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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:04,162 WWW.MY-SUBS.CO 1 00:00:13,200 --> 00:00:14,500 What do you say, Larry? 2 00:00:14,700 --> 00:00:16,900 The eagle, the shark? 3 00:00:16,900 --> 00:00:19,500 Oh, I think the eagle. More stability. 4 00:00:19,500 --> 00:00:21,400 Let's go, bro. Show us how it's done. 5 00:00:25,900 --> 00:00:29,600 Ah, that close... 6 00:00:29,600 --> 00:00:31,000 yeah, all right. Watch this. 7 00:00:31,000 --> 00:00:32,300 All right, go for it. 8 00:00:34,600 --> 00:00:35,400 Oh, yeah. 9 00:00:39,500 --> 00:00:41,100 Oh! Nice! 10 00:00:41,100 --> 00:00:42,200 Nice throw, brother. 11 00:00:42,200 --> 00:00:43,000 Sweet, right? 12 00:00:43,000 --> 00:00:45,400 You know, Don, you and I are very alike. 13 00:00:45,400 --> 00:00:49,300 We're both focused on large, possibly unattainable goals-- 14 00:00:49,300 --> 00:00:52,000 me trying to explain all the workings of the universe... 15 00:00:52,000 --> 00:00:53,000 Yeah. What am I doing? 16 00:00:53,000 --> 00:00:56,400 Trying to take all the unworkable workings and put them in jail. 17 00:00:56,400 --> 00:00:57,900 Good luck to both of us. 18 00:00:59,300 --> 00:01:00,100 Eppes. 19 00:01:03,500 --> 00:01:05,000 Yeah. All right. 20 00:01:05,500 --> 00:01:07,300 Okay, I'm on my way. 21 00:01:07,300 --> 00:01:08,600 Sorry, guys, got to go. 22 00:01:08,600 --> 00:01:10,800 You know, work. I'll see you, all right? 23 00:01:12,700 --> 00:01:15,000 There he goes, back to the unattainable. 24 00:01:21,800 --> 00:01:25,700 Hi. They killed the father when he tried to resist. 25 00:01:25,700 --> 00:01:27,100 Seems just like the third robbery. 26 00:01:27,100 --> 00:01:28,800 It's the same guys-- ski masks 27 00:01:28,800 --> 00:01:31,900 physical descriptions match the other home invasions. 28 00:01:32,500 --> 00:01:34,900 This puts us up to seven in six months 29 00:01:34,900 --> 00:01:36,700 so they're coming at faster intervals. 30 00:01:36,700 --> 00:01:38,400 They go after any specific items? 31 00:01:38,400 --> 00:01:39,200 Yeah. 32 00:01:39,700 --> 00:01:42,800 Jewelry, paintings, high-end furnishings. 33 00:01:54,200 --> 00:01:56,300 The deceased is Dr. Richard Bloom. 34 00:01:56,300 --> 00:01:58,600 He and his wife arrived home with their 15-year-old son, Jordan 35 00:01:58,600 --> 00:02:00,300 after a school track meet. 36 00:02:00,300 --> 00:02:02,400 Three guys rushed them at the front door. 37 00:02:02,400 --> 00:02:03,700 Bound them up with duct tape. 38 00:02:04,500 --> 00:02:05,200 Did you see this? 39 00:02:05,200 --> 00:02:06,100 Yeah. 40 00:02:07,400 --> 00:02:10,400 The son put up a struggle, and one of the burglars hit him. 41 00:02:10,400 --> 00:02:12,000 The father tried to stop them 42 00:02:12,000 --> 00:02:13,900 and they threw him in the pool 43 00:02:13,900 --> 00:02:18,300 hands and feet still bound, and laughed while he drowned. 44 00:02:22,600 --> 00:02:24,600 Daughter's name is Jill. She was at a friend's house. 45 00:02:24,600 --> 00:02:26,000 Her friend's mom brought her back home 46 00:02:26,000 --> 00:02:28,700 saw something was wrong. She called 911. 47 00:02:29,200 --> 00:02:30,400 Daughter didn't see anything. 48 00:02:30,400 --> 00:02:31,500 Thank god. 49 00:02:31,800 --> 00:02:34,300 Right now, someone has to tell her her daddy's dead. 50 00:02:40,600 --> 00:02:42,500 We all use math every day 51 00:02:42,900 --> 00:02:44,000 to predict weather 52 00:02:44,700 --> 00:02:45,700 to tell time 53 00:02:47,700 --> 00:02:48,700 to handle money. 54 00:02:50,800 --> 00:02:53,900 Math is more than formulas and equations. 55 00:02:55,100 --> 00:02:56,200 It's logic... 56 00:02:58,300 --> 00:02:59,500 it's rationality. 57 00:03:00,500 --> 00:03:02,200 It's using your mind 58 00:03:02,200 --> 00:03:04,600 to solve the biggest mysteries that we know. 59 00:03:05,400 --> 00:03:09,400 Sync: YTET-СÐÜ Corrections: jh26 www.forom.com 60 00:03:12,600 --> 00:03:14,500 So, we got seven home invasions, right? 61 00:03:14,500 --> 00:03:18,000 This is before LAPD asked for our help. This is after. 62 00:03:18,000 --> 00:03:19,900 What we know is that they-they do have weapons 63 00:03:19,900 --> 00:03:20,900 although they haven't fired them 64 00:03:20,900 --> 00:03:22,400 so we have no useful forensics. 65 00:03:22,400 --> 00:03:24,300 And they all live in exclusive neighborhoods 66 00:03:24,300 --> 00:03:27,100 they all have high-end, expensive valuables in their homes 67 00:03:27,100 --> 00:03:28,700 and they all have security systems 68 00:03:28,700 --> 00:03:31,300 but the attacks take place just as they're coming in 69 00:03:31,300 --> 00:03:33,300 and the alarms have been turned off. 70 00:03:35,800 --> 00:03:36,500 Who are they? 71 00:03:37,400 --> 00:03:38,400 They're both fathers. 72 00:03:38,400 --> 00:03:41,200 They both fought back to protect their families. 73 00:03:41,200 --> 00:03:42,100 I mean, we can't even figure out 74 00:03:42,100 --> 00:03:43,600 how these guys are picking the homes. 75 00:03:43,600 --> 00:03:46,400 No. So far, there's no commonalities between the families. 76 00:03:46,400 --> 00:03:48,900 You know, other than the fact that they're wealthy. 77 00:03:48,900 --> 00:03:50,100 Let's try data mining. 78 00:03:50,100 --> 00:03:51,700 It's a system for analyzing information. 79 00:03:51,700 --> 00:03:55,800 Army intelligence uses that to identify possible terrorist attacks. 80 00:03:55,800 --> 00:03:58,600 I design an algorithm based on these crimes. 81 00:03:58,600 --> 00:04:02,000 The algorithm then takes the data and identifies correlations. 82 00:04:02,000 --> 00:04:04,000 All right. I'll get you everything we have on the families. 83 00:04:04,000 --> 00:04:06,800 Yeah, where they live, where they go to school, shop, dine out. 84 00:04:06,800 --> 00:04:08,800 Who cleans their pools, who fixes their cars. 85 00:04:08,800 --> 00:04:10,500 I'll need more than that. 86 00:04:10,900 --> 00:04:12,100 More than everything on the families? 87 00:04:12,100 --> 00:04:14,300 More... on everything. 88 00:04:14,300 --> 00:04:17,900 All crime stats for the past six months for the entire county. 89 00:04:18,300 --> 00:04:20,400 Wouldn't that much data make it harder to find 90 00:04:20,400 --> 00:04:21,600 what you're looking for? 91 00:04:21,600 --> 00:04:22,400 The opposite. 92 00:04:22,400 --> 00:04:24,200 More data means more chances to find something. 93 00:04:24,200 --> 00:04:26,900 It's like when you're trying to put together a jigsaw puzzle. 94 00:04:26,900 --> 00:04:30,000 You start with a few pieces, and the rest are in the box. 95 00:04:30,000 --> 00:04:33,000 All the pieces you have should eventually fit your puzzle. 96 00:04:33,000 --> 00:04:35,800 All the pieces and nothing more come in the box. 97 00:04:35,800 --> 00:04:37,200 But with a real-world problem 98 00:04:37,200 --> 00:04:39,500 that's just like trying to solve a jigsaw puzzle 99 00:04:39,500 --> 00:04:41,800 when all the pieces you need are mixed in with pieces 100 00:04:41,800 --> 00:04:43,500 from many other puzzles. 101 00:04:43,800 --> 00:04:47,100 Now, when you grab a few pieces from the box, most won't fit. 102 00:04:47,100 --> 00:04:49,300 You got to go through the entire box 103 00:04:49,300 --> 00:04:52,200 and pull out the pieces that fit your puzzle. 104 00:04:52,800 --> 00:04:57,600 The algorithm goes through it all, pulls out what fits together. 105 00:04:57,600 --> 00:05:00,400 All right. Well, I'll get you our reports, Okay? 106 00:05:00,900 --> 00:05:01,800 Hey, guys. 107 00:05:02,200 --> 00:05:05,400 Hey, I've got a complex data analysis problem. 108 00:05:05,400 --> 00:05:08,000 Either of you free? Well, both of you? I'd prefer both. 109 00:05:08,000 --> 00:05:11,000 I... well, I have some, a couple of hours. 110 00:05:11,000 --> 00:05:13,500 Charlie, have you seen the guest lecture schedule for this week? 111 00:05:13,500 --> 00:05:16,000 No, I haven't. Why? Oh, don't... damn it. 112 00:05:16,000 --> 00:05:19,000 Don't tell me I've gotten stuck hosting another reception. 113 00:05:19,000 --> 00:05:20,100 No. 114 00:05:20,100 --> 00:05:24,300 Some guy's giving a talk on the asymptotics of random matrices. 115 00:05:24,300 --> 00:05:26,500 Hey, you've done some distinguished work there, haven't you? 116 00:05:26,500 --> 00:05:27,900 The guest lecturer's name is... 117 00:05:27,900 --> 00:05:30,100 What the hell is that son of a bitch doing here? 118 00:05:30,100 --> 00:05:31,800 To whom are you referring? 119 00:05:33,600 --> 00:05:34,500 Marshall Penfield. 120 00:05:34,500 --> 00:05:36,800 It's the guy--the guy that's giving the talk. 121 00:05:36,800 --> 00:05:38,100 Oh, really? 122 00:05:38,600 --> 00:05:41,900 Marshall and I--we attended Princeton together. 123 00:05:42,400 --> 00:05:45,300 Every chance he got, he slammed my work. 124 00:05:46,000 --> 00:05:49,100 And the only keg party I ever threw--he stole the keg. 125 00:05:49,100 --> 00:05:50,100 Marshall. 126 00:05:50,100 --> 00:05:52,400 Hey, Eppesy. You coming to the talk? 127 00:05:52,400 --> 00:05:53,800 It's gonna be a good one. 128 00:05:53,800 --> 00:05:55,900 Well, I just heard about it. Ever so excited. 129 00:05:55,900 --> 00:05:58,100 Wondering what your subject could be. 130 00:05:58,100 --> 00:06:00,700 Oh, same old same old. 131 00:06:00,700 --> 00:06:02,100 Hi. How you doing? 132 00:06:03,100 --> 00:06:04,700 You found a new approach? 133 00:06:05,200 --> 00:06:07,000 Only because I recall your earlier attacks 134 00:06:07,000 --> 00:06:09,400 on my analysis of plancharel measures. 135 00:06:09,400 --> 00:06:11,200 You made an ass of yourself. 136 00:06:11,200 --> 00:06:14,000 Yes, but unlike you, I continued to work in the field. 137 00:06:14,000 --> 00:06:16,300 And I've made some interesting findings. 138 00:06:17,000 --> 00:06:18,300 Elaborate. 139 00:06:19,300 --> 00:06:21,300 A flaw in your work. 140 00:06:22,500 --> 00:06:24,400 I'll spare you the details. I'll save it for the talk 141 00:06:24,400 --> 00:06:27,100 but, bottom line--your big breakthrough 142 00:06:27,100 --> 00:06:28,800 the Eppes convergence? 143 00:06:29,500 --> 00:06:30,500 It's wrong. 144 00:06:33,300 --> 00:06:34,400 It was nice meeting you. 145 00:06:40,300 --> 00:06:44,400 These things-- most of them have been in our families for years. 146 00:06:46,100 --> 00:06:48,500 I don't care about any of this. 147 00:06:48,500 --> 00:06:52,900 But Richard--he was only trying to protect our son. 148 00:06:52,900 --> 00:06:55,700 I know, Mrs. Bloom. I'm so sorry. 149 00:06:55,700 --> 00:06:58,700 He just couldn't bear to see people hurt. 150 00:06:58,700 --> 00:07:00,200 It's why he became a doctor. 151 00:07:00,200 --> 00:07:02,300 I just think if maybe you could tell me 152 00:07:02,300 --> 00:07:04,200 anything about one of these pieces 153 00:07:04,200 --> 00:07:06,500 it might help me find your husband's killer. 154 00:07:09,900 --> 00:07:13,100 There's a lamp. It was, uh made by Dirk Van Erp. 155 00:07:13,800 --> 00:07:15,500 It's one of a pair. 156 00:07:17,000 --> 00:07:20,600 Richard got the first one for me as a wedding present 157 00:07:21,300 --> 00:07:24,100 and he spent years trying to find the other one. 158 00:07:24,700 --> 00:07:25,900 He finally found it. 159 00:07:27,400 --> 00:07:30,800 He said they belonged together, just like we did. 160 00:07:33,300 --> 00:07:35,900 So, this lamp's worth, like, $100,000. 161 00:07:35,900 --> 00:07:38,500 Which, I imagine, you can't just sell just anywhere. 162 00:07:38,500 --> 00:07:39,500 Yeah, that's what I'm thinking. 163 00:07:39,500 --> 00:07:41,900 We should check into whatever markets deal with this kind of stuff 164 00:07:41,900 --> 00:07:43,500 see if there's any buzz. 165 00:07:43,900 --> 00:07:46,700 Penfield hates me. It drove him crazy. 166 00:07:46,700 --> 00:07:50,100 I became the youngest person to ever publish a major paper 167 00:07:50,100 --> 00:07:52,600 and when I gave my first seminar on the Eppes convergence 168 00:07:52,600 --> 00:07:55,200 he shows up with a button that says, uh 169 00:07:55,200 --> 00:07:56,700 "don't believe the hype." 170 00:07:57,300 --> 00:07:59,400 Okay. Well, that's a little confrontational. 171 00:07:59,400 --> 00:08:01,000 But, I mean, you were a star in your field. 172 00:08:01,000 --> 00:08:02,900 You-you got to expect this kind of attention. 173 00:08:02,900 --> 00:08:04,700 This man has singled me out. 174 00:08:04,700 --> 00:08:07,100 No. Your status has singled you out. 175 00:08:07,100 --> 00:08:09,800 I mean, people-people are scrutinizing your work 176 00:08:09,800 --> 00:08:11,600 because of your reputation. 177 00:08:11,600 --> 00:08:13,700 You must understand-- that's why he's doing it. 178 00:08:13,700 --> 00:08:15,300 To ruin my reputation. 179 00:08:15,300 --> 00:08:17,900 The Eppes convergence made me. 180 00:08:17,900 --> 00:08:21,000 If it's wrong, then what am I? 181 00:08:21,000 --> 00:08:25,100 Well, you're a talented, theoretician with an ego problem? 182 00:08:25,100 --> 00:08:26,100 I'm sorry? 183 00:08:32,300 --> 00:08:33,300 Hello? 184 00:08:33,300 --> 00:08:34,600 Yeah, I'll be right there. 185 00:08:35,800 --> 00:08:36,800 I got to go. 186 00:08:36,800 --> 00:08:37,500 Okay. 187 00:08:37,500 --> 00:08:40,900 The computer lab says the algorithm for Don's case kicked out some findings. 188 00:08:40,900 --> 00:08:41,900 Yeah. 189 00:08:43,700 --> 00:08:47,900 Well, wisdom and genius --rarely present in equal abundance. 190 00:08:51,300 --> 00:08:53,400 I don't remember where I got this lamp. 191 00:08:53,400 --> 00:08:55,300 Probably some estate sale. 192 00:08:55,300 --> 00:08:56,300 Wrong answer. 193 00:08:56,300 --> 00:08:58,300 Hands behind your back right now. 194 00:08:58,300 --> 00:08:59,000 What's going on? 195 00:08:59,000 --> 00:09:00,200 You know what's going on. 196 00:09:00,200 --> 00:09:01,600 You can tell us where you got it here 197 00:09:01,600 --> 00:09:03,400 or you can tell us down at our office. 198 00:09:03,400 --> 00:09:06,000 That's after we walk you through your show room full of customers. 199 00:09:06,000 --> 00:09:07,300 Wait, wait. Okay. 200 00:09:07,300 --> 00:09:08,500 Where did you get it? 201 00:09:10,400 --> 00:09:13,000 I was introduced to this guy a few months ago. 202 00:09:13,000 --> 00:09:14,500 His name is Roley. 203 00:09:14,500 --> 00:09:18,300 He told me he got the lamp from a bankruptcy procedure. 204 00:09:18,300 --> 00:09:20,000 But you knew better, didn't you? 205 00:09:35,900 --> 00:09:37,600 Colby. 206 00:09:37,600 --> 00:09:39,600 Your brother is starting to freak me out a little bit. 207 00:09:39,600 --> 00:09:40,800 What, just a little? 208 00:09:41,400 --> 00:09:42,400 Hey. What's up? 209 00:09:43,100 --> 00:09:46,800 Calendars are wonderful analog mathematical tools. 210 00:09:46,800 --> 00:09:49,900 They create a universal timeline for societies 211 00:09:49,900 --> 00:09:52,200 by interpreting astrophysical movement. 212 00:09:52,200 --> 00:09:55,000 What are you talking about? 213 00:09:55,000 --> 00:09:57,200 Calendars aren't based on easily divisible factors. Okay? 214 00:09:57,200 --> 00:09:59,500 You know, they originally tried to make them like that. 215 00:09:59,800 --> 00:10:02,200 360 days divides quite evenly 216 00:10:02,200 --> 00:10:04,300 but it doesn't match with what you see in the night sky 217 00:10:04,300 --> 00:10:08,300 so ancient calendars would add an extra month every eight years 218 00:10:08,300 --> 00:10:09,800 or tack on five extra days. 219 00:10:09,800 --> 00:10:12,000 What, these were all the dates from the home invasions? 220 00:10:12,000 --> 00:10:12,700 Right. 221 00:10:12,700 --> 00:10:15,100 Once I got the data mining algorithm up and running 222 00:10:15,100 --> 00:10:18,600 I started a fourier analyses on the chronologies-- the dates, the times. 223 00:10:18,600 --> 00:10:21,300 We've actually been looking to try and find a timeline pattern, Charlie 224 00:10:21,300 --> 00:10:22,600 but we can't come up with anything. 225 00:10:22,600 --> 00:10:25,800 Because you weren't looking in the same way my analysis does. 226 00:10:25,800 --> 00:10:28,400 The red days are known attacks. 227 00:10:28,400 --> 00:10:31,100 The blue days are when the analysis says there should be attacks 228 00:10:31,100 --> 00:10:32,400 but there aren't. 229 00:10:32,400 --> 00:10:34,400 And what we must ask ourselves is: 230 00:10:34,400 --> 00:10:35,600 How do you know there aren't? 231 00:10:35,600 --> 00:10:38,700 No homes were hit on those dates, right? 232 00:10:39,000 --> 00:10:43,300 Let's assume that these same guys commit other types of crimes. 233 00:10:43,600 --> 00:10:45,800 You mean, not just home invasions. 234 00:10:46,000 --> 00:10:47,600 So, you're saying, what, if we find new crimes 235 00:10:47,600 --> 00:10:49,100 maybe we find new evidence? 236 00:10:49,100 --> 00:10:51,100 I think you should be looking for crimes 237 00:10:51,100 --> 00:10:53,100 committed by gunmen that fit the same description 238 00:10:53,100 --> 00:10:55,900 that occur in these days that I've marked blue. 239 00:10:55,900 --> 00:10:57,700 And Charlie, the pattern. 240 00:10:57,700 --> 00:11:00,000 Can it tell us when the next attack would be? 241 00:11:01,100 --> 00:11:03,800 Patterns like this are-are clearer in hindsight. 242 00:11:03,800 --> 00:11:06,000 I mean, they're not really used as-as predictors. 243 00:11:06,000 --> 00:11:07,600 I mean, there's an erratic frequency here. 244 00:11:07,600 --> 00:11:10,600 I mean, you know, there's several robberies a couple days apart 245 00:11:10,600 --> 00:11:13,900 and then there's just one or two hits, and then a shorter break. 246 00:11:15,000 --> 00:11:16,500 Just point us in a direction. 247 00:11:17,100 --> 00:11:18,600 This is my best guess. 248 00:11:19,000 --> 00:11:23,900 It's possible that the next attack could occur in three days. 249 00:11:32,600 --> 00:11:34,200 I checked the incident reports on the days 250 00:11:34,200 --> 00:11:36,300 where Charlie said there might have been related crimes. 251 00:11:36,300 --> 00:11:40,000 I found three carjackings done by three guys in ski masks 252 00:11:40,000 --> 00:11:42,500 that match the physical descriptions of our home invaders. 253 00:11:42,500 --> 00:11:44,700 Our guys go for the high-end goods, though, Megan. 254 00:11:44,700 --> 00:11:47,800 The cars stolen were a Mercedes, Range Rover and a Porsche. 255 00:11:47,800 --> 00:11:49,000 Any of them found? 256 00:11:49,000 --> 00:11:51,700 No, which means either they were repainted and given new VINs 257 00:11:51,700 --> 00:11:53,200 or they were sold outside the area. 258 00:11:53,200 --> 00:11:55,400 These guys seem to know how to move expensive items. 259 00:11:55,400 --> 00:11:56,200 And there's something else. 260 00:11:56,200 --> 00:11:59,500 We've never had a gun fired in any of the home invasions... 261 00:11:59,500 --> 00:12:00,700 there's a gunshot in the carjacking. 262 00:12:00,700 --> 00:12:02,900 Yes, there was. At the Porsche robbery 263 00:12:02,900 --> 00:12:03,800 one of the members of the crew 264 00:12:03,800 --> 00:12:05,900 shot a round into the air to scare the owner. 265 00:12:05,900 --> 00:12:07,600 We find that bullet, we might be able to make a match. 266 00:12:07,600 --> 00:12:09,600 You want to find a bullet fired straight up? 267 00:12:09,600 --> 00:12:10,500 It's not gonna be easy. 268 00:12:10,500 --> 00:12:11,300 It's not impossible. 269 00:12:11,300 --> 00:12:13,300 Just find the cops who responded to the call. 270 00:12:13,300 --> 00:12:16,100 They would've done a neighborhood canvas to id the round that was fired. 271 00:12:16,100 --> 00:12:17,900 We should be talking to the people whose cars were jacked 272 00:12:17,900 --> 00:12:20,000 running down the lead from the antique store owner. 273 00:12:20,000 --> 00:12:21,000 What's the fence's name? 274 00:12:21,000 --> 00:12:22,300 Roley. I'm on it. 275 00:12:24,900 --> 00:12:26,100 A bad time? 276 00:12:26,100 --> 00:12:27,600 No, come on in. 277 00:12:27,600 --> 00:12:31,000 I'm just sitting here, waiting for a new run of the data mining program. 278 00:12:32,500 --> 00:12:34,100 Emergence theory. 279 00:12:34,800 --> 00:12:37,200 The whole is greater than the sum of its parts. 280 00:12:37,200 --> 00:12:39,500 Individually, ants have limited capabilities. 281 00:12:39,500 --> 00:12:43,700 But the colony can be viewed as a single complex organism. 282 00:12:44,400 --> 00:12:47,400 But you guys aren't here to talk about ants, are you? 283 00:12:47,400 --> 00:12:49,500 No, actually, we have a little bet. 284 00:12:50,000 --> 00:12:53,600 David here seems to think that you might be able to help us find a needle in a haystack. 285 00:12:53,600 --> 00:12:55,600 A bullet in Brentwood, to be exact. 286 00:12:55,600 --> 00:12:58,600 Checking the time periods where you thought there might be related crimes 287 00:12:58,600 --> 00:13:01,100 we found three carjackings-- one of them, there was gunfire. 288 00:13:01,100 --> 00:13:04,300 We find that bullet, we might be able to match it to a gun. 289 00:13:04,300 --> 00:13:07,300 This bullet, was it fired parallel to the ground or at an angle? 290 00:13:07,300 --> 00:13:09,600 According to the crime report, into the air. 291 00:13:09,600 --> 00:13:11,600 We're not sure of the exact angle. 292 00:13:11,900 --> 00:13:13,300 What type of gun? 293 00:13:14,700 --> 00:13:17,300 Uh, we're actually not certain about that, either. 294 00:13:17,300 --> 00:13:19,700 Okay, we're looking at at least two variables. 295 00:13:19,700 --> 00:13:22,500 Any handgun's going to fall into a certain range of muzzle velocity. 296 00:13:22,500 --> 00:13:24,200 Now, we're assuming that the gun was pointed up 297 00:13:24,200 --> 00:13:25,900 not exactly vertical? Okay. 298 00:13:25,900 --> 00:13:28,500 So that'll give us a radius of... 299 00:13:28,500 --> 00:13:31,500 Two to three thousand feet. Roughly half a mile. 300 00:13:32,000 --> 00:13:34,800 Only there are a lot of assumptions built into these calculations 301 00:13:34,800 --> 00:13:37,300 but i suppose that can't be helped. 302 00:13:38,300 --> 00:13:42,200 Agent Sinclair, agent Granger, this is Dr. Penfield. 303 00:13:42,500 --> 00:13:44,500 Sorry to interrupt. 304 00:13:44,500 --> 00:13:46,900 I just heard the familiar staccato clacking of chalk 305 00:13:46,900 --> 00:13:48,600 I thought it might be something interesting. 306 00:13:48,600 --> 00:13:50,900 You're still coming to my presentation, right? 307 00:13:50,900 --> 00:13:54,400 I might get something wrong about hermitian random matrices. 308 00:13:54,400 --> 00:13:55,900 You know, I've moved on 309 00:13:55,900 --> 00:13:58,300 to sequences with orthogonal symmetry, man. 310 00:13:58,300 --> 00:13:59,600 Oh, really? 311 00:13:59,600 --> 00:14:02,100 Well, that's funny, 'cause that's the exact same thing. 312 00:14:02,100 --> 00:14:04,300 Resonances in quantum chaotic systems. 313 00:14:04,300 --> 00:14:06,000 That's a simplistic analysis. 314 00:14:06,000 --> 00:14:08,700 You always were testy when challenged. 315 00:14:08,700 --> 00:14:10,600 You know, I was talking about that with Amita, um... 316 00:14:10,600 --> 00:14:11,700 You were, were you? 317 00:14:12,600 --> 00:14:14,300 Yeah, yeah, last night. 318 00:14:14,300 --> 00:14:16,800 We were hanging out, you know, got a little dinner 319 00:14:16,800 --> 00:14:19,800 long conversation-- that doesn't bother you, does it? 320 00:14:21,100 --> 00:14:23,600 Marshall, do whatever you like. 321 00:14:23,600 --> 00:14:26,800 Just you remember, Amita's a sharp mathematician. 322 00:14:26,800 --> 00:14:28,300 So no matter how hard you try 323 00:14:28,300 --> 00:14:32,400 you're never gonna get her to believe that this is six inches. 324 00:14:34,400 --> 00:14:37,300 I bet with you that subject's never come up. 325 00:14:38,800 --> 00:14:40,600 Ooh, math fight. 326 00:14:41,600 --> 00:14:44,000 Hey, that was carjacking victim number three. 327 00:14:44,000 --> 00:14:45,600 Just like in the home invasions 328 00:14:45,600 --> 00:14:47,700 these robbers targeted specific items. 329 00:14:47,700 --> 00:14:50,900 They went right for his watch, which was hidden underneath his jacket. 330 00:14:50,900 --> 00:14:54,500 Carjacking victim number two they made give up a $55,000 ring. 331 00:14:54,500 --> 00:14:56,300 All right, so they're being followed, right? 332 00:14:56,300 --> 00:14:57,100 Forced to pull over. 333 00:14:57,100 --> 00:14:57,900 No, no. 334 00:14:57,900 --> 00:15:00,500 Carjacking victim number one locked her keys in her car. 335 00:15:00,500 --> 00:15:02,400 She called AAA on her cell phone 336 00:15:02,400 --> 00:15:04,300 and ten minutes later, these guys showed up. 337 00:15:04,300 --> 00:15:06,200 Victim number two got lost 338 00:15:06,200 --> 00:15:09,500 entered the destination into her navigation system. 339 00:15:09,500 --> 00:15:11,600 And victim number three ran out of gas. 340 00:15:11,600 --> 00:15:15,500 He called his onboard assistance service and spoke to a real operator, 341 00:15:15,500 --> 00:15:19,100 but the robbers got there first with a can of gas. 342 00:15:19,700 --> 00:15:22,100 It's like they're eavesdropping on their cell phones or something. 343 00:15:22,100 --> 00:15:25,600 Maybe, but that doesn't explain their knowledge of their personal possessions. 344 00:15:25,600 --> 00:15:27,800 And they all have different cell phone carriers. 345 00:15:28,500 --> 00:15:30,500 I mean, they're tapping into them somehow, right? 346 00:15:30,500 --> 00:15:33,600 Yeah. The question is, what's the common link? 347 00:15:36,300 --> 00:15:37,600 Just don't push the wrong button 348 00:15:37,600 --> 00:15:40,100 or else we'll be looking for that bullet the old-fashioned way. 349 00:15:40,100 --> 00:15:40,800 It's Okay, all right 350 00:15:40,800 --> 00:15:45,200 Charlie's already programmed the trajectory equations into the calculator. 351 00:15:45,200 --> 00:15:47,400 Yeah, we have the origin point of the shot. 352 00:15:47,400 --> 00:15:51,300 The equations will generate high probability areas for a search. 353 00:15:51,300 --> 00:15:53,900 It's you plugging in those variables that has me worried. 354 00:15:53,900 --> 00:15:55,700 Hey, man, it's only two variables, Okay? 355 00:15:55,700 --> 00:15:58,900 We got muzzle velocity and inclination of the weapon when fired. 356 00:15:58,900 --> 00:15:59,600 I can handle it. 357 00:15:59,600 --> 00:16:02,100 At least I've used a graphing calculator before. 358 00:16:02,100 --> 00:16:03,900 Really? You have? 359 00:16:03,900 --> 00:16:06,300 High school, man. Why? You didn't? 360 00:16:06,900 --> 00:16:08,500 I went to high school in the Bronx. 361 00:16:09,700 --> 00:16:11,500 Get your gear. We found Roley. 362 00:16:11,500 --> 00:16:12,000 Roley? 363 00:16:12,000 --> 00:16:14,800 He's the fence that sold that stolen lamp to the antique store, right? 364 00:16:14,800 --> 00:16:16,200 Yeah, we're setting up a buy. 365 00:16:18,700 --> 00:16:19,800 Hey, Charlie. 366 00:16:19,800 --> 00:16:21,700 Hey. What's going on? 367 00:16:21,700 --> 00:16:24,600 I was doing my work from my, uh, city planning days. 368 00:16:25,300 --> 00:16:29,400 See, I'm taking it all down to the offices that we're leasing now. 369 00:16:30,700 --> 00:16:33,600 You're really starting a consulting company with Stan Fischer, huh? 370 00:16:33,600 --> 00:16:35,600 Why not? You know, I miss work. 371 00:16:35,800 --> 00:16:37,000 Now I can be my own boss and 372 00:16:37,000 --> 00:16:39,200 I can concentrate on the aspects of design and planning 373 00:16:39,200 --> 00:16:41,100 that I always enjoyed, myself. 374 00:16:41,600 --> 00:16:43,000 It's a big investment. 375 00:16:43,000 --> 00:16:44,800 Oh... I have money. 376 00:16:45,400 --> 00:16:48,000 Thanks to you buying this house at the asking price. 377 00:16:48,000 --> 00:16:49,800 So you're not worried about the risk? 378 00:16:50,800 --> 00:16:52,600 well, that's business. 379 00:16:52,600 --> 00:16:54,800 In fact, that's life. 380 00:16:57,000 --> 00:16:59,000 You know, I never really wanted to retire. 381 00:17:00,100 --> 00:17:04,800 But when your mother got sick, there really wasn't much choice. 382 00:17:06,600 --> 00:17:08,200 And now, I have a choice. 383 00:17:10,600 --> 00:17:12,200 I'm really happy for you, dad. 384 00:17:15,900 --> 00:17:16,700 You Okay? 385 00:17:18,900 --> 00:17:22,700 You seem a little, uh... stressed. 386 00:17:23,200 --> 00:17:23,800 Yeah. 387 00:17:26,300 --> 00:17:27,200 Why? What's wrong? 388 00:17:28,500 --> 00:17:31,800 Marshall Penfield, fellow Princeton graduate 389 00:17:32,500 --> 00:17:35,300 has come here to rip apart five years of my work. 390 00:17:36,600 --> 00:17:38,300 And it's made me realize that I 391 00:17:38,300 --> 00:17:41,300 haven't focused on anything new since then. 392 00:17:41,300 --> 00:17:44,700 I've been wasting my time with this stuff for Don. 393 00:17:44,700 --> 00:17:45,700 Oh, come on. 394 00:17:45,700 --> 00:17:47,500 You don't mean wasting your time. 395 00:17:47,500 --> 00:17:48,000 You're right, I don't. 396 00:17:48,000 --> 00:17:51,400 I'm not wasting my time, I'm just... 397 00:17:51,400 --> 00:17:53,400 so easily distracted. 398 00:17:53,400 --> 00:17:56,100 Yeah, well, it's more like, you're easily fascinated. 399 00:17:56,500 --> 00:18:01,800 I need to devote myself to something significant in my field-- 400 00:18:02,200 --> 00:18:04,400 important to other mathematicians. 401 00:18:06,200 --> 00:18:08,100 Yeah, well, you know what I think, Charlie? 402 00:18:08,100 --> 00:18:11,500 I think your life's work should be what you find important. 403 00:18:32,600 --> 00:18:34,400 Are you the lady Jay sent over from his store? 404 00:18:34,400 --> 00:18:35,500 Yeah. 405 00:18:35,500 --> 00:18:38,000 He said you get him some of his best inventory. 406 00:18:38,500 --> 00:18:39,600 I'm Roley. 407 00:18:40,700 --> 00:18:41,600 This here's Timmy. 408 00:18:41,600 --> 00:18:42,300 Hi. 409 00:18:42,300 --> 00:18:45,200 Sorry to make you come out so late, but you know how it is. 410 00:18:45,200 --> 00:18:47,100 Oh, I've been to worse neighborhoods. 411 00:18:51,700 --> 00:18:54,800 So, let's see if we could do a little business. 412 00:18:56,000 --> 00:18:57,700 You, uh, brought money, right? 413 00:18:57,700 --> 00:18:59,700 Oh, I brought better than money. 414 00:18:59,700 --> 00:19:04,500 FBI! FBI! 415 00:19:05,400 --> 00:19:07,100 You stop right there! Stop! 416 00:19:07,100 --> 00:19:07,900 Drop on your knees! 417 00:19:07,900 --> 00:19:09,100 Hands behind your head! 418 00:19:19,400 --> 00:19:20,900 You know where this came from, right? 419 00:19:20,900 --> 00:19:23,100 I'm really not one to ask many questions. 420 00:19:23,100 --> 00:19:25,600 No? Maybe you ought to rub it three times and find out 421 00:19:25,600 --> 00:19:27,000 where it's about to send you. 422 00:19:36,600 --> 00:19:39,700 This is a list of everything that was in your storage unit. 423 00:19:39,700 --> 00:19:40,900 And this is a list of everything 424 00:19:40,900 --> 00:19:43,600 that was stolen from seven home invasions. 425 00:19:43,600 --> 00:19:45,100 They're kind of similar. 426 00:19:45,800 --> 00:19:46,900 I had no part of that. 427 00:19:46,900 --> 00:19:49,900 Having this stuff makes you a part of that. 428 00:19:49,900 --> 00:19:52,300 I'm telling you, I am not that kind of guy. 429 00:19:52,300 --> 00:19:55,400 You got a nice painting or a good piece of period furniture 430 00:19:55,400 --> 00:19:56,800 I can find you a buyer. 431 00:19:56,800 --> 00:19:58,500 Who's not gonna ask too many questions. 432 00:19:58,500 --> 00:19:59,700 That's right. 433 00:19:59,700 --> 00:20:03,600 I find people with money who are interested in deals on luxury items. 434 00:20:03,600 --> 00:20:05,100 That's my niche. 435 00:20:05,100 --> 00:20:07,600 Killing? Not my niche. 436 00:20:08,100 --> 00:20:09,600 Well, how'd you get all this stuff? 437 00:20:09,600 --> 00:20:13,100 It wasn't from any crew, it was just... it was two guys. 438 00:20:13,600 --> 00:20:14,900 And how'd you meet them? 439 00:20:16,100 --> 00:20:21,300 They came up to me at a bar, said they knew me by reputation. 440 00:20:23,100 --> 00:20:26,600 And what makes you think that these guys aren't robbers? 441 00:20:26,600 --> 00:20:29,700 One of them was dressed better than my lawyer. 442 00:20:29,700 --> 00:20:33,300 And the other guy, he was just a total geek. 443 00:20:33,900 --> 00:20:35,500 I'm gonna need their names. 444 00:20:36,100 --> 00:20:37,800 Mr. Brown and Mr. Gray. 445 00:20:38,100 --> 00:20:40,100 That's all I know. 446 00:20:40,600 --> 00:20:42,600 Then I feel sorry for you, Roley. 447 00:20:45,600 --> 00:20:46,800 Wait a minute. 448 00:20:47,500 --> 00:20:51,500 All right, these guys, they're not barehanders, all right? 449 00:20:51,500 --> 00:20:52,400 They're way too business. 450 00:20:52,400 --> 00:20:53,100 How so? 451 00:20:53,100 --> 00:20:56,300 For one thing, they gave me a list, like this one. 452 00:20:56,300 --> 00:20:58,800 With everything they were gonna bring me weeks in advance. 453 00:20:58,800 --> 00:21:01,200 Said it was so I could locate buyers ahead of time. 454 00:21:01,600 --> 00:21:03,500 Roley's description of the men he dealt with 455 00:21:03,500 --> 00:21:05,600 don't match what we have. 456 00:21:05,600 --> 00:21:08,400 So then, we could be looking for five different guys? 457 00:21:08,400 --> 00:21:09,800 Maybe not five different guys 458 00:21:09,800 --> 00:21:11,800 but maybe two guys that case it 459 00:21:11,800 --> 00:21:14,100 and three guys that do the actual robbery. 460 00:21:14,100 --> 00:21:16,200 I'm telling you, the cell phones tie into it. 461 00:21:16,200 --> 00:21:18,700 Yeah, but every single person uses a different service. 462 00:21:18,700 --> 00:21:20,400 And how would they know what's in the homes? 463 00:21:20,400 --> 00:21:21,700 And what about the data mining? 464 00:21:21,700 --> 00:21:22,200 I'm working it. 465 00:21:22,200 --> 00:21:24,100 The analysis finds all kinds of links 466 00:21:24,100 --> 00:21:26,200 and I have to gauge which ones are meaningful. 467 00:21:26,200 --> 00:21:27,500 For instance, the data mining found 468 00:21:27,500 --> 00:21:28,900 that all the victims buy bottled water. 469 00:21:28,900 --> 00:21:30,100 Well, that's meaningless. 470 00:21:30,100 --> 00:21:32,200 When army intelligence tried to use data mining 471 00:21:32,200 --> 00:21:34,200 to spot commonalities between terrorist attacks 472 00:21:34,200 --> 00:21:36,700 one of the people it picked out was Condoleezza Rice. 473 00:21:36,700 --> 00:21:39,200 Okay, so it's thorough, but it's not discriminating? 474 00:21:39,200 --> 00:21:40,500 Whatever you can do, Charlie. 475 00:21:40,500 --> 00:21:42,800 You're the one who said we're talking about three days here. 476 00:21:42,800 --> 00:21:45,400 Yeah, I know. 477 00:22:09,700 --> 00:22:11,900 A variable two-way muzzle velocity. 478 00:22:11,900 --> 00:22:13,900 We're working with a nine millimeter 479 00:22:13,900 --> 00:22:15,100 but these guys like to play rough. 480 00:22:15,100 --> 00:22:16,800 Now, I'm thinking they're packing something stronger. 481 00:22:16,800 --> 00:22:19,900 Yeah, but muzzle velocity changes with the grain of the bullet, anyway. 482 00:22:19,900 --> 00:22:22,300 The heavier the projectile, the slower it goes. 483 00:22:22,300 --> 00:22:23,100 Right. 484 00:22:23,100 --> 00:22:26,000 Okay, let's just say, you're a guy into invading people's homes 485 00:22:26,000 --> 00:22:27,700 and you're getting off on messing them up. 486 00:22:27,700 --> 00:22:28,100 Right. 487 00:22:28,100 --> 00:22:29,400 What's your weapon of choice? 488 00:22:29,400 --> 00:22:32,400 Semi-automatic with a big clip. Lots of stopping power. 489 00:22:32,400 --> 00:22:35,100 .45 acp, 180 grain rounds. 490 00:22:35,100 --> 00:22:37,300 That's a muzzle velocity of 1,200 feet per second. 491 00:22:37,300 --> 00:22:38,900 Oh, yeah, man, plug that one in. 492 00:22:41,000 --> 00:22:44,900 The development of any type of representation theory 493 00:22:44,900 --> 00:22:46,800 is usually split into two stages. 494 00:22:46,800 --> 00:22:51,000 The first is a description of all elementary representations. 495 00:22:51,000 --> 00:22:52,400 The second consists of 496 00:22:52,400 --> 00:22:56,100 constructing certain natural representations of the group 497 00:22:56,100 --> 00:22:58,800 and decomposing them into irreducible ones. 498 00:22:58,800 --> 00:23:02,700 What we see when we get deeper into the Eppes convergence 499 00:23:02,700 --> 00:23:09,000 is a small and, until now, undetectable conceptual roadblock. 500 00:23:09,300 --> 00:23:10,600 It's an expression 501 00:23:10,600 --> 00:23:16,300 floating through these quations like a tiny blood clot 502 00:23:16,600 --> 00:23:21,800 until it lands here, at the infinite-dimensional simplex 503 00:23:22,900 --> 00:23:27,800 which causes a stroke to the entire theory. 504 00:23:32,200 --> 00:23:34,300 Maybe these guys are into revolvers. 505 00:23:34,300 --> 00:23:37,800 You know, a nice little .38, or a .357, maybe. 506 00:23:37,800 --> 00:23:39,800 I'm telling you, man, they're physical 507 00:23:39,800 --> 00:23:41,400 they're pumped, they're flush with cash. 508 00:23:41,400 --> 00:23:45,800 These guys buy a gun, it's going to be a .40 caliber 45 hk. 509 00:23:45,800 --> 00:23:48,300 David, we can talk muzzle velocities all day long. 510 00:23:48,300 --> 00:23:50,900 But if this joker fired straight up, it doesn't matter 511 00:23:50,900 --> 00:23:52,800 because the bullet would have landed right here 512 00:23:52,800 --> 00:23:55,700 within a 50-foot radius of where the guy fired from. 513 00:23:55,700 --> 00:23:56,600 So, the question is: 514 00:23:56,600 --> 00:23:59,500 Do you think it's possible that he actually fired straight? 515 00:23:59,500 --> 00:24:01,500 Yup, I do think it's possible. 516 00:24:01,500 --> 00:24:03,700 Yeah? Based on what? 517 00:24:03,700 --> 00:24:05,900 Based on I just found the bullet. 518 00:24:12,100 --> 00:24:13,100 Charlie? 519 00:24:14,100 --> 00:24:15,600 He does have a valid point 520 00:24:15,600 --> 00:24:19,000 about the end-point process on the one-dimensional lattice. 521 00:24:19,000 --> 00:24:19,900 Right. 522 00:24:20,600 --> 00:24:22,800 Penfield's blood clot to my brain. 523 00:24:23,200 --> 00:24:26,200 Or was it the torpedo in the engine room analogy? I forget. 524 00:24:27,300 --> 00:24:29,400 Hey, Amita, there you are. 525 00:24:29,400 --> 00:24:31,200 You still up for pie n' burger? 526 00:24:31,600 --> 00:24:33,400 Sure, let me grab my stuff. 527 00:24:34,200 --> 00:24:35,100 Hey, Eppesy. 528 00:24:36,300 --> 00:24:39,400 Heard you got a substance abuse problem with lemon meringue. 529 00:24:39,400 --> 00:24:41,400 It's a "gateway" pie, you know. 530 00:24:41,400 --> 00:24:44,100 Why don't you come meet us out front? 531 00:24:44,100 --> 00:24:46,500 You know, there's a whole crowd of people going. 532 00:24:46,800 --> 00:24:48,100 I'll pass. 533 00:24:56,900 --> 00:24:57,700 What's the matter? 534 00:24:57,700 --> 00:25:00,900 I can't make any headway on this FBI case. 535 00:25:01,400 --> 00:25:07,900 And... there's my life's work... going up in flames. 536 00:25:10,500 --> 00:25:12,800 Well, you're spreading yourself really thin. 537 00:25:13,200 --> 00:25:15,100 You're spending a lot of time with Marshall. 538 00:25:15,100 --> 00:25:16,800 He's an interesting thinker. 539 00:25:17,600 --> 00:25:19,600 It's not a big deal, Charlie. 540 00:25:20,100 --> 00:25:23,400 You've got your FBI work, your teaching, your research... 541 00:25:23,400 --> 00:25:25,400 yeah, and you've got your astrophysics work 542 00:25:25,400 --> 00:25:27,400 your work with Dr. Keppler. 543 00:25:27,400 --> 00:25:30,500 I know. I'm focused on my work. 544 00:25:31,600 --> 00:25:34,600 I'm not sure that I want to focus myself socially right now. 545 00:25:36,100 --> 00:25:37,900 I guess I can understand that. 546 00:25:42,600 --> 00:25:44,300 You sure you don't want some pie? 547 00:25:44,300 --> 00:25:49,200 No, I... go eat pie Please. I need to think. 548 00:25:49,700 --> 00:25:50,300 Okay. 549 00:26:04,100 --> 00:26:06,100 Do you two realize what's in here? 550 00:26:06,500 --> 00:26:08,400 Well, in your case, a lot of unanswered voice mails. 551 00:26:08,400 --> 00:26:09,900 I can tell you that. 552 00:26:10,200 --> 00:26:13,000 After 9/11, the FCC mandated that all cell phones 553 00:26:13,000 --> 00:26:16,000 be able to locate people in the event of an emergency. 554 00:26:16,000 --> 00:26:16,500 Oh, right. 555 00:26:16,500 --> 00:26:20,200 That a GPS locator chip has to be put in every new phone by 2005. 556 00:26:20,200 --> 00:26:23,400 And newer phones can be used to track people within a range of 30 feet. 557 00:26:23,400 --> 00:26:25,600 But you're still going to need access to classified data. 558 00:26:25,600 --> 00:26:28,300 Are you saying that these robbers have figured out 559 00:26:28,300 --> 00:26:31,700 how to intercept encrypted material from a military satellite? 560 00:26:31,700 --> 00:26:32,800 No, that's impossible. 561 00:26:32,800 --> 00:26:36,600 Listen, somehow they've gotten that GPS information. 562 00:26:36,600 --> 00:26:38,400 They've gotten into the phones. 563 00:26:38,400 --> 00:26:40,400 But that doesn't explain how they knew who to rob. 564 00:26:40,400 --> 00:26:42,800 Look, this is a two-part problem, Okay? 565 00:26:42,800 --> 00:26:44,900 Part one: How do they know who to rob? 566 00:26:44,900 --> 00:26:47,700 And part two: How do they know where the victims are? 567 00:26:47,700 --> 00:26:51,100 The phone is the key to part two--locating victims. 568 00:26:51,100 --> 00:26:54,400 Part one: How they know who owns what, I still can't tell you. 569 00:26:54,400 --> 00:26:58,000 But you can be positive that all the families will have it in common. 570 00:27:00,000 --> 00:27:01,900 Hey, Charlie, you seen my cell phone? 571 00:27:01,900 --> 00:27:04,000 I been looking all over for it, I can't find... 572 00:27:04,800 --> 00:27:05,700 what are you doing with it? 573 00:27:05,700 --> 00:27:07,600 We'll put it back together. 574 00:27:09,400 --> 00:27:10,700 You can't use one of your own? 575 00:27:10,700 --> 00:27:14,100 Well, I refused to allow the small quiet moments of my life 576 00:27:14,100 --> 00:27:17,600 to be invaded by these devices of distraction. 577 00:27:17,600 --> 00:27:19,100 Which means you don't have one? 578 00:27:19,100 --> 00:27:20,200 And I need mine. 579 00:27:20,200 --> 00:27:22,600 Look, Charlie, I'm not a homebound retiree anymore. 580 00:27:22,600 --> 00:27:23,900 I happen to be starting a new business. 581 00:27:23,900 --> 00:27:26,100 And having a cell phone might come in handy. Right? 582 00:27:26,100 --> 00:27:28,400 Look, you'll have it back in one hour. 583 00:27:28,400 --> 00:27:30,500 Dad, we need to look at your GPS chip. 584 00:27:30,500 --> 00:27:31,900 What do you need to do that for? 585 00:27:31,900 --> 00:27:35,300 Every new phone comes embedded with this tiny chip 586 00:27:35,300 --> 00:27:38,300 that acts as a global positioning receiver. 587 00:27:38,300 --> 00:27:40,300 And it's my theory that these home-invasion robbers 588 00:27:40,300 --> 00:27:42,400 are using them to track their victims. 589 00:27:42,400 --> 00:27:44,000 How would they do it? 590 00:27:44,000 --> 00:27:45,900 Well, a cell phone's essentially a radio. 591 00:27:46,800 --> 00:27:47,600 Whenever it's on 592 00:27:47,600 --> 00:27:50,300 it's sending radio signals to let cell towers know 593 00:27:50,300 --> 00:27:52,500 where the phone is so a person can move 594 00:27:52,500 --> 00:27:56,000 from one cell zone to another without losing a call. 595 00:27:56,000 --> 00:28:00,100 At the same time, the GPS chip receives signals from outer space 596 00:28:00,100 --> 00:28:04,400 specifically, from at least three geosynchronous satellites. 597 00:28:04,400 --> 00:28:07,800 Using the geometric method called "three-dimensional trilateration," 598 00:28:07,800 --> 00:28:10,100 the GPS chip uses the signals from the satellites 599 00:28:10,100 --> 00:28:13,300 to calculate its exact location on earth. 600 00:28:13,700 --> 00:28:16,900 The data generated can be used by police, roadside assistance 601 00:28:16,900 --> 00:28:19,600 emergency services, tracking truck fleets-- 602 00:28:19,600 --> 00:28:22,400 and even lets parents keep tabs on their teenage children. 603 00:28:22,400 --> 00:28:24,300 Ah, it's too "big brother" for me. 604 00:28:24,300 --> 00:28:26,100 I'll stick with my rotary dial-up. 605 00:28:26,100 --> 00:28:27,900 But intercepting these signals is really 606 00:28:27,900 --> 00:28:30,200 beyond the grasp of most criminals. 607 00:28:30,200 --> 00:28:33,300 If all my years of working at urban infrastructure has taught me anything 608 00:28:33,300 --> 00:28:36,600 it's that there's always somebody who gets into the system. 609 00:28:37,900 --> 00:28:41,000 Charlie was right. Three days on the button. 610 00:28:41,000 --> 00:28:44,500 Married couple, 74 and 77 years old. 611 00:28:44,500 --> 00:28:46,900 From the evidence, it looks like the man struggled with the robbers. 612 00:28:46,900 --> 00:28:49,400 Yeah, they beat him to death, they got the woman over here. 613 00:28:49,400 --> 00:28:50,700 They strangled her. 614 00:28:51,400 --> 00:28:53,200 Doesn't look like they put up much of a fight. 615 00:28:54,400 --> 00:28:58,100 They're acting more frequently, and killing more readily. 616 00:29:06,000 --> 00:29:07,700 I am crossing my fingers that this has to be 617 00:29:07,700 --> 00:29:09,200 the bullet from the carjacking. 618 00:29:09,200 --> 00:29:11,300 Not a lot of bullets lying around Brentwood. 619 00:29:11,300 --> 00:29:14,300 No, it's more of a slash-your-throat kind of neighborhood. 620 00:29:14,700 --> 00:29:17,700 Well, we're running the slug through the ATF bullet trap database 621 00:29:17,700 --> 00:29:21,000 hoping to match the gun it was fired from to a previous crime. 622 00:29:22,000 --> 00:29:23,400 We need this lead. 623 00:29:23,800 --> 00:29:27,100 And after eight hits, they're going to think they're invincible. 624 00:29:27,100 --> 00:29:29,200 That we can't catch them. 625 00:29:29,400 --> 00:29:32,300 They're going to be more reckless, more dangerous. 626 00:29:34,600 --> 00:29:35,500 Bingo. 627 00:29:37,000 --> 00:29:37,800 Yeah, I heard on the radio-- 628 00:29:37,800 --> 00:29:40,700 two more people killed by these robbers Don is trying to catch. 629 00:29:40,700 --> 00:29:41,700 Yeah. It's bad. 630 00:29:41,700 --> 00:29:45,600 And the data mining is not yielding any connections you can work with? 631 00:29:45,600 --> 00:29:46,500 Well, it's hard to say. 632 00:29:46,500 --> 00:29:49,200 You know, one commonality that the analysis keeps highlighting 633 00:29:49,200 --> 00:29:49,900 is cell phones. 634 00:29:49,900 --> 00:29:51,600 But, you know, everyone has cell phones. 635 00:29:51,600 --> 00:29:55,500 Then there's a second commonality, that has no defined value. 636 00:29:56,400 --> 00:29:58,800 The algorithm keeps pointing out 637 00:29:58,800 --> 00:30:04,500 that the families all have rare, collectible items. 638 00:30:04,500 --> 00:30:05,500 And all were insured. 639 00:30:05,500 --> 00:30:07,600 You really should get this program to Amita. 640 00:30:07,600 --> 00:30:09,600 She is the best coder we've got. 641 00:30:09,600 --> 00:30:12,100 I don't think this is where the problem is. 642 00:30:12,100 --> 00:30:14,600 And... Amita's off chilling with Penfield. 643 00:30:15,000 --> 00:30:17,900 Well, he is a brilliant mathematician and, I assume 644 00:30:17,900 --> 00:30:19,600 a sparkling conversationalist. 645 00:30:19,600 --> 00:30:21,800 Are you serious? Oh, you're great. 646 00:30:21,800 --> 00:30:24,700 You're just another member of the Penfield fan club. Right? 647 00:30:24,700 --> 00:30:30,100 Well, I do understand his analysis of the Eppes convergence was a bit pointed. 648 00:30:30,500 --> 00:30:32,100 I'll admit, he's a bright fellow. 649 00:30:32,100 --> 00:30:33,900 He's got all sorts of insight. 650 00:30:33,900 --> 00:30:38,700 But he's so full of himself. He's so annoyingly confident. 651 00:30:38,700 --> 00:30:41,400 "Certainly in extending the calculation for S 652 00:30:41,400 --> 00:30:44,300 to the infinite unitary group 653 00:30:44,300 --> 00:30:47,600 it would be obvious to anyone that my genius would mandate-- 654 00:30:47,600 --> 00:30:51,600 upon my death--the inclusion of my brain in the smithsonian." 655 00:30:51,600 --> 00:30:53,600 I would actually prefer someone take my brain 656 00:30:53,600 --> 00:30:57,100 on a road trip like they did with Einstein's. But... 657 00:30:58,500 --> 00:30:59,800 Hey, Charlie. 658 00:30:59,800 --> 00:31:00,700 Hello. 659 00:31:01,800 --> 00:31:04,400 Charlie, Marshall and I went to your office looking for you 660 00:31:04,400 --> 00:31:07,500 and we kind of saw what was on the chalkboard. 661 00:31:08,400 --> 00:31:10,800 Yeah, you had a problem that was of interest to me 662 00:31:10,800 --> 00:31:14,800 because it relates to my main field-set theory. 663 00:31:14,800 --> 00:31:16,500 Oh, well...this is it, isn't it? 664 00:31:16,500 --> 00:31:19,100 This is the same thing right here. 665 00:31:19,100 --> 00:31:19,900 Could be. 666 00:31:21,300 --> 00:31:22,100 Why? 667 00:31:22,600 --> 00:31:26,300 Marshall's new research at Princeton is inset theory 668 00:31:26,300 --> 00:31:28,700 in something he calls "deep current" sets. 669 00:31:29,800 --> 00:31:31,000 What are those? 670 00:31:32,200 --> 00:31:33,200 Chalk. 671 00:31:35,200 --> 00:31:37,700 Connections between groups that are hard to detect 672 00:31:37,700 --> 00:31:41,300 but that affect all the other sets. 673 00:31:43,600 --> 00:31:46,700 Kind of like how currents beneath the ocean surface 674 00:31:46,700 --> 00:31:49,600 can influence the weather patterns in the atmosphere. 675 00:31:51,300 --> 00:31:53,400 There's something underneath we can't see. 676 00:31:57,000 --> 00:31:59,400 Things that seem to have no connection 677 00:31:59,400 --> 00:32:01,700 are all linked by a common factor. 678 00:32:02,300 --> 00:32:04,400 Marshall, have you developed methods of analysis 679 00:32:04,400 --> 00:32:07,000 to help you define the unidentified connections? 680 00:32:07,000 --> 00:32:08,700 Oh, yeah, sure. 681 00:32:09,200 --> 00:32:11,300 Even if I can't tell you where the deep current is 682 00:32:11,300 --> 00:32:12,700 I can tell you where to look. 683 00:32:15,700 --> 00:32:19,500 But, Charlie, all eight families have different insurance companies. 684 00:32:19,500 --> 00:32:23,300 Sure, but the data mining found that there's a powerful connection between the victims 685 00:32:23,300 --> 00:32:24,600 and it's not something we can see. 686 00:32:24,600 --> 00:32:27,900 It's an unseen set, a deep current set. 687 00:32:28,300 --> 00:32:29,900 I'm sure that means something. 688 00:32:29,900 --> 00:32:30,700 Right. 689 00:32:30,700 --> 00:32:33,000 The victims' families all had high-end valuables 690 00:32:33,000 --> 00:32:35,300 like the Dirk Van Erp lamp that you guys tracked down, right? 691 00:32:35,300 --> 00:32:38,600 Right, that the robbers all knew about in advance. 692 00:32:38,600 --> 00:32:41,500 The victims' families all had different insurance companies 693 00:32:41,500 --> 00:32:45,100 but my analysis suggests that the insurance companies have something in common. 694 00:32:45,100 --> 00:32:46,000 So like what? 695 00:32:46,000 --> 00:32:49,300 Well, apparently, when covering rare, high-cost items 696 00:32:49,300 --> 00:32:51,500 insurance companies often purchase a rider 697 00:32:51,500 --> 00:32:53,700 a backup policy from another firm. 698 00:32:53,700 --> 00:32:56,200 Yeah, insurance riders, of course... 699 00:32:56,200 --> 00:32:58,900 which wouldn't show up on a criminal reports 700 00:32:58,900 --> 00:33:01,600 because the customers don't even know they have them! 701 00:33:01,600 --> 00:33:03,000 Colby, Charlie's got a good idea-- 702 00:33:03,000 --> 00:33:05,900 check out if any of the insurance carriers bought riders from the same firm. 703 00:33:05,900 --> 00:33:08,300 If I'm right, you'll find a company common to several victims. 704 00:33:08,300 --> 00:33:10,200 And someone with access to that company's list of clients. 705 00:33:10,200 --> 00:33:12,300 And would know how to hack into cell phone signals. 706 00:33:12,300 --> 00:33:13,800 Megan, get a list of local employees 707 00:33:13,800 --> 00:33:15,800 with criminal records from the wireless companies. All right? 708 00:33:15,800 --> 00:33:16,900 I have that. 709 00:33:17,800 --> 00:33:19,600 - You are fast. - Thank you. 710 00:33:24,400 --> 00:33:25,600 Don, I already looked at three of them. 711 00:33:25,600 --> 00:33:26,800 They used the same underwriter. 712 00:33:26,800 --> 00:33:28,000 It's a BTL, limited. 713 00:33:28,000 --> 00:33:29,900 so I'm gonna check see if I can get employee lists. 714 00:33:29,900 --> 00:33:30,300 Good. 715 00:33:30,300 --> 00:33:32,300 Great. Now, compare that list to Megan's list 716 00:33:32,300 --> 00:33:34,000 and maybe we'll find one guy on both. 717 00:33:34,000 --> 00:33:36,800 No, we're looking for two guys, Mr. Brown, and Mr. Gray. 718 00:33:36,800 --> 00:33:40,000 Remember, one will know cell phones, one's gonna know insurance. 719 00:33:40,000 --> 00:33:43,100 This is the FBI's version of data mining 720 00:33:43,100 --> 00:33:44,700 finding links the old-fashioned way. 721 00:33:45,000 --> 00:33:47,600 Oh, yeah, by hand and by luck. 722 00:33:47,600 --> 00:33:51,000 Here we go, Herbert Quilty, service tech for Vertech wireless. 723 00:33:51,000 --> 00:33:55,000 Two years ago, pled guilty to selling stolen cell phones 724 00:33:55,000 --> 00:33:57,000 served three months in county gail. 725 00:33:57,000 --> 00:33:58,800 What's his link to the insurance company? 726 00:33:58,800 --> 00:34:00,200 Same time as Quilty was in jail 727 00:34:00,200 --> 00:34:04,000 a guy named Thomas Maynard was serving weekends on a DUI conviction 728 00:34:04,000 --> 00:34:07,000 Maynard was a supervisor at BTL underwriters. 729 00:34:07,000 --> 00:34:08,200 How did Roley put it? 730 00:34:08,200 --> 00:34:10,000 "One dresses better than my lawyer 731 00:34:10,000 --> 00:34:11,600 And one is a total geek." 732 00:34:21,100 --> 00:34:22,100 Freeze! Hands behind your head! 733 00:34:22,100 --> 00:34:24,000 Down on your knees! Down! 734 00:34:27,400 --> 00:34:30,300 Herbert Quilty, you're under arrest for murder. 735 00:34:31,500 --> 00:34:33,900 I had that wine at Morton's last week. 736 00:34:36,500 --> 00:34:39,800 FBI! Get on the ground! On your knees! Down! 737 00:34:40,500 --> 00:34:42,000 Hands behind your back, Maynard! 738 00:34:44,400 --> 00:34:46,900 You're working with some nasty dudes, Maynard. 739 00:34:46,900 --> 00:34:48,500 Where'd you meet guys like this? 740 00:34:49,300 --> 00:34:52,400 Weekend lockup seems a bit tame for stone killers. 741 00:34:52,400 --> 00:34:54,800 No evidence connects me to any crimes. 742 00:34:56,200 --> 00:34:58,000 Can't control these guys, can you? 743 00:34:58,900 --> 00:35:01,000 Thought you we're getting into the robbery business. 744 00:35:01,000 --> 00:35:03,000 Switched the game on you, didn't they? 745 00:35:08,500 --> 00:35:11,200 You set it up so they could stalk their victims 746 00:35:11,200 --> 00:35:13,600 in their homes, in their cars. 747 00:35:13,600 --> 00:35:16,000 That puts you right in the middle of things. 748 00:35:16,900 --> 00:35:18,400 Walter Gordon. 749 00:35:18,400 --> 00:35:20,600 His friends call him "demento." 750 00:35:20,600 --> 00:35:24,000 Leader of a San Fernando valley skinhead gang. 751 00:35:25,300 --> 00:35:26,900 Never seen him before in my life. 752 00:35:28,000 --> 00:35:29,100 Yes, you have. 753 00:35:30,200 --> 00:35:31,900 What happens to you now? 754 00:35:31,900 --> 00:35:33,100 What do you think he's gonna do to you 755 00:35:33,100 --> 00:35:35,400 the next time the two of you run into each other? 756 00:35:35,700 --> 00:35:38,100 And what about your family? 757 00:35:38,100 --> 00:35:40,700 If you're locked up, and he's out there? 758 00:35:43,500 --> 00:35:45,300 They weren't supposed to hurt anyone. 759 00:35:46,000 --> 00:35:47,100 That's all on them. 760 00:35:51,300 --> 00:35:53,500 I picked people from the company files. 761 00:35:53,500 --> 00:35:54,800 Quilty rigged the phones. 762 00:35:54,800 --> 00:35:57,000 With GPS to the node signal. 763 00:35:58,000 --> 00:35:59,400 Demento's crazy. 764 00:35:59,400 --> 00:36:00,600 I tried to keep him to a schedule 765 00:36:00,600 --> 00:36:02,900 but he wanted to move faster and faster 766 00:36:02,900 --> 00:36:04,500 he decided to pull these carjackings. 767 00:36:04,500 --> 00:36:08,200 Said he wanted to be known for selling expensive wheels. 768 00:36:08,700 --> 00:36:10,500 Nice timing on the photo. 769 00:36:10,500 --> 00:36:12,600 Forensics matched the bullet we found in Brentwood 770 00:36:12,600 --> 00:36:16,600 to one shot through the head of a fast food worker in Tarzana about two years ago. 771 00:36:16,600 --> 00:36:20,500 Witness in that case id'd Walter Gordon, aka demento. 772 00:36:20,500 --> 00:36:22,700 What I don't understand is how did Quilty's phone 773 00:36:22,700 --> 00:36:24,600 let the robbers know where track victims were? 774 00:36:24,600 --> 00:36:28,300 Well...Quilty must have put a sniffer on a node. 775 00:36:28,300 --> 00:36:31,400 A node is something that takes all the calls coming into a cell tower 776 00:36:31,400 --> 00:36:34,100 and then relays those signals to where they're going. 777 00:36:34,100 --> 00:36:38,300 A sniffer is an electronic device that detects specific calls 778 00:36:38,300 --> 00:36:41,500 then sends that signal to a phone the robbers must have. 779 00:36:41,500 --> 00:36:43,300 And you think Quilty's phone could do that? 780 00:36:43,300 --> 00:36:44,200 I think so. 781 00:36:44,200 --> 00:36:46,100 All he needed was access to the cell towers. 782 00:36:46,100 --> 00:36:48,300 Because he worked at a wireless company, he had that. 783 00:36:48,300 --> 00:36:49,400 And the gear required 784 00:36:49,400 --> 00:36:51,600 well, he could buy that at any electronics store, couldn't he? 785 00:36:51,600 --> 00:36:54,800 All right, so Maynard gave Quilty phone numbers of people 786 00:36:54,800 --> 00:36:56,000 who owned valuable things. 787 00:36:56,000 --> 00:36:58,800 Right, and Quilty had his sniffer search for those numbers. 788 00:36:58,800 --> 00:37:00,200 When those signals came in 789 00:37:00,200 --> 00:37:03,000 the locations went to the phone that he gave the robbers. 790 00:37:03,000 --> 00:37:05,900 They could follow victims, move in as they arrived home. 791 00:37:06,500 --> 00:37:10,200 Walter Gordon, aka demento, has no known address. 792 00:37:10,200 --> 00:37:13,200 LAPD's been looking for him since the tarzana killing. 793 00:37:13,500 --> 00:37:16,000 Okay, so Maynard and Quilty set up Gordon 794 00:37:16,000 --> 00:37:17,900 with phone numbers of potential victims. 795 00:37:17,900 --> 00:37:19,600 See if they picked any new victims. 796 00:37:19,600 --> 00:37:20,700 I mean, if we can't find Gordon 797 00:37:20,700 --> 00:37:22,400 let's find out where he's going. 798 00:37:29,600 --> 00:37:32,100 Come on, take me to your home. 799 00:37:33,300 --> 00:37:34,400 There's the volvo. 800 00:37:35,200 --> 00:37:37,100 This family will not know what hit them. 801 00:38:01,800 --> 00:38:03,500 I got the driver, you get the girl! 802 00:38:03,500 --> 00:38:06,600 Out of the damn car! Get out of the car now! 803 00:38:06,600 --> 00:38:08,500 Drop the gun! Drop it! 804 00:38:11,800 --> 00:38:14,000 Don't move! Get your hands behind your back! 805 00:38:17,800 --> 00:38:18,400 Get him up. 806 00:38:21,000 --> 00:38:21,700 What the hell is that? 807 00:38:21,700 --> 00:38:24,500 Shut up, can't you see the baby's sleeping? 808 00:38:28,100 --> 00:38:28,800 Marshall. 809 00:38:28,800 --> 00:38:29,900 Eppesy. 810 00:38:29,900 --> 00:38:34,000 I just thought you might like to know that your insight on the subset commonality 811 00:38:34,000 --> 00:38:36,800 helped the FBI catch three murderers. 812 00:38:37,300 --> 00:38:40,600 Wow. That's, uh...that's, that's great. 813 00:38:40,600 --> 00:38:43,500 So, thank you for your help. 814 00:38:43,500 --> 00:38:44,400 You're welcome. 815 00:38:49,400 --> 00:38:51,200 I hope you understand 816 00:38:51,200 --> 00:38:55,100 I didn't work on the Eppes convergence because of you. 817 00:38:55,700 --> 00:38:57,900 I did because, uh... 818 00:38:58,300 --> 00:39:00,200 well, because it's great math. 819 00:39:01,600 --> 00:39:02,400 You know, back at Princeton 820 00:39:02,400 --> 00:39:05,000 you were always the guy with the deep ideas. 821 00:39:05,000 --> 00:39:07,700 This one just fascinated me. 822 00:39:08,900 --> 00:39:11,600 Well, I have to admit... 823 00:39:12,500 --> 00:39:15,800 your work shows tremendous insight. 824 00:39:15,800 --> 00:39:16,500 Thank you. 825 00:39:17,300 --> 00:39:20,400 Though I've taken another look at your analysis. 826 00:39:20,400 --> 00:39:22,300 Oh, no, I know that tone. 827 00:39:22,300 --> 00:39:28,100 And I think I've found a way to address the flaw that you've identified. 828 00:39:37,000 --> 00:39:38,500 That's the basic idea. 829 00:39:40,900 --> 00:39:45,200 That negates the whole need for the flawed section, then. 830 00:39:46,100 --> 00:39:46,900 How about that? 831 00:39:46,900 --> 00:39:49,400 Great professor Charlie Eppes has done it again. 832 00:39:49,400 --> 00:39:50,800 Now, that's hokum. 833 00:39:51,500 --> 00:39:54,300 This approach was only apparent because of your work. 834 00:39:55,000 --> 00:39:59,100 So I'm going to call this the Penfield variation. 835 00:40:01,200 --> 00:40:02,200 Great. 836 00:40:03,600 --> 00:40:05,900 Way to make me feel like a real ass. 837 00:40:12,500 --> 00:40:13,300 Door's open. 838 00:40:13,700 --> 00:40:15,000 Hi, Mr. Eppes. 839 00:40:15,000 --> 00:40:16,200 Hi. 840 00:40:16,200 --> 00:40:18,400 Charlie's supposed to come with us to a seminar. 841 00:40:18,900 --> 00:40:20,200 Oh, he's out in the garage. 842 00:40:21,900 --> 00:40:23,500 Hey, Charlie, your friends... 843 00:40:23,500 --> 00:40:24,500 here he comes. 844 00:40:24,500 --> 00:40:25,900 Been out in the garage all day. 845 00:40:26,200 --> 00:40:27,800 Hey, guys, you know what? Go on ahead without me-- 846 00:40:27,800 --> 00:40:29,100 Maybe I'll catch up with you later 847 00:40:29,100 --> 00:40:30,800 'cause I'm a little caught up with something right now. 848 00:40:30,800 --> 00:40:32,000 what are you working on? 849 00:40:33,000 --> 00:40:36,700 A unified theory of the neural network in higher cognitive functions. 850 00:40:37,400 --> 00:40:39,200 The math of the brain. 851 00:40:40,500 --> 00:40:42,100 I'd better stick to it, too. 852 00:40:42,400 --> 00:40:46,600 It might take me a while...say, several decades. 853 00:40:46,600 --> 00:40:47,600 Attaboy. 854 00:40:50,700 --> 00:40:51,900 Yeah, what is it they say? 855 00:40:51,900 --> 00:40:54,400 "The journey is more important than the destination?" 856 00:40:54,900 --> 00:40:55,900 So true. 857 00:40:56,200 --> 00:40:57,500 You're doing a jigsaw puzzle. 858 00:40:57,500 --> 00:41:00,500 Oh, yeah, it's 5,000 pieces. 859 00:41:00,500 --> 00:41:01,385 My wife used to do them all the time. 860 00:41:06,386 --> 00:41:09,386 So what do you say, you skip the seminar and we'll order in some pizza 861 00:41:10,500 --> 00:41:13,386 I love jigsaw puzzles... And I love pizza... 862 00:41:14,387 --> 00:41:15,600 Alright... 68538

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