>Maybe it was a little bit far away, maybe it

0:15:54.800 --> 0:15:57.400
<v Speaker 1>was sort of dark out, but I'm pretty sure that

0:15:57.600 --> 0:16:00.120
<v Speaker 1>was the guy, and bam, it goes up to seventy two.

0:16:00.480 --> 0:16:04.200
<v Speaker 1>It's a huge difference, And for something that's so unreliable,

0:16:04.600 --> 0:16:07.640
<v Speaker 1>it's a little hard to justify that kind of pull.

0:16:08.880 --> 0:16:12.640
<v Speaker 1>So we know that eyewitness testimony is swaying, But why

0:16:12.760 --> 0:16:16.360
<v Speaker 1>is it so bad? Why can't we look at somebody

0:16:16.600 --> 0:16:19.760
<v Speaker 1>like the actor who broke into my classroom and just

0:16:19.880 --> 0:16:25.240
<v Speaker 1>describe accurately what she looked like. Well, for starters, it's

0:16:25.400 --> 0:16:29.160
<v Speaker 1>really really hard to remember what somebody looks like. Think

0:16:29.160 --> 0:16:32.080
<v Speaker 1>about the last time you went to the coffee shop,

0:16:32.280 --> 0:16:35.720
<v Speaker 1>what precisely did the person at the cash register look like?

0:16:36.480 --> 0:16:39.360
<v Speaker 1>Or if you had to describe your neighbor down the

0:16:39.440 --> 0:16:42.200
<v Speaker 1>street who you don't see that often to the police,

0:16:42.880 --> 0:16:45.720
<v Speaker 1>how well could you do so? If you really had

0:16:45.720 --> 0:16:47.800
<v Speaker 1>to pull out a piece of paper and draw the

0:16:47.840 --> 0:16:51.160
<v Speaker 1>face or describe it verbally. So police have worked for

0:16:51.200 --> 0:16:56.400
<v Speaker 1>decades to try to make this easier. The original approach

0:16:56.560 --> 0:16:59.880
<v Speaker 1>was to have a trained artist who sketches while you

0:17:00.520 --> 0:17:03.200
<v Speaker 1>and then you can work back and forth together. But

0:17:03.240 --> 0:17:06.159
<v Speaker 1>eventually the police put together systems where you could just

0:17:06.600 --> 0:17:09.919
<v Speaker 1>look at the individual features like the eyes and the

0:17:09.960 --> 0:17:12.280
<v Speaker 1>eyebrows and the nose and the mouth, and you flip

0:17:12.320 --> 0:17:14.800
<v Speaker 1>them until you get the face that you want out

0:17:14.800 --> 0:17:17.960
<v Speaker 1>of that. So instead of me asking you to take

0:17:17.960 --> 0:17:21.119
<v Speaker 1>out a piece of notebook paper and draw seth Rogen,

0:17:21.560 --> 0:17:23.800
<v Speaker 1>instead I say, look, here's a bunch of eyes and

0:17:23.880 --> 0:17:27.320
<v Speaker 1>noses and mouths, and I want you to flip these

0:17:27.359 --> 0:17:30.080
<v Speaker 1>around until you get a good picture of seth Rogen

0:17:30.520 --> 0:17:33.800
<v Speaker 1>or the person that you saw or the perpetrator. So

0:17:33.840 --> 0:17:36.120
<v Speaker 1>the first system for this was introduced in the late

0:17:36.240 --> 0:17:40.479
<v Speaker 1>nineteen fifties by the Los Angeles Police Department. It was

0:17:40.880 --> 0:17:44.280
<v Speaker 1>these features on transparent sheets and you rotate them around

0:17:44.320 --> 0:17:49.679
<v Speaker 1>and you reconstruct the face. This was called Identicit, and

0:17:49.880 --> 0:17:53.080
<v Speaker 1>Identicate was used by Scotland Yard in a case in

0:17:53.160 --> 0:17:57.600
<v Speaker 1>nineteen sixty one, a woman was stabbed to death in

0:17:57.640 --> 0:18:00.639
<v Speaker 1>an antique shop where she work, and the police interviewed

0:18:00.640 --> 0:18:04.119
<v Speaker 1>people and learned that someone suspicious had been in the

0:18:04.160 --> 0:18:07.680
<v Speaker 1>shop a few days earlier, and so Scotland Yard turned

0:18:07.920 --> 0:18:11.879
<v Speaker 1>to this invention from America and had their witnesses compile

0:18:12.040 --> 0:18:16.720
<v Speaker 1>the suspect's face using identicit, And some days later a

0:18:16.760 --> 0:18:20.120
<v Speaker 1>policeman saw a man named Edwin Bush on the street

0:18:20.520 --> 0:18:24.280
<v Speaker 1>and recognized him from the identicate pictures in the newspaper,

0:18:25.680 --> 0:18:27.840
<v Speaker 1>and in fact, when they arrested him and took him

0:18:27.840 --> 0:18:30.000
<v Speaker 1>to the station, they found he had a copy of

0:18:30.040 --> 0:18:33.960
<v Speaker 1>the newspaper drawing in his own pocket, and his shoes

0:18:34.080 --> 0:18:36.399
<v Speaker 1>matched the size of the shoes in the crime scene,

0:18:36.400 --> 0:18:39.119
<v Speaker 1>and so on, and he ended up confessing to the murder.

0:18:39.520 --> 0:18:42.040
<v Speaker 1>So this was considered a real success in how you

0:18:42.080 --> 0:18:47.280
<v Speaker 1>could crank up the reliability of identifying people and identic

0:18:47.320 --> 0:18:51.600
<v Speaker 1>It was eventually replaced by photo fit in the nineteen seventies,

0:18:51.760 --> 0:18:56.360
<v Speaker 1>where instead of using drawings, you use collages of photos

0:18:56.400 --> 0:18:58.720
<v Speaker 1>of eyes and ears and noses and mouth and hairline

0:18:58.720 --> 0:19:02.160
<v Speaker 1>and so on, and the photos give a better image

0:19:02.160 --> 0:19:05.679
<v Speaker 1>of the suspect's face rather than the line drawings. And

0:19:05.840 --> 0:19:09.280
<v Speaker 1>with due course all this evolved into software in which

0:19:09.280 --> 0:19:12.239
<v Speaker 1>you take a three dimensional model of the head and

0:19:12.280 --> 0:19:13.879
<v Speaker 1>you do the same sort of thing where you can

0:19:13.960 --> 0:19:15.960
<v Speaker 1>change the eyes and nose and mouth and eyebrows and

0:19:16.000 --> 0:19:18.560
<v Speaker 1>so on. And there were many stories that came out

0:19:18.560 --> 0:19:22.720
<v Speaker 1>of all these systems and that increased confidence in the approach.

0:19:23.840 --> 0:19:27.040
<v Speaker 1>But it turns out that despite success stories with this,

0:19:27.480 --> 0:19:29.520
<v Speaker 1>when you really start looking into it, it turns out

0:19:29.560 --> 0:19:33.720
<v Speaker 1>these face recognition approaches are generally not so good in

0:19:33.800 --> 0:19:38.320
<v Speaker 1>terms of being able to identify people. Some years ago,

0:19:38.440 --> 0:19:42.399
<v Speaker 1>an MIT researcher named Pawan Sinha got a hold of

0:19:42.440 --> 0:19:45.919
<v Speaker 1>the standard facial software that police forces use, and he

0:19:46.040 --> 0:19:49.720
<v Speaker 1>requested an expert with several years of experience with the

0:19:49.760 --> 0:19:54.320
<v Speaker 1>system to put together reconstructions directly from a picture and

0:19:54.480 --> 0:19:58.320
<v Speaker 1>without time constraints. That meant the operator didn't have to

0:19:58.320 --> 0:20:01.200
<v Speaker 1>rely on verbal descriptions. He could just look at the

0:20:01.200 --> 0:20:05.439
<v Speaker 1>photos and put this together. So each year in my class,

0:20:05.440 --> 0:20:08.560
<v Speaker 1>I show the students these four photographs and I offer

0:20:08.640 --> 0:20:12.159
<v Speaker 1>ten dollars to whoever can identify the pictures, and no

0:20:12.240 --> 0:20:15.679
<v Speaker 1>one ever can. There are lots of wrong guesses, but

0:20:15.760 --> 0:20:18.679
<v Speaker 1>so far no one has gotten them. Right. Now, the

0:20:18.760 --> 0:20:24.280
<v Speaker 1>pictures are of Bill Cosby, Carl Sagan, Ronald Reagan, Michael Jordan.

0:20:24.720 --> 0:20:27.360
<v Speaker 1>Now I get it. These are faces that the younger

0:20:27.440 --> 0:20:31.679
<v Speaker 1>generation can't necessarily identify anyway. But at the peak of

0:20:31.720 --> 0:20:35.680
<v Speaker 1>these guys popularity in the nineteen eighties, people couldn't identify

0:20:35.880 --> 0:20:40.800
<v Speaker 1>these pictures. Then the reconstructions just weren't close enough to

0:20:40.840 --> 0:20:44.560
<v Speaker 1>the actual face to make the match. And in case

0:20:44.600 --> 0:20:48.360
<v Speaker 1>you think this might just be a laboratory artifact, there

0:20:48.359 --> 0:20:50.880
<v Speaker 1>are plenty of real life cases where you look at

0:20:50.880 --> 0:20:54.920
<v Speaker 1>the identicate composite and then you look at the captured

0:20:55.040 --> 0:20:58.520
<v Speaker 1>person's photograph and you'll know right away that you would

0:20:58.520 --> 0:21:03.440
<v Speaker 1>have never identified that person from that drawing. Why. Well,

0:21:03.600 --> 0:21:06.680
<v Speaker 1>part of the problem is that the feature based composite

0:21:06.680 --> 0:21:10.720
<v Speaker 1>image is built from the pieces and parts. You say,

0:21:10.840 --> 0:21:12.760
<v Speaker 1>I think the guy's eyes looked sort of like this,

0:21:12.880 --> 0:21:14.480
<v Speaker 1>and his mouth looked sort of like that, and his

0:21:14.560 --> 0:21:16.840
<v Speaker 1>nose and his eyebrows and so on. But that's not

0:21:16.920 --> 0:21:21.040
<v Speaker 1>the way the human visual system works. It recognizes faces

0:21:21.080 --> 0:21:25.160
<v Speaker 1>based on the whole picture. What's called the gestalt, which

0:21:25.200 --> 0:21:28.359
<v Speaker 1>is the German word that signifies when a whole is

0:21:28.480 --> 0:21:33.000
<v Speaker 1>perceived as more than the sum of its parts. But

0:21:33.160 --> 0:21:37.480
<v Speaker 1>that is only one problem. Let's imagine that you could

0:21:37.520 --> 0:21:41.440
<v Speaker 1>somehow reconstruct a pretty good likeness there's also the problem

0:21:41.600 --> 0:21:44.960
<v Speaker 1>of similarity, which is to say, a lot of people

0:21:45.119 --> 0:21:47.879
<v Speaker 1>just look alike. So there was an amazing case some

0:21:47.960 --> 0:21:51.280
<v Speaker 1>years ago in which a man named Lawrence Berson, who

0:21:51.320 --> 0:21:55.080
<v Speaker 1>had curly hair and big square glasses, was convicted of

0:21:55.160 --> 0:21:58.720
<v Speaker 1>several rape cases and went to jail. And then another guy,

0:21:58.840 --> 0:22:02.960
<v Speaker 1>George Morales, with curly hair and big square glasses, was

0:22:03.000 --> 0:22:07.119
<v Speaker 1>convicted of several robberies and went to jail, and both

0:22:07.160 --> 0:22:10.399
<v Speaker 1>protested their innocence, and it turns out they were telling

0:22:10.440 --> 0:22:13.200
<v Speaker 1>the truth. The guy who did all of the crimes

0:22:13.640 --> 0:22:17.400
<v Speaker 1>was a guy named Richard Carbone, who had curly hair

0:22:17.520 --> 0:22:22.760
<v Speaker 1>and big square glasses. Carbone had been described by several eyewitnesses,

0:22:23.200 --> 0:22:26.600
<v Speaker 1>and these two other poor guys served jail time because

0:22:27.000 --> 0:22:29.879
<v Speaker 1>they were picked out of the police lineups. And putting

0:22:29.920 --> 0:22:32.399
<v Speaker 1>a photo of these guys on eagleman dot com slash

0:22:32.440 --> 0:22:36.400
<v Speaker 1>podcast because it's so striking how different people can look

0:22:36.440 --> 0:22:38.800
<v Speaker 1>similar to one another. So I've told you so far

0:22:38.840 --> 0:22:42.520
<v Speaker 1>that the brain in codes faces holistically, not in bits

0:22:42.520 --> 0:22:45.000
<v Speaker 1>and parts, and also that a lot of people look

0:22:45.119 --> 0:22:49.359
<v Speaker 1>roughly similar. But neither of those problems even competes with

0:22:49.480 --> 0:22:54.320
<v Speaker 1>the biggest problem of eyewitness testimony, and that is our

0:22:54.600 --> 0:22:58.520
<v Speaker 1>memories are terrible. We all like to think that we

0:22:58.560 --> 0:23:01.760
<v Speaker 1>can remember a face in describe it, but as my

0:23:01.880 --> 0:23:04.440
<v Speaker 1>students saw from trying to draw the woman who broke

0:23:04.480 --> 0:23:08.360
<v Speaker 1>into my classroom and spoke angrily with me for a minute,

0:23:08.840 --> 0:23:12.479
<v Speaker 1>it's really hard to remember the details of someone's face

0:23:12.560 --> 0:23:15.600
<v Speaker 1>and then try to reconstruct that. And the past few

0:23:15.680 --> 0:23:20.280
<v Speaker 1>decades have seen really great studies which undermine our confidence

0:23:20.400 --> 0:23:23.120
<v Speaker 1>that this should be easy to do. So the first

0:23:23.160 --> 0:23:26.840
<v Speaker 1>thing to appreciate is that there are two phases of memory.

0:23:26.880 --> 0:23:30.360
<v Speaker 1>The first is encoding, So when the woman burst into

0:23:30.400 --> 0:23:33.359
<v Speaker 1>my classroom, the students were encoding what they were seeing.

0:23:33.440 --> 0:23:36.639
<v Speaker 1>Their brains were writing it down, and the second phase

0:23:36.680 --> 0:23:41.159
<v Speaker 1>is retrieval, or pulling the memory back up later. In

0:23:41.240 --> 0:23:44.280
<v Speaker 1>the case of my classroom, I waited about thirty minutes

0:23:44.359 --> 0:23:47.720
<v Speaker 1>before asking them to draw the face, and it turns

0:23:47.760 --> 0:23:51.320
<v Speaker 1>out the forgetting curve is quite steep. By thirty minutes in,

0:23:51.400 --> 0:23:54.800
<v Speaker 1>they've forgotten most of the important details. So let's break

0:23:54.840 --> 0:23:57.639
<v Speaker 1>these down one at a time. We'll start with encoding,

0:23:57.720 --> 0:24:00.919
<v Speaker 1>writing down the memory. One of the biggest problems with

0:24:01.280 --> 0:24:06.320
<v Speaker 1>encoding a memory during a crime is what's called weapon focus.

0:24:06.720 --> 0:24:09.399
<v Speaker 1>So if a person has a knife on you, or

0:24:09.520 --> 0:24:12.560
<v Speaker 1>is wielding a gun, or has a baseball bat or whatever,

0:24:13.200 --> 0:24:16.400
<v Speaker 1>your brain can't help but to be focused on that,

0:24:17.119 --> 0:24:20.000
<v Speaker 1>and as a result, it's harder to remember details about

0:24:20.000 --> 0:24:24.640
<v Speaker 1>the person's face. So here's another study from Elizabeth loftis

0:24:24.720 --> 0:24:27.160
<v Speaker 1>she has you come into a room and she tells

0:24:27.200 --> 0:24:30.520
<v Speaker 1>you you're going to participate in some psychology exam. And

0:24:30.600 --> 0:24:34.080
<v Speaker 1>while you're waiting there, you hear two people arguing, and

0:24:34.119 --> 0:24:36.480
<v Speaker 1>then one person comes out of the room and he's

0:24:36.480 --> 0:24:38.880
<v Speaker 1>got some grease on his hands and he's holding a pen.

0:24:39.560 --> 0:24:43.359
<v Speaker 1>So that scenario one. Scenario two is to hear the

0:24:43.359 --> 0:24:45.920
<v Speaker 1>same thing, the two people arguing, and then the guy

0:24:45.960 --> 0:24:49.800
<v Speaker 1>comes out and he's holding a blood stained knife. And

0:24:49.800 --> 0:24:53.560
<v Speaker 1>then she studies how well you can identify the person

0:24:53.680 --> 0:24:56.560
<v Speaker 1>after that, And you can imagine what happens when the

0:24:56.560 --> 0:24:59.720
<v Speaker 1>guy is holding the blood stained knife. How good is

0:24:59.760 --> 0:25:03.240
<v Speaker 1>your identification about what his face looked like. It's terrible.

0:25:03.640 --> 0:25:07.439
<v Speaker 1>When there's a weapon involved, witnesses are not encoding the

0:25:07.560 --> 0:25:10.880
<v Speaker 1>details about the person. They have high anxiety and they're

0:25:10.920 --> 0:25:14.240
<v Speaker 1>staring at the weapon. It's the most salient thing in

0:25:14.280 --> 0:25:16.560
<v Speaker 1>the scene. It is the ball to keep your eye on,

0:25:17.359 --> 0:25:20.960
<v Speaker 1>so weapon focus is one problem. A second problem with

0:25:21.119 --> 0:25:24.159
<v Speaker 1>encoding memory during a crime scene is what is called

0:25:24.359 --> 0:25:28.399
<v Speaker 1>Q overload. When there's a really salient scene going on,

0:25:28.440 --> 0:25:31.320
<v Speaker 1>when there's lots of stuff happening, it's just hard to

0:25:31.480 --> 0:25:33.720
<v Speaker 1>encode all of that. So let's say that the woman

0:25:33.760 --> 0:25:36.320
<v Speaker 1>had come into my classroom and she was not only

0:25:36.400 --> 0:25:39.480
<v Speaker 1>yelling at me, but she starts throwing something at me.

0:25:39.720 --> 0:25:41.600
<v Speaker 1>And then as soon as that happens, I pull out

0:25:41.600 --> 0:25:43.880
<v Speaker 1>a taser and then a student over on the left

0:25:43.880 --> 0:25:46.680
<v Speaker 1>starts screaming, and suddenly a student on the right leaps

0:25:46.760 --> 0:25:49.320
<v Speaker 1>up and says, I'm going to protect doctor Eagleman and

0:25:49.480 --> 0:25:52.679
<v Speaker 1>dives in to tackle her. Imagine, all this stuff is happening,

0:25:52.720 --> 0:25:55.800
<v Speaker 1>bang bang bang, Well, it's really hard to encode all

0:25:55.840 --> 0:25:58.639
<v Speaker 1>that because there's just too much going on at the

0:25:58.680 --> 0:26:03.879
<v Speaker 1>same time, too many salient events happening at once. That's

0:26:03.960 --> 0:26:09.480
<v Speaker 1>the Q overload effect. A third problem with encoding memory

0:26:10.000 --> 0:26:13.160
<v Speaker 1>has to do with what's called the other race effect.

0:26:13.440 --> 0:26:17.040
<v Speaker 1>We're much better at encoding faces of people who look

0:26:17.200 --> 0:26:20.760
<v Speaker 1>like us, but for people who look different, it's harder

0:26:20.800 --> 0:26:24.200
<v Speaker 1>to catch the important details. Now, just to be clear,

0:26:24.520 --> 0:26:28.320
<v Speaker 1>this isn't racism. It's not that you're discriminating against a group.

0:26:28.760 --> 0:26:31.600
<v Speaker 1>The issue here is that the neurons in your visual

0:26:31.680 --> 0:26:35.560
<v Speaker 1>cortex just aren't trained up on the details of those faces.

0:26:35.960 --> 0:26:39.040
<v Speaker 1>It's a matter of what type of faces your brain

0:26:39.160 --> 0:26:42.800
<v Speaker 1>knows well. In other words, depending on where you've grown up,

0:26:43.240 --> 0:26:46.840
<v Speaker 1>you might have a difficult time making an accurate identification

0:26:47.080 --> 0:26:51.640
<v Speaker 1>if you were shown a lineup of Cambodians or Icelanders,

0:26:52.160 --> 0:26:57.000
<v Speaker 1>or mauor or Wigers or Inuits. It's not that you

0:26:57.040 --> 0:27:00.639
<v Speaker 1>have anything against these cultures. It's that you've grown training

0:27:00.680 --> 0:27:04.640
<v Speaker 1>your visual system on the faces particular to your culture,

0:27:04.640 --> 0:27:07.760
<v Speaker 1>whatever that is, and now you're dealing with measurements that

0:27:07.800 --> 0:27:11.440
<v Speaker 1>are all a little bit different, like the intraocular distance

0:27:11.480 --> 0:27:13.640
<v Speaker 1>and the nose length and the frenulum and the chin

0:27:13.720 --> 0:27:16.600
<v Speaker 1>shape and so on. And if that's not where your

0:27:16.840 --> 0:27:20.240
<v Speaker 1>experience and expertise lies, you're going to be worse at it.

0:27:20.640 --> 0:27:25.240
<v Speaker 1>So the other race effect often leaves eyewitness identification hobbled.

0:27:25.680 --> 0:27:29.000
<v Speaker 1>And the fourth problem with encoding memories is that it

0:27:29.160 --> 0:27:33.160
<v Speaker 1>often just performs worse when there's stress and trauma. During

0:27:33.160 --> 0:27:37.200
<v Speaker 1>an event, something really awful and unexpected happens and it's

0:27:37.200 --> 0:27:40.520
<v Speaker 1>simply not even part of what your world model thinks

0:27:40.640 --> 0:27:43.480
<v Speaker 1>is a possibility, and so your brain has a difficult

0:27:43.560 --> 0:27:47.240
<v Speaker 1>time encoding what the heck just happened. So these are

0:27:47.240 --> 0:27:50.760
<v Speaker 1>all problems with encoding the memory in the first place,

0:27:51.119 --> 0:27:56.000
<v Speaker 1>weapon focus, Q overload, other race effect, stress and trauma

0:27:56.080 --> 0:28:14.280
<v Speaker 1>during the event. Now, encoding is only half the game,

0:28:14.320 --> 0:28:17.800
<v Speaker 1>because retrieval is the other half. So let's say you've

0:28:17.800 --> 0:28:20.760
<v Speaker 1>written down some sort of rough memory of the woman

0:28:20.800 --> 0:28:24.400
<v Speaker 1>who came into the classroom. She's somewhere between five three

0:28:24.440 --> 0:28:27.679
<v Speaker 1>and five nine. Okay, you encoded that sort of, but

0:28:28.000 --> 0:28:30.760
<v Speaker 1>now there are problems with the retrieval of the memory,

0:28:30.800 --> 0:28:34.280
<v Speaker 1>pulling up what was there in your brain. One problem

0:28:34.640 --> 0:28:38.720
<v Speaker 1>is what's called the misinformation effect. If you're told something

0:28:39.120 --> 0:28:42.040
<v Speaker 1>about a crime in terms of what happened at the scene,

0:28:42.400 --> 0:28:44.760
<v Speaker 1>or who was there or what they looked like, that

0:28:44.840 --> 0:28:47.840
<v Speaker 1>will become part of your memory and you may not

0:28:47.920 --> 0:28:51.680
<v Speaker 1>be able to distinguish that from what actually happened. So

0:28:52.160 --> 0:28:56.480
<v Speaker 1>Elizabeth Loftus and others have studied this by showing people

0:28:56.520 --> 0:28:59.800
<v Speaker 1>a picture of a car to stop sign, and then afterwards,

0:28:59.760 --> 0:29:02.240
<v Speaker 1>after after the picture is gone, they give a text

0:29:02.400 --> 0:29:05.440
<v Speaker 1>description of the same picture, but in the text they

0:29:05.440 --> 0:29:08.000
<v Speaker 1>say it was a yield sign. And then they have

0:29:08.080 --> 0:29:11.400
<v Speaker 1>people draw the picture as they remember it, and they

0:29:11.560 --> 0:29:15.320
<v Speaker 1>draw the original scene but with a yield sign. So

0:29:15.560 --> 0:29:19.680
<v Speaker 1>they're told something after the memory was encoded. They're told

0:29:19.680 --> 0:29:22.160
<v Speaker 1>that it was a yield sign, and when they're retrieving

0:29:22.200 --> 0:29:25.240
<v Speaker 1>the memory, they believe that the whole time they saw

0:29:25.280 --> 0:29:28.200
<v Speaker 1>the yield sign there instead of the stop sign. In

0:29:28.240 --> 0:29:32.040
<v Speaker 1>the case of my classroom invader, you may remember that

0:29:32.080 --> 0:29:35.600
<v Speaker 1>I told the students that I remembered the woman had

0:29:35.720 --> 0:29:39.120
<v Speaker 1>sunglasses on top of her head. Well, she didn't have

0:29:39.200 --> 0:29:41.800
<v Speaker 1>sunglasses on her head. I made up that fact and

0:29:41.840 --> 0:29:45.080
<v Speaker 1>I asserted it, and a number of students incorporated that

0:29:45.200 --> 0:29:48.520
<v Speaker 1>false item into their memory what they think they saw,

0:29:49.240 --> 0:29:52.240
<v Speaker 1>and afterwards they felt certain that that was a part

0:29:52.280 --> 0:29:56.040
<v Speaker 1>of their original memory. Now that might sound crazy, because

0:29:56.040 --> 0:29:59.120
<v Speaker 1>you think I could distinguish my own memory from something

0:29:59.200 --> 0:30:03.000
<v Speaker 1>someone else said, but it turns out you often can't.

0:30:03.840 --> 0:30:08.280
<v Speaker 1>So misinformation after the fact is one problem that happens

0:30:08.280 --> 0:30:14.000
<v Speaker 1>with retrieval. A second problem is what's known as unconscious transference.

0:30:14.600 --> 0:30:16.520
<v Speaker 1>Now to explain this, I'm going to tell you an

0:30:16.600 --> 0:30:23.080
<v Speaker 1>absolutely incredible true story. There's a British psychologist named Donald Thompson,

0:30:23.400 --> 0:30:26.560
<v Speaker 1>and one evening he went on British television to talk

0:30:26.600 --> 0:30:31.440
<v Speaker 1>about eyewitness testimony and memory. Unbeknownst to him, while he

0:30:31.520 --> 0:30:34.920
<v Speaker 1>was on live television, a woman in England had her

0:30:34.960 --> 0:30:38.680
<v Speaker 1>apartment broken into and she was raped. She went to

0:30:38.760 --> 0:30:43.440
<v Speaker 1>the police and described Donald Thompson and had his face drawn.

0:30:43.520 --> 0:30:47.240
<v Speaker 1>She insisted this was her rapist. He was arrested the

0:30:47.280 --> 0:30:50.360
<v Speaker 1>next day, but he said, I have a watertight alibi,

0:30:50.400 --> 0:30:53.400
<v Speaker 1>which is that I was in a live television studio

0:30:53.800 --> 0:30:56.280
<v Speaker 1>sitting with the police commissioner. And it took a little

0:30:56.320 --> 0:30:58.160
<v Speaker 1>bit of time for all this to get worked out

0:30:58.200 --> 0:31:02.520
<v Speaker 1>and unraveled. But of course his alley was verifiable. What

0:31:02.840 --> 0:31:07.200
<v Speaker 1>happened was he was on the television set she was

0:31:07.200 --> 0:31:10.880
<v Speaker 1>getting raped, and she transferred her memory of the rapist's

0:31:10.960 --> 0:31:15.200
<v Speaker 1>face to his face. She got confused about whose face

0:31:15.560 --> 0:31:18.640
<v Speaker 1>was who. It's such a crazy irony that he is

0:31:18.680 --> 0:31:21.440
<v Speaker 1>a memory expert, because it could have been anybody on

0:31:21.480 --> 0:31:25.600
<v Speaker 1>the television, but there it is incredible but true. So

0:31:26.360 --> 0:31:30.920
<v Speaker 1>unconscious transference is a problem where a victim can't distinguish

0:31:31.280 --> 0:31:34.680
<v Speaker 1>between the perpetrator of a crime and some other face

0:31:34.720 --> 0:31:37.400
<v Speaker 1>that they saw in the same context or a totally

0:31:37.400 --> 0:31:40.120
<v Speaker 1>different context. So those are some of the problems with

0:31:40.360 --> 0:31:44.080
<v Speaker 1>memory retrieval. And one of the places where these problems

0:31:44.080 --> 0:31:47.160
<v Speaker 1>come up all the time is in the police lineup.

0:31:50.440 --> 0:31:52.920
<v Speaker 1>So imagine that you are presented a lineup with several

0:31:52.920 --> 0:31:56.200
<v Speaker 1>people and you have to make a choice about which

0:31:56.280 --> 0:31:59.840
<v Speaker 1>person you saw doing the crime. Well, one of the

0:31:59.880 --> 0:32:03.000
<v Speaker 1>things that started getting recognized in the nineteen sixties and

0:32:03.040 --> 0:32:07.880
<v Speaker 1>went to the Supreme Court was the idea of police suggestibility.

0:32:08.440 --> 0:32:11.240
<v Speaker 1>It turns out that if the police already have their

0:32:11.280 --> 0:32:14.160
<v Speaker 1>man in mind, they already think it's Fred. Whether or

0:32:14.200 --> 0:32:16.440
<v Speaker 1>not that's correct, they believe it's Fred, and they want

0:32:16.440 --> 0:32:19.080
<v Speaker 1>you to say it's Fred. There are all kinds of

0:32:19.120 --> 0:32:23.080
<v Speaker 1>ways that they can suggest that to you, including just

0:32:23.120 --> 0:32:27.680
<v Speaker 1>things like positive feedback. So if you say I think

0:32:27.720 --> 0:32:30.680
<v Speaker 1>that was the guy, they'll say, yeah, good job, that's

0:32:30.680 --> 0:32:35.160
<v Speaker 1>what we think also, And it turns out that influences

0:32:35.320 --> 0:32:39.400
<v Speaker 1>the confidence of the eyewitness. When the trial starts months later,

0:32:39.560 --> 0:32:43.400
<v Speaker 1>you'll say I'm absolutely certain that it was Fred, even

0:32:43.440 --> 0:32:46.160
<v Speaker 1>though you might not remember that you weren't certain at all,

0:32:46.560 --> 0:32:49.760
<v Speaker 1>But because of the positive feedback, which can even be

0:32:50.080 --> 0:32:52.800
<v Speaker 1>quite subtle, like you know, just a nod or a

0:32:52.840 --> 0:32:57.320
<v Speaker 1>smile or whatever, your confidence goes way up. And thirty

0:32:57.400 --> 0:33:02.080
<v Speaker 1>years of psychology studies in the laboratory have verified the

0:33:02.120 --> 0:33:07.400
<v Speaker 1>power of this suggestibility. As a result, psychologists have made

0:33:07.480 --> 0:33:10.360
<v Speaker 1>suggestions to police forces and this has spun all the

0:33:10.400 --> 0:33:12.880
<v Speaker 1>way up to the Supreme Court, with the result that

0:33:13.000 --> 0:33:17.880
<v Speaker 1>police are not allowed to have any suggestibility involved. One

0:33:17.880 --> 0:33:20.040
<v Speaker 1>of the ways to take care of this is to

0:33:20.040 --> 0:33:24.000
<v Speaker 1>make the lineup identification double blind. That means the police

0:33:24.000 --> 0:33:26.840
<v Speaker 1>officer who is running the lineup doesn't even know who

0:33:26.880 --> 0:33:29.680
<v Speaker 1>the main suspect is. And this way the person doing

0:33:29.680 --> 0:33:32.880
<v Speaker 1>the identifying gets no feedback at all. And by the way,

0:33:32.920 --> 0:33:35.640
<v Speaker 1>the main thing that everyone's worried about with lineups is

0:33:35.920 --> 0:33:39.680
<v Speaker 1>false identification. If the perpetrator is in the lineup and

0:33:39.760 --> 0:33:42.400
<v Speaker 1>you miss him, that's another kind of problem. But the

0:33:42.480 --> 0:33:45.840
<v Speaker 1>really terrible problem is sending an innocent person to prison

0:33:46.320 --> 0:33:49.720
<v Speaker 1>with the false belief that you have identified him. I'll

0:33:49.760 --> 0:33:53.440
<v Speaker 1>give you another problem that psychologists and legal theorists have studied,

0:33:53.720 --> 0:33:57.600
<v Speaker 1>and that's the issue of co witness contamination. The idea

0:33:57.720 --> 0:34:00.320
<v Speaker 1>is that if you see a crime and I'm standing

0:34:00.360 --> 0:34:02.560
<v Speaker 1>there and I see it too, and then we start

0:34:02.600 --> 0:34:05.520
<v Speaker 1>talking about it with one another, we can't help but

0:34:05.800 --> 0:34:10.040
<v Speaker 1>influence each other's memories. This is a close relative of

0:34:10.080 --> 0:34:13.959
<v Speaker 1>the misinformation problem. If you remember that she had curly hair,

0:34:14.000 --> 0:34:16.160
<v Speaker 1>but I say I'm pretty sure she had straight hair.

0:34:16.480 --> 0:34:18.719
<v Speaker 1>Or if you think she was unathletic and I say, no,

0:34:18.840 --> 0:34:22.600
<v Speaker 1>she was quite athletic, both our memories become contaminated by

0:34:22.640 --> 0:34:25.200
<v Speaker 1>the other one statement, and we more and more come

0:34:25.239 --> 0:34:28.799
<v Speaker 1>to believe things that we didn't originally. So one thing

0:34:28.840 --> 0:34:32.080
<v Speaker 1>that police know to do straight away is to separate witnesses.

0:34:32.320 --> 0:34:34.680
<v Speaker 1>And there are many many aspects that have come from

0:34:34.719 --> 0:34:37.480
<v Speaker 1>research that are now built into the way that police

0:34:37.600 --> 0:34:40.880
<v Speaker 1>optimally do lineups. For example, they try to make sure

0:34:40.960 --> 0:34:44.960
<v Speaker 1>that you don't see photographs of a suspect before the lineup,

0:34:45.040 --> 0:34:48.600
<v Speaker 1>because if you do, you're really likely to identify that guy.

0:34:49.120 --> 0:34:52.279
<v Speaker 1>One place this comes up is contamination by photos in

0:34:52.400 --> 0:34:56.600
<v Speaker 1>news stories. So CNN says the suspect looks like this,

0:34:56.960 --> 0:34:59.560
<v Speaker 1>and then you're brought into a lineup, and whether or

0:34:59.640 --> 0:35:03.399
<v Speaker 1>not you remember having seen that story on CNN, that

0:35:03.640 --> 0:35:07.840
<v Speaker 1>influences your performance in the lineup. So many guidelines have

0:35:07.880 --> 0:35:10.000
<v Speaker 1>come out of this research. I'll give you just a

0:35:10.000 --> 0:35:12.960
<v Speaker 1>few examples. One guideline is to make sure that the

0:35:13.080 --> 0:35:16.560
<v Speaker 1>eyewitness is aware that the perpetrator might not be in

0:35:16.640 --> 0:35:19.800
<v Speaker 1>the lineup. Another is this double blind procedure that I

0:35:19.920 --> 0:35:22.719
<v Speaker 1>mentioned that doesn't allow police to see the lineup, so

0:35:22.760 --> 0:35:25.560
<v Speaker 1>they can't subject to the eyewitness to any of their

0:35:25.640 --> 0:35:29.200
<v Speaker 1>suspicions as to who the suspect is, and courts are

0:35:29.239 --> 0:35:34.000
<v Speaker 1>increasingly recognizing that this speed of recognition matters. Generally speaking,

0:35:34.080 --> 0:35:38.320
<v Speaker 1>if the witness quickly identifies the perpetrator, then the selection

0:35:38.560 --> 0:35:42.319
<v Speaker 1>is more likely to be correct. Finally, if the appearance

0:35:42.640 --> 0:35:47.160
<v Speaker 1>of a person stands out amongst the otherwise undistinctive crowd,

0:35:47.640 --> 0:35:50.680
<v Speaker 1>then an eyewitness is more likely to select that person,

0:35:51.120 --> 0:35:53.840
<v Speaker 1>regardless of their own recollection of the criminal. This is

0:35:53.880 --> 0:35:57.440
<v Speaker 1>known as the distractor or dud effect. So there are

0:35:57.480 --> 0:36:01.480
<v Speaker 1>many places where scientific study has made d contributions to

0:36:01.560 --> 0:36:06.520
<v Speaker 1>the optimal way to run. I witnessed identification procedures. Now

0:36:06.680 --> 0:36:08.960
<v Speaker 1>what if somebody comes in and they say, I saw

0:36:09.000 --> 0:36:11.759
<v Speaker 1>the guy, and I know with one hundred percent certainty

0:36:12.080 --> 0:36:14.799
<v Speaker 1>that was the guy, Versus someone else who comes in

0:36:14.840 --> 0:36:17.560
<v Speaker 1>and says, I don't know, I was looking out a window.

0:36:17.880 --> 0:36:20.360
<v Speaker 1>It was a car robbery going on two stories below me.

0:36:20.400 --> 0:36:22.160
<v Speaker 1>It was kind of dark. I couldn't really see him

0:36:22.239 --> 0:36:24.799
<v Speaker 1>very well. I think that was the guy. I don't

0:36:24.840 --> 0:36:28.040
<v Speaker 1>really know. Do you think those two scenarios should be

0:36:28.120 --> 0:36:31.360
<v Speaker 1>treated differently? In other words, what is the relationship between

0:36:31.480 --> 0:36:36.359
<v Speaker 1>confidence and accuracy? Well? The United States Supreme Court had

0:36:36.400 --> 0:36:39.160
<v Speaker 1>to answer this question in nineteen seventy two in a

0:36:39.200 --> 0:36:43.240
<v Speaker 1>case called Neil versus Biggers. What happened was that the victim,

0:36:43.320 --> 0:36:47.239
<v Speaker 1>Margaret Beemer, was dragged into the woods and assaulted. She

0:36:47.440 --> 0:36:51.560
<v Speaker 1>described her attacker to the police only in very general terms.

0:36:52.120 --> 0:36:54.400
<v Speaker 1>Then she was shown a bunch of photographs and people

0:36:54.400 --> 0:36:57.719
<v Speaker 1>who met the description, but she couldn't identify anyone from

0:36:57.760 --> 0:37:01.680
<v Speaker 1>the photos or stand ups for seven months. So the

0:37:01.719 --> 0:37:04.520
<v Speaker 1>police then get a guy on another charge, a got

0:37:04.600 --> 0:37:07.400
<v Speaker 1>named Archie Biggers, and they decide to include him in

0:37:07.480 --> 0:37:10.359
<v Speaker 1>a stand up, But they couldn't find anyone who made

0:37:10.360 --> 0:37:13.120
<v Speaker 1>a good match to this guy's looks, so they did

0:37:13.160 --> 0:37:15.919
<v Speaker 1>what's called a show up instead, where there's no one

0:37:15.920 --> 0:37:20.239
<v Speaker 1>else there but the one suspect. So two detectives walk

0:37:20.360 --> 0:37:25.040
<v Speaker 1>Biggers passed the victim, and at her request, the police

0:37:25.080 --> 0:37:28.640
<v Speaker 1>directed him to say shut up or I will kill you.

0:37:29.280 --> 0:37:31.920
<v Speaker 1>The testimony a trial wasn't clear as to whether she

0:37:32.000 --> 0:37:34.280
<v Speaker 1>had first identified him and then asked that he repeat

0:37:34.360 --> 0:37:38.239
<v Speaker 1>those words, or made her identification after he'd spoken. In

0:37:38.320 --> 0:37:42.280
<v Speaker 1>any event, the victim testified that she had no doubt

0:37:42.320 --> 0:37:46.840
<v Speaker 1>about her identification, and so Biggers was convicted, and he

0:37:46.880 --> 0:37:49.360
<v Speaker 1>came back on appeal and argued it simply wasn't fair,

0:37:49.400 --> 0:37:53.160
<v Speaker 1>this was unreliable. The lower courts agreed with him and said,

0:37:53.600 --> 0:37:57.520
<v Speaker 1>no way, We're not accepting this as evidence because this

0:37:57.719 --> 0:38:03.000
<v Speaker 1>identification process was extremely suggestive. But the US Supreme Court

0:38:03.040 --> 0:38:07.239
<v Speaker 1>eventually heard this case and reversed that decision. They concluded

0:38:07.520 --> 0:38:12.480
<v Speaker 1>it was okay why because she said that she was certain.

0:38:13.040 --> 0:38:16.320
<v Speaker 1>In other words, they concluded that how confident a person

0:38:16.520 --> 0:38:20.560
<v Speaker 1>is relates to how good their evidence is. They felt

0:38:20.560 --> 0:38:24.359
<v Speaker 1>that high confidence allows you to judge the veracity of

0:38:24.440 --> 0:38:27.399
<v Speaker 1>a witness. So, in other words, the Supreme Court said

0:38:27.480 --> 0:38:31.520
<v Speaker 1>implicitly that they think there is a relationship between confidence

0:38:31.880 --> 0:38:37.919
<v Speaker 1>and accuracy. But generally, cognitive psychologists find that this relationship

0:38:38.040 --> 0:38:41.440
<v Speaker 1>is very weak. Because of all the things we've talked

0:38:41.440 --> 0:38:45.359
<v Speaker 1>about in this episode. Confidence does not work as a

0:38:45.480 --> 0:38:51.080
<v Speaker 1>yardstick of accuracy, especially as time goes on and I'm

0:38:51.120 --> 0:38:53.800
<v Speaker 1>going to do an episode soon about how the legal

0:38:53.840 --> 0:38:58.279
<v Speaker 1>system decides which technologies to allow into their courtrooms, But

0:38:58.320 --> 0:39:00.040
<v Speaker 1>for now, I'm just going to point out that it

0:39:00.080 --> 0:39:04.200
<v Speaker 1>requires passing high scientific standards. So how do you think

0:39:04.320 --> 0:39:09.359
<v Speaker 1>eyewitness testimony compares well? A version of this question hit

0:39:09.400 --> 0:39:13.560
<v Speaker 1>the US Supreme Court in twenty eleven Perry versus New Hampshire.

0:39:13.840 --> 0:39:16.719
<v Speaker 1>I spoke with Sanjay Gupta on CNN about this case

0:39:16.760 --> 0:39:19.920
<v Speaker 1>when it was getting decided. The question the court was

0:39:20.000 --> 0:39:24.760
<v Speaker 1>asking was essentially, if there's lousy eyewitness testimony in a case,

0:39:25.239 --> 0:39:28.879
<v Speaker 1>should it be allowed? When does that violate the right

0:39:29.000 --> 0:39:33.000
<v Speaker 1>to do process? You'll write to a fair trial. So

0:39:33.120 --> 0:39:35.359
<v Speaker 1>Perry was a young man in New Hampshire who got

0:39:35.400 --> 0:39:38.799
<v Speaker 1>convicted of stealing a car, and he was convicted based

0:39:38.840 --> 0:39:41.759
<v Speaker 1>in large part on a woman who was looking out

0:39:41.800 --> 0:39:45.759
<v Speaker 1>a second story window in the dark. She couldn't see

0:39:45.800 --> 0:39:48.560
<v Speaker 1>well from that distance. So Perry got convicted in a

0:39:48.600 --> 0:39:51.440
<v Speaker 1>New Hampshire court, and they came back and tried to appeal,

0:39:51.480 --> 0:39:54.240
<v Speaker 1>and he said, how can you possibly take this woman's

0:39:54.640 --> 0:39:57.440
<v Speaker 1>word for it? How could you send me to jail

0:39:57.520 --> 0:40:03.160
<v Speaker 1>based on such unreliable witness testimony? The lower courts upheld

0:40:03.239 --> 0:40:06.200
<v Speaker 1>the decision, and so this question spun up to the

0:40:06.320 --> 0:40:08.800
<v Speaker 1>US Supreme Court. The question that was on the table

0:40:08.960 --> 0:40:15.120
<v Speaker 1>is does unreliable eyewitness testimony violate your constitutional rights? And

0:40:15.200 --> 0:40:18.080
<v Speaker 1>what the court said is, look, the only thing we

0:40:18.160 --> 0:40:21.520
<v Speaker 1>care about is whether there was suggestibility by the police.

0:40:21.640 --> 0:40:25.640
<v Speaker 1>If the police manipulated the process, then the due process

0:40:25.719 --> 0:40:29.440
<v Speaker 1>clause of the Constitution is applicable. But they said, this

0:40:29.520 --> 0:40:35.720
<v Speaker 1>does not hold generally for eyewinness testimony. Using unreliable evidence

0:40:35.760 --> 0:40:39.799
<v Speaker 1>against you is not unconstitutional. There's no right that you'll

0:40:39.840 --> 0:40:42.920
<v Speaker 1>have great evidence. Instead, it's the job of the jury

0:40:43.280 --> 0:40:46.600
<v Speaker 1>to figure it out, to weigh the evidence. So that's

0:40:46.600 --> 0:40:50.440
<v Speaker 1>what the court decided. And reading between the lines, what

0:40:50.480 --> 0:40:52.800
<v Speaker 1>do you think one of the concerns of the court

0:40:53.000 --> 0:40:57.200
<v Speaker 1>was here, It's this, if you introduce a question about

0:40:57.239 --> 0:41:01.480
<v Speaker 1>the reliability of the witness, then you would, in theory,

0:41:01.640 --> 0:41:06.360
<v Speaker 1>require a pre trial hearing to determine if her testimony

0:41:06.480 --> 0:41:09.000
<v Speaker 1>is acceptable or not. And what does that do to

0:41:09.160 --> 0:41:12.920
<v Speaker 1>every single case running in the nation. One of these

0:41:12.920 --> 0:41:15.959
<v Speaker 1>Supreme Court justices posed this during the case. He said,

0:41:16.280 --> 0:41:19.320
<v Speaker 1>what about jailhouse testimony where someone in the jail says,

0:41:19.960 --> 0:41:23.680
<v Speaker 1>my cellmate told me x Y and Z. Sometimes it's unreliable,

0:41:23.760 --> 0:41:27.840
<v Speaker 1>sometimes it yields fruit. Do we require a pre trial

0:41:27.880 --> 0:41:32.600
<v Speaker 1>hearing every time because it might not be reliable? So

0:41:32.880 --> 0:41:36.560
<v Speaker 1>this is an issue that would overturn the way the

0:41:36.600 --> 0:41:39.799
<v Speaker 1>whole court system works. And so, at least for the

0:41:39.880 --> 0:41:45.840
<v Speaker 1>time being, the legal system knows that eyewitness testimony is terrible.

0:41:45.880 --> 0:41:49.879
<v Speaker 1>It can be very unreliable, and yet with all the caveats,

0:41:50.360 --> 0:41:53.680
<v Speaker 1>there's no choice but to let it remain. So in

0:41:53.840 --> 0:41:57.759
<v Speaker 1>closing your memory is not necessarily what you think it is.

0:41:58.239 --> 0:42:01.799
<v Speaker 1>Memory is not writing down what happened in zeros and

0:42:01.880 --> 0:42:05.880
<v Speaker 1>ones and then reading that back out. There are many

0:42:05.920 --> 0:42:09.560
<v Speaker 1>things that get in the way of good encoding and retrieval.

0:42:09.880 --> 0:42:14.360
<v Speaker 1>I really recommend Jennifer Thompson and Ronald Cotton's book. For Jennifer,

0:42:14.480 --> 0:42:17.560
<v Speaker 1>this was a complete pouring out of her guts on

0:42:17.600 --> 0:42:21.280
<v Speaker 1>the table a cathartic enterprise where she had to allow

0:42:21.360 --> 0:42:24.000
<v Speaker 1>that she put a man in jail for eleven years

0:42:24.520 --> 0:42:27.080
<v Speaker 1>based on her certainty that that was the face she

0:42:27.120 --> 0:42:30.600
<v Speaker 1>had looked into. She knew it was Ronald Cotton, and

0:42:30.680 --> 0:42:33.240
<v Speaker 1>she wanted him to die. That's how she felt about

0:42:33.239 --> 0:42:36.280
<v Speaker 1>this man. And then she found out that she was wrong.

0:42:36.880 --> 0:42:39.120
<v Speaker 1>So the book is about what it's like from the

0:42:39.160 --> 0:42:42.360
<v Speaker 1>inside to believe, you know, and all the steps that

0:42:42.480 --> 0:42:45.600
<v Speaker 1>happened along the way that manipulated her memory. So to

0:42:45.640 --> 0:42:48.960
<v Speaker 1>summarize what we talked about today, eyewitness testimony has a

0:42:49.080 --> 0:42:53.200
<v Speaker 1>terrific sway on jurors, and yet it is variable in

0:42:53.239 --> 0:42:56.719
<v Speaker 1>its accuracy. Now, just for clarity, it's not that eyewitness

0:42:56.800 --> 0:43:00.360
<v Speaker 1>testimony always has to be wrong. Plenty of times someone

0:43:00.480 --> 0:43:04.600
<v Speaker 1>IDs someone and it's correct. But memory is not like

0:43:04.600 --> 0:43:08.600
<v Speaker 1>a video camera. It is a reconstruction, and many factors

0:43:08.920 --> 0:43:13.080
<v Speaker 1>worse than the encoding and manipulate the retrieval. As a result,

0:43:13.239 --> 0:43:17.960
<v Speaker 1>we cannot say that confidence and accuracy are tightly linked,

0:43:18.120 --> 0:43:21.760
<v Speaker 1>especially as time goes on. Eyewitness testimony is not going

0:43:21.760 --> 0:43:25.280
<v Speaker 1>away from the courtroom because often it's the only evidence

0:43:25.320 --> 0:43:27.840
<v Speaker 1>that we can bring to bear in a case. So,

0:43:28.080 --> 0:43:31.080
<v Speaker 1>even though it may be the worst technology that we

0:43:31.200 --> 0:43:35.520
<v Speaker 1>allow in the courtrooms, it is presumably here to stay.

0:43:35.600 --> 0:43:39.360
<v Speaker 1>But remember, like much about our perception of the world

0:43:39.680 --> 0:43:43.560
<v Speaker 1>that I'll be discussing throughout these episodes, just because you

0:43:43.640 --> 0:43:48.000
<v Speaker 1>believe something to be true doesn't necessitate that it is.

0:43:52.680 --> 0:43:55.960
<v Speaker 1>Go to Eagleman dot Com, Slash podcast for more information

0:43:56.280 --> 0:43:59.000
<v Speaker 1>and to find further readings and to see some photographs.

0:43:59.520 --> 0:44:02.880
<v Speaker 1>Send me in email at podcasts at eagleman dot com

0:44:02.880 --> 0:44:06.160
<v Speaker 1>with questions or discussion, and I'll be making an episode

0:44:06.200 --> 0:44:11.160
<v Speaker 1>soon in which I address those. Until next time, I'm

0:44:11.239 --> 0:44:14.040
<v Speaker 1>Dave Eagleman, and this is Inner Cosmos