WEBVTT - You Got Surveilled

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<v Speaker 1>Brought to you by Toyota. Let's go places. Welcome to

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<v Speaker 1>Forward Thinking. Hi there, everyone, and welcome to Forward Thinking,

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<v Speaker 1>the podcast that looks at the future and says, someone

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<v Speaker 1>left the cake out in the rain. I'm Jonathan Strickland,

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<v Speaker 1>I'm Lauren voc Obama, and I'm Joe McCormick. And we'll

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<v Speaker 1>never have that recipe again. All right, So today we

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<v Speaker 1>wanted to talk about the fact that we have a

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<v Speaker 1>proliferation of cameras all around us these days. There seems

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<v Speaker 1>to always be a camera somewhere, whether it's in the

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<v Speaker 1>hands of a person, or on on a street corner,

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<v Speaker 1>or in a corner store, or on someone's face. There

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<v Speaker 1>there seem to be just about everywhere, now right, Yeah,

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<v Speaker 1>this has gone from science fiction to reality in our lifetimes. Yeah, yeah,

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<v Speaker 1>right right, yeah. When when Well, i mean not that

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<v Speaker 1>any of us were around in uh came out, but

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<v Speaker 1>you just blew my mind. Yeah when Orwell published nineteen

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<v Speaker 1>eighty four, which came out in nineteen forty nine, and

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<v Speaker 1>that really did presage this era of surveillance where in

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<v Speaker 1>that case, a very uh totalitarian and oppressive government was

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<v Speaker 1>using surveillance to keep the population cowed and under control. Right,

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<v Speaker 1>There was a sense that you never knew when someone

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<v Speaker 1>was watching you, so you so there had to be

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<v Speaker 1>on good behavior continually because yeah, you had to operate

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<v Speaker 1>under the assumption that you were being watched and that

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<v Speaker 1>someone was going to punish you if you didn't anything wrong.

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<v Speaker 1>That's kind of interesting considering that when when that book

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<v Speaker 1>came out in nineteen forty nine, that actually predates the

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<v Speaker 1>uh the deployment of a lot of CCTV technology, which

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<v Speaker 1>followed a few years later. But the earliest I could

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<v Speaker 1>find of any sort of use of closed circuit television

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<v Speaker 1>cameras dates back to nineteen forty two, and that was

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<v Speaker 1>in World War Two Germany. They were using that not

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<v Speaker 1>to keep an eye on citizens or try and report

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<v Speaker 1>people or anything along those lines. They were using it

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<v Speaker 1>because they needed a way to observe V two rocket

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<v Speaker 1>launches without getting fried when something would go wrong. So

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<v Speaker 1>losing a camera is better than losing a scientist with

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<v Speaker 1>a clipboard who was standing there a second ago. And

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<v Speaker 1>now there's just a pair of smoking shoes for MythBusters.

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<v Speaker 1>Yeah right, Well, um, it looks like CCTV cameras first

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<v Speaker 1>became popular or widespread in the seventies and eighties. Yeah,

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<v Speaker 1>there was some there's some precedent for cameras in the

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<v Speaker 1>UK before that, but it was all it wasn't necessarily

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<v Speaker 1>close circuit television cameras. But back in nineteen sixty there

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<v Speaker 1>were a couple of times when police in the UK

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<v Speaker 1>installed cameras in Trafalgar Square. Once but when the tai

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<v Speaker 1>royal family was visiting and they just wanted to make

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<v Speaker 1>sure that they were able to keep an eye on

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<v Speaker 1>crowd control. Uh. And then the other time was during

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<v Speaker 1>well the fifth of November, which of course is Guy

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<v Speaker 1>Fox Day. Remember remember I remember, do you the Gunpowder

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<v Speaker 1>treason and plot? Wait, you're not saying they had sec

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<v Speaker 1>TV camera when he tried to blow up Parliament. No,

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<v Speaker 1>this was nineteen sixty on the anniversary of that. Actually

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<v Speaker 1>was on the anniversary of him being captured. To be fair,

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<v Speaker 1>Guy Fox Day is to celebrate the fact that the

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<v Speaker 1>government captured Guy Fox, not the fact that a man

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<v Speaker 1>tried to blow up Parliament, right, never know that from

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<v Speaker 1>that movie and all the people who wear the masks. Yeah, no,

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<v Speaker 1>that's true. I did a full podcast about Guy Fox

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<v Speaker 1>Day on a on a completely separate channel where I

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<v Speaker 1>talked about what Guy fox Day is all about and

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<v Speaker 1>how the the modern misconception and particularly in America, casts

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<v Speaker 1>it as sort of an anti hero. But really Guy

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<v Speaker 1>fox Day was all about hey we stopped Yeah anyway,

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<v Speaker 1>but that that was Those were two incidents where the

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<v Speaker 1>London police installed some cameras. In both of those cases,

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<v Speaker 1>those cameras were meant to just be temporary. They set

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<v Speaker 1>him up in order to kind of give themselves a

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<v Speaker 1>little extra manpower. Well, they thought it was such a

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<v Speaker 1>great idea that they would just go ahead and deploy

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<v Speaker 1>those suckers all over the place, although it did take

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<v Speaker 1>them a few decades. Yeah, I saw something about I

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<v Speaker 1>think the so there were some cameras like up in

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<v Speaker 1>Times Square in the nineteen seventies and stuff like that,

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<v Speaker 1>but um, this really got big in the eighties. I

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<v Speaker 1>think between A figure I saw was that between nineteen

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<v Speaker 1>eighty and two thousand, CCTV sales jumped seven Yeah, that's

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<v Speaker 1>when the explosion. The early days were in the sixties

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<v Speaker 1>and seventies where they were usually being laid out along

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<v Speaker 1>roadways things like that in order to just keep an

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<v Speaker 1>eye on how things were flowing through London. Mainly London

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<v Speaker 1>was the big city where this was happening. You did

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<v Speaker 1>have it in some other cities. New York had some

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<v Speaker 1>in Times Square like you mentioned, but uh, and then

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<v Speaker 1>you had some private companies or retail organizations that were

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<v Speaker 1>installing them as a mean to try and counteract any

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<v Speaker 1>sort of shoplifting activity. So but those were really the

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<v Speaker 1>the main uses until the nineteen eighties. That's when it

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<v Speaker 1>really started to quote unquote exclude well. Actually, uh, one

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<v Speaker 1>thing that we one misconception we might want to clear

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<v Speaker 1>up is this idea that most of these uh CCTV

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<v Speaker 1>cameras are public. The majority, the vast majority, are still private. Um.

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<v Speaker 1>So when when you've heard about how many times you

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<v Speaker 1>might be photographed or video recorded going about your business

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<v Speaker 1>throughout the day, most of those images are going to

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<v Speaker 1>happen at you know, the shop, you go into, the

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<v Speaker 1>place where you work, the public exactly. Yeah, um yeah, there,

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<v Speaker 1>I mean, there there are plenty of official public cameras,

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<v Speaker 1>public meaning that they're owned by the government as opposed

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<v Speaker 1>to private companies. But they do have that. I mean,

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<v Speaker 1>it's just a fraction of all the cameras that are

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<v Speaker 1>out there, right, although it should be noted that according

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<v Speaker 1>to the Electronic Can Occasions Privacy Act of nine, police

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<v Speaker 1>can legally use footage from private cameras pursue any kind

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<v Speaker 1>of Yeah. Yeah, and they do all the time, of course. Yeah. Um. Well,

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<v Speaker 1>so one interesting question that people started worrying about, especially

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<v Speaker 1>in the in the post nine eleven era, when they're

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<v Speaker 1>started to be increasing awareness that maybe we should really

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<v Speaker 1>worry about privacy and recording. Um, people started to say,

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<v Speaker 1>how many cameras are there and how much of our

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<v Speaker 1>lives are being recorded? Yeah, because there was no way

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<v Speaker 1>of really knowing this. Uh, I would argue, there's still

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<v Speaker 1>no way. Well, yeah, just essentially, if you have if

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<v Speaker 1>you have a cell phone that was manufactured in the

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<v Speaker 1>last you know, five years, you probably have you have

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<v Speaker 1>at least a still camera, if not a full digital

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<v Speaker 1>video camera that can upload uh footage directly to the

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<v Speaker 1>internet or at least save it on the phone and

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<v Speaker 1>then transferred. I'm just talking about cct not even when

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<v Speaker 1>we we'll get to personal devices, and so even even

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<v Speaker 1>answering the question about CCTV is deaf, That's all I'm

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<v Speaker 1>talking about. Yeah, people who have cameras and and they're

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<v Speaker 1>they're rolling. Yeah, you can count on it. UM. So

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<v Speaker 1>there are a few different numbers. One number that you

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<v Speaker 1>might have seen bouncing around a lot um is an

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<v Speaker 1>estimate that comes from the UK, and the UK is

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<v Speaker 1>famous for this because it's often said that it's the

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<v Speaker 1>most surveiled place in the world. Right, they've got cameras everywhere,

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<v Speaker 1>by the way, set in London in oceanny all right, yeah, yeah,

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<v Speaker 1>airstrip one okay, UM, So the figure is four point

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<v Speaker 1>two million. Now I'll revise this in a second, but

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<v Speaker 1>this has been for years. People have bandied this about

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<v Speaker 1>four point two million cameras in the UK and that

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<v Speaker 1>works out to one camera for every fourteen people that

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<v Speaker 1>takes I mean, and so you see this sited a

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<v Speaker 1>lot of times by privacy advocates in the UK and stuff. Um.

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<v Speaker 1>But it turns out that this is probably not the

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<v Speaker 1>most accurate estimate UM. In fact, it's probably very high.

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<v Speaker 1>Because the way they got this estimate um is that

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<v Speaker 1>there was a paper that basically they looked at a

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<v Speaker 1>couple of streets, um, and they were like, well, how

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<v Speaker 1>many cameras are are on these streets, combining public cameras

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<v Speaker 1>and cameras and you know, privately owned businesses and and

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<v Speaker 1>all that, um. And then they extrapolated that out um

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<v Speaker 1>and and got this really high number. UM. So in

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<v Speaker 1>the county Cheshire in England. UM, they had police community

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<v Speaker 1>support officers go through and physically count all of the

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<v Speaker 1>cameras to see, well, exactly how many are there really?

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<v Speaker 1>Um And then they use some statistical models to um say, well,

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<v Speaker 1>you know, compared to the urban density and and stuff

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<v Speaker 1>and other areas, UM, what we can say that the

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<v Speaker 1>UK more likely has one point eight five million cameras,

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<v Speaker 1>about significantly fewer than four points less than half of

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<v Speaker 1>the original estimate. It's still a bunch. Yeah, well there

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<v Speaker 1>are a few the funny things here. Either way, that's

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<v Speaker 1>a huge amount of cameras. Number two, it's just kind

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<v Speaker 1>of creepy that people have no idea their their estimates

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<v Speaker 1>are differing by the millions. Well yeah, yeah, well when

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<v Speaker 1>you get to when you get to big numbers, people

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<v Speaker 1>are really bad about estimating that anyway. Right, This this

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<v Speaker 1>goes beyond just cameras. This goes to just how how

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<v Speaker 1>humans work in general. Like, once we get beyond a

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<v Speaker 1>certain point, estimations no longer really work out in our favor.

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<v Speaker 1>We're really bad with big numbers. It's also why you

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<v Speaker 1>get things like, hey, let's play the lottery. Look how

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<v Speaker 1>much money it is. What are the odds of winning?

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<v Speaker 1>And you just you know, the odds are so astronomical

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<v Speaker 1>that you would, uh, your eyes glaze over. You're just like,

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<v Speaker 1>well that's big. You're like someone has to win, right

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<v Speaker 1>and so. But if you really think about the odds,

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<v Speaker 1>you just think, well, really buying a lottery ticket and

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<v Speaker 1>throwing a dollar away, there's not a whole lot of

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<v Speaker 1>difference there. Yeah, you have a chance of winning, but

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<v Speaker 1>it's so tiny, and you're probably supporting your local schools,

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<v Speaker 1>but well, supporting some school. Yeah, the the if my

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<v Speaker 1>money goes to Georgia Tech, you're gonna know, you know,

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<v Speaker 1>I'm gonna be upset. Um. But at any rate, the

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<v Speaker 1>point is that we're really bad at that sort of thing,

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<v Speaker 1>So it doesn't really surprise me, you know, to go

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<v Speaker 1>one point eight million versus four point two million, because

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<v Speaker 1>once you get over a certain number that you might

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<v Speaker 1>as well just say lots there are. The point is

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<v Speaker 1>either way, it's it's one of the most surveilled places

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<v Speaker 1>in the world, if not the most, and it's it's

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<v Speaker 1>incredibly dense surveillance. Oh yeah, and and this plays a

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<v Speaker 1>role in in television and movies and absolutely like you know,

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<v Speaker 1>like Torchwood. And there's the moment where Watson is uh

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<v Speaker 1>is called. He's answering the phone in a a phone booth,

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<v Speaker 1>which apparently they still exist, I guess, but he's answering

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<v Speaker 1>a phone and then the voice on the other line

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<v Speaker 1>tells him to look up at the various corners, and

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<v Speaker 1>you can see that there are the cameras that are

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<v Speaker 1>mounted on the outside of buildings, and the cameras very

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<v Speaker 1>specifically look away from his um phone booth for showing

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<v Speaker 1>that the conversation is going to be private and not

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<v Speaker 1>displayed on any kind of uh uh closed circuit television technology.

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<v Speaker 1>So it's it's a part of life over there in

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<v Speaker 1>the United States. It's still something that we would consider

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<v Speaker 1>very unusual, right. I would actually argue, though, going back

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<v Speaker 1>to a slightly earlier point, that it doesn't matter technically

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<v Speaker 1>how many there are there due to principles that were

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<v Speaker 1>talked about by A. Jeremy Bentham in the in the

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<v Speaker 1>seventeen eighties about the pinopticon, which which which was the

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<v Speaker 1>concept of this prison that had this a circular tower

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<v Speaker 1>in the kind of a ring of a prison with

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<v Speaker 1>a circular tower, whereas the cells are on the outside,

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<v Speaker 1>the cells are on the outside, and the guards are

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<v Speaker 1>on the inside, and the prisoners don't know when they're

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<v Speaker 1>being watched, that they have to operate under the assumption

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<v Speaker 1>that they're always being watched. Like we were talking about earlier,

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<v Speaker 1>and this this concept got a big reprise for pries

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<v Speaker 1>in the seventies when for co Is starting to talk

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<v Speaker 1>about it as as a metaphor for the way that

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<v Speaker 1>all of these cameras around us and and the watchfulness

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<v Speaker 1>of society was operating. Yeah. Well, um, part of that

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<v Speaker 1>comes into Uh, we'll come in when we want to

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<v Speaker 1>say what is the effect these cameras have and we

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<v Speaker 1>can get to that in a minute. One another thing

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<v Speaker 1>I wanted to bring up though about this, uh more

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<v Speaker 1>recent account of the cameras in the UK is earlier

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<v Speaker 1>when we were saying that most of the cameras are private.

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<v Speaker 1>This was definitely the case here. You know, they counted

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<v Speaker 1>in County Cheshire more than twelve thousand cameras and only

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<v Speaker 1>about five hundreds of them were public. Wow. Okay, so

0:13:00.840 --> 0:13:03.800
<v Speaker 1>most of these like we were saying, they're in parking lots,

0:13:04.080 --> 0:13:07.400
<v Speaker 1>you know, shops, the places that are privately and people

0:13:07.400 --> 0:13:12.000
<v Speaker 1>trying to protect their stuff. Right, Well, they're recording you

0:13:12.040 --> 0:13:16.439
<v Speaker 1>either way, so that that's still something that again is

0:13:16.440 --> 0:13:19.600
<v Speaker 1>is fairly alien to two people. In the United States,

0:13:19.600 --> 0:13:22.520
<v Speaker 1>we don't have as many camera the now. The retails

0:13:22.559 --> 0:13:26.280
<v Speaker 1>shops definitely do, but not as many cameras that are

0:13:26.320 --> 0:13:28.600
<v Speaker 1>just mounted on the side of buildings as you would

0:13:28.640 --> 0:13:31.520
<v Speaker 1>see in London. Right, we don't have as many, but

0:13:31.800 --> 0:13:35.360
<v Speaker 1>some places in the United States are getting there. Um well,

0:13:35.400 --> 0:13:37.600
<v Speaker 1>a lot of big cities in the United States now

0:13:37.679 --> 0:13:43.480
<v Speaker 1>have pretty serious CCTV infrastructure. Um. For example, they think

0:13:43.520 --> 0:13:48.440
<v Speaker 1>that probably Chicago is the most surveilled city in America.

0:13:48.960 --> 0:13:51.880
<v Speaker 1>And uh, an often cited figure is that there are

0:13:51.960 --> 0:13:57.199
<v Speaker 1>ten thousand CCTV cameras in Chicago. I don't know if

0:13:57.240 --> 0:13:59.960
<v Speaker 1>that is confirmed. That just that number shows up a lot.

0:14:00.000 --> 0:14:02.200
<v Speaker 1>I'm sure most of them are pointed at cemeteries to

0:14:02.200 --> 0:14:04.360
<v Speaker 1>make sure the dead stopped rising from the grave to

0:14:04.480 --> 0:14:11.120
<v Speaker 1>vote in every election. Well, that's possible. Um, No, I

0:14:11.160 --> 0:14:15.920
<v Speaker 1>was being too generous. I don't think that's what they're doing. Um,

0:14:16.360 --> 0:14:19.520
<v Speaker 1>that's a that's a corruption in Chicago joke. Yeah, it

0:14:19.640 --> 0:14:22.880
<v Speaker 1>is here in Atlanta. Supposedly, the city, over the course

0:14:22.920 --> 0:14:25.880
<v Speaker 1>of a year grew from seventeen police cameras to more

0:14:25.880 --> 0:14:32.320
<v Speaker 1>than that's a pretty explosive growth. Yeah, And one of

0:14:32.360 --> 0:14:35.320
<v Speaker 1>the big questions is are we getting our money's worth?

0:14:35.960 --> 0:14:39.000
<v Speaker 1>Are these cameras here in Atlanta? Are these cameras actually

0:14:39.920 --> 0:14:45.680
<v Speaker 1>uh correlated with preventing crime? Yeah? And uh turns out

0:14:45.760 --> 0:14:49.560
<v Speaker 1>the answer is by no means unanimous. And it's really

0:14:49.640 --> 0:14:53.040
<v Speaker 1>hard to get the statistics to agree on this. From

0:14:54.040 --> 0:14:57.920
<v Speaker 1>Some studies seem to show that it does help a lot,

0:14:58.200 --> 0:15:01.720
<v Speaker 1>Some studies show very little help, Some show almost no

0:15:01.800 --> 0:15:05.080
<v Speaker 1>help at all. Well, it's definitely a very complicated thing.

0:15:05.080 --> 0:15:07.200
<v Speaker 1>I mean, I guess the only thing, the only way

0:15:07.200 --> 0:15:09.280
<v Speaker 1>you could say it's it wouldn't be complicated is if

0:15:09.320 --> 0:15:12.280
<v Speaker 1>you were to look at crime rates in a neighborhood

0:15:12.280 --> 0:15:15.040
<v Speaker 1>before there were ever any cameras there versus crime rates

0:15:15.080 --> 0:15:18.160
<v Speaker 1>there once the cameras are put in there, and ignoring

0:15:18.200 --> 0:15:22.280
<v Speaker 1>the fact of things like population changes, nothing else has changed.

0:15:22.640 --> 0:15:26.120
<v Speaker 1>Of course, life is complex. You can do that, I mean,

0:15:26.160 --> 0:15:30.119
<v Speaker 1>you can compare neighborhoods statistics, but a lot of times Um,

0:15:30.160 --> 0:15:32.720
<v Speaker 1>what it seems like often happens is that when you

0:15:32.800 --> 0:15:37.720
<v Speaker 1>implement these cameras, they seem to coincide with other new policies,

0:15:37.760 --> 0:15:42.480
<v Speaker 1>like we also added more patrol cars, um so so

0:15:42.800 --> 0:15:45.480
<v Speaker 1>so can you can't be absolutely certain that it was

0:15:45.480 --> 0:15:48.360
<v Speaker 1>the cameras that had any sort of measurable impact. It

0:15:48.400 --> 0:15:51.960
<v Speaker 1>may be one of these other other UH initiatives that

0:15:51.960 --> 0:15:55.360
<v Speaker 1>are enacted around the same time. Yeah, Like, for example,

0:15:55.400 --> 0:15:58.120
<v Speaker 1>one thing I saw is that when they added a

0:15:58.160 --> 0:16:02.120
<v Speaker 1>whole bunch of CCTV cameras to the to the trains

0:16:02.360 --> 0:16:08.960
<v Speaker 1>in Chicago, they said crime jumped. Um. Now that doesn't

0:16:09.000 --> 0:16:12.120
<v Speaker 1>mean there were more murders. They actually saw a decrease

0:16:12.200 --> 0:16:16.160
<v Speaker 1>in violent crime, but there was an increase in recorded

0:16:16.840 --> 0:16:20.400
<v Speaker 1>fair skipping or fair evasion and other stuff like that.

0:16:20.560 --> 0:16:23.400
<v Speaker 1>So really it just meant that the police were able

0:16:23.440 --> 0:16:27.000
<v Speaker 1>to observe. Well, I don't know if that was the reason,

0:16:27.080 --> 0:16:28.920
<v Speaker 1>but that that could be it. I'm not saying it's

0:16:28.920 --> 0:16:31.240
<v Speaker 1>the reason. I'm saying that they were able to observe

0:16:31.280 --> 0:16:33.240
<v Speaker 1>a lot more like it may not have been that

0:16:33.280 --> 0:16:35.360
<v Speaker 1>there was a rise in incidents. It was just there

0:16:35.400 --> 0:16:38.400
<v Speaker 1>was a rise and awareness. I don't say, yeah, I

0:16:38.440 --> 0:16:40.400
<v Speaker 1>see what you're saying. I don't know that that's the case,

0:16:40.440 --> 0:16:43.920
<v Speaker 1>but that that could be. Um. But yeah, I mean

0:16:44.080 --> 0:16:49.440
<v Speaker 1>one often cited again statistic by privacy advocates in the

0:16:49.520 --> 0:16:52.280
<v Speaker 1>UK is that there's really only been about one UK

0:16:52.520 --> 0:16:59.400
<v Speaker 1>crime solved for every thousand cameras. I mean, whether whether

0:16:59.440 --> 0:17:04.719
<v Speaker 1>we give that credence or not, um, but there's clearly

0:17:04.840 --> 0:17:10.399
<v Speaker 1>a discrepancy about the value these things have. The people

0:17:10.440 --> 0:17:13.520
<v Speaker 1>who seem most in favor of them are law enforcement

0:17:13.920 --> 0:17:19.159
<v Speaker 1>like officers themselves, and some of the discrepancy comes in

0:17:19.240 --> 0:17:23.840
<v Speaker 1>the question of whether these actually prevent crime or whether

0:17:23.920 --> 0:17:26.920
<v Speaker 1>they just make it easier to prosecute crime once it's

0:17:26.960 --> 0:17:30.560
<v Speaker 1>been committed. Got So it may be that it's not

0:17:30.680 --> 0:17:33.000
<v Speaker 1>so much a deterrent as it is just an effective

0:17:33.000 --> 0:17:37.800
<v Speaker 1>means of if you need evidence for prosecution. One thing

0:17:37.840 --> 0:17:40.239
<v Speaker 1>I saw is that in one environment they seem to

0:17:40.240 --> 0:17:45.560
<v Speaker 1>suggest that putting cameras out along with signs that say

0:17:45.720 --> 0:17:48.040
<v Speaker 1>you know, there's a camera recording what you're doing right now,

0:17:48.240 --> 0:17:52.119
<v Speaker 1>actually was more preventative than just having the cameras. You

0:17:52.200 --> 0:17:56.080
<v Speaker 1>might guess that makes sense, yeah, which which is why

0:17:56.119 --> 0:17:58.399
<v Speaker 1>the usually when they put these cameras out there. Um,

0:17:58.480 --> 0:18:00.560
<v Speaker 1>you know, in in this whole kitten comboot of a

0:18:00.640 --> 0:18:03.400
<v Speaker 1>giant box with these you know, very big, very obvious

0:18:03.400 --> 0:18:06.200
<v Speaker 1>sorts of things, because yeah, yeah, they do more good

0:18:06.200 --> 0:18:09.640
<v Speaker 1>by telling you that it's there that hypothetically you could

0:18:09.680 --> 0:18:12.159
<v Speaker 1>you could even have a camera, like an inactive camera

0:18:12.200 --> 0:18:13.679
<v Speaker 1>saying on the side of a building and if you

0:18:13.680 --> 0:18:16.800
<v Speaker 1>have a sign there, then it may have it may

0:18:16.960 --> 0:18:20.719
<v Speaker 1>be a deterrent. But even if it's not active, well, uh,

0:18:21.200 --> 0:18:24.639
<v Speaker 1>that actually may be the case in a lot like that.

0:18:24.840 --> 0:18:28.160
<v Speaker 1>There is clearly a lot of public skepticism about whether

0:18:28.240 --> 0:18:33.879
<v Speaker 1>anybody's actually watching these cameras. And it's not entirely unfounded. Um,

0:18:33.920 --> 0:18:36.840
<v Speaker 1>because as much as it costs to install a camera,

0:18:37.160 --> 0:18:39.520
<v Speaker 1>it costs that much more to pay somebody to pay

0:18:39.560 --> 0:18:44.920
<v Speaker 1>attention to it in real time. Yeah that makes sense. Yeah,

0:18:45.480 --> 0:18:47.800
<v Speaker 1>this is I was looking at um cameras used in

0:18:47.800 --> 0:18:51.160
<v Speaker 1>in traffic situations, traffic monitoring, red light camera stuff like that,

0:18:51.240 --> 0:18:55.080
<v Speaker 1>and um uh and and yeah. There were similar discrepancies

0:18:55.200 --> 0:18:58.520
<v Speaker 1>in the statistics that people found about whether they were

0:18:58.600 --> 0:19:01.040
<v Speaker 1>useful or not. And one said he found that there

0:19:01.040 --> 0:19:04.159
<v Speaker 1>was a significant increase in crashes and especially crashes with

0:19:04.200 --> 0:19:07.920
<v Speaker 1>injuries in Florida with red light cameras, possibly because people

0:19:07.920 --> 0:19:10.040
<v Speaker 1>were slamming on their brakes in order to avoid getting

0:19:10.040 --> 0:19:11.880
<v Speaker 1>a ticket at a red light rather than just going

0:19:11.920 --> 0:19:15.280
<v Speaker 1>through it when perhaps it would have been more safe

0:19:15.680 --> 0:19:19.160
<v Speaker 1>at right when when the light is amber and uh,

0:19:19.200 --> 0:19:22.880
<v Speaker 1>and it is no longer safe for you to actually stop,

0:19:23.280 --> 0:19:25.720
<v Speaker 1>rather it's safer for you to go through. Then that's

0:19:25.720 --> 0:19:27.520
<v Speaker 1>what you're supposed to do. The problem is that a

0:19:27.600 --> 0:19:30.720
<v Speaker 1>lot of people don't really seem to, at least in Atlanta.

0:19:30.840 --> 0:19:33.480
<v Speaker 1>From my own this is anecdotal, obviously, but for my

0:19:33.520 --> 0:19:36.520
<v Speaker 1>own experience of riding around in cars in Atlanta, it

0:19:36.600 --> 0:19:38.879
<v Speaker 1>seems that no one's really concerned about hitting on the

0:19:38.880 --> 0:19:40.840
<v Speaker 1>brakes until the light is red. And even then you

0:19:40.960 --> 0:19:43.280
<v Speaker 1>probably got about two or three cars that go through first.

0:19:43.359 --> 0:19:46.640
<v Speaker 1>Oh yeah, as my wife wants said, in Atlanta, red

0:19:46.720 --> 0:19:50.919
<v Speaker 1>light means okay, only five more cars, right. But that

0:19:51.080 --> 0:19:54.600
<v Speaker 1>we do have some some intersections here in Atlanta that

0:19:54.680 --> 0:19:58.440
<v Speaker 1>do have these these cameras that are located on them

0:19:58.520 --> 0:20:00.800
<v Speaker 1>that that are supposed to take picture ars of cars

0:20:00.840 --> 0:20:03.640
<v Speaker 1>after they pass through a red light. Right, And these

0:20:03.680 --> 0:20:06.960
<v Speaker 1>are these cameras are usually still cameras. They're usually tripped

0:20:06.960 --> 0:20:10.000
<v Speaker 1>by sensors um they might be video or radar, um

0:20:10.160 --> 0:20:13.720
<v Speaker 1>or electromagnetic sensors that are that are done through wires

0:20:13.720 --> 0:20:16.640
<v Speaker 1>that are placed in the asphalt. And these cameras are

0:20:16.680 --> 0:20:20.280
<v Speaker 1>in addition to other kinds of traffic cameras, speed cameras, UM,

0:20:20.480 --> 0:20:23.240
<v Speaker 1>cameras that are involved in police cars themselves that scan

0:20:23.359 --> 0:20:27.560
<v Speaker 1>license plates, cameras that are starting to be installed on

0:20:27.560 --> 0:20:31.080
<v Speaker 1>on officers themselves. UM, there's there's some of that gonna

0:20:31.240 --> 0:20:34.959
<v Speaker 1>gonna happen in Seattle, UM. Five and eighty two American

0:20:35.000 --> 0:20:39.360
<v Speaker 1>communities alone have some kind of traffic cameras in place. Uh.

0:20:39.480 --> 0:20:42.520
<v Speaker 1>Several states prohibit the use of them. Several states have

0:20:43.119 --> 0:20:48.040
<v Speaker 1>legislature going in right now in and and and and

0:20:48.080 --> 0:20:51.960
<v Speaker 1>it's it's it's a really contentious subject because yeah, because

0:20:51.960 --> 0:20:53.720
<v Speaker 1>because again you have a lot of people saying like, well,

0:20:53.720 --> 0:20:56.680
<v Speaker 1>what how much good do they do? How much privacy

0:20:56.720 --> 0:20:59.480
<v Speaker 1>do we need? And and you know, municipalities have some

0:20:59.520 --> 0:21:02.280
<v Speaker 1>of these trait cameras up online, the video ones you

0:21:02.320 --> 0:21:05.080
<v Speaker 1>can go check. There's entire databases of these things that

0:21:05.119 --> 0:21:08.760
<v Speaker 1>you can access. And there are very real reasons why

0:21:08.840 --> 0:21:11.800
<v Speaker 1>that's very helpful. Um, you know, they could help first

0:21:11.840 --> 0:21:14.280
<v Speaker 1>responders arrive on scene. With an idea of what the

0:21:14.320 --> 0:21:17.240
<v Speaker 1>situation is, and in case of a terrible accident or

0:21:17.680 --> 0:21:19.480
<v Speaker 1>or in case of a national emergency, you're not even

0:21:19.520 --> 0:21:21.879
<v Speaker 1>national emergency, in case of some kind of weather emergency

0:21:22.040 --> 0:21:24.560
<v Speaker 1>or or something like happened in Boston, you can you

0:21:24.600 --> 0:21:26.679
<v Speaker 1>can let people know what's going on on the ground.

0:21:27.119 --> 0:21:30.480
<v Speaker 1>It also means that someone who would normally be taking

0:21:30.520 --> 0:21:32.800
<v Speaker 1>that route might be able to see that there's something

0:21:32.840 --> 0:21:36.040
<v Speaker 1>serious going on and they know too reroute, which ultimately

0:21:36.119 --> 0:21:38.479
<v Speaker 1>helps those first responders who are trying to get at

0:21:38.520 --> 0:21:40.919
<v Speaker 1>the scene and take care of anyone who might be

0:21:40.960 --> 0:21:44.720
<v Speaker 1>injured or whatever the situation is. So, you know, to

0:21:44.720 --> 0:21:47.439
<v Speaker 1>to an individual, it may seem like, oh, well, this way,

0:21:47.600 --> 0:21:49.720
<v Speaker 1>my commute is not going to be three hours long.

0:21:49.800 --> 0:21:52.120
<v Speaker 1>But if you step out of that and you look

0:21:52.160 --> 0:21:54.439
<v Speaker 1>at the big scheme of things, it also means that

0:21:54.440 --> 0:21:56.760
<v Speaker 1>that the people who are there to help in an

0:21:56.800 --> 0:21:59.280
<v Speaker 1>emergency can actually do their job. Yeah. Of course this

0:21:59.320 --> 0:22:02.240
<v Speaker 1>would tie into, as we've talked about before, the idea

0:22:02.240 --> 0:22:04.760
<v Speaker 1>of a smart traffic grid. I mean, if you're going

0:22:04.800 --> 0:22:07.160
<v Speaker 1>to have such a thing in the future, like autonomous

0:22:07.160 --> 0:22:11.160
<v Speaker 1>cars responding and and doing traffic the smart way, you'd

0:22:11.280 --> 0:22:14.240
<v Speaker 1>essentially have to have traffic cameras right right, Yeah, and

0:22:14.280 --> 0:22:17.119
<v Speaker 1>computers could be watching them and help you reroute to

0:22:17.160 --> 0:22:19.680
<v Speaker 1>make sure that you get there as fast as possible. Exactly.

0:22:20.240 --> 0:22:23.159
<v Speaker 1>So well, here's a question, though, I wonder that maybe

0:22:23.160 --> 0:22:27.159
<v Speaker 1>one difference between the idea of say, cameras in a

0:22:27.240 --> 0:22:30.640
<v Speaker 1>shop or on a street corner looking at the sidewalk

0:22:30.760 --> 0:22:34.080
<v Speaker 1>or a park versus traffic cameras at red lights. When

0:22:34.119 --> 0:22:38.320
<v Speaker 1>do you have the expectation of privacy and when should

0:22:38.359 --> 0:22:41.919
<v Speaker 1>you be able to feel like I shouldn't have to

0:22:42.000 --> 0:22:45.320
<v Speaker 1>expect somebody's watching me. Well, according to Cats Versus the

0:22:45.359 --> 0:22:48.040
<v Speaker 1>United States, as of nineteen sixty seven, people in public

0:22:48.080 --> 0:22:52.200
<v Speaker 1>areas cannot expect privacy since they are knowingly exposing themselves.

0:22:52.560 --> 0:22:54.639
<v Speaker 1>The same thing is true in the United Kingdom, where

0:22:54.840 --> 0:22:58.600
<v Speaker 1>if you are in any sort of public area, then

0:22:58.720 --> 0:23:03.120
<v Speaker 1>you by law have no expectation of privacy as far

0:23:03.160 --> 0:23:06.359
<v Speaker 1>as being caught on camera or anything along those lines.

0:23:06.640 --> 0:23:10.399
<v Speaker 1>As Second U s Circuit Court of Appeals said that

0:23:10.520 --> 0:23:13.920
<v Speaker 1>just recording people in a public place is totally fine. Um,

0:23:13.920 --> 0:23:17.439
<v Speaker 1>it's it's recording with an intent to commit some further crime.

0:23:18.080 --> 0:23:21.719
<v Speaker 1>That is a criminal behavior. So I see, so if

0:23:21.760 --> 0:23:23.880
<v Speaker 1>you're if you're just you know, out and about and

0:23:24.080 --> 0:23:27.280
<v Speaker 1>you've got a camera going in a public place and

0:23:27.359 --> 0:23:29.800
<v Speaker 1>it's just because you think it's a nice day and

0:23:29.840 --> 0:23:34.160
<v Speaker 1>you want to record that. There's that's perfectly fine. Uh,

0:23:34.160 --> 0:23:36.199
<v Speaker 1>that there may be people who take issue with that,

0:23:36.359 --> 0:23:39.520
<v Speaker 1>and they may make that known to you. Yeah, the

0:23:39.800 --> 0:23:43.479
<v Speaker 1>specific case was was in in a private residences as

0:23:43.520 --> 0:23:47.120
<v Speaker 1>well um private spaces that the case surrounded this um

0:23:47.560 --> 0:23:51.119
<v Speaker 1>woman who's I think a woman had passed away and

0:23:51.200 --> 0:23:54.720
<v Speaker 1>without a will, and her son recorded a family conversation

0:23:55.200 --> 0:23:57.479
<v Speaker 1>unbeknownst to the rest of the members of the family,

0:23:57.720 --> 0:23:59.840
<v Speaker 1>and the court said that was totally fine and that

0:24:00.080 --> 0:24:04.160
<v Speaker 1>that he could in fact submit that video is evidence. Interesting. Yeah,

0:24:04.280 --> 0:24:06.440
<v Speaker 1>that's something one of those things where you never know

0:24:06.520 --> 0:24:09.080
<v Speaker 1>if if it were to go further, if that would

0:24:09.080 --> 0:24:11.600
<v Speaker 1>hold up or not. It's I mean, that's of course

0:24:11.640 --> 0:24:14.000
<v Speaker 1>the way law works in the United States, right You

0:24:14.000 --> 0:24:17.880
<v Speaker 1>you challenge the law, or someone someone can challenge a law,

0:24:17.920 --> 0:24:21.000
<v Speaker 1>and then it goes up the court system until ultimately

0:24:21.040 --> 0:24:24.159
<v Speaker 1>the Supreme Court could make a decision. Sometimes they decide

0:24:24.200 --> 0:24:27.560
<v Speaker 1>not to decide, uh, and then that sort of answers

0:24:27.600 --> 0:24:30.960
<v Speaker 1>the question, at least in that particular case. But yeah,

0:24:31.040 --> 0:24:34.600
<v Speaker 1>I mean there there are other, uh incidents of cameras

0:24:34.640 --> 0:24:36.720
<v Speaker 1>that I wanted to talk about. Joe what Well, I

0:24:36.720 --> 0:24:39.200
<v Speaker 1>thought there was one funny thing I read when looking

0:24:39.240 --> 0:24:42.800
<v Speaker 1>at CCTV cameras in the UK, in conjunction with the

0:24:42.840 --> 0:24:47.240
<v Speaker 1>traffic cameras, they've actually even got mobile CCTV cameras, mean

0:24:47.400 --> 0:24:52.119
<v Speaker 1>that they've got surveillance cars. These are like mobile units

0:24:52.160 --> 0:24:55.200
<v Speaker 1>that drive around and record what's going on in traffic.

0:24:56.080 --> 0:24:58.080
<v Speaker 1>That's well, that kind of ties into what I was

0:24:58.119 --> 0:25:00.879
<v Speaker 1>going to talk about, which are the ashcams that you

0:25:00.960 --> 0:25:05.959
<v Speaker 1>find in uh in Russia? You did? You did? You know?

0:25:06.040 --> 0:25:08.280
<v Speaker 1>The more we talk about, the less subtle it is.

0:25:09.840 --> 0:25:12.960
<v Speaker 1>But that that smooth segue allows me to talk about

0:25:13.040 --> 0:25:15.879
<v Speaker 1>Russian dash cams. Uh. And of course a lot of

0:25:15.920 --> 0:25:17.960
<v Speaker 1>people who are on the internet, I mean they're familiar

0:25:18.000 --> 0:25:20.879
<v Speaker 1>with this because the videos from these have popped up

0:25:20.920 --> 0:25:23.720
<v Speaker 1>all over the place. I mean, YouTube's got entire channels

0:25:23.720 --> 0:25:26.480
<v Speaker 1>devoted to Russian dash camp village tell us all about

0:25:26.480 --> 0:25:29.240
<v Speaker 1>it for those of us who lag behind. So uh,

0:25:29.480 --> 0:25:32.439
<v Speaker 1>it's what it sounds like. It's a camera that a

0:25:32.560 --> 0:25:35.360
<v Speaker 1>driver would mount to their car in such a way

0:25:35.400 --> 0:25:38.200
<v Speaker 1>as to record what's going on, like the forward view

0:25:38.480 --> 0:25:41.240
<v Speaker 1>of what that they would see when they're behind the wheel.

0:25:41.840 --> 0:25:44.679
<v Speaker 1>Often it's not mounted directly on the dashboard. It's actually

0:25:45.040 --> 0:25:48.959
<v Speaker 1>the ones I saw were more frequently mounted on the mirror,

0:25:49.000 --> 0:25:52.520
<v Speaker 1>the rear view mirror, and would would hang either next

0:25:52.520 --> 0:25:55.560
<v Speaker 1>to it or underneath that and and be up against

0:25:55.600 --> 0:25:59.000
<v Speaker 1>the windshield. But the idea is that in Russia there's

0:25:59.080 --> 0:26:04.520
<v Speaker 1>a deep distrust in government and in the police, and

0:26:04.520 --> 0:26:09.520
<v Speaker 1>and there's a a very deep belief that corruption uh

0:26:09.680 --> 0:26:14.600
<v Speaker 1>completely permeates those institutions, and so there are a lot

0:26:14.640 --> 0:26:18.680
<v Speaker 1>of Russian drivers. In fact, Al Jazeera in November two

0:26:18.720 --> 0:26:21.200
<v Speaker 1>thousand and twelve said that it estimated there were about

0:26:21.200 --> 0:26:25.080
<v Speaker 1>one million people in Russia have installed these dashboard camps.

0:26:25.080 --> 0:26:27.119
<v Speaker 1>And the whole point is so that they can have

0:26:27.320 --> 0:26:30.720
<v Speaker 1>a record of anything that happens while they are operating

0:26:30.760 --> 0:26:34.560
<v Speaker 1>their vehicle, so that they can use that in any

0:26:35.200 --> 0:26:36.919
<v Speaker 1>case that would go to court that they would be

0:26:36.920 --> 0:26:40.199
<v Speaker 1>involved in. For example, if you're driving down highway in

0:26:40.280 --> 0:26:44.280
<v Speaker 1>Russia and an official government car cuts you off or

0:26:44.280 --> 0:26:47.120
<v Speaker 1>bumps into you, you would want to have footage of

0:26:47.160 --> 0:26:49.440
<v Speaker 1>that so that if you were brought to court by

0:26:49.440 --> 0:26:53.240
<v Speaker 1>this official. You could say I'm not guilty of this,

0:26:53.240 --> 0:26:56.240
<v Speaker 1>this car ran into me, and in fact i've seen

0:26:56.280 --> 0:27:00.320
<v Speaker 1>footage of that, of that kind of instance. But they've

0:27:00.359 --> 0:27:02.640
<v Speaker 1>also used it for other reasons too, because it's not

0:27:02.680 --> 0:27:04.720
<v Speaker 1>just the government that tends to get up to a

0:27:04.760 --> 0:27:10.000
<v Speaker 1>little shady stuff in Russia. There are people who will

0:27:10.040 --> 0:27:13.520
<v Speaker 1>attempt to fake getting hit by a car so that

0:27:13.560 --> 0:27:17.800
<v Speaker 1>they can uh then sue someone and try and essentially

0:27:17.800 --> 0:27:20.000
<v Speaker 1>they're trying to extort you for money. It's not even

0:27:20.000 --> 0:27:22.160
<v Speaker 1>to get to the point where they're trying to get insurance.

0:27:22.200 --> 0:27:25.119
<v Speaker 1>They're just trying to extort money from you. There's a

0:27:25.200 --> 0:27:28.040
<v Speaker 1>video that I plan on on linking to on the

0:27:28.080 --> 0:27:31.440
<v Speaker 1>forward thinking Facebook and Twitter feeds, so be on the

0:27:31.480 --> 0:27:34.720
<v Speaker 1>lookout for it. There's a video of this car where

0:27:34.800 --> 0:27:37.919
<v Speaker 1>there's a man standing in the road. The guy driving

0:27:37.920 --> 0:27:41.600
<v Speaker 1>the car comes to a complete stop and he's stopped

0:27:41.640 --> 0:27:44.000
<v Speaker 1>in front of the guy who's just standing there. The

0:27:44.000 --> 0:27:46.720
<v Speaker 1>guy who is staying there looks at the car, then

0:27:46.840 --> 0:27:50.199
<v Speaker 1>slowly leans over and essentially lays on the hood of

0:27:50.200 --> 0:27:53.520
<v Speaker 1>the car for a second, then slowly lowers himself to

0:27:53.520 --> 0:27:55.840
<v Speaker 1>the ground and then limps off, claiming that he was

0:27:55.920 --> 0:27:58.240
<v Speaker 1>hit by the car it was. I mean, it's so

0:27:58.359 --> 0:28:01.479
<v Speaker 1>obviously not a guy getting by a car. It is.

0:28:01.920 --> 0:28:04.879
<v Speaker 1>It is. I mean, it's comical. It's so badly done.

0:28:05.000 --> 0:28:06.679
<v Speaker 1>And the fact that the guy caught the whole thing

0:28:06.720 --> 0:28:09.879
<v Speaker 1>on camera shows that he could, you know, dispute this

0:28:10.119 --> 0:28:13.560
<v Speaker 1>entirely saying I didn't if anything, I can sue this

0:28:13.600 --> 0:28:16.000
<v Speaker 1>guy for running into my car because my car was

0:28:16.000 --> 0:28:20.160
<v Speaker 1>at a complete stop when he laid on my my car. Yeah. Well,

0:28:20.200 --> 0:28:23.560
<v Speaker 1>I mean this is clearly a good idea, even in

0:28:23.600 --> 0:28:27.199
<v Speaker 1>a place where if you totally trust the government and

0:28:27.240 --> 0:28:30.439
<v Speaker 1>don't fear corruption at all, it would just help settle

0:28:30.480 --> 0:28:33.040
<v Speaker 1>private traffic disputes. You know, you get into a wreck

0:28:33.119 --> 0:28:36.040
<v Speaker 1>with somebody else and it's you're both saying I wasn't

0:28:36.040 --> 0:28:38.320
<v Speaker 1>at fault. Well, if you have it on tape, and

0:28:38.480 --> 0:28:40.960
<v Speaker 1>it's easier to say, well, you know, then according to

0:28:40.960 --> 0:28:43.920
<v Speaker 1>this footage, you know this car or this party was

0:28:43.960 --> 0:28:47.200
<v Speaker 1>at fault. Uh Yeah, And and that is used quite

0:28:47.200 --> 0:28:49.680
<v Speaker 1>a bit in Russia. They also use it because, uh,

0:28:49.800 --> 0:28:53.480
<v Speaker 1>they're often very treacherous driving conditions in Russia in parts

0:28:53.480 --> 0:28:56.200
<v Speaker 1>where uh you know, in the winter, where the roads

0:28:56.240 --> 0:28:59.200
<v Speaker 1>get really icy, they need to be able to if

0:28:59.200 --> 0:29:02.440
<v Speaker 1>there's an accident, show what exactly happened, so that way,

0:29:02.520 --> 0:29:04.680
<v Speaker 1>you know, when it comes to insurance, you can claim

0:29:04.720 --> 0:29:08.040
<v Speaker 1>the right thing. Also, they use it because insurance companies

0:29:08.040 --> 0:29:12.400
<v Speaker 1>can sometimes withhold payments uh and say that, oh no,

0:29:12.560 --> 0:29:14.920
<v Speaker 1>that that didn't happen the way you said it. And

0:29:14.960 --> 0:29:16.320
<v Speaker 1>when you have a record of it, then you can

0:29:16.360 --> 0:29:19.520
<v Speaker 1>say no, you owe me money because based upon my policy,

0:29:20.080 --> 0:29:24.440
<v Speaker 1>this is all covered. Uh. That's also to capture events

0:29:24.480 --> 0:29:27.880
<v Speaker 1>on like road rage things like that, um, all drunk

0:29:28.000 --> 0:29:31.320
<v Speaker 1>driving accidents. I mean, it's it's pretty dark stuff. Now

0:29:31.360 --> 0:29:34.400
<v Speaker 1>that there are some great dash cam videos that are

0:29:34.400 --> 0:29:39.760
<v Speaker 1>out there that capture really wonderful, little sweet moments. I'm

0:29:39.760 --> 0:29:42.200
<v Speaker 1>not you know, so it's nice that we can see

0:29:42.240 --> 0:29:44.720
<v Speaker 1>some stuff outher that's not just the nastiest part of

0:29:44.800 --> 0:29:47.320
<v Speaker 1>humanity right there. There are a lot of videos. I

0:29:47.360 --> 0:29:49.760
<v Speaker 1>saw one that was just a montage of them, and

0:29:49.800 --> 0:29:53.240
<v Speaker 1>I'd say about half of all the videos where cars

0:29:53.280 --> 0:29:55.040
<v Speaker 1>that would stop in the middle of the road turn

0:29:55.080 --> 0:29:57.280
<v Speaker 1>on the emergency blinkers so the driver could get out

0:29:57.280 --> 0:30:00.840
<v Speaker 1>and help an elderly person cross the street because they

0:30:00.840 --> 0:30:04.080
<v Speaker 1>were they couldn't move they because the traffic was so strong,

0:30:04.160 --> 0:30:06.520
<v Speaker 1>and they would get out and put themselves at risk

0:30:06.600 --> 0:30:08.240
<v Speaker 1>to help someone get across the street, and then they

0:30:08.320 --> 0:30:10.480
<v Speaker 1>get back in their car and drive off. So they're

0:30:10.520 --> 0:30:13.320
<v Speaker 1>about half the videos were of that. So and then

0:30:13.360 --> 0:30:16.120
<v Speaker 1>there's some once in a lifetime events that we would

0:30:16.160 --> 0:30:18.680
<v Speaker 1>not have seen if it weren't for the fact that

0:30:18.760 --> 0:30:21.640
<v Speaker 1>there were Russian dash camps capturing it. Are you talking

0:30:21.680 --> 0:30:24.200
<v Speaker 1>about something falling out of the sky, I'm talking about

0:30:24.200 --> 0:30:27.640
<v Speaker 1>the chelia Bensk media. Is that what you're talking about. Yeah,

0:30:27.680 --> 0:30:32.120
<v Speaker 1>so this was a meteor that was it was spectacular.

0:30:32.600 --> 0:30:36.000
<v Speaker 1>You know the videos of this meteor that that the

0:30:36.080 --> 0:30:38.560
<v Speaker 1>videos were fake? Yeah, sure, yeah, well it looked like

0:30:38.560 --> 0:30:41.560
<v Speaker 1>a science fiction film. So yeah, yeah, this fireball flying

0:30:41.600 --> 0:30:44.560
<v Speaker 1>over Russia. Uh. And there were videos taken not just

0:30:44.720 --> 0:30:48.320
<v Speaker 1>from dash camps but also from mobile devices as well.

0:30:48.720 --> 0:30:53.520
<v Speaker 1>But the meteor flew over Russia and exploded over the

0:30:53.600 --> 0:30:58.160
<v Speaker 1>Cheliabinsk Oblast, which caused a massive shock wave that spread

0:30:58.200 --> 0:31:02.240
<v Speaker 1>out so far that building in six different surrounding cities

0:31:02.360 --> 0:31:06.240
<v Speaker 1>suffered damage. Seven thousand two buildings in total were damaged

0:31:06.320 --> 0:31:09.840
<v Speaker 1>by that shock wave. Mostly it was stuff like windows

0:31:10.040 --> 0:31:13.400
<v Speaker 1>shattering because the shock wave was so so powerful, But

0:31:13.520 --> 0:31:16.160
<v Speaker 1>we would not have seen nearly as much footage of

0:31:16.240 --> 0:31:18.200
<v Speaker 1>that if it weren't for the fact that these dash

0:31:18.240 --> 0:31:21.400
<v Speaker 1>cams exist in that people upload the video footage to YouTube.

0:31:22.480 --> 0:31:27.760
<v Speaker 1>I foresee that things like this will become popular in

0:31:27.840 --> 0:31:31.000
<v Speaker 1>places other than Russia. I mean, it's such a good idea.

0:31:31.120 --> 0:31:34.280
<v Speaker 1>I can't imagine why you wouldn't want to do that.

0:31:34.680 --> 0:31:39.040
<v Speaker 1>In the United States, you occasionally encounter some law enforcement

0:31:39.120 --> 0:31:41.640
<v Speaker 1>officials who are not so keen on the idea of

0:31:41.800 --> 0:31:45.680
<v Speaker 1>video cameras being turned on them. That's a very that's

0:31:45.720 --> 0:31:47.880
<v Speaker 1>a very general way of saying that there are there's

0:31:48.000 --> 0:31:51.560
<v Speaker 1>a a great deal of resistance in some communities among

0:31:51.840 --> 0:31:55.680
<v Speaker 1>some law enforcement officials from the thought of citizens being

0:31:55.760 --> 0:31:58.680
<v Speaker 1>able to shoot video of anything that's going on. The

0:31:58.760 --> 0:32:02.160
<v Speaker 1>eVols police that that Seattle project that I had mentioned

0:32:02.160 --> 0:32:04.240
<v Speaker 1>a minute ago, this is going to equip at least

0:32:04.280 --> 0:32:06.479
<v Speaker 1>a dozen officers with a wearable camera for a year

0:32:06.560 --> 0:32:08.720
<v Speaker 1>long trial and uh. And the reason is that the

0:32:09.000 --> 0:32:12.600
<v Speaker 1>Seattle Police Department has gotten complaints of brutality recently and

0:32:13.000 --> 0:32:15.719
<v Speaker 1>of other wrongdoings and um, and they decided as as

0:32:15.760 --> 0:32:19.080
<v Speaker 1>a protective measure, to put these cameras on their officers

0:32:19.160 --> 0:32:20.600
<v Speaker 1>and send them out into the world so that they

0:32:20.640 --> 0:32:22.760
<v Speaker 1>could say, no, really, I was doing my job. This

0:32:22.920 --> 0:32:25.120
<v Speaker 1>is the job that I was doing. And hopefully, if

0:32:25.240 --> 0:32:27.800
<v Speaker 1>you know, should anything terrible happen, it will work the

0:32:27.880 --> 0:32:32.080
<v Speaker 1>other way as well. But right, right, so, I agree.

0:32:32.160 --> 0:32:34.880
<v Speaker 1>I think that the dash cam is a good idea

0:32:34.920 --> 0:32:36.760
<v Speaker 1>in the sense that it will cut down on a

0:32:36.880 --> 0:32:40.240
<v Speaker 1>lot of the shenanigans that happen, or at least will

0:32:40.360 --> 0:32:43.520
<v Speaker 1>allow a wronged party the chance to prove that they

0:32:43.600 --> 0:32:46.360
<v Speaker 1>in fact were the wronged party. Uh. It may not

0:32:46.520 --> 0:32:49.600
<v Speaker 1>prevent those incidents, but if it helps a person get

0:32:49.920 --> 0:32:53.480
<v Speaker 1>insurance or prove that they were not at fault in

0:32:53.560 --> 0:32:56.719
<v Speaker 1>a particular situation, I think that's a great thing. Um.

0:32:56.960 --> 0:32:59.320
<v Speaker 1>I think that it's going to you know, in America,

0:32:59.520 --> 0:33:02.840
<v Speaker 1>I think it's tricky. We've got this this sense that

0:33:03.800 --> 0:33:09.080
<v Speaker 1>uh we have. It's this this individuality, independence, privacy thing

0:33:09.160 --> 0:33:10.960
<v Speaker 1>that's all wrapped up together in a sense of what

0:33:11.200 --> 0:33:13.680
<v Speaker 1>it is to be American, and the idea of having

0:33:13.760 --> 0:33:17.520
<v Speaker 1>cameras all around tends to make at least a certain

0:33:17.600 --> 0:33:21.720
<v Speaker 1>segment of the population uneasy. Yeah. Well, they may have

0:33:21.880 --> 0:33:27.640
<v Speaker 1>a point, um, because we're I can only imagine that

0:33:27.840 --> 0:33:30.520
<v Speaker 1>this is going to increase I mean, I I don't

0:33:30.600 --> 0:33:34.480
<v Speaker 1>see anything that's telling me, well, but within five years

0:33:34.560 --> 0:33:36.880
<v Speaker 1>we'll have fewer cameras were a back off. I mean,

0:33:37.240 --> 0:33:40.920
<v Speaker 1>this is going to increase in every direction from everything

0:33:41.000 --> 0:33:44.040
<v Speaker 1>I can tell. Both more people are going to be having,

0:33:44.560 --> 0:33:48.960
<v Speaker 1>you know, recording ready personal devices, but we're all these

0:33:49.000 --> 0:33:52.760
<v Speaker 1>cities are adding more CCTV cameras. I was reading about, Um,

0:33:53.400 --> 0:33:57.120
<v Speaker 1>the CCTV industry is preparing for a big boom in

0:33:57.240 --> 0:34:00.520
<v Speaker 1>the wake of the Boston bombings because they were so

0:34:00.640 --> 0:34:03.800
<v Speaker 1>instrumental in helping catch the right well both were in

0:34:04.080 --> 0:34:08.040
<v Speaker 1>in the Boston Marathon bombings. Both public CCTV cameras and

0:34:08.480 --> 0:34:13.160
<v Speaker 1>private recording devices were huge in catching the guys who

0:34:13.239 --> 0:34:16.239
<v Speaker 1>did it, Like you saw, within just a few days

0:34:16.320 --> 0:34:19.879
<v Speaker 1>those images came out, and I remember thinking at the time, like, wow,

0:34:20.360 --> 0:34:23.520
<v Speaker 1>I mean there's just so much being recorded that, like

0:34:23.760 --> 0:34:27.160
<v Speaker 1>we randomly got images of these guys. Nobody was trying

0:34:27.280 --> 0:34:30.239
<v Speaker 1>to record them, right, these huge sweeping crowd shots and

0:34:30.320 --> 0:34:33.759
<v Speaker 1>just and we were like, oh no, that dude, Yeah yeah, yeah, yeah,

0:34:33.920 --> 0:34:36.279
<v Speaker 1>And uh, I mean, not only are we going to

0:34:36.360 --> 0:34:40.000
<v Speaker 1>see a lot more cameras deployed. And I agree with you, Joe,

0:34:40.160 --> 0:34:42.520
<v Speaker 1>that that trend is not going to slow down. It's,

0:34:42.640 --> 0:34:45.520
<v Speaker 1>if anything, it's going to increase quite a bit. But

0:34:45.680 --> 0:34:50.120
<v Speaker 1>we also have the technology now, the facial recognition technology.

0:34:50.200 --> 0:34:53.480
<v Speaker 1>These are algorithms, software algorithms that are built sometimes firmware

0:34:53.560 --> 0:34:56.719
<v Speaker 1>algorithms that are built directly into cameras. More frequently it's

0:34:56.719 --> 0:34:58.520
<v Speaker 1>built into the back end. But it can be in

0:34:58.600 --> 0:35:00.759
<v Speaker 1>either case. It can be in the device itself, or

0:35:00.800 --> 0:35:03.319
<v Speaker 1>it can be in whatever is processing the video feed

0:35:04.120 --> 0:35:07.759
<v Speaker 1>that can go in and start to identify individuals. Now

0:35:07.800 --> 0:35:10.320
<v Speaker 1>you have to create a database for that to work. Obviously,

0:35:10.440 --> 0:35:12.960
<v Speaker 1>you can't just point a camera that's you know, at

0:35:13.000 --> 0:35:15.719
<v Speaker 1>someone's face and then they automatically the camera somehow knows

0:35:15.760 --> 0:35:19.000
<v Speaker 1>who that person is. But you could develop a database

0:35:19.080 --> 0:35:21.319
<v Speaker 1>of people and uh and the way the camera does

0:35:21.400 --> 0:35:24.880
<v Speaker 1>this essentially divides your face into quadrants and it starts

0:35:24.960 --> 0:35:28.120
<v Speaker 1>to look for points of similarity between your face and

0:35:28.239 --> 0:35:30.520
<v Speaker 1>whatever faces are in the database, and if it matches

0:35:30.560 --> 0:35:34.160
<v Speaker 1>a certain percentage of a certainty, it will go ahead

0:35:34.280 --> 0:35:37.120
<v Speaker 1>and at least suggest an identity. If not, just go

0:35:37.200 --> 0:35:39.239
<v Speaker 1>ahead and a sign and identity of that face. So,

0:35:39.360 --> 0:35:41.800
<v Speaker 1>like like a visual fingerprint, you know something that you

0:35:41.880 --> 0:35:44.120
<v Speaker 1>don't have to you don't have to have touched anything.

0:35:44.160 --> 0:35:46.880
<v Speaker 1>You could have been wearing your fancy fancy robber gloves

0:35:46.960 --> 0:35:49.200
<v Speaker 1>and still get caught, right, because it's it's mostly looking

0:35:49.239 --> 0:35:51.839
<v Speaker 1>at things like the distance of your you know, your

0:35:51.920 --> 0:35:55.160
<v Speaker 1>eyes from other parts of your face, or how your

0:35:55.400 --> 0:35:58.200
<v Speaker 1>chin is shaped, that kind of stuff, and it's designed

0:35:58.360 --> 0:36:02.880
<v Speaker 1>to be able to extrapolate that information based upon whichever

0:36:02.960 --> 0:36:05.719
<v Speaker 1>direction your face is facing. So even if you're not

0:36:05.800 --> 0:36:09.680
<v Speaker 1>looking head on into the camera, a good facial recognition

0:36:09.719 --> 0:36:12.799
<v Speaker 1>algorithm can at least come up with suggestions of who

0:36:12.880 --> 0:36:15.200
<v Speaker 1>that person might be, assuming that again, that the person

0:36:15.320 --> 0:36:17.040
<v Speaker 1>is in the database. We see this all the time

0:36:17.440 --> 0:36:20.920
<v Speaker 1>on social media sites like Facebook and Google Plus. They

0:36:21.000 --> 0:36:23.719
<v Speaker 1>have that that face tagging technology in there, to the

0:36:23.760 --> 0:36:26.359
<v Speaker 1>point where it'll start suggesting people like you you want

0:36:26.360 --> 0:36:28.960
<v Speaker 1>to tag a picture, and often the very first name

0:36:29.000 --> 0:36:31.080
<v Speaker 1>that pops up is the person that you wanted to tag,

0:36:31.239 --> 0:36:34.760
<v Speaker 1>because it's comparing that face against all the other tags

0:36:34.800 --> 0:36:37.359
<v Speaker 1>that you have made that appear in your friends list,

0:36:37.680 --> 0:36:40.440
<v Speaker 1>and then starts to extrapolate from that, and you know,

0:36:40.560 --> 0:36:42.440
<v Speaker 1>if it's not that person, you just type in whoever

0:36:42.520 --> 0:36:46.160
<v Speaker 1>it is, and then that gets added to the database. Sure, well,

0:36:46.480 --> 0:36:48.120
<v Speaker 1>you can you can. You can opt out of this

0:36:48.520 --> 0:36:51.839
<v Speaker 1>on Facebook and Google Plus for now anyway and tell

0:36:51.920 --> 0:36:54.919
<v Speaker 1>it not to create that that algorithm, that specific number

0:36:55.040 --> 0:36:57.200
<v Speaker 1>for you that says, you know, this is this is

0:36:57.239 --> 0:36:59.560
<v Speaker 1>how my face looks? Is your face? Man? Yeah? Yeah.

0:36:59.640 --> 0:37:03.480
<v Speaker 1>When I see these technologies, I wonder exactly how good

0:37:03.560 --> 0:37:07.000
<v Speaker 1>are they? I mean, can they tell the difference between

0:37:07.160 --> 0:37:10.400
<v Speaker 1>Mick Jagger and Don k Nots. Have you ever noticed

0:37:10.480 --> 0:37:15.480
<v Speaker 1>how similar they look whenever they when prancing on stage?

0:37:15.560 --> 0:37:18.520
<v Speaker 1>They were almost identical? Or or or can they tell

0:37:18.560 --> 0:37:22.520
<v Speaker 1>the difference between Natalie Portman and Kira Knightley. Uh yeah,

0:37:22.600 --> 0:37:26.200
<v Speaker 1>I can't. I don't which which one, Which one was

0:37:26.239 --> 0:37:29.600
<v Speaker 1>in which one was in parts of the Caribbean. I

0:37:29.640 --> 0:37:33.160
<v Speaker 1>don't know. Okay, but those are the two that look

0:37:33.200 --> 0:37:35.919
<v Speaker 1>really similar, right, I didn't make that up? Maybe maybe

0:37:35.960 --> 0:37:37.600
<v Speaker 1>to you they're they're they're both a little bit elfin.

0:37:37.719 --> 0:37:41.040
<v Speaker 1>It's like sure, but there Don Knots and Mick Jagger

0:37:41.160 --> 0:37:44.759
<v Speaker 1>definitely you know, separated birth. But you know, you don't

0:37:44.800 --> 0:37:46.799
<v Speaker 1>believe me, Go look this up after the podcast. There

0:37:46.880 --> 0:37:49.000
<v Speaker 1>there are there are a lot of instances of people

0:37:49.040 --> 0:37:51.680
<v Speaker 1>who look similar. But the thing about the computer algorithm

0:37:51.760 --> 0:37:54.160
<v Speaker 1>is it can get really really specific, like looking at

0:37:54.680 --> 0:37:57.239
<v Speaker 1>the position of your ears on your head, and you

0:37:57.400 --> 0:37:59.480
<v Speaker 1>you know, things that are going to remain the same

0:37:59.560 --> 0:38:01.719
<v Speaker 1>unless you had some sort of you know, you could

0:38:01.760 --> 0:38:03.719
<v Speaker 1>have plastic surgery that alters the way you look and

0:38:03.800 --> 0:38:07.520
<v Speaker 1>that would mess up the algorithm. Ort least algorithm possibly

0:38:07.560 --> 0:38:10.520
<v Speaker 1>wouldn't recognize you based upon whatever you had done. And

0:38:10.800 --> 0:38:12.960
<v Speaker 1>when it comes down to things like you know, identical twins,

0:38:13.040 --> 0:38:15.680
<v Speaker 1>can it can it tell one twin apart from the other?

0:38:15.800 --> 0:38:19.720
<v Speaker 1>Probably not, I mean unless there are enough subtle differences

0:38:19.800 --> 0:38:21.239
<v Speaker 1>for the computer to be able to pick up on it.

0:38:21.360 --> 0:38:24.640
<v Speaker 1>Keeping in mind, the resolution on these cameras isn't always

0:38:24.800 --> 0:38:28.919
<v Speaker 1>that incredibly sharp. You know, facial recognition software is getting

0:38:28.960 --> 0:38:30.760
<v Speaker 1>better and better, but you still need a high resolution

0:38:30.840 --> 0:38:33.239
<v Speaker 1>camera to really take advantage of it. Well, the resolution

0:38:33.360 --> 0:38:35.160
<v Speaker 1>on the cameras plays a role even if you're not

0:38:35.320 --> 0:38:38.280
<v Speaker 1>using facial recation, if you're just looking at it. Lots

0:38:38.320 --> 0:38:40.239
<v Speaker 1>of the cameras that are deployed right now are not

0:38:40.600 --> 0:38:44.600
<v Speaker 1>HD cameras, and they, uh, they might play some sort

0:38:44.640 --> 0:38:46.839
<v Speaker 1>of deterrent role. But the problem is once you get

0:38:46.880 --> 0:38:48.840
<v Speaker 1>your hands on the footage, a lot of times it's like,

0:38:48.960 --> 0:38:52.839
<v Speaker 1>well it's a guy with a hat on, which again

0:38:53.000 --> 0:38:54.640
<v Speaker 1>is one of those things like if you've got someone

0:38:54.680 --> 0:38:56.960
<v Speaker 1>who's watching the footage live, then they can respond to

0:38:57.040 --> 0:38:59.760
<v Speaker 1>it in real time, which you know, that's one deterrent.

0:39:00.120 --> 0:39:01.960
<v Speaker 1>But if you're talking about using it as a means

0:39:02.040 --> 0:39:06.600
<v Speaker 1>to pursue someone legally, then obviously the resolution it plays

0:39:06.640 --> 0:39:08.680
<v Speaker 1>a huge role. And and not only that, but the

0:39:08.760 --> 0:39:10.520
<v Speaker 1>camera angle and the duration and all that kind of

0:39:10.600 --> 0:39:12.560
<v Speaker 1>because we can't we can't zoom in and turn it

0:39:12.640 --> 0:39:16.000
<v Speaker 1>around the way that they can on police procedurals, right right, No, yeah,

0:39:16.200 --> 0:39:21.279
<v Speaker 1>zoom and enhanced. Zoom and enhanced does not work. Yeah,

0:39:21.360 --> 0:39:27.480
<v Speaker 1>well the old every procedural ever since. Um. But anyway,

0:39:27.680 --> 0:39:31.440
<v Speaker 1>the the big fear I think that that folks who

0:39:31.520 --> 0:39:34.239
<v Speaker 1>are really concerned with this trend, the big fear they

0:39:34.320 --> 0:39:36.760
<v Speaker 1>have is that we're going to have this huge amount

0:39:36.880 --> 0:39:39.440
<v Speaker 1>of this huge number of cameras out there, even more

0:39:39.520 --> 0:39:41.239
<v Speaker 1>than we already do, and it's going to be a

0:39:41.280 --> 0:39:45.120
<v Speaker 1>combination of the ones that are mounted on the side

0:39:45.160 --> 0:39:47.640
<v Speaker 1>of buildings, the ones that are inside businesses, the ones

0:39:47.680 --> 0:39:50.239
<v Speaker 1>that are on dashboards, the ones that cops are wearing,

0:39:50.680 --> 0:39:53.160
<v Speaker 1>and all the ones that we have at our disposal.

0:39:53.360 --> 0:39:56.000
<v Speaker 1>The phones and the Google Glass and all the other

0:39:56.120 --> 0:39:59.160
<v Speaker 1>kind of stuff, and and in traffic, and all of

0:39:59.200 --> 0:40:04.160
<v Speaker 1>these cameras could be streaming or uploading video to some

0:40:04.520 --> 0:40:08.520
<v Speaker 1>sort of Internet server. We're looking ahead in the future here.

0:40:08.560 --> 0:40:10.880
<v Speaker 1>This is the dark version, right. So you've got all

0:40:10.960 --> 0:40:13.200
<v Speaker 1>this video going into a server. It's more video than

0:40:13.239 --> 0:40:16.120
<v Speaker 1>any person could ever watch because you're you're getting so

0:40:16.239 --> 0:40:19.000
<v Speaker 1>many different streams, all in real time. Obviously, no one

0:40:19.080 --> 0:40:20.759
<v Speaker 1>could keep an eye on all of this. But if

0:40:20.800 --> 0:40:24.920
<v Speaker 1>you designed really really powerful algorithms that could identify people

0:40:25.239 --> 0:40:28.360
<v Speaker 1>and only that, but also get triggered for certain instances,

0:40:28.560 --> 0:40:31.960
<v Speaker 1>things that when this sort of situation happens, log it,

0:40:32.400 --> 0:40:34.839
<v Speaker 1>or when this person shows up, log it right then

0:40:34.840 --> 0:40:37.600
<v Speaker 1>now if if they're a registered sex offender for example, Yeah,

0:40:37.640 --> 0:40:43.000
<v Speaker 1>so then you've got this global always on I that's

0:40:43.040 --> 0:40:47.880
<v Speaker 1>watching everything and logging anything of note. Uh And and

0:40:48.320 --> 0:40:51.080
<v Speaker 1>who decides what is of note versus what isn't. That's

0:40:51.080 --> 0:40:53.680
<v Speaker 1>a big question. That's the big fear. And the thing

0:40:53.800 --> 0:40:57.000
<v Speaker 1>is is that the technology that we've got is heading

0:40:57.040 --> 0:41:00.840
<v Speaker 1>in such a direction that that sort of future is possible.

0:41:01.040 --> 0:41:04.600
<v Speaker 1>Not necessarily that it's going to happen, but that assuming

0:41:04.680 --> 0:41:06.720
<v Speaker 1>that we are able to keep up with the trends

0:41:06.800 --> 0:41:10.080
<v Speaker 1>that we have now, assuming we're able to continue improving

0:41:10.120 --> 0:41:14.920
<v Speaker 1>the algorithms and the equipment and deployment and somehow have

0:41:15.120 --> 0:41:17.759
<v Speaker 1>the capacity to handle that's this much data. That's a

0:41:17.800 --> 0:41:20.440
<v Speaker 1>big question. Well, I mean it seems to me, and

0:41:20.600 --> 0:41:23.479
<v Speaker 1>you feel free to disagree. The question is not whether

0:41:23.640 --> 0:41:26.160
<v Speaker 1>we can do it, it's just whether we're going to

0:41:26.320 --> 0:41:29.160
<v Speaker 1>exactly That's that's where the real question comes in. The

0:41:29.239 --> 0:41:32.520
<v Speaker 1>technology is going to can be done right, It's happening

0:41:32.680 --> 0:41:34.719
<v Speaker 1>right now. The nice thing is that being aware of

0:41:34.800 --> 0:41:37.200
<v Speaker 1>that means that you can be part of the conversation

0:41:37.400 --> 0:41:40.360
<v Speaker 1>and talk about what are the benefits, what are the

0:41:40.680 --> 0:41:44.400
<v Speaker 1>the things that are are detrimental to society in general

0:41:44.560 --> 0:41:47.360
<v Speaker 1>and your peace of mind in particular, That those are

0:41:47.400 --> 0:41:50.719
<v Speaker 1>important conversations. Yeah, it's interesting because when the idea of

0:41:50.800 --> 0:41:54.680
<v Speaker 1>surveillance comes up, I feel this tug from both sides.

0:41:55.120 --> 0:41:57.200
<v Speaker 1>I don't want to be paranoid, but I don't want

0:41:57.200 --> 0:42:00.560
<v Speaker 1>to be naive, and I don't know how to feel

0:42:00.600 --> 0:42:02.719
<v Speaker 1>about things like this. On one hand, I'm like, I mean,

0:42:02.920 --> 0:42:07.120
<v Speaker 1>come on, I mean, the government is not actually like

0:42:07.320 --> 0:42:10.279
<v Speaker 1>trying to track me and stuff like that. They they're

0:42:10.440 --> 0:42:14.120
<v Speaker 1>they're bigger fish. Yeah, like why are there trying to

0:42:14.160 --> 0:42:17.440
<v Speaker 1>see me undressed or something like who cares? Why would they?

0:42:17.920 --> 0:42:20.719
<v Speaker 1>I just don't see that happening. But on the other hand,

0:42:21.560 --> 0:42:24.320
<v Speaker 1>and again, you know, I don't want to be a sucker,

0:42:24.560 --> 0:42:28.920
<v Speaker 1>like you should be cautious. And there are there are

0:42:29.040 --> 0:42:34.319
<v Speaker 1>probably some people who might have really legitimate fears like um, well,

0:42:34.440 --> 0:42:37.320
<v Speaker 1>like like activists if you're if you're protesting something and

0:42:37.400 --> 0:42:40.719
<v Speaker 1>your government doesn't really appreciate you doing that, and and

0:42:40.800 --> 0:42:44.360
<v Speaker 1>you might think that the protest is important. Well, a

0:42:44.400 --> 0:42:47.520
<v Speaker 1>lot of it. It depends on the orientation of the government, right,

0:42:47.760 --> 0:42:51.000
<v Speaker 1>Like I mean, are you scared of this government now? Well,

0:42:51.080 --> 0:42:53.680
<v Speaker 1>I mean the same infrastructure will be there with whatever

0:42:53.800 --> 0:42:58.200
<v Speaker 1>government exists in forty years. Just that is that government

0:42:58.320 --> 0:43:01.319
<v Speaker 1>something we shouldn't worry about. And there there there are,

0:43:01.560 --> 0:43:05.400
<v Speaker 1>um there are suits in progress that are discussing this

0:43:05.600 --> 0:43:08.200
<v Speaker 1>kind of data and and this kind of information. The

0:43:08.560 --> 0:43:11.759
<v Speaker 1>a C. L u As of Maden got involved in

0:43:11.800 --> 0:43:15.080
<v Speaker 1>a lawsuit in California about those automatic license plate recognition

0:43:15.200 --> 0:43:18.960
<v Speaker 1>scanners that are are in some some police cruisers that

0:43:19.040 --> 0:43:21.759
<v Speaker 1>can scan you know, hundreds of license plates per minute

0:43:21.840 --> 0:43:24.600
<v Speaker 1>going at pretty high speeds through a parking lot um

0:43:24.880 --> 0:43:27.080
<v Speaker 1>and there was concerned that some of the data was

0:43:27.160 --> 0:43:29.920
<v Speaker 1>being kept for too long or um or that it

0:43:30.000 --> 0:43:33.000
<v Speaker 1>could it could hypothetically be used to create these records

0:43:33.080 --> 0:43:36.600
<v Speaker 1>of what normal citizens with no records of wrong wrongdoing

0:43:36.719 --> 0:43:40.080
<v Speaker 1>or doing and where they're going well, And you know,

0:43:40.719 --> 0:43:43.520
<v Speaker 1>I think it's important for us just to remember that

0:43:43.800 --> 0:43:47.560
<v Speaker 1>that while we're painting this sort of Orwellian future that's

0:43:47.640 --> 0:43:51.560
<v Speaker 1>very frightening, obviously, that's not it's not a foregone conclusion

0:43:51.640 --> 0:43:54.120
<v Speaker 1>that that's going to be what the future is, and

0:43:54.280 --> 0:43:58.520
<v Speaker 1>that if we do pay very close attention and we're careful,

0:43:58.840 --> 0:44:01.800
<v Speaker 1>we can have all the benefits of this technology without

0:44:02.080 --> 0:44:06.120
<v Speaker 1>the you know, the the scary, dark science fiction dystopia

0:44:06.280 --> 0:44:09.760
<v Speaker 1>version as well. Lots of people don't like to mention

0:44:09.800 --> 0:44:11.800
<v Speaker 1>the benefits because I don't know, I mean, there's a

0:44:11.840 --> 0:44:16.920
<v Speaker 1>cynical tendency we have to to play up, you know.

0:44:17.239 --> 0:44:21.000
<v Speaker 1>But I mean they do actually solve crimes. It's debatable

0:44:21.040 --> 0:44:24.839
<v Speaker 1>to what extent, but I mean they helped surveillance help

0:44:24.920 --> 0:44:28.440
<v Speaker 1>to catch the Boston bombers. So I mean, clearly there

0:44:28.480 --> 0:44:31.200
<v Speaker 1>are a lot of sides to this issue. It's very

0:44:31.280 --> 0:44:34.200
<v Speaker 1>complex and We don't mean to suggest that it's it's

0:44:34.520 --> 0:44:36.719
<v Speaker 1>at all something you can boil down and solve in

0:44:36.840 --> 0:44:40.719
<v Speaker 1>a in a simple podcast, but these are are good

0:44:40.800 --> 0:44:43.360
<v Speaker 1>questions to ask. It's good to think about as we

0:44:43.480 --> 0:44:46.040
<v Speaker 1>move towards the future and make sure that we have

0:44:46.320 --> 0:44:50.320
<v Speaker 1>the best possible positioning for everything from our rights of

0:44:50.480 --> 0:44:54.680
<v Speaker 1>privacy UH to our our personal safety, and to make

0:44:54.760 --> 0:44:57.160
<v Speaker 1>sure that we have those checks and balances in place.

0:44:57.280 --> 0:44:59.320
<v Speaker 1>These are all things that we need to think about.

0:44:59.440 --> 0:45:01.920
<v Speaker 1>So it's good to have this discussion. And guys, if

0:45:02.000 --> 0:45:05.120
<v Speaker 1>you have any suggestions for future episodes of forward Thinking,

0:45:05.560 --> 0:45:08.040
<v Speaker 1>please right in let us know. You can send us

0:45:08.040 --> 0:45:12.080
<v Speaker 1>an email. Our address is fub thinking at discovery dot

0:45:12.160 --> 0:45:14.600
<v Speaker 1>com or go to fw thinking dot com. That's our

0:45:14.640 --> 0:45:18.440
<v Speaker 1>website where we have all the videos, the blogs, the podcasts.

0:45:18.719 --> 0:45:21.360
<v Speaker 1>We've got links to our social media stuff there. So

0:45:22.160 --> 0:45:24.120
<v Speaker 1>come visit us, be part of the conversation. Tell us

0:45:24.160 --> 0:45:26.239
<v Speaker 1>what you're excited about, tell us what you want to

0:45:26.320 --> 0:45:28.160
<v Speaker 1>know more about. We definitely want to hear from you,

0:45:28.480 --> 0:45:34.600
<v Speaker 1>and we will talk to you again really soon. For

0:45:34.760 --> 0:45:37.520
<v Speaker 1>more on this topic and the future of technology, visit

0:45:37.600 --> 0:45:51.160
<v Speaker 1>forward thinking dot com. Brought to you by Toyota let's

0:45:51.239 --> 0:45:51.880
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