WEBVTT - The Secrets Hidden in Our Google Location Data

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<v Speaker 1>The fact that your location is probably being recorded very

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<v Speaker 1>regularly at a regular interval. That's kind of a scary thing.

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<v Speaker 1>That's THEO pat. He's a nineteen year old freshman at

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<v Speaker 1>Stanford University. I tracked him down at the Stanford Student

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<v Speaker 1>Union on a Sunday Friday afternoon in October, a few

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<v Speaker 1>weeks after he started as a computer science underground. Hey

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<v Speaker 1>is that there? How are you all right? Here? We are?

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<v Speaker 1>He's a skinny, friendly kid with a nervous smile, bright eyes,

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<v Speaker 1>and pale skin. And when he was fifteen he created

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<v Speaker 1>a software program that I recently got interested in. The

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<v Speaker 1>type of program THEO created, It's called a visualizer. It

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<v Speaker 1>lets you upload your location data from Google. Then the

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<v Speaker 1>program lays that information over a map, so you can

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<v Speaker 1>see everywhere you've been in minute detail. THEO said. The

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<v Speaker 1>idea first came to him in a geography class where

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<v Speaker 1>we were talking a lot about kind of people and

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<v Speaker 1>migration patterns and where they go. And I guess that

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<v Speaker 1>coupled with somehow stumbling upon an article about Google take

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<v Speaker 1>out and how Google is recording his data about you

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<v Speaker 1>kind of put teer and two together and wanted to

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<v Speaker 1>look at myself then my kind of microcosm of migration patterns.

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<v Speaker 1>Google is constantly collecting incredibly detailed information on our movements,

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<v Speaker 1>and Google take Out, which THEO just mentioned, is an

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<v Speaker 1>easy way to download your information from Google. THEO already

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<v Speaker 1>knew how to code. He thought it would be cool

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<v Speaker 1>to see his own movements displayed on a map. Initially,

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<v Speaker 1>THEO put a basic program online and hundreds of thousands

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<v Speaker 1>of people tried it out. He soon made a pro version,

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<v Speaker 1>which has been used often in ways THEO never intended.

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<v Speaker 1>Jealous lovers, snooping on their partner's whereabouts, employers tracking their staff,

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<v Speaker 1>even police and government agencies have taken an interest. M Hi,

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<v Speaker 1>I'm pr God Cary and I'm Alista bar And this

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<v Speaker 1>week on Decrypted, we're exploring the unintended consequences of the

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<v Speaker 1>systems that monitor our own location data. As a society,

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<v Speaker 1>we've consented to creating a detailed record of our every

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<v Speaker 1>step and entrusted it to Google, a private company. Fear

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<v Speaker 1>thought his maps would help people create digital keepsakes of

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<v Speaker 1>fond memories and records for traveling business people. But our

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<v Speaker 1>location data is more powerful than many of us realize,

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<v Speaker 1>and it can be used in surprising ways. We'll hear

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<v Speaker 1>from one father who tried to use Theo's map tool

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<v Speaker 1>to prove his daughter's innocence after she was charged with

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<v Speaker 1>a string of burglaries, but it didn't turn out. Well.

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<v Speaker 1>Stay with us, so, Ali, let's get back to the

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<v Speaker 1>day when you and THEO met at Stanford. Well, we

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<v Speaker 1>found a conference room where we sat down to chat

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<v Speaker 1>to school table. That's right, of course, fully checked out.

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<v Speaker 1>So I think this is this building is like head headquarters.

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<v Speaker 1>And THEO told me how it all began. He grew

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<v Speaker 1>up in Memphis, Tennessee, and even though he dislikes the term,

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<v Speaker 1>he's a digital native, born in the Internet era and

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<v Speaker 1>embedded in tech most of his waking hours. Like a

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<v Speaker 1>lot of kids, THEO got into software coding by building websites.

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<v Speaker 1>I made my dad website, I mean myself a website.

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<v Speaker 1>I made my friends a website. I was making a

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<v Speaker 1>lot of websites back in elementary school. Then he worked

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<v Speaker 1>on Wikipedia, helping create software that spots people making stuff

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<v Speaker 1>up and correcting it. His talents were spotted by the

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<v Speaker 1>local Memphis TV station c W thirty News. I'm going back.

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<v Speaker 1>We count on apps are just about everything, banking, communicating,

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<v Speaker 1>waking us up in the morning, and we learned it

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<v Speaker 1>takes a lot of cold Yeah, that's going fer a

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<v Speaker 1>language for you know, get those programs to function the

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<v Speaker 1>way that they should. And White Station highs THEO pat

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<v Speaker 1>Our local cool kid knows all about it because he's

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<v Speaker 1>creating several apps, even helping lawyers build their cases. Here. CW.

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<v Speaker 1>Thirtis acre. Then THEO had his mapping idea in that

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<v Speaker 1>geography class. He'd heard of Google Takeout. That's the service

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<v Speaker 1>we mentioned earlier, which lets people download their information. It

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<v Speaker 1>was developed by the Data Liberation Front. That's the playful

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<v Speaker 1>name of a group of engineers whose job is to

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<v Speaker 1>give users access to their Google data and let them

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<v Speaker 1>use it anyway they want. We are the Data Liberation Front.

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<v Speaker 1>We've been working hard for the past four years to

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<v Speaker 1>make it easy for you to take your data out

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<v Speaker 1>of Google's products. This is a video the Data Liberation

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<v Speaker 1>Team released in twenty eleven when Google Takeout became available.

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<v Speaker 1>The team is dressed in a guerrilla style uniform and

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<v Speaker 1>one guy at the front is holding a cardboard takeout

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<v Speaker 1>box like the kind you get from Chinese restaurants. And

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<v Speaker 1>he's pulling things out like a floppy disk, a cassette,

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<v Speaker 1>a school of film. It's a great idea, but in

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<v Speaker 1>practice the data you can download isn't much used to

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<v Speaker 1>regular people. The location history is a file with a

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<v Speaker 1>bunch of numbers and letters representing things like latitude and longitude.

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<v Speaker 1>So THEO built another website. This one lets people take

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<v Speaker 1>those incomprehensible files from Google and upload them. Video software

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<v Speaker 1>passes the numbers and letters and up pops a heat

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<v Speaker 1>map showing where you hang out regularly. When I met

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<v Speaker 1>THEO at Stamford, he fired up the pro version of

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<v Speaker 1>his tool to show me the awesome power of this

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<v Speaker 1>data in a very personal way. All right, so I'll do.

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<v Speaker 1>Let's pull up your I, punch in my password, and

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<v Speaker 1>THEO guides me to the download section of my Google

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<v Speaker 1>account online. So we've got a turn of options here,

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<v Speaker 1>but all we want Google play Store. There were fifty

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<v Speaker 1>three different data sets in there. About two thirds of

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<v Speaker 1>the way down was my location in history. We click that,

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<v Speaker 1>picked the file format, and pressed download. After a while

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<v Speaker 1>we had the file, so we've just got lag launch

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<v Speaker 1>times now. They also kind of predict the activities that

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<v Speaker 1>you're doing at certain time intervals. But so that just

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<v Speaker 1>kind of goes on and there's just a lad of

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<v Speaker 1>data here. The real magic happened when THEO uploaded that

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<v Speaker 1>file into his software visualizer. The free version is on

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<v Speaker 1>a website called Location History Visualizer dot com slash heat map.

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<v Speaker 1>It's also one of the first results if you do

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<v Speaker 1>a Google search for something like Location History Visualizer. THEO

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<v Speaker 1>uploaded my data and a digital map appeared covered in

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<v Speaker 1>blue dots on Thursday. So there's a snake that goes

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<v Speaker 1>up from sand Cars where I live, just south of SATRSISC,

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<v Speaker 1>and it's snakes north. I know exactly what I'm seeing

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<v Speaker 1>that I was walking to my dinner appointment. Ali. Where

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<v Speaker 1>any secrets revealed when you saw your data in front

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<v Speaker 1>of you, Well, the data included one day a week

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<v Speaker 1>when I work from home and sank I lost. I

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<v Speaker 1>know what that was, Okay, so it has me a

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<v Speaker 1>little further south. That is me um picking up my laundry. Okay, sorry, boss,

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<v Speaker 1>I picked up my laundry for a few minutes. And

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<v Speaker 1>I also actually you know what that is. Also, I

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<v Speaker 1>met a source for lunch. That's good for a story

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<v Speaker 1>coming out of this Wednesday after work, I mean the

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<v Speaker 1>next town over all, and then we've gone up We've

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<v Speaker 1>gone up here into Redwood City. That's amazing. Just for

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<v Speaker 1>one day, there were hundreds of data points, and this

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<v Speaker 1>is just a tiny slice of the information available to you.

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<v Speaker 1>It was just one of fifty three items in that

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<v Speaker 1>Google take out list. Looking at the dots conjured emotions.

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<v Speaker 1>Immediately joy remembering my friends at movie night. Slight guilt,

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<v Speaker 1>we're calling that I nipped out to get the laundry

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<v Speaker 1>when I should have been at my desk working at home.

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<v Speaker 1>THEO had a similar strong reaction when he saw years

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<v Speaker 1>of his own activity plotted in excruciating detail in front

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<v Speaker 1>of him for the first time. I mean, it was

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<v Speaker 1>just magical, right. I knew it was going on because

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<v Speaker 1>I had read that Google tracks your location data, and

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<v Speaker 1>I had the file, and I looked inside the file

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<v Speaker 1>and saw a list of latitude and longitude points. But

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<v Speaker 1>I think seeing that on a map in a very

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<v Speaker 1>concrete way, like oh, this is my physical existence navigating

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<v Speaker 1>through the world for a long period of time, that

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<v Speaker 1>was the kind of light bult like, wow, this is

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<v Speaker 1>this is a big chunk of who I am. When

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<v Speaker 1>he launched the visualizer online. He expected pretty innocent use cases.

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<v Speaker 1>I mean he was just a teenager, right right, But

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<v Speaker 1>once people started using the visualizer for their own purposes,

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<v Speaker 1>theo realized they had all sorts of use cases in

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<v Speaker 1>mind that he had never thought about. Fast wortword. About

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<v Speaker 1>a year, guy got in touch with me and was

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<v Speaker 1>looking to perform a more detailed sort of visualization. Right,

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<v Speaker 1>so you've got the heat map, can't I see the

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<v Speaker 1>individual points that were contributing to this heat map? And uh?

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<v Speaker 1>And I said, sure. That guy was Bill Carrica, the

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<v Speaker 1>father who wanted to used Google location data to save

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<v Speaker 1>his daughter Katie from prison. Fee you help Bill, and

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<v Speaker 1>made the more detailed map he was asking for. It

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<v Speaker 1>became the pro version of his program, and it offers

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<v Speaker 1>a very precise kind of visualization, often minute by minute.

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<v Speaker 1>And the initial reason behind it was for use in

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<v Speaker 1>kind of a legal case and demonstrating that someone was

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<v Speaker 1>not at a particular location. But it's since spiraled into

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<v Speaker 1>answer to different uses that I could have thought of. Initially,

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<v Speaker 1>that was the impetus for all of this. Bill Carrico

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<v Speaker 1>believed that his daughter's Google data would convincingly show that

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<v Speaker 1>she was nowhere near the places where the crimes she

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<v Speaker 1>was accused of were committed. What the data revealed and

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<v Speaker 1>what happened to Katie, that's coming up. So theo's visualizer software,

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<v Speaker 1>something he'd created as a fifteen year old in response

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<v Speaker 1>to his own curiosity, was out there in the world.

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<v Speaker 1>But once he launched the pro tool, THEO started seeing

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<v Speaker 1>all the more sinister ways this data can be used.

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<v Speaker 1>The ones that I definitely have the most correspondence with

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<v Speaker 1>our spouses who are very suspicious of their partners for

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<v Speaker 1>for whatever reason, and want to have a closer look

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<v Speaker 1>at where they were. So these people are somehow breaking

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<v Speaker 1>into their partner's Google accounts to get hold of this data,

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<v Speaker 1>that's right. And the strangest thing is that they really

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<v Speaker 1>want to talk to THEO, not just about how the

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<v Speaker 1>software works, but about their own predicaments. I mean what

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<v Speaker 1>type of things they say, like just really genuine kind

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<v Speaker 1>of please for help. Right, So, do you feel like

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<v Speaker 1>they're so they chat with you because they need help

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<v Speaker 1>with some technical aspect of it. But then but then

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<v Speaker 1>do you feel like they're they like they want to

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<v Speaker 1>tell you about the situation? Almost? Yeah, yeah, absolutely, I

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<v Speaker 1>think I think they desperately want to tell someone, right,

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<v Speaker 1>and UH, and this little chat box on the system

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<v Speaker 1>that's this magic box, right, that's providing this. I mean,

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<v Speaker 1>it's like a god right to them because they don't

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<v Speaker 1>they don't know that their phone has been recording this.

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<v Speaker 1>And then maybe they've they've looked up like how can

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<v Speaker 1>I tell where someone was? Like they made a Google

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<v Speaker 1>search and somehow, step by step has led them to this.

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<v Speaker 1>Then there are the use cases that THEO really can't

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<v Speaker 1>talk about. Police and government agencies investigating people by subpoena

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<v Speaker 1>in their Google data and digging through it. The kind

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<v Speaker 1>of application by different sorts of government entities to UH

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<v Speaker 1>to very particularly track individuals whom they had interested in

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<v Speaker 1>for different reasons is UH is definitely a major major

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<v Speaker 1>use of the tool of this location. Didn't think. I

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<v Speaker 1>guess if I had sat down and thought about it,

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<v Speaker 1>I would have. But that wasn't That wasn't really the

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<v Speaker 1>mindset that I went into it with. Right, It was

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<v Speaker 1>very UH, egalitarian happiness, everyone's all good. But how old

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<v Speaker 1>you a time I was? I was fifteen, Yeah, that

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<v Speaker 1>was like a good world you for fifteen year old.

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<v Speaker 1>I think I didn't need to have all that baggage.

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<v Speaker 1>When I posted in for more details on these investigations,

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<v Speaker 1>THEA shared a few general details enough to give a

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<v Speaker 1>sense of the awesome power of this information. If they

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<v Speaker 1>have that enterprise version, then they might they might never

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<v Speaker 1>cool you, or they might if they need help. Was right. Yeah.

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<v Speaker 1>So one of the things that the enterprise version does

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<v Speaker 1>is has various integrations with different sorts of data that

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<v Speaker 1>you might want to overlay on your on the location

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<v Speaker 1>street file you have. So let's say you have acquired

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<v Speaker 1>UH cell tower records for an individual, and that can

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<v Speaker 1>be UH in all sorts of different forms. One of

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<v Speaker 1>the most common is like a PDF from a T

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<v Speaker 1>and T or whoever, that is monotype information. So we've

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<v Speaker 1>created kind of parsers for that sort of information where

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<v Speaker 1>you can then ingest the location nestory file and the

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<v Speaker 1>cell tower data and then cross reference that. So you've

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<v Speaker 1>gotten now two points that indicate two pieces of information

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<v Speaker 1>that indicate it's likely that someone was at a particular

0:13:05.400 --> 0:13:12.959
<v Speaker 1>place for corroborating right or call and text records right,

0:13:13.160 --> 0:13:17.000
<v Speaker 1>So plotting the locations that they were at when they

0:13:17.120 --> 0:13:22.480
<v Speaker 1>sent particular messages or received particular phone calls. This was

0:13:22.559 --> 0:13:25.360
<v Speaker 1>the type of capability. Bill Carrico was looking to tap

0:13:26.960 --> 0:13:30.800
<v Speaker 1>his daughter, a consignment store owner called Katie Carrico. Hyatt

0:13:31.120 --> 0:13:34.040
<v Speaker 1>was arrested in two thousand and fourteen on multiple charges

0:13:34.240 --> 0:13:38.760
<v Speaker 1>related to burglary and receiving stolen goods in Virginia. S

0:13:38.800 --> 0:13:42.000
<v Speaker 1>Deputy Commwell's attorney, Chuck Family so As police were covered

0:13:42.040 --> 0:13:45.319
<v Speaker 1>four hundred and fifteen items from high It's home, vehicle,

0:13:45.440 --> 0:13:48.800
<v Speaker 1>and shop. He says, Hi, it's motive being broke. He says,

0:13:48.840 --> 0:13:51.920
<v Speaker 1>text message records show marital strain between high and her

0:13:52.000 --> 0:13:56.040
<v Speaker 1>husband due to financial problems. Bill gathered Katie's Google location

0:13:56.160 --> 0:13:59.000
<v Speaker 1>history with the goal of helping her get acquitted. When

0:13:59.080 --> 0:14:04.000
<v Speaker 1>they location history was discovered by Katie, she had just

0:14:04.120 --> 0:14:06.640
<v Speaker 1>been arrested. She was announced arrest and she was trying

0:14:06.720 --> 0:14:09.400
<v Speaker 1>to figure out where these houses were that they accused

0:14:09.440 --> 0:14:14.000
<v Speaker 1>her of burgerizing, and she's never even heard of some

0:14:14.120 --> 0:14:16.319
<v Speaker 1>of the streets. Another thing, and so she realized that

0:14:16.400 --> 0:14:20.400
<v Speaker 1>Google had location histories are and so I went looking

0:14:20.480 --> 0:14:24.760
<v Speaker 1>for somebody and wanted to take that location data and

0:14:24.840 --> 0:14:27.520
<v Speaker 1>put it in a very specific format. And that's when

0:14:27.560 --> 0:14:31.920
<v Speaker 1>I found a young man who had a a tool,

0:14:32.040 --> 0:14:35.560
<v Speaker 1>and I found another guy in Bulgaria, and I talked

0:14:35.600 --> 0:14:38.480
<v Speaker 1>to both of them and I went with the fella

0:14:39.400 --> 0:14:42.840
<v Speaker 1>with the theyll asked THEO to plot it in detail,

0:14:43.160 --> 0:14:45.680
<v Speaker 1>hoping to prove she wasn't at some of the locations

0:14:45.720 --> 0:14:49.160
<v Speaker 1>where the police said she was. But there was a problem.

0:14:49.480 --> 0:14:52.760
<v Speaker 1>According to Katie's lawyer, j Lloyd Snook, he didn't want

0:14:52.800 --> 0:14:55.200
<v Speaker 1>to be recorded, but he said in a phone interview

0:14:55.600 --> 0:14:59.000
<v Speaker 1>that the Google location data in some cases showed exactly

0:14:59.080 --> 0:15:03.200
<v Speaker 1>what the prosecution claimed, so Snook decided against submitting it

0:15:03.280 --> 0:15:08.680
<v Speaker 1>as evidence. Thea wouldn't talk about the details of the case,

0:15:08.800 --> 0:15:11.760
<v Speaker 1>but he did say this, it goes both ways, right,

0:15:11.920 --> 0:15:15.880
<v Speaker 1>your location. Sometimes it's beneficial to a story you're trying

0:15:15.920 --> 0:15:18.240
<v Speaker 1>to create, and sometimes it's not beneficial to a story

0:15:18.240 --> 0:15:21.000
<v Speaker 1>you're trying to create. And I think once you open

0:15:21.120 --> 0:15:24.480
<v Speaker 1>that can of words worms, right, once it's submitted for

0:15:24.600 --> 0:15:26.840
<v Speaker 1>discovery and everything like that, it's it is now part

0:15:26.920 --> 0:15:30.040
<v Speaker 1>of you. It's part of your record that you're presenting,

0:15:30.080 --> 0:15:32.240
<v Speaker 1>and you can't just turn it off. You can't just

0:15:32.320 --> 0:15:34.920
<v Speaker 1>say no, never, never mind, let's let's not look at

0:15:34.960 --> 0:15:39.120
<v Speaker 1>this anymore. Katie ended up pleading guilty to grand larceny

0:15:39.280 --> 0:15:42.280
<v Speaker 1>and breaking and entering, and is currently imprisoned, serving a

0:15:42.400 --> 0:15:46.680
<v Speaker 1>sentence of about twenty years. Her father says she's innocent

0:15:47.080 --> 0:15:50.280
<v Speaker 1>and that the prosecution made mistakes. He's also upset with

0:15:50.360 --> 0:15:53.240
<v Speaker 1>her lawyer for not doing enough to help her. Bill

0:15:53.280 --> 0:15:55.520
<v Speaker 1>has been studying all the case files and he's even

0:15:55.600 --> 0:15:58.160
<v Speaker 1>written to the Governor of Virginia to request to pardon,

0:15:58.960 --> 0:16:02.040
<v Speaker 1>and he's still hoping. He used Katie's Google location history

0:16:02.160 --> 0:16:05.680
<v Speaker 1>to prove her innocence. He says that the police misreported

0:16:05.720 --> 0:16:09.000
<v Speaker 1>the date of one incident, and on that real dating question,

0:16:09.280 --> 0:16:12.160
<v Speaker 1>the data show Katie wasn't there. And then she said,

0:16:12.200 --> 0:16:15.400
<v Speaker 1>I saw two women in a car in the driveway,

0:16:16.280 --> 0:16:18.200
<v Speaker 1>and I can use the location to all the show

0:16:18.320 --> 0:16:23.240
<v Speaker 1>Katie at home on the phone text messaging that entire morning,

0:16:23.320 --> 0:16:26.400
<v Speaker 1>and it was a morning fighting and we showed Katie's

0:16:26.480 --> 0:16:29.160
<v Speaker 1>on the phone in her residence on that morning where

0:16:29.200 --> 0:16:35.560
<v Speaker 1>she couldn't possibly fit been the burger, and that breaks

0:16:35.600 --> 0:16:39.320
<v Speaker 1>their case wide open. I emailed the prosecutor Let's fleet

0:16:39.400 --> 0:16:42.560
<v Speaker 1>about this. He went back, calling the cases rock solid

0:16:42.840 --> 0:16:46.560
<v Speaker 1>and citing eyewitnesses and video footage putting Katie at the

0:16:46.640 --> 0:16:50.880
<v Speaker 1>scene of the alleged crimes. Bill seems torn about the

0:16:50.920 --> 0:16:55.840
<v Speaker 1>amount of data available to both sides in his daughter's case. Well,

0:16:56.520 --> 0:17:01.240
<v Speaker 1>the if you have people who are out to paying

0:17:01.280 --> 0:17:05.720
<v Speaker 1>a picture, you can you can interpret data, if you

0:17:05.760 --> 0:17:08.800
<v Speaker 1>can assign motives to people, interpret things anyway you want.

0:17:09.359 --> 0:17:12.480
<v Speaker 1>Most of the wrongful convictions are where people at a

0:17:12.520 --> 0:17:15.520
<v Speaker 1>wrong place at the wrong time. I think that there's

0:17:15.520 --> 0:17:20.359
<v Speaker 1>a lot of downside having so much information, But if

0:17:20.359 --> 0:17:24.720
<v Speaker 1>you're an innocent person like Katie, this is absolutely um.

0:17:25.359 --> 0:17:27.240
<v Speaker 1>The only reason that we are where we are is

0:17:27.320 --> 0:17:30.680
<v Speaker 1>because that data existed, and we hope to be able

0:17:30.720 --> 0:17:35.399
<v Speaker 1>to use it to to prove her innocence. Ali, is

0:17:35.440 --> 0:17:38.720
<v Speaker 1>it unusual to have Google data show up in investigations

0:17:38.800 --> 0:17:41.919
<v Speaker 1>like this? Yeah, that's a good question. I wondered how

0:17:42.000 --> 0:17:45.000
<v Speaker 1>widespread this is. After talking with THEO and Bill So,

0:17:45.080 --> 0:17:48.560
<v Speaker 1>I called Jerome Greco. He's a digital forensics attorney at

0:17:48.560 --> 0:17:51.560
<v Speaker 1>the Legal Aid Society in New York. Two things law

0:17:51.600 --> 0:17:54.119
<v Speaker 1>enforce and one is doing a lot more than the

0:17:54.480 --> 0:17:58.720
<v Speaker 1>than they're publicly revealing, even on criminal cases. And too,

0:17:59.400 --> 0:18:03.000
<v Speaker 1>I think that they're going to just continually continue to

0:18:03.040 --> 0:18:05.159
<v Speaker 1>get more and more advanced and use these things more

0:18:05.160 --> 0:18:09.160
<v Speaker 1>and more. He had a powerful analogy to comparing traditional

0:18:09.280 --> 0:18:12.480
<v Speaker 1>police warrants to search your house with modern requests to

0:18:12.520 --> 0:18:15.520
<v Speaker 1>probe the contents of your smartphone and online accounts. If

0:18:15.560 --> 0:18:18.440
<v Speaker 1>I had a choice between somebody searching my home and

0:18:18.560 --> 0:18:21.560
<v Speaker 1>somebody searching my phone, I would choose my home every

0:18:21.600 --> 0:18:25.199
<v Speaker 1>single time. Uh. And again, I'm not somebody who who

0:18:25.400 --> 0:18:28.720
<v Speaker 1>has something illegal that I'm concerned about. But there's a

0:18:28.800 --> 0:18:31.240
<v Speaker 1>lot more private and personal information on my phone than

0:18:31.280 --> 0:18:35.560
<v Speaker 1>there is in my house, in my apartment, the police

0:18:35.600 --> 0:18:38.720
<v Speaker 1>can access your Google data if they can persuade a judge.

0:18:38.760 --> 0:18:42.240
<v Speaker 1>There's a good reason other government agencies go through similar steps.

0:18:42.760 --> 0:18:45.560
<v Speaker 1>If they get the okay, the company has to comply.

0:18:48.240 --> 0:18:51.400
<v Speaker 1>Back at Stanford, THEO was reluctant to discuss Katie's case,

0:18:51.840 --> 0:18:54.640
<v Speaker 1>but the episode is another source of mixed feelings about

0:18:54.680 --> 0:18:57.280
<v Speaker 1>the data that his creation has revealed. So well, I

0:18:57.320 --> 0:19:00.280
<v Speaker 1>think at least once once people realize that this is

0:19:00.320 --> 0:19:03.879
<v Speaker 1>a reality that we've kind of accidentally stumbled into. Right,

0:19:03.960 --> 0:19:07.480
<v Speaker 1>there was never any big, like public decision like let's

0:19:07.520 --> 0:19:10.160
<v Speaker 1>do it, let's let's all record our locations at all

0:19:10.240 --> 0:19:12.800
<v Speaker 1>times and give them to this private company and just

0:19:13.000 --> 0:19:14.920
<v Speaker 1>let's just do it. Right. That was not That was

0:19:15.000 --> 0:19:18.040
<v Speaker 1>not something that happened. Google Maps has just gotten smarter.

0:19:18.280 --> 0:19:21.119
<v Speaker 1>We can when you're home, we'll we'll tell you you

0:19:21.200 --> 0:19:22.920
<v Speaker 1>know how far it is to work. Right. That was

0:19:22.960 --> 0:19:25.840
<v Speaker 1>how this was all presented, and I think the uh,

0:19:26.160 --> 0:19:29.280
<v Speaker 1>the steps that kind of led to that were a

0:19:29.440 --> 0:19:31.920
<v Speaker 1>lot murkier in a lot of people's minds. And it

0:19:32.080 --> 0:19:34.840
<v Speaker 1>was like Google Maps is so great, man, it always

0:19:34.880 --> 0:19:37.480
<v Speaker 1>tells me and how far my commute is to work?

0:19:37.640 --> 0:19:39.680
<v Speaker 1>Like this is awesome, I know what to do, but

0:19:40.320 --> 0:19:43.359
<v Speaker 1>but what's the cost of that? I think people right

0:19:43.400 --> 0:19:47.040
<v Speaker 1>now broadly don't have an accurate sense of the cost,

0:19:47.160 --> 0:19:49.159
<v Speaker 1>and so they can't really way the benefit against that.

0:19:49.200 --> 0:19:51.560
<v Speaker 1>It just seems like all benefits, but in fact there

0:19:51.600 --> 0:19:53.359
<v Speaker 1>are these costs and we need to kind of consider

0:19:53.520 --> 0:19:55.520
<v Speaker 1>is this this is a cost we want to pay

0:19:56.119 --> 0:20:00.119
<v Speaker 1>or what Google says it fights stay to equip us

0:20:00.160 --> 0:20:03.160
<v Speaker 1>that are overly board. It's also important to point out

0:20:03.440 --> 0:20:06.600
<v Speaker 1>that the specific location data product that we're talking about

0:20:06.960 --> 0:20:10.640
<v Speaker 1>is something that you have to opt into. However, that's

0:20:10.680 --> 0:20:13.639
<v Speaker 1>easy to do because Google often sends pop up questions

0:20:13.680 --> 0:20:16.600
<v Speaker 1>when you're using its apps suggesting location data would make

0:20:16.640 --> 0:20:19.680
<v Speaker 1>the service better, and their services are really useful, so

0:20:19.920 --> 0:20:30.639
<v Speaker 1>most of the time we end up clicking yes. Do

0:20:30.720 --> 0:20:33.560
<v Speaker 1>you feel any different about the location data or any

0:20:33.600 --> 0:20:38.000
<v Speaker 1>other information on your phone? So I guess for me,

0:20:38.359 --> 0:20:40.680
<v Speaker 1>I know it's there, I know I've opted into it.

0:20:41.200 --> 0:20:43.480
<v Speaker 1>I know it will probably reveal things about me, and

0:20:43.760 --> 0:20:46.080
<v Speaker 1>I neither want to delete it, nor do I want

0:20:46.119 --> 0:20:49.240
<v Speaker 1>to look at it and see what it says. Yeah,

0:20:49.280 --> 0:20:52.919
<v Speaker 1>I think I think I'm pretty torn. I certainly feel

0:20:53.600 --> 0:20:56.359
<v Speaker 1>seeing seeing that data put in front of me on

0:20:56.520 --> 0:21:00.680
<v Speaker 1>on that map in so much detail. Uh, it really

0:21:00.760 --> 0:21:03.520
<v Speaker 1>gives you a sense of you know, how people compere

0:21:03.600 --> 0:21:06.760
<v Speaker 1>into your life. Actually, um, we didn't include this, but

0:21:06.920 --> 0:21:10.359
<v Speaker 1>Jerome was saying that it's a good example would be

0:21:10.520 --> 0:21:12.400
<v Speaker 1>something like, you know, if you go to church every

0:21:12.440 --> 0:21:14.680
<v Speaker 1>Sunday and you go to a particular church, you know,

0:21:14.720 --> 0:21:17.520
<v Speaker 1>they'd have the latitude and longitude of that, and you know,

0:21:17.520 --> 0:21:19.760
<v Speaker 1>if people got hold of that that they you know,

0:21:19.800 --> 0:21:22.119
<v Speaker 1>they'd be able to say, well, you're you're religious and

0:21:22.240 --> 0:21:24.200
<v Speaker 1>you actually believe in this type of religion and maybe,

0:21:24.240 --> 0:21:25.960
<v Speaker 1>you know, maybe you don't want people to everyone to

0:21:26.040 --> 0:21:28.119
<v Speaker 1>know about that. And yet maybe there's a lag in

0:21:28.280 --> 0:21:31.920
<v Speaker 1>civil society when it comes to learning about our data

0:21:32.040 --> 0:21:34.240
<v Speaker 1>and what its value is. And all the different ways

0:21:34.600 --> 0:21:37.920
<v Speaker 1>that it can be used, and inevitably there will be

0:21:38.040 --> 0:21:40.000
<v Speaker 1>more ways that it can be used that we haven't

0:21:40.000 --> 0:21:42.120
<v Speaker 1>even thought of yet. But as as we move forward

0:21:42.160 --> 0:21:44.840
<v Speaker 1>in time and as we all become more savvy about

0:21:45.000 --> 0:21:47.280
<v Speaker 1>what can be done with data, I'm sure there will

0:21:47.320 --> 0:21:50.640
<v Speaker 1>be other use cases like the one that THEO created

0:21:50.840 --> 0:21:55.640
<v Speaker 1>and many others. Yeah. Actually, THEO raised one final concern

0:21:55.760 --> 0:21:58.640
<v Speaker 1>on that point of consent and opting in or opting out,

0:21:59.080 --> 0:22:00.760
<v Speaker 1>and I hadn't really thought about it, but but I

0:22:00.840 --> 0:22:02.840
<v Speaker 1>really can't shake it now that he's mentioned it. I

0:22:02.920 --> 0:22:05.080
<v Speaker 1>think one of the biggest concerns is kind of not

0:22:05.200 --> 0:22:08.000
<v Speaker 1>even now, right, but it's thinking ten years from now,

0:22:08.080 --> 0:22:10.600
<v Speaker 1>twenty years from now, fifty years from now, this data

0:22:10.680 --> 0:22:14.119
<v Speaker 1>still exists, right. The data that you create now is data,

0:22:14.240 --> 0:22:18.080
<v Speaker 1>and it persists indefinitely, you know, two introduced from now.

0:22:18.080 --> 0:22:20.760
<v Speaker 1>I don't know what what what's it being, what's it

0:22:20.800 --> 0:22:23.879
<v Speaker 1>being used for? The delayed utility of this data that

0:22:24.040 --> 0:22:26.520
<v Speaker 1>we're not aware of now. Maybe it's good and maybe

0:22:26.560 --> 0:22:28.800
<v Speaker 1>it helps you or maybe it really hurts you, but

0:22:28.920 --> 0:22:31.680
<v Speaker 1>you don't know. And has THEO ever shut off his

0:22:31.880 --> 0:22:35.240
<v Speaker 1>own location data on Google? Yes, he admitted to flipping

0:22:35.280 --> 0:22:37.920
<v Speaker 1>the switch for a couple of months once, but he

0:22:38.000 --> 0:22:40.480
<v Speaker 1>was pretty cagy about it. It's kind of tough to

0:22:40.520 --> 0:22:43.480
<v Speaker 1>talk about, right. It's I don't exactly know why I

0:22:43.600 --> 0:22:47.600
<v Speaker 1>did it. Almost it was just I want maybe I

0:22:47.640 --> 0:22:50.399
<v Speaker 1>don't want this because I just had passively opted in

0:22:50.800 --> 0:22:54.040
<v Speaker 1>to it my entire life. Let me consciously opt out

0:22:54.560 --> 0:22:56.680
<v Speaker 1>and and see what that's like, because it's a little

0:22:56.760 --> 0:22:59.840
<v Speaker 1>unnerving thinking about it. And then ultimately I think I

0:23:00.000 --> 0:23:03.440
<v Speaker 1>turned it back on because it was there was a

0:23:03.480 --> 0:23:16.680
<v Speaker 1>little part of me right. And that's it for this

0:23:16.800 --> 0:23:20.600
<v Speaker 1>week's episode of Decrypted. Thanks for listening. If you have

0:23:20.680 --> 0:23:24.320
<v Speaker 1>a story about Google or Internet data, send us an

0:23:24.359 --> 0:23:28.159
<v Speaker 1>email at decrypted at Bloomberg dot net, or you can

0:23:28.240 --> 0:23:31.159
<v Speaker 1>reach out to us on Twitter. I'm an Alistair m

0:23:31.240 --> 0:23:35.199
<v Speaker 1>bar and I'm at Pierre Gadkari. If you haven't already,

0:23:35.280 --> 0:23:38.200
<v Speaker 1>please subscribe to our show wherever you get your podcasts.

0:23:38.560 --> 0:23:40.640
<v Speaker 1>And while you're there, I hope you take a minute

0:23:40.640 --> 0:23:42.959
<v Speaker 1>to leave us a rating and a review. It does

0:23:43.040 --> 0:23:44.960
<v Speaker 1>so much to get us in front of new listeners.

0:23:46.000 --> 0:23:49.080
<v Speaker 1>This episode was produced by Pierre get Cary, Liz Smith,

0:23:49.200 --> 0:23:53.680
<v Speaker 1>and Magnus Hendrickson. Special thanks said brad Stone, aki Ito

0:23:54.040 --> 0:23:57.600
<v Speaker 1>and Vander May, and Emily Busso. Francesco Leavi is head

0:23:57.640 --> 0:24:09.879
<v Speaker 1>of Bloomberg Podcasts. We'll see you next. US plans