1 00:00:12,880 --> 00:00:14,382 CHARLIE: What do you say, Larry? 2 00:00:14,415 --> 00:00:17,318 The Eagle, the Shark? 3 00:00:17,351 --> 00:00:18,319 Oh, I think the Eagle. 4 00:00:18,352 --> 00:00:19,487 More stability. 5 00:00:19,520 --> 00:00:21,422 Let's go, bro. Show us how it's done. 6 00:00:21,455 --> 00:00:23,057 ( grunts ) 7 00:00:25,493 --> 00:00:27,061 ( group groaning ) 8 00:00:27,095 --> 00:00:28,562 Ah, that close... 9 00:00:28,596 --> 00:00:30,464 Nice, all right. 10 00:00:30,498 --> 00:00:31,332 Watch this. 11 00:00:31,365 --> 00:00:33,367 All right, go for it. 12 00:00:33,401 --> 00:00:35,035 Oh, yeah. 13 00:00:37,505 --> 00:00:39,140 Oh! 14 00:00:39,173 --> 00:00:39,840 Yes! 15 00:00:39,873 --> 00:00:41,809 - Oh! Nice! - Nice. 16 00:00:41,842 --> 00:00:43,177 - Nice throw, brother. - Sweet, right? 17 00:00:43,211 --> 00:00:45,279 You know, Don, you and I are very alike. 18 00:00:45,313 --> 00:00:47,415 We're both focused on large, 19 00:00:47,448 --> 00:00:49,417 possibly unattainable goals-- 20 00:00:49,450 --> 00:00:51,552 me trying to explain all the workings of the universe... 21 00:00:51,585 --> 00:00:53,087 Yeah. What am I doing? 22 00:00:53,121 --> 00:00:54,722 Trying to take all the unworkable workings 23 00:00:54,755 --> 00:00:56,190 and put them in jail. (phone rings) 24 00:00:56,224 --> 00:00:59,293 Good luck to both of us. 25 00:00:59,327 --> 00:01:01,229 Eppes. 26 00:01:03,497 --> 00:01:05,666 Yeah. All right. 27 00:01:05,699 --> 00:01:07,435 Okay, I'm on my way. 28 00:01:07,468 --> 00:01:09,103 Sorry, guys, got to go. 29 00:01:09,137 --> 00:01:10,404 You know, work. I'll see you, 30 00:01:10,438 --> 00:01:12,840 all right? 31 00:01:12,873 --> 00:01:15,143 Yeah. Well, there he goes, back to the unattainable. 32 00:01:17,345 --> 00:01:19,347 ( garbled radio transmission) 33 00:01:19,380 --> 00:01:21,649 ( indistinct chatter ) 34 00:01:21,682 --> 00:01:24,385 MEGAN: Hi. They killed the father 35 00:01:24,418 --> 00:01:25,619 when he tried to resist. 36 00:01:25,653 --> 00:01:27,388 Seems just like the third robbery. 37 00:01:27,421 --> 00:01:29,390 It's the same guys-- ski masks, 38 00:01:29,423 --> 00:01:31,859 physical descriptions match the other home invasions. 39 00:01:31,892 --> 00:01:33,494 This puts us up to seven 40 00:01:33,527 --> 00:01:36,830 in six months, so they're coming at faster intervals. 41 00:01:36,864 --> 00:01:38,599 They go after any specific items? 42 00:01:38,632 --> 00:01:39,833 Yeah. 43 00:01:39,867 --> 00:01:42,636 Jewelry, paintings, high-end furnishings. 44 00:01:53,681 --> 00:01:55,649 The deceased is Dr. Richard Bloom. 45 00:01:55,683 --> 00:01:58,186 He and his wife arrived home with their 15-year-old 46 00:01:58,219 --> 00:02:00,454 son, Jordan, after a school track meet. 47 00:02:00,488 --> 00:02:02,456 Three guys rushed them at the front door. 48 00:02:02,490 --> 00:02:03,757 Bound them up with duct tape. 49 00:02:03,791 --> 00:02:05,526 Did you see this? 50 00:02:05,559 --> 00:02:07,428 Yeah. 51 00:02:07,461 --> 00:02:10,364 The son put up a struggle, and one of the burglars hit him. 52 00:02:10,398 --> 00:02:12,466 The father tried to stop him, 53 00:02:12,500 --> 00:02:14,235 and they threw him in the pool, 54 00:02:14,268 --> 00:02:16,337 hands and feet still bound, 55 00:02:16,370 --> 00:02:19,173 and laughed while he drowned. 56 00:02:21,509 --> 00:02:23,577 DAVID: Daughter's name is Jill. 57 00:02:23,611 --> 00:02:24,678 She was at a friend's house. 58 00:02:24,712 --> 00:02:26,247 Her friend's mom brought her back 59 00:02:26,280 --> 00:02:27,415 home, saw something was wrong. 60 00:02:27,448 --> 00:02:29,550 She called 911. 61 00:02:29,583 --> 00:02:30,718 Daughter didn't see anything. 62 00:02:30,751 --> 00:02:31,852 Thank God. 63 00:02:31,885 --> 00:02:34,288 Right now, someone has to tell her her Daddy's dead. 64 00:02:40,361 --> 00:02:43,197 We all use math every day, 65 00:02:43,231 --> 00:02:44,465 to predict weather, 66 00:02:44,498 --> 00:02:47,768 to tell time, 67 00:02:47,801 --> 00:02:48,469 to handle money. 68 00:02:50,738 --> 00:02:54,442 Math is more than formulas and equations. 69 00:02:54,475 --> 00:02:57,945 It's logic. 70 00:02:57,978 --> 00:03:00,548 It's rationality. 71 00:03:00,581 --> 00:03:03,217 It's using your mind 72 00:03:03,251 --> 00:03:04,618 to solve the biggest mysteries we know. 73 00:03:11,292 --> 00:03:12,826 So, we got seven home invasions, right? 74 00:03:12,860 --> 00:03:14,862 This is before LAPD asked for our help. 75 00:03:14,895 --> 00:03:16,464 This is after. 76 00:03:16,497 --> 00:03:17,865 What we know is that they-they do have weapons, 77 00:03:17,898 --> 00:03:19,433 although they haven't fired them, 78 00:03:19,467 --> 00:03:20,468 so we have no useful forensics. 79 00:03:20,501 --> 00:03:22,403 And they all live in exclusive neighborhoods, 80 00:03:22,436 --> 00:03:23,671 they all have high-end, 81 00:03:23,704 --> 00:03:25,506 expensive valuables in their homes, 82 00:03:25,539 --> 00:03:26,640 and they all have security systems, 83 00:03:26,674 --> 00:03:29,310 but the attacks take place just as they're coming in, 84 00:03:29,343 --> 00:03:30,544 and the alarms have been turned off. 85 00:03:34,382 --> 00:03:35,583 Who are they? 86 00:03:35,616 --> 00:03:37,418 DON: They're both fathers. 87 00:03:37,451 --> 00:03:40,354 They both fought back to protect their families. 88 00:03:40,388 --> 00:03:41,555 I mean, we can't even figure out 89 00:03:41,589 --> 00:03:42,556 how these guys are picking the homes. 90 00:03:42,590 --> 00:03:44,292 MEGAN: No. So far, there's no commonalities 91 00:03:44,325 --> 00:03:45,426 between the families. 92 00:03:45,459 --> 00:03:47,728 You know, other than the fact that they're wealthy. 93 00:03:47,761 --> 00:03:49,397 Let's try data mining. 94 00:03:49,430 --> 00:03:51,365 It's a system for analyzing information. 95 00:03:51,399 --> 00:03:52,500 MEGAN: Army Intelligence uses that 96 00:03:52,533 --> 00:03:55,403 to identify possible terrorist attacks. 97 00:03:55,436 --> 00:03:57,771 I design an algorithm based on these crimes. 98 00:03:57,805 --> 00:03:59,340 The algorithm then takes the data 99 00:03:59,373 --> 00:04:00,974 and identifies correlations. 100 00:04:01,008 --> 00:04:02,042 All right. I'll get you everything 101 00:04:02,075 --> 00:04:03,444 we have on the families. 102 00:04:03,477 --> 00:04:04,645 MEGAN: Yeah, where they live, where 103 00:04:04,678 --> 00:04:06,347 they go to school, shop, dine out. 104 00:04:06,380 --> 00:04:08,449 Who cleans their pools, who fixes their cars. 105 00:04:08,482 --> 00:04:09,683 I'll need more than that. 106 00:04:09,717 --> 00:04:11,285 More than everything on the families? 107 00:04:11,319 --> 00:04:13,487 More... on everything. 108 00:04:13,521 --> 00:04:15,489 All crime stats for the past six months 109 00:04:15,523 --> 00:04:16,690 for the entire county. 110 00:04:16,724 --> 00:04:18,526 MEGAN: Wouldn't that much data 111 00:04:18,559 --> 00:04:20,361 make it harder to find what you're looking for? 112 00:04:20,394 --> 00:04:21,395 CHARLIE: The opposite. 113 00:04:21,429 --> 00:04:23,931 More data means more chances to find something. 114 00:04:23,964 --> 00:04:26,367 It's like when you're trying to put together a jigsaw puzzle. 115 00:04:26,400 --> 00:04:28,536 You start with a few pieces, and the rest are in the box. 116 00:04:28,569 --> 00:04:32,440 All the pieces you have should eventually fit your puzzle. 117 00:04:32,473 --> 00:04:35,376 All the pieces and nothing more come in the box. 118 00:04:35,409 --> 00:04:36,610 But with a real-world problem, 119 00:04:36,644 --> 00:04:38,979 that's just like trying to solve a jigsaw puzzle 120 00:04:39,012 --> 00:04:40,481 when all the pieces you need are mixed in 121 00:04:40,514 --> 00:04:43,050 with pieces from many other puzzles. 122 00:04:43,083 --> 00:04:45,553 Now, when you grab a few pieces from the box, 123 00:04:45,586 --> 00:04:46,587 most won't fit. 124 00:04:46,620 --> 00:04:47,788 You got to go through the entire box 125 00:04:47,821 --> 00:04:51,559 and pull out the pieces that fit your puzzle. 126 00:04:51,592 --> 00:04:55,696 The algorithm goes through it all, pulls out what 127 00:04:55,729 --> 00:04:56,764 fits together. 128 00:04:56,797 --> 00:04:59,767 All right. Well, I'll get you our reports, okay? 129 00:04:59,800 --> 00:05:00,801 CHARLIE Hey, guys. 130 00:05:00,834 --> 00:05:03,937 Hey, I've got a complex data analysis problem. 131 00:05:03,971 --> 00:05:05,806 Either of you free? Well, both of you? 132 00:05:05,839 --> 00:05:07,575 I'd prefer both. 133 00:05:07,608 --> 00:05:09,710 I... Well, I have some, a couple of hours. 134 00:05:09,743 --> 00:05:11,745 Charlie, have you seen the guest lecture schedule 135 00:05:11,779 --> 00:05:12,913 for this week? 136 00:05:12,946 --> 00:05:14,382 No, I haven't. Why? 137 00:05:14,415 --> 00:05:15,583 Oh, don't... Damn it. 138 00:05:15,616 --> 00:05:18,352 Don't tell me I've gotten stuck hosting another reception. 139 00:05:18,386 --> 00:05:20,588 No. Uh, some guy's giving a talk 140 00:05:20,621 --> 00:05:22,423 on the asymptotics of random matrices. 141 00:05:22,456 --> 00:05:24,525 Hey, you've done some distinguished work there, 142 00:05:24,558 --> 00:05:25,826 haven't you? 143 00:05:25,859 --> 00:05:27,127 The guest lecturer's name is... 144 00:05:27,160 --> 00:05:29,597 What the hell is that son of a bitch doing here? 145 00:05:29,630 --> 00:05:31,365 To whom are you referring? 146 00:05:33,033 --> 00:05:34,468 Marshall Penfield. 147 00:05:34,502 --> 00:05:36,370 That's the guy-- the guy that's giving the talk. 148 00:05:36,404 --> 00:05:37,805 Oh, really? 149 00:05:37,838 --> 00:05:39,507 Marshall and I-- 150 00:05:39,540 --> 00:05:41,074 we attended Princeton together. 151 00:05:41,108 --> 00:05:45,145 Every chance he got, he slammed my work. 152 00:05:45,178 --> 00:05:46,747 And the only keg party I ever threw-- 153 00:05:46,780 --> 00:05:48,081 he stole the keg. 154 00:05:48,115 --> 00:05:49,583 Marshall. 155 00:05:49,617 --> 00:05:51,385 Hey, Eppesy. You coming to the talk? 156 00:05:51,419 --> 00:05:52,453 It's gonna be a good one. 157 00:05:52,486 --> 00:05:53,754 I just heard about it. 158 00:05:53,787 --> 00:05:55,489 Ever so excited. Wondering 159 00:05:55,523 --> 00:05:57,758 what your subject could be. 160 00:05:57,791 --> 00:05:59,159 Oh, same old same old. 161 00:05:59,192 --> 00:06:01,462 Hi. How you doing? 162 00:06:01,495 --> 00:06:03,096 CHARLIE: You found a new approach? 163 00:06:03,130 --> 00:06:06,400 Only because I recall your earlier attacks 164 00:06:06,434 --> 00:06:07,868 on my analysis of Plancharel measures. 165 00:06:07,901 --> 00:06:10,037 You made an ass of yourself. 166 00:06:10,070 --> 00:06:11,472 ( chuckles ): Yes, but unlike you, 167 00:06:11,505 --> 00:06:13,441 I continued to work in the field. 168 00:06:13,474 --> 00:06:16,109 And I've made some interesting findings. 169 00:06:16,143 --> 00:06:18,412 Elaborate. 170 00:06:18,446 --> 00:06:20,614 A flaw in your work. 171 00:06:20,648 --> 00:06:22,616 I'll spare you the details. 172 00:06:22,650 --> 00:06:25,753 I'll save it for the talk, but, bottom line-- 173 00:06:25,786 --> 00:06:28,188 your big breakthrough, the Eppes Convergence? 174 00:06:28,221 --> 00:06:30,524 It's wrong. 175 00:06:31,959 --> 00:06:34,094 It was nice meeting you. 176 00:06:38,932 --> 00:06:41,769 MRS. BLOOM: These things-- most of them 177 00:06:41,802 --> 00:06:44,638 have been in our families for years. 178 00:06:44,672 --> 00:06:47,608 I don't care about any of this. 179 00:06:47,641 --> 00:06:50,043 But Richard-- 180 00:06:50,077 --> 00:06:51,979 he was only trying to protect our son. 181 00:06:52,012 --> 00:06:53,213 I know, Mrs. Bloom. 182 00:06:53,246 --> 00:06:54,615 I'm so sorry. 183 00:06:54,648 --> 00:06:57,050 He just couldn't bear to see people hurt. 184 00:06:57,084 --> 00:06:58,586 It's why he became a doctor. 185 00:06:58,619 --> 00:07:00,187 I just think 186 00:07:00,220 --> 00:07:02,022 if maybe you could tell me anything 187 00:07:02,055 --> 00:07:03,557 about one of these pieces, 188 00:07:03,591 --> 00:07:05,893 it might help me find your husband's killer. 189 00:07:08,696 --> 00:07:09,863 There's a lamp. 190 00:07:09,897 --> 00:07:11,632 It was, uh, made by Dirk Van Erp. 191 00:07:11,665 --> 00:07:15,068 It's one of a pair. 192 00:07:15,102 --> 00:07:19,640 Richard got the first one for me as a wedding present, 193 00:07:19,673 --> 00:07:24,011 and he spent years trying to find the other one. 194 00:07:24,044 --> 00:07:26,079 He finally found it. 195 00:07:26,113 --> 00:07:28,181 He said they belonged together, 196 00:07:28,215 --> 00:07:31,819 just like we did. 197 00:07:31,852 --> 00:07:32,886 DON: So, this lamp's worth, like, 198 00:07:32,920 --> 00:07:34,522 $100,000. 199 00:07:34,555 --> 00:07:36,924 Which, I imagine, you can't just sell just anywhere. 200 00:07:36,957 --> 00:07:38,125 Yeah, that's what I'm thinking. 201 00:07:38,158 --> 00:07:39,793 We should check into whatever markets deal 202 00:07:39,827 --> 00:07:40,994 with this kind of stuff, see if there's any buzz. 203 00:07:41,028 --> 00:07:42,229 Mm-hmm. 204 00:07:42,262 --> 00:07:43,797 CHARLIE: Penfield hates me. 205 00:07:43,831 --> 00:07:45,833 It drove him crazy. 206 00:07:45,866 --> 00:07:46,967 I became the youngest person 207 00:07:47,000 --> 00:07:48,769 to ever publish a major paper, 208 00:07:48,802 --> 00:07:51,639 and when I gave my first seminar on the Eppes Convergence, 209 00:07:51,672 --> 00:07:54,074 he shows up with a button that says, uh, 210 00:07:54,107 --> 00:07:55,142 "Don't believe the hype." 211 00:07:55,175 --> 00:07:56,510 LARRY ( laughs ): Okay. 212 00:07:56,544 --> 00:07:58,245 Well, that's a little confrontational. 213 00:07:58,278 --> 00:07:59,813 But, I mean, you were a star in your field. 214 00:07:59,847 --> 00:08:01,815 You-you got to expect this kind of attention. 215 00:08:01,849 --> 00:08:03,250 This man has singled me out. 216 00:08:03,283 --> 00:08:05,753 No. Your status has singled you out. 217 00:08:05,786 --> 00:08:09,523 I mean, people-people are scrutinizing your work because 218 00:08:09,557 --> 00:08:10,591 of your reputation. 219 00:08:10,624 --> 00:08:12,693 You must understand-- that's why he's doing it. 220 00:08:12,726 --> 00:08:13,927 To ruin my reputation. 221 00:08:13,961 --> 00:08:16,564 The Eppes Convergence made me. 222 00:08:16,597 --> 00:08:18,599 If it's wrong, 223 00:08:18,632 --> 00:08:19,933 then what am I? 224 00:08:19,967 --> 00:08:21,602 Well, you're a talented, 225 00:08:21,635 --> 00:08:23,937 theoretician with an ego problem? 226 00:08:23,971 --> 00:08:25,172 I'm sorry? 227 00:08:25,205 --> 00:08:27,040 ( phone ringing ) 228 00:08:30,911 --> 00:08:32,045 Hello? 229 00:08:32,079 --> 00:08:33,914 Yeah, I'll be right there. 230 00:08:33,947 --> 00:08:35,749 I got to go. 231 00:08:35,783 --> 00:08:36,650 Okay. 232 00:08:36,684 --> 00:08:37,818 The computer lab says 233 00:08:37,851 --> 00:08:39,887 the algorithm for Don's case kicked out some findings. 234 00:08:39,920 --> 00:08:40,788 Yeah. 235 00:08:42,122 --> 00:08:44,124 Well, wisdom and genius-- 236 00:08:44,157 --> 00:08:46,560 rarely present in equal abundance. 237 00:08:48,662 --> 00:08:51,965 I don't remember where I got this lamp. 238 00:08:51,999 --> 00:08:53,634 Probably some estate sale. 239 00:08:53,667 --> 00:08:55,302 Wrong answer. 240 00:08:55,335 --> 00:08:56,904 Hands behind your back right now. 241 00:08:56,937 --> 00:08:58,305 - What's going on? - You know what's going on. 242 00:08:58,338 --> 00:09:00,107 You can tell us where you got it here, 243 00:09:00,140 --> 00:09:01,341 or you can tell us down 244 00:09:01,374 --> 00:09:02,710 at our office. 245 00:09:02,743 --> 00:09:03,911 That's after we walk you 246 00:09:03,944 --> 00:09:04,945 through your show room full of customers. 247 00:09:04,978 --> 00:09:05,946 Wait, wait. Okay. 248 00:09:05,979 --> 00:09:07,047 Where did you get it? 249 00:09:07,080 --> 00:09:08,882 ( sighs ) 250 00:09:08,916 --> 00:09:10,884 I was introduced to this guy a few months ago. 251 00:09:10,918 --> 00:09:13,153 His name is Roley. 252 00:09:13,186 --> 00:09:16,690 He told me he got the lamp from a bankruptcy procedure. 253 00:09:16,724 --> 00:09:18,826 But you knew better, didn't you? 254 00:09:22,362 --> 00:09:24,932 ( humming ) 255 00:09:34,908 --> 00:09:36,043 DON: Colby. 256 00:09:36,076 --> 00:09:37,077 Your brother is starting 257 00:09:37,110 --> 00:09:38,311 to freak me out a little bit. 258 00:09:38,345 --> 00:09:40,047 DON: What, just a little? 259 00:09:40,080 --> 00:09:41,314 Hey. What's up? 260 00:09:41,348 --> 00:09:43,984 Calendars are wonderful 261 00:09:44,017 --> 00:09:44,985 analog mathematical tools. 262 00:09:45,018 --> 00:09:49,056 They create a universal timeline for societies 263 00:09:49,089 --> 00:09:51,058 by interpreting astrophysical movement. 264 00:09:51,091 --> 00:09:53,360 What are you talking about? 265 00:09:53,393 --> 00:09:55,629 CHARLIE: Calendars aren't based on easily divisible factors. 266 00:09:55,663 --> 00:09:58,198 Okay? You know, they originally tried to make them like that. 267 00:09:58,231 --> 00:10:01,334 360 days divides quite evenly, but 268 00:10:01,368 --> 00:10:03,270 doesn't match with what you see in the night sky, 269 00:10:03,303 --> 00:10:05,673 so ancient calendars would add an extra month 270 00:10:05,706 --> 00:10:07,374 every eight years, or tack on 271 00:10:07,407 --> 00:10:09,276 five extra days. 272 00:10:09,309 --> 00:10:10,944 What, these were all the dates from the home invasions? 273 00:10:10,978 --> 00:10:11,879 Right. Once I got 274 00:10:11,912 --> 00:10:14,081 the data mining algorithm up and running, 275 00:10:14,114 --> 00:10:16,349 I ran a Fourier analysis on the chronologies-- 276 00:10:16,383 --> 00:10:17,150 the dates, the times. 277 00:10:17,184 --> 00:10:18,786 COLBY: We've actually been looking 278 00:10:18,819 --> 00:10:20,120 to try and find a timeline pattern, Charlie, 279 00:10:20,153 --> 00:10:21,388 but we can't come up with anything. 280 00:10:21,421 --> 00:10:23,891 Because you weren't looking in the same way my analysis does. 281 00:10:23,924 --> 00:10:26,026 The red days are 282 00:10:26,059 --> 00:10:27,194 known attacks. 283 00:10:27,227 --> 00:10:28,962 The blue days are when the analysis says 284 00:10:28,996 --> 00:10:30,998 there should be attacks, but there aren't. 285 00:10:31,031 --> 00:10:32,966 And what we must ask ourselves is: 286 00:10:33,000 --> 00:10:35,368 How do you know there aren't? 287 00:10:35,402 --> 00:10:37,905 No homes were hit on those dates, right? 288 00:10:37,938 --> 00:10:39,006 CHARLIE: Let's assume 289 00:10:39,039 --> 00:10:42,109 that these same guys commit other types of crimes. 290 00:10:42,142 --> 00:10:43,977 You mean, not just home invasions. 291 00:10:44,011 --> 00:10:47,014 DON: So, you're saying, what, if we find new crimes, 292 00:10:47,047 --> 00:10:48,849 - maybe we find new evidence? - CHARLIE: I think you should 293 00:10:48,882 --> 00:10:50,984 be looking for crimes committed by gunmen 294 00:10:51,018 --> 00:10:53,153 that fit the same description, that occur 295 00:10:53,186 --> 00:10:55,088 in these days that I've marked blue. 296 00:10:55,122 --> 00:10:56,389 And Charlie, the pattern. 297 00:10:56,423 --> 00:10:59,059 Can it tell us when the next attack would be? 298 00:10:59,092 --> 00:11:01,995 CHARLIE: Patterns like this are-are clearer in hindsight. 299 00:11:02,029 --> 00:11:04,064 I mean, they're not really used as-as predictors. 300 00:11:04,097 --> 00:11:06,066 I mean, there's an erratic frequency here. 301 00:11:06,099 --> 00:11:07,901 I mean, you know, there's several 302 00:11:07,935 --> 00:11:09,703 robberies a couple days apart, 303 00:11:09,737 --> 00:11:11,038 and then there's one or two hits, 304 00:11:11,071 --> 00:11:12,005 and then an even shorter break. 305 00:11:14,041 --> 00:11:15,042 Just point us in a direction. 306 00:11:15,075 --> 00:11:16,009 ( exhales ) 307 00:11:16,043 --> 00:11:17,477 This is my best guess. 308 00:11:17,510 --> 00:11:20,914 It's possible that the next attack could occur 309 00:11:20,948 --> 00:11:23,450 in three days. 310 00:11:30,357 --> 00:11:32,025 I checked the incident reports on the days 311 00:11:32,059 --> 00:11:33,994 where Charlie said there might have been related crimes. 312 00:11:34,027 --> 00:11:37,865 I found three carjackings done by three guys in ski masks 313 00:11:37,898 --> 00:11:39,166 that match the physical descriptions 314 00:11:39,199 --> 00:11:40,901 - of our home invaders. - COLBY: Our guys 315 00:11:40,934 --> 00:11:42,402 go for the high-end goods, though, Megan. 316 00:11:42,435 --> 00:11:44,037 The cars stolen were a Mercedes, 317 00:11:44,071 --> 00:11:45,973 Range Rover and a Porsche. 318 00:11:46,006 --> 00:11:47,507 - Any of them found? - No, which means 319 00:11:47,540 --> 00:11:49,442 either they were repainted and given new VINs 320 00:11:49,476 --> 00:11:50,543 or they were sold outside the area. 321 00:11:50,577 --> 00:11:53,113 These guys seem to know how to move expensive items. 322 00:11:53,146 --> 00:11:54,347 And there's something else. 323 00:11:54,381 --> 00:11:57,117 We've never had a gun fired in any of the home invasions... 324 00:11:57,150 --> 00:11:58,451 There's a gunshot in the carjacking. 325 00:11:58,485 --> 00:12:00,187 Yes, there was. At the Porsche robbery, 326 00:12:00,220 --> 00:12:02,489 one of the members of the crew shot a round into the air 327 00:12:02,522 --> 00:12:03,623 to scare the owner. 328 00:12:03,656 --> 00:12:06,159 We find that bullet, we might be able to make a match. 329 00:12:06,193 --> 00:12:08,028 You want to find a bullet fired straight up? 330 00:12:08,061 --> 00:12:09,262 - It's not gonna be easy. - It's not impossible. 331 00:12:09,296 --> 00:12:10,998 Just find the cops who responded to the call. 332 00:12:11,031 --> 00:12:12,432 DAVID: They would've done a neighborhood canvas 333 00:12:12,465 --> 00:12:14,067 to ID the round that was fired. 334 00:12:14,101 --> 00:12:14,902 We should be talking to 335 00:12:14,935 --> 00:12:16,036 the people whose cars were jacked, 336 00:12:16,069 --> 00:12:18,505 running down the lead from the antique store owner. 337 00:12:18,538 --> 00:12:20,007 - What's the fence's name? - Roley. I'm on it. 338 00:12:20,040 --> 00:12:20,974 Good. All right. 339 00:12:22,009 --> 00:12:23,343 DAVID: A bad time? 340 00:12:23,376 --> 00:12:25,478 No, come on in. 341 00:12:25,512 --> 00:12:27,314 I'm just sitting here, waiting for 342 00:12:27,347 --> 00:12:31,018 a new run of the data mining program. 343 00:12:31,051 --> 00:12:32,285 Emergence theory. 344 00:12:32,319 --> 00:12:33,821 The whole is greater than 345 00:12:33,854 --> 00:12:35,555 the sum of its parts. 346 00:12:35,588 --> 00:12:36,790 Individually, ants have limited capabilities. 347 00:12:36,824 --> 00:12:41,061 But the colony can be viewed as a single complex organism. 348 00:12:41,094 --> 00:12:43,163 But you guys aren't here 349 00:12:43,196 --> 00:12:44,531 to talk about ants, are you? 350 00:12:44,564 --> 00:12:47,935 No, actually, we have a little bet. 351 00:12:47,968 --> 00:12:49,402 David here seems to think that you might 352 00:12:49,436 --> 00:12:50,871 be able to help us find 353 00:12:50,904 --> 00:12:52,039 a needle in a haystack. 354 00:12:52,072 --> 00:12:53,373 A bullet in Brentwood, to be exact. 355 00:12:53,406 --> 00:12:55,075 COLBY: Checking the time periods where you thought 356 00:12:55,108 --> 00:12:56,810 there might be related crimes, 357 00:12:56,844 --> 00:12:58,545 we found three carjackings-- one of them, there was gunfire. 358 00:12:58,578 --> 00:12:59,412 We find that bullet, 359 00:12:59,446 --> 00:13:01,581 we might be able to match it to a gun. 360 00:13:01,614 --> 00:13:03,316 This bullet, was it fired 361 00:13:03,350 --> 00:13:05,118 parallel to the ground or at an angle? 362 00:13:05,152 --> 00:13:07,320 According to the crime report, into the air. 363 00:13:07,354 --> 00:13:08,421 We're not sure of 364 00:13:08,455 --> 00:13:09,489 the exact angle. 365 00:13:09,522 --> 00:13:11,058 What type of gun? 366 00:13:11,091 --> 00:13:15,095 Uh, we're actually not certain about that, either. 367 00:13:15,128 --> 00:13:16,997 CHARLIE: Okay, we're looking at at least two variables. 368 00:13:17,030 --> 00:13:18,031 Any handgun's going to 369 00:13:18,065 --> 00:13:20,433 fall into a certain range of muzzle velocity. 370 00:13:20,467 --> 00:13:23,036 Now, we're assuming that the gun was pointed up, 371 00:13:23,070 --> 00:13:24,104 not exactly vertical? Okay. 372 00:13:24,137 --> 00:13:25,005 So that'll give us 373 00:13:25,038 --> 00:13:25,906 a radius of... 374 00:13:25,939 --> 00:13:28,041 PENFIELD: Two to three thousand feet. 375 00:13:28,075 --> 00:13:29,576 Roughly half a mile. 376 00:13:29,609 --> 00:13:32,145 Only there are a lot of assumptions built into 377 00:13:32,179 --> 00:13:34,982 these calculations, but I suppose that can't be helped. 378 00:13:35,015 --> 00:13:36,884 Agent Sinclair, 379 00:13:36,917 --> 00:13:39,987 Agent Granger, this is Dr. Penfield. 380 00:13:40,020 --> 00:13:42,422 Sorry to interrupt. 381 00:13:42,455 --> 00:13:43,891 I just heard the familiar 382 00:13:43,924 --> 00:13:44,892 staccato clacking of chalk, 383 00:13:44,925 --> 00:13:47,160 I thought it might be something interesting. 384 00:13:47,194 --> 00:13:48,929 You're still coming to my presentation, right? 385 00:13:48,962 --> 00:13:52,165 I might get something wrong about Hermitian random matrices. 386 00:13:52,199 --> 00:13:53,867 You know, I've moved on 387 00:13:53,901 --> 00:13:56,236 to sequences with orthogonal symmetry, man. 388 00:13:56,269 --> 00:13:57,905 - Oh, really? - Mm-hmm. 389 00:13:57,938 --> 00:13:59,873 Well, that's funny, 'cause that's the exact same thing. 390 00:13:59,907 --> 00:14:02,075 Resonances in quantum chaotic systems. 391 00:14:02,109 --> 00:14:03,610 That's a simplistic analysis. 392 00:14:03,643 --> 00:14:06,146 PENFIELD: You always were testy when challenged. 393 00:14:06,179 --> 00:14:08,181 You know, I was talking about that with Amita, um... 394 00:14:08,215 --> 00:14:09,216 You were, were you? 395 00:14:09,249 --> 00:14:12,519 Yeah, yeah, last night. 396 00:14:12,552 --> 00:14:14,621 We were hanging out, you know, got a little dinner, 397 00:14:14,654 --> 00:14:17,457 long conversation-- that doesn't bother you, does it? 398 00:14:17,490 --> 00:14:21,028 Marshall, do whatever you like. 399 00:14:21,061 --> 00:14:23,964 Just you remember, Amita's a sharp mathematician. 400 00:14:23,997 --> 00:14:26,199 So no matter how hard you try, 401 00:14:26,233 --> 00:14:31,471 you're never gonna get her to believe that this is six inches. 402 00:14:31,504 --> 00:14:35,042 I bet with you that subject's never come up. 403 00:14:36,109 --> 00:14:39,079 Ooh, math fight. 404 00:14:39,112 --> 00:14:42,215 Hey, that was carjacking victim number three. 405 00:14:42,249 --> 00:14:43,683 Just like in the home invasions, 406 00:14:43,716 --> 00:14:45,185 these robbers targeted specific items. 407 00:14:45,218 --> 00:14:47,620 They went right for his watch, which was 408 00:14:47,654 --> 00:14:48,655 hidden underneath his jacket. 409 00:14:48,688 --> 00:14:51,291 Carjacking victim number two they made give up 410 00:14:51,324 --> 00:14:52,559 a $55,000 ring. 411 00:14:52,592 --> 00:14:54,194 All right, so they're being followed, right? 412 00:14:54,227 --> 00:14:56,029 - Forced to pull over. - No, no. 413 00:14:56,063 --> 00:14:58,531 Carjacking victim number one locked her keys in her car. 414 00:14:58,565 --> 00:15:00,200 She called AAA on her cell phone, 415 00:15:00,233 --> 00:15:02,202 and ten minutes later, these guys showed up. 416 00:15:02,235 --> 00:15:04,004 Victim number two got lost, 417 00:15:04,037 --> 00:15:07,074 entered the destination into her navigation system. 418 00:15:07,107 --> 00:15:09,176 And victim number three ran out of gas. 419 00:15:09,209 --> 00:15:10,377 He called his 420 00:15:10,410 --> 00:15:12,645 onboard assistance service and spoke to a real operator, 421 00:15:12,679 --> 00:15:16,549 but the robbers got there first with a can of gas. 422 00:15:16,583 --> 00:15:19,119 It's like they're eavesdropping 423 00:15:19,152 --> 00:15:20,220 on their cell phones or something. 424 00:15:20,253 --> 00:15:21,221 Maybe, but that doesn't explain 425 00:15:21,254 --> 00:15:23,090 their knowledge of their personal possessions. 426 00:15:23,123 --> 00:15:25,492 And they all have different cell phone carriers. 427 00:15:25,525 --> 00:15:27,961 I mean, they're tapping into them somehow, right? 428 00:15:27,995 --> 00:15:28,828 Yeah. 429 00:15:28,861 --> 00:15:31,498 The question is, what's the common link? 430 00:15:34,067 --> 00:15:36,136 Just don't push the wrong button or else we'll be 431 00:15:36,169 --> 00:15:38,205 looking for that bullet the old-fashioned way. 432 00:15:38,238 --> 00:15:40,273 It's okay, all right, Charlie's already programmed 433 00:15:40,307 --> 00:15:43,610 the trajectory equations into the calculator. 434 00:15:43,643 --> 00:15:45,512 Yeah, we have the origin point of the shot. 435 00:15:45,545 --> 00:15:46,746 The equations will generate 436 00:15:46,779 --> 00:15:49,049 high probability areas for a search. 437 00:15:49,082 --> 00:15:51,751 It's you plugging in those variables that has me worried. 438 00:15:51,784 --> 00:15:54,021 Hey, man, it's only two variables, okay? 439 00:15:54,054 --> 00:15:54,954 We got muzzle velocity 440 00:15:54,988 --> 00:15:56,456 and inclination of the weapon when fired. 441 00:15:56,489 --> 00:15:57,524 I can handle it. 442 00:15:57,557 --> 00:16:00,460 At least I've used a graphing calculator before. 443 00:16:00,493 --> 00:16:01,761 Really? You have? 444 00:16:01,794 --> 00:16:03,096 High school, man. 445 00:16:03,130 --> 00:16:03,963 Why? You didn't? 446 00:16:03,997 --> 00:16:06,233 I went to high school in the Bronx. 447 00:16:07,700 --> 00:16:10,203 Get your gear. We found Roley. 448 00:16:10,237 --> 00:16:11,171 He's the fence that sold 449 00:16:11,204 --> 00:16:13,073 that stolen lamp to the antique store, right? 450 00:16:13,106 --> 00:16:15,142 Yeah, we're setting up a buy. 451 00:16:17,110 --> 00:16:18,178 Hey, Charlie. 452 00:16:18,211 --> 00:16:19,312 Hey. 453 00:16:19,346 --> 00:16:20,413 What's going on? 454 00:16:20,447 --> 00:16:23,283 I was doing my work from my, uh, city planning days. 455 00:16:23,316 --> 00:16:24,784 See, I'm taking it all down 456 00:16:24,817 --> 00:16:28,321 to the offices that we're leasing now. 457 00:16:28,355 --> 00:16:30,690 You're really starting a consulting company 458 00:16:30,723 --> 00:16:31,691 with Stan Fischer, huh? 459 00:16:31,724 --> 00:16:33,660 Why not? You know, I miss work. 460 00:16:33,693 --> 00:16:36,596 Now I can be my own boss and I can concentrate on the aspects 461 00:16:36,629 --> 00:16:39,732 of design and planning that I always enjoyed, myself. 462 00:16:39,766 --> 00:16:41,134 It's a big investment. 463 00:16:41,168 --> 00:16:43,470 Oh... I have money. 464 00:16:43,503 --> 00:16:45,238 Thanks to you buying this house 465 00:16:45,272 --> 00:16:46,339 at the asking price. 466 00:16:46,373 --> 00:16:47,707 So you're not worried about the risk? 467 00:16:47,740 --> 00:16:48,708 ( grunts ) 468 00:16:48,741 --> 00:16:50,643 Well, that's business. 469 00:16:50,677 --> 00:16:52,645 In fact, that's life. 470 00:16:54,647 --> 00:16:57,117 You know, I never really wanted to retire. 471 00:16:57,150 --> 00:17:04,391 But when your mother got sick, there really wasn't much choice. 472 00:17:04,424 --> 00:17:07,227 And now, I have a choice. 473 00:17:07,260 --> 00:17:10,230 I'm really happy for you, Dad. 474 00:17:13,166 --> 00:17:17,070 You okay? 475 00:17:17,104 --> 00:17:21,174 You seem a little, uh... stressed. 476 00:17:21,208 --> 00:17:22,109 Yeah. 477 00:17:24,244 --> 00:17:25,678 Why? What's wrong? 478 00:17:25,712 --> 00:17:30,483 Marshall Penfield, fellow Princeton graduate, 479 00:17:30,517 --> 00:17:34,554 has come here to rip apart five years of my work. 480 00:17:34,587 --> 00:17:36,289 And it's made me realize 481 00:17:36,323 --> 00:17:39,592 that I haven't focused on anything new since then. 482 00:17:39,626 --> 00:17:42,429 I've been wasting my time with this stuff for Don. 483 00:17:42,462 --> 00:17:43,496 Oh, come on. 484 00:17:43,530 --> 00:17:46,133 You don't mean wasting your time. 485 00:17:46,166 --> 00:17:47,267 You're right, I don't. 486 00:17:47,300 --> 00:17:49,769 I'm not wasting my time, I'm just... 487 00:17:49,802 --> 00:17:52,172 so easily distracted. 488 00:17:52,205 --> 00:17:55,408 Yeah, well, it's more like, you're easily fascinated. 489 00:17:55,442 --> 00:17:58,245 I need to devote myself to something significant 490 00:17:58,278 --> 00:18:03,683 in my field-- important to other mathematicians. 491 00:18:03,716 --> 00:18:06,253 Yeah, well, you know what I think, Charlie? 492 00:18:06,286 --> 00:18:09,256 I think your life's work should be what you find important. 493 00:18:29,942 --> 00:18:31,378 Are you the lady 494 00:18:31,411 --> 00:18:32,579 Jay sent over from his store? 495 00:18:32,612 --> 00:18:33,646 Yeah. 496 00:18:33,680 --> 00:18:35,715 He said you get him some of his best inventory. 497 00:18:35,748 --> 00:18:38,585 I'm Roley. 498 00:18:38,618 --> 00:18:40,387 - This here's Timmy. - Hi. 499 00:18:40,420 --> 00:18:43,490 Sorry to make you come out so late, but you know how it is. 500 00:18:43,523 --> 00:18:45,492 Oh, I've been to worse neighborhoods. 501 00:18:50,830 --> 00:18:54,801 So, let's see if we could do a little business. 502 00:18:54,834 --> 00:18:56,169 You, uh, brought money, right? 503 00:18:56,203 --> 00:18:57,737 Oh, I brought better than money. 504 00:18:57,770 --> 00:19:00,173 AGENTS: FBI! FBI! 505 00:19:01,241 --> 00:19:02,742 Get down! 506 00:19:02,775 --> 00:19:03,910 FBI! 507 00:19:03,943 --> 00:19:05,245 You stop right there! Stop! 508 00:19:05,278 --> 00:19:06,446 Drop on your knees! 509 00:19:06,479 --> 00:19:07,580 Hands behind your head! 510 00:19:17,590 --> 00:19:19,359 You know where this came from, right? 511 00:19:19,392 --> 00:19:21,461 I'm really not one to ask that many questions. 512 00:19:21,494 --> 00:19:22,161 No? Maybe you ought to 513 00:19:22,195 --> 00:19:23,963 rub it three times and find out 514 00:19:23,996 --> 00:19:25,432 where it's about to send you. 515 00:19:32,872 --> 00:19:35,508 This is a list of everything that was 516 00:19:35,542 --> 00:19:36,209 in your storage unit. 517 00:19:36,243 --> 00:19:38,245 And this is a list of everything 518 00:19:38,278 --> 00:19:40,513 that was stolen from seven home invasions. 519 00:19:40,547 --> 00:19:41,948 They're kind of similar. 520 00:19:41,981 --> 00:19:43,383 I had no part of that. 521 00:19:44,384 --> 00:19:45,818 Having this stuff makes you 522 00:19:45,852 --> 00:19:47,420 - a part of that. - I'm telling you, 523 00:19:47,454 --> 00:19:49,356 I am not that kind of guy. 524 00:19:49,389 --> 00:19:50,657 You got a nice painting 525 00:19:50,690 --> 00:19:52,559 or a good piece of period furniture, 526 00:19:52,592 --> 00:19:53,493 I can find you a buyer. 527 00:19:53,526 --> 00:19:55,462 Who's not gonna ask too many questions. 528 00:19:55,495 --> 00:19:56,396 That's right. 529 00:19:57,530 --> 00:19:58,498 I find people with money 530 00:19:58,531 --> 00:20:00,867 who are interested in deals on luxury items. 531 00:20:00,900 --> 00:20:02,535 That's my niche. 532 00:20:02,569 --> 00:20:04,671 Killing? Not my niche. 533 00:20:04,704 --> 00:20:06,539 Well, how'd you get all this stuff? 534 00:20:06,573 --> 00:20:09,676 It wasn't from any crew, it was just... it was two guys. 535 00:20:09,709 --> 00:20:12,879 And how'd you meet them? 536 00:20:12,912 --> 00:20:15,348 They came up to me at a bar, 537 00:20:15,382 --> 00:20:18,851 said they knew me by reputation. 538 00:20:18,885 --> 00:20:23,523 And what makes you think that these guys aren't robbers? 539 00:20:23,556 --> 00:20:26,593 One of them was dressed better than my lawyer. 540 00:20:26,626 --> 00:20:30,497 And the other guy, he was just a total geek. 541 00:20:30,530 --> 00:20:32,499 I'm gonna need their names. 542 00:20:32,532 --> 00:20:34,534 Mr. Brown, Mr. Gray. 543 00:20:34,567 --> 00:20:36,536 ( chuckles ) 544 00:20:36,569 --> 00:20:38,271 That's all I know. 545 00:20:38,305 --> 00:20:41,007 Then I feel sorry for you, Roley. 546 00:20:41,040 --> 00:20:43,443 Wait a minute. 547 00:20:43,476 --> 00:20:44,911 All right, these guys, 548 00:20:44,944 --> 00:20:48,415 they're not barehanders, all right? 549 00:20:48,448 --> 00:20:49,482 They're way too business. 550 00:20:49,516 --> 00:20:50,350 How so? 551 00:20:50,383 --> 00:20:51,618 For one thing, they gave me a list, 552 00:20:51,651 --> 00:20:52,819 like this one. 553 00:20:52,852 --> 00:20:55,722 With everything they were gonna bring me weeks in advance. 554 00:20:55,755 --> 00:20:58,491 Said it was so I could locate buyers ahead of time. 555 00:20:58,525 --> 00:20:59,426 MEGAN: Roley's description of the men 556 00:20:59,459 --> 00:21:02,662 he dealt with don't match what we have. 557 00:21:02,695 --> 00:21:05,532 So then, we could be looking for five different guys? 558 00:21:05,565 --> 00:21:06,999 Maybe not five different guys, 559 00:21:07,033 --> 00:21:09,936 but maybe two guys that case it and three guys that do 560 00:21:09,969 --> 00:21:11,338 the actual robbery. 561 00:21:11,371 --> 00:21:13,640 I'm telling you, the cell phones tie into it. 562 00:21:13,673 --> 00:21:15,642 Yeah, but every single person uses a different service. 563 00:21:15,675 --> 00:21:17,544 And how would they know what's in the homes? 564 00:21:17,577 --> 00:21:18,778 And what about the data mining? 565 00:21:18,811 --> 00:21:19,646 I'm working it. 566 00:21:19,679 --> 00:21:21,514 The analysis finds all kinds of links 567 00:21:21,548 --> 00:21:23,383 and I have to gauge which ones are meaningful. 568 00:21:23,416 --> 00:21:24,617 For instance, the data mining found 569 00:21:24,651 --> 00:21:25,852 that all the victims buy bottled water. 570 00:21:25,885 --> 00:21:26,986 Well, that's meaningless. 571 00:21:27,019 --> 00:21:29,622 CHARLIE: When Army intelligence tried to use data mining 572 00:21:29,656 --> 00:21:30,757 to spot commonalities between terrorist attacks, 573 00:21:30,790 --> 00:21:33,560 one of the people it picked out was Condoleezza Rice. 574 00:21:33,593 --> 00:21:36,363 Okay, so it's thorough, but it's not discriminating? 575 00:21:36,396 --> 00:21:37,630 Whatever you can do, Charlie. 576 00:21:37,664 --> 00:21:40,533 You're the one who said we're talking about three days here. 577 00:21:40,567 --> 00:21:42,702 - Yeah, I know. - No pressure. 578 00:22:05,892 --> 00:22:08,094 DAVID: A variable two-way muzzle velocity. 579 00:22:08,127 --> 00:22:09,562 We're working with a nine millimeter, 580 00:22:09,596 --> 00:22:11,464 but these guys like to play rough. 581 00:22:11,498 --> 00:22:13,400 Now, I'm thinking they're packing something stronger. 582 00:22:13,433 --> 00:22:14,734 Yeah, but muzzle velocity changes 583 00:22:14,767 --> 00:22:16,503 with the grain of the bullet, anyway. 584 00:22:16,536 --> 00:22:17,504 The heavier the projectile, 585 00:22:17,537 --> 00:22:18,137 the slower it goes. 586 00:22:18,170 --> 00:22:19,138 Right. 587 00:22:19,171 --> 00:22:20,507 Okay, let's just say, 588 00:22:20,540 --> 00:22:21,774 you're a guy into invading people's homes, 589 00:22:21,808 --> 00:22:23,610 and you're getting off on messing them up. 590 00:22:23,643 --> 00:22:24,377 Right. 591 00:22:24,411 --> 00:22:25,077 What's your weapon of choice? 592 00:22:25,111 --> 00:22:27,113 Semi-automatic with a big clip. 593 00:22:27,146 --> 00:22:28,448 Lots of stopping power. 594 00:22:28,481 --> 00:22:30,983 .45 ACP, 180 grain rounds. 595 00:22:31,017 --> 00:22:32,719 That's a muzzle velocity of 1,200 feet per second. 596 00:22:32,752 --> 00:22:34,454 Oh, yeah, man, 597 00:22:34,487 --> 00:22:35,422 plug that one in. 598 00:22:37,624 --> 00:22:40,993 The development of any type of representation theory 599 00:22:41,027 --> 00:22:43,430 is usually split into two stages. 600 00:22:43,463 --> 00:22:45,532 The first is a description 601 00:22:45,565 --> 00:22:46,633 of all elementary representations. 602 00:22:46,666 --> 00:22:49,436 The second consists of constructing 603 00:22:49,469 --> 00:22:51,971 certain natural representations of the group, 604 00:22:52,004 --> 00:22:54,907 and decomposing them into irreducible ones. 605 00:22:54,941 --> 00:22:59,045 What we see when we get deeper into the Eppes Convergence, 606 00:22:59,078 --> 00:23:03,450 is a small and, until now, undetectable 607 00:23:03,483 --> 00:23:05,418 conceptual roadblock. 608 00:23:05,452 --> 00:23:07,454 It's an expression, 609 00:23:07,487 --> 00:23:13,059 floating through these equations like a tiny blood clot, 610 00:23:13,092 --> 00:23:15,728 until it lands here, 611 00:23:15,762 --> 00:23:19,065 at the infinite-dimensional simplex, 612 00:23:19,098 --> 00:23:23,636 which causes a stroke to the entire theory. 613 00:23:28,475 --> 00:23:30,677 Maybe these guys are into revolvers. 614 00:23:30,710 --> 00:23:32,512 You know, a nice little .38, 615 00:23:32,545 --> 00:23:34,514 or a .357, maybe. 616 00:23:34,547 --> 00:23:36,483 I'm telling you, man, they're physical, 617 00:23:36,516 --> 00:23:37,817 they're pumped, they're flush with cash. 618 00:23:37,850 --> 00:23:39,051 These guys buy a gun, 619 00:23:39,085 --> 00:23:42,188 it's going to be a .40 caliber 45 hk. 620 00:23:42,221 --> 00:23:44,591 David, we can talk muzzle velocities all day long. 621 00:23:44,624 --> 00:23:46,058 But if this joker fired straight up, 622 00:23:46,092 --> 00:23:47,660 it doesn't matter, 623 00:23:47,694 --> 00:23:49,228 because the bullet would have landed right here, 624 00:23:49,261 --> 00:23:50,630 within a 50-foot radius 625 00:23:50,663 --> 00:23:51,898 of where the guy fired from. 626 00:23:51,931 --> 00:23:53,533 So, the question is: 627 00:23:53,566 --> 00:23:56,102 do you think it's possible that he actually fired straight? 628 00:23:56,135 --> 00:23:58,004 Yup, I do think it's possible. 629 00:23:58,037 --> 00:23:59,839 Yeah? Based on what? 630 00:23:59,872 --> 00:24:02,942 Based on I just found the bullet. 631 00:24:08,648 --> 00:24:09,816 Charlie? 632 00:24:09,849 --> 00:24:11,718 He does have a valid point 633 00:24:11,751 --> 00:24:15,021 about the end-point process on the one-dimensional lattice. 634 00:24:15,054 --> 00:24:16,923 Right. 635 00:24:16,956 --> 00:24:18,525 Penfield's blood clot 636 00:24:18,558 --> 00:24:19,859 to my brain. 637 00:24:19,892 --> 00:24:22,161 Or was it the torpedo in the engine room analogy? 638 00:24:22,194 --> 00:24:23,796 I forget. 639 00:24:23,830 --> 00:24:25,965 Hey, Amita, there you are. 640 00:24:25,998 --> 00:24:28,067 You still up for Pie n' Burger? 641 00:24:28,100 --> 00:24:29,736 Sure, let me grab my stuff. 642 00:24:30,703 --> 00:24:31,871 Hey, Eppesy. 643 00:24:31,904 --> 00:24:34,807 Heard you got a substance abuse problem 644 00:24:34,841 --> 00:24:35,808 with lemon meringue. 645 00:24:35,842 --> 00:24:37,677 It's a "gateway" pie, you know. 646 00:24:37,710 --> 00:24:40,146 Why don't you come meet us out front? 647 00:24:40,179 --> 00:24:41,748 You know, there's a whole crowd 648 00:24:41,781 --> 00:24:42,715 of people going. 649 00:24:42,749 --> 00:24:43,650 I'll pass. 650 00:24:53,025 --> 00:24:54,761 What's the matter? 651 00:24:54,794 --> 00:24:57,797 I can't make any headway on this FBI case. 652 00:24:57,830 --> 00:25:02,835 And... there's my life's work... 653 00:25:02,869 --> 00:25:04,270 going up in flames. 654 00:25:06,706 --> 00:25:08,741 Well, you're spreading yourself really thin. 655 00:25:08,775 --> 00:25:11,243 You're spending a lot of time with Marshall. 656 00:25:11,277 --> 00:25:13,980 He's an interesting thinker. 657 00:25:14,013 --> 00:25:15,782 It's not a big deal, Charlie. 658 00:25:15,815 --> 00:25:18,284 You've got your FBI work, 659 00:25:18,317 --> 00:25:19,852 your teaching, your research... 660 00:25:19,886 --> 00:25:21,888 Yeah, and you've got your astrophysics work, 661 00:25:21,921 --> 00:25:23,790 your work with Dr. Keppler. 662 00:25:23,823 --> 00:25:24,791 I know. 663 00:25:24,824 --> 00:25:27,827 I'm focused on my work. 664 00:25:27,860 --> 00:25:32,298 I'm not sure that I want to focus myself socially right now. 665 00:25:32,331 --> 00:25:34,233 I guess I can understand that. 666 00:25:39,071 --> 00:25:40,840 You sure you don't want some pie? 667 00:25:40,873 --> 00:25:42,241 No, I... 668 00:25:42,274 --> 00:25:43,242 Go eat pie. 669 00:25:43,275 --> 00:25:44,010 Please. 670 00:25:44,043 --> 00:25:44,944 I need to think. 671 00:25:45,878 --> 00:25:46,779 Okay. 672 00:26:00,092 --> 00:26:02,962 Do you two realize what's in here? 673 00:26:02,995 --> 00:26:03,763 Well, in your case, 674 00:26:03,796 --> 00:26:04,997 a lot of unanswered voice mails. 675 00:26:05,031 --> 00:26:06,098 I can tell you that. 676 00:26:06,132 --> 00:26:08,601 After 9/11, the FCC mandated 677 00:26:08,635 --> 00:26:10,970 that all cell phones be able to locate people 678 00:26:11,003 --> 00:26:12,038 in the event of an emergency. 679 00:26:12,071 --> 00:26:13,039 Oh, right. 680 00:26:13,072 --> 00:26:13,840 That a GPS locator chip 681 00:26:13,873 --> 00:26:15,742 has to be put in every new phone 682 00:26:15,775 --> 00:26:16,709 by 2005. 683 00:26:16,743 --> 00:26:18,611 And newer phones can be used to track people 684 00:26:18,645 --> 00:26:19,812 within a range of 30 feet. 685 00:26:19,846 --> 00:26:22,815 But you're still going to need access to classified data. 686 00:26:22,849 --> 00:26:24,250 Are you saying that these robbers 687 00:26:24,283 --> 00:26:26,919 have figured out how to intercept encrypted material 688 00:26:26,953 --> 00:26:28,054 from a military satellite? 689 00:26:28,087 --> 00:26:29,756 No, that's impossible. 690 00:26:29,789 --> 00:26:33,259 Listen, somehow they've gotten that GPS information. 691 00:26:33,292 --> 00:26:35,294 They've gotten into the phones. 692 00:26:35,327 --> 00:26:37,163 But that doesn't explain how they knew who to rob. 693 00:26:37,196 --> 00:26:39,666 Look, this is a two-part problem, okay? 694 00:26:39,699 --> 00:26:41,333 Part one: How do they know who to rob? 695 00:26:41,367 --> 00:26:44,771 And part two: How do they know where the victims are? 696 00:26:44,804 --> 00:26:46,005 The phone is the key to part two-- 697 00:26:46,038 --> 00:26:47,006 locating victims. 698 00:26:47,039 --> 00:26:48,841 Part one: how they know 699 00:26:48,875 --> 00:26:50,843 who owns what, I still can't tell you. 700 00:26:50,877 --> 00:26:51,978 But you can be positive 701 00:26:52,011 --> 00:26:54,881 that all the families will have it in common. 702 00:26:56,282 --> 00:26:58,685 ALAN: Hey, Charlie, you seen my cell phone? 703 00:26:58,718 --> 00:27:00,953 I been looking all over for it, I can't find... 704 00:27:00,987 --> 00:27:02,388 What are you doing with it? 705 00:27:02,421 --> 00:27:04,290 We'll put it back together. 706 00:27:05,257 --> 00:27:06,225 You can't use 707 00:27:06,258 --> 00:27:07,259 one of your own? 708 00:27:07,293 --> 00:27:08,761 LARRY: Well, I refused to allow 709 00:27:08,795 --> 00:27:10,830 the small, quiet moments of my life 710 00:27:10,863 --> 00:27:13,733 to be invaded by these devices of distraction. 711 00:27:13,766 --> 00:27:14,901 Which means 712 00:27:14,934 --> 00:27:16,035 you don't have one? 713 00:27:16,068 --> 00:27:17,436 And I need mine. 714 00:27:17,469 --> 00:27:18,938 Look, Charlie, I'm not a homebound 715 00:27:18,971 --> 00:27:19,806 retiree anymore. 716 00:27:19,839 --> 00:27:20,807 I happen to be starting a new business. 717 00:27:20,840 --> 00:27:22,008 And having a cell phone might come in handy. 718 00:27:22,041 --> 00:27:22,909 Right? 719 00:27:22,942 --> 00:27:24,944 Look, you'll have it back in one hour. 720 00:27:24,977 --> 00:27:26,879 Dad, we need to look at your GPS chip. 721 00:27:26,913 --> 00:27:28,114 What do you need to do that for? 722 00:27:28,147 --> 00:27:29,916 Every new phone 723 00:27:29,949 --> 00:27:32,051 comes embedded with this tiny chip 724 00:27:32,084 --> 00:27:34,020 that acts as a global positioning receiver. 725 00:27:34,053 --> 00:27:35,955 And it's my theory 726 00:27:35,988 --> 00:27:37,056 that these home-invasion robbers 727 00:27:37,089 --> 00:27:38,891 are using them to track their victims. 728 00:27:38,925 --> 00:27:40,693 How would they do it? 729 00:27:40,727 --> 00:27:43,195 Well, a cell phone's essentially a radio. 730 00:27:43,229 --> 00:27:45,798 Whenever it's on, it's sending radio signals 731 00:27:45,832 --> 00:27:48,067 to let cell towers know where the phone is 732 00:27:48,100 --> 00:27:51,103 so a person can move from one cell zone to another 733 00:27:51,137 --> 00:27:52,839 without losing a call. 734 00:27:52,872 --> 00:27:53,906 At the same time, 735 00:27:53,940 --> 00:27:57,076 the GPS chip receives signals from outer space, 736 00:27:57,109 --> 00:28:01,180 specifically, from at least three geosynchronous satellites. 737 00:28:01,213 --> 00:28:02,114 Using the geometric method 738 00:28:02,148 --> 00:28:04,483 called "three-dimensional trilateration," 739 00:28:04,516 --> 00:28:06,919 the GPS chip uses the signals from the satellites 740 00:28:06,953 --> 00:28:10,256 to calculate its exact location on Earth. 741 00:28:10,289 --> 00:28:12,491 The data generated can be used by police, 742 00:28:12,524 --> 00:28:14,994 roadside assistance, emergency services, 743 00:28:15,027 --> 00:28:16,195 tracking truck fleets-- 744 00:28:16,228 --> 00:28:19,031 and even lets parents keep tabs on their teenage children. 745 00:28:19,065 --> 00:28:20,733 Ah, it's too "Big Brother" for me. 746 00:28:20,767 --> 00:28:22,468 I'll stick with my rotary dial-up. 747 00:28:22,501 --> 00:28:24,470 But intercepting these signals is really 748 00:28:24,503 --> 00:28:26,773 beyond the grasp of most criminals. 749 00:28:26,806 --> 00:28:28,741 ALAN: If all my years of working 750 00:28:28,775 --> 00:28:30,076 at Urban Infrastructure has taught me anything, 751 00:28:30,109 --> 00:28:31,744 it's that there's always somebody 752 00:28:31,778 --> 00:28:33,145 who gets into the system. 753 00:28:33,179 --> 00:28:38,017 MEGAN: Charlie was right. Three days on the button. 754 00:28:38,050 --> 00:28:41,120 Married couple, 74 and 77 years old. 755 00:28:41,153 --> 00:28:42,221 From the evidence, it looks like 756 00:28:42,254 --> 00:28:44,123 the man struggled with the robbers. 757 00:28:44,156 --> 00:28:44,824 DON: Yeah, they beat him to death, 758 00:28:44,857 --> 00:28:46,025 they got the woman over here. 759 00:28:46,058 --> 00:28:48,027 They strangled her. 760 00:28:48,060 --> 00:28:50,963 Doesn't look like they put up much of a fight. 761 00:28:50,997 --> 00:28:52,464 MEGAN: They're acting more frequently, 762 00:28:52,498 --> 00:28:54,466 and killing more readily. 763 00:29:00,239 --> 00:29:02,008 I am crossing my fingers that this has to be 764 00:29:02,041 --> 00:29:03,009 the bullet from the carjacking. 765 00:29:03,042 --> 00:29:04,010 DAVID: Not a lot of bullets 766 00:29:04,043 --> 00:29:05,244 lying around Brentwood. 767 00:29:05,277 --> 00:29:07,213 No, it's more of a slash-your-throat 768 00:29:07,246 --> 00:29:08,514 kind of neighborhood. 769 00:29:08,547 --> 00:29:09,816 Well, we're running the slug 770 00:29:09,849 --> 00:29:11,851 through the ATF Bullet Trap database, 771 00:29:11,884 --> 00:29:13,953 hoping to match the gun it was fired from 772 00:29:13,986 --> 00:29:15,254 to a previous crime. 773 00:29:16,522 --> 00:29:18,090 We need this lead. 774 00:29:18,124 --> 00:29:20,126 And after eight hits, 775 00:29:20,159 --> 00:29:21,293 they're going to think they're invincible. 776 00:29:21,327 --> 00:29:24,230 That we can't catch them. 777 00:29:24,263 --> 00:29:25,297 They're going to be more reckless, 778 00:29:25,331 --> 00:29:26,966 more dangerous. 779 00:29:28,467 --> 00:29:30,069 Bingo. 780 00:29:31,270 --> 00:29:32,538 LARRY: Yeah, I heard on the radio-- 781 00:29:32,571 --> 00:29:34,006 two more people killed 782 00:29:34,040 --> 00:29:35,374 by these robbers Don is trying to catch. 783 00:29:35,407 --> 00:29:37,076 Yeah. It's bad. 784 00:29:37,109 --> 00:29:39,378 And the data mining is not yielding any connections 785 00:29:39,411 --> 00:29:40,379 you can work with? 786 00:29:40,412 --> 00:29:41,347 Well, it's hard to say. 787 00:29:41,380 --> 00:29:42,448 You know, one commonality 788 00:29:42,481 --> 00:29:45,251 that the analysis keeps highlighting is cell phones. 789 00:29:45,284 --> 00:29:46,385 But, you know, everyone has cell phones. 790 00:29:46,418 --> 00:29:47,954 Then there's a second commonality, 791 00:29:47,987 --> 00:29:51,323 that has no defined value. 792 00:29:51,357 --> 00:29:54,026 The algorithm keeps pointing out 793 00:29:54,060 --> 00:29:59,899 that the families all have rare, collectible items. 794 00:29:59,932 --> 00:30:01,433 And all were insured. 795 00:30:01,467 --> 00:30:03,102 You really should get this program to Amita. 796 00:30:03,135 --> 00:30:06,038 She is the best coder we've got. 797 00:30:06,072 --> 00:30:07,907 I don't think this is where the problem is. 798 00:30:07,940 --> 00:30:10,843 And... Amita's off chilling with Penfield. 799 00:30:10,877 --> 00:30:12,411 Well, he is a brilliant mathematician 800 00:30:12,444 --> 00:30:14,480 and, I assume, a sparkling conversationalist. 801 00:30:14,513 --> 00:30:15,481 Are you serious? 802 00:30:15,514 --> 00:30:16,615 Oh, you're great. 803 00:30:16,648 --> 00:30:19,451 You're just another member of the Penfield Fan Club. 804 00:30:19,485 --> 00:30:20,286 Right? 805 00:30:20,319 --> 00:30:22,154 Well, I do understand his analysis 806 00:30:22,188 --> 00:30:25,457 of the Eppes Convergence was a bit pointed. 807 00:30:25,491 --> 00:30:27,326 I'll admit, he's a bright fellow. 808 00:30:27,359 --> 00:30:29,461 He's got all sorts of insight. 809 00:30:29,495 --> 00:30:31,497 But he's so full of himself. 810 00:30:31,530 --> 00:30:34,500 He's so annoyingly confident. 811 00:30:34,533 --> 00:30:36,869 "Certainly in extending the calculation for S 812 00:30:36,903 --> 00:30:39,338 "to the infinite unitary group, 813 00:30:39,371 --> 00:30:41,874 "it would be obvious to anyone 814 00:30:41,908 --> 00:30:42,875 "that my genius would mandate-- 815 00:30:42,909 --> 00:30:43,675 "upon my death-- 816 00:30:43,709 --> 00:30:45,912 "the inclusion of my brain 817 00:30:45,945 --> 00:30:47,146 in the Smithsonian." 818 00:30:47,179 --> 00:30:49,115 I would actually prefer 819 00:30:49,148 --> 00:30:50,549 someone take my brain on a road trip 820 00:30:50,582 --> 00:30:52,151 like they did with Einstein's. 821 00:30:52,184 --> 00:30:53,085 But... 822 00:30:53,920 --> 00:30:54,887 Hey, Charlie. 823 00:30:54,921 --> 00:30:55,955 Hello. 824 00:30:57,223 --> 00:30:58,024 Charlie, Marshall and I 825 00:30:58,057 --> 00:31:00,426 went to your office looking for you, 826 00:31:00,459 --> 00:31:02,094 and we kind of saw 827 00:31:02,128 --> 00:31:03,129 what was on the chalkboard. 828 00:31:03,162 --> 00:31:04,296 ( mouths words ) 829 00:31:04,330 --> 00:31:05,397 PENFIELD: Yeah, you had a problem 830 00:31:05,431 --> 00:31:06,465 that was of interest to me 831 00:31:06,498 --> 00:31:09,401 because it relates to my main field-set theory. 832 00:31:09,435 --> 00:31:10,402 Oh, well... 833 00:31:10,436 --> 00:31:12,071 This is it, isn't it? 834 00:31:12,104 --> 00:31:14,340 This is the same thing right here. 835 00:31:14,373 --> 00:31:16,108 Could be. 836 00:31:16,142 --> 00:31:17,977 Why? 837 00:31:18,010 --> 00:31:20,446 Marshall's new research at Princeton 838 00:31:20,479 --> 00:31:21,413 is inset theory, 839 00:31:21,447 --> 00:31:25,051 in something he calls "deep current" sets. 840 00:31:25,084 --> 00:31:25,985 What are those? 841 00:31:27,453 --> 00:31:28,420 Chalk. 842 00:31:30,489 --> 00:31:32,158 Connections between groups 843 00:31:32,191 --> 00:31:33,325 that are hard to detect, 844 00:31:33,359 --> 00:31:37,496 but that affect all the other sets. 845 00:31:39,065 --> 00:31:42,001 Kind of like how currents beneath the ocean surface 846 00:31:42,034 --> 00:31:43,569 can influence the weather patterns 847 00:31:43,602 --> 00:31:46,005 in the atmosphere. 848 00:31:46,038 --> 00:31:48,407 There's something underneath we can't see. 849 00:31:51,543 --> 00:31:53,545 Things that seem to have no connection 850 00:31:53,579 --> 00:31:55,481 are all linked 851 00:31:55,514 --> 00:31:57,083 by a common factor. 852 00:31:57,116 --> 00:31:58,350 Marshall, have you developed 853 00:31:58,384 --> 00:32:00,586 methods of analysis to help you define 854 00:32:00,619 --> 00:32:02,054 the unidentified connections? 855 00:32:02,088 --> 00:32:03,555 Oh, yeah, sure. 856 00:32:03,589 --> 00:32:04,723 Even if I can't 857 00:32:04,756 --> 00:32:06,492 tell you where the deep current is, 858 00:32:06,525 --> 00:32:08,995 I can tell you were to look. 859 00:32:10,462 --> 00:32:13,132 MEGAN: But, Charlie, all eight families 860 00:32:13,165 --> 00:32:14,733 have different insurance companies. 861 00:32:14,766 --> 00:32:16,435 Sure, but the data mining found that there's 862 00:32:16,468 --> 00:32:18,504 a powerful connection between the victims, 863 00:32:18,537 --> 00:32:20,139 And it's not something we can see. 864 00:32:20,172 --> 00:32:23,409 It's an unseen set, a deep current set. 865 00:32:23,442 --> 00:32:25,577 - I'm sure that means something. - Right. 866 00:32:25,611 --> 00:32:28,480 The victims' families all had high-end valuables, 867 00:32:28,514 --> 00:32:30,749 Like the Dirk Van Erp lamp that you guys tracked down, right? 868 00:32:30,782 --> 00:32:33,685 Right, that the robbers all knew about in advance. 869 00:32:33,719 --> 00:32:35,254 The victims' families all had 870 00:32:35,287 --> 00:32:38,224 different insurance companies, but my analysis suggests 871 00:32:38,257 --> 00:32:40,326 that the insurance companies have something in common. 872 00:32:40,359 --> 00:32:41,460 Like what? 873 00:32:41,493 --> 00:32:44,630 Well, apparently, when covering rare, high-cost items, 874 00:32:44,663 --> 00:32:46,698 insurance companies often purchase a rider, 875 00:32:46,732 --> 00:32:49,635 a backup policy from another firm. 876 00:32:49,668 --> 00:32:51,437 Yeah, insurance riders, of course... 877 00:32:51,470 --> 00:32:54,373 which wouldn't show up on a criminal report, 878 00:32:54,406 --> 00:32:57,009 because the customers don't even know they have them! 879 00:32:57,043 --> 00:32:59,145 Colby, Charlie's got a good idea-- check out if any 880 00:32:59,178 --> 00:33:00,779 of the insurance carriers bought any riders from the same firm. 881 00:33:00,812 --> 00:33:02,481 CHARLIE: If I'm right, you'll find a company 882 00:33:02,514 --> 00:33:03,515 common to several victims. 883 00:33:03,549 --> 00:33:04,383 And someone with access 884 00:33:04,416 --> 00:33:05,451 to that company's list of clients... 885 00:33:05,484 --> 00:33:07,786 ...would know how to hack into cell phone signals. 886 00:33:07,819 --> 00:33:10,089 Megan, get a list of local employees with criminal records 887 00:33:10,122 --> 00:33:11,090 from the wireless companies. 888 00:33:11,123 --> 00:33:12,591 - All right? - I have that. 889 00:33:12,624 --> 00:33:13,625 Very fast. 890 00:33:13,659 --> 00:33:14,993 Thank you. 891 00:33:18,264 --> 00:33:20,666 Don, I already looked at three of them. 892 00:33:20,699 --> 00:33:22,401 They used the same underwriter. 893 00:33:22,434 --> 00:33:23,702 It's a BTL, Limited, so I'm gonna check, 894 00:33:23,735 --> 00:33:25,171 see if I can get employee lists. 895 00:33:25,204 --> 00:33:26,038 DON: Good. Great. 896 00:33:26,072 --> 00:33:27,439 Now, compare that list to Megan's list, 897 00:33:27,473 --> 00:33:28,574 and maybe we'll find one guy 898 00:33:28,607 --> 00:33:29,708 on both. 899 00:33:29,741 --> 00:33:33,045 No, we're looking for two guys, Mr. Brown, and Mr. Gray. 900 00:33:33,079 --> 00:33:34,313 Remember, one will know cell phones, 901 00:33:34,346 --> 00:33:36,082 one's gonna know insurance. 902 00:33:36,115 --> 00:33:38,550 This is the FBI's version of data mining, 903 00:33:38,584 --> 00:33:40,452 finding links the old-fashioned way. 904 00:33:40,486 --> 00:33:42,588 Oh, yeah, by hand and by luck. 905 00:33:42,621 --> 00:33:44,590 Here we go, Herbert Quilty, 906 00:33:44,623 --> 00:33:46,692 service tech for Vertech Wireless. 907 00:33:46,725 --> 00:33:49,261 Two years ago, pled guilty to selling 908 00:33:49,295 --> 00:33:50,662 stolen cell phones, 909 00:33:50,696 --> 00:33:51,830 served three months in county gail. 910 00:33:51,863 --> 00:33:53,832 What's his link to the insurance company? 911 00:33:53,865 --> 00:33:57,203 Same time as Quilty was in jail, a guy named Thomas Maynard 912 00:33:57,236 --> 00:33:59,371 was serving weekends on a DUI conviction, 913 00:33:59,405 --> 00:34:01,140 Maynard was a supervisor 914 00:34:01,173 --> 00:34:02,508 at BTL Underwriters. 915 00:34:02,541 --> 00:34:03,575 How did Roley put it? 916 00:34:03,609 --> 00:34:04,810 "One dresses better than my lawyer, 917 00:34:04,843 --> 00:34:06,278 - Right. - and one is a total geek." 918 00:34:15,754 --> 00:34:16,688 Freeze! 919 00:34:16,722 --> 00:34:18,390 Hands behind your head! Down on your knees! 920 00:34:18,424 --> 00:34:20,526 Down! 921 00:34:22,694 --> 00:34:24,630 Herbert Quilty, you're under arrest for murder. 922 00:34:24,663 --> 00:34:26,498 All right. 923 00:34:26,532 --> 00:34:27,766 I had that wine at Morton's 924 00:34:27,799 --> 00:34:28,734 last week. 925 00:34:30,836 --> 00:34:32,671 FBI! Get on the ground! 926 00:34:32,704 --> 00:34:33,639 On your knees! 927 00:34:33,672 --> 00:34:34,740 Down! 928 00:34:34,773 --> 00:34:35,541 Okay! 929 00:34:35,574 --> 00:34:37,409 Hands behind your back, Maynard! 930 00:34:39,611 --> 00:34:42,148 You're working with some nasty dudes, Maynard. 931 00:34:42,181 --> 00:34:43,849 Where'd you meet guys like this? 932 00:34:43,882 --> 00:34:47,119 Weekend lockup seems a bit tame for stone killers. 933 00:34:47,153 --> 00:34:49,855 No evidence connects me to any crimes. 934 00:34:49,888 --> 00:34:54,593 Can't control these guys, can you? 935 00:34:54,626 --> 00:34:57,729 Thought you were getting into the robbery business. 936 00:34:57,763 --> 00:34:59,198 They switched the game on you, didn't they? 937 00:35:03,169 --> 00:35:07,239 You set it up so they could stalk their victims, 938 00:35:07,273 --> 00:35:08,474 in their homes, 939 00:35:08,507 --> 00:35:09,475 in their cars. 940 00:35:09,508 --> 00:35:10,576 That puts you right 941 00:35:10,609 --> 00:35:11,710 in the middle of things. 942 00:35:11,743 --> 00:35:14,146 Walter Gordon. 943 00:35:14,180 --> 00:35:16,615 His friends call him "Demento." 944 00:35:16,648 --> 00:35:19,785 Leader of a San Fernando Valley skinhead gang. 945 00:35:19,818 --> 00:35:21,453 Hmm? 946 00:35:21,487 --> 00:35:23,422 Never seen him before in my life. 947 00:35:23,455 --> 00:35:25,824 Yes, you have. 948 00:35:25,857 --> 00:35:27,593 What happens to you now? 949 00:35:27,626 --> 00:35:29,561 What do you think he's gonna do to you 950 00:35:29,595 --> 00:35:31,930 the next time the two of you run into each other? 951 00:35:31,963 --> 00:35:33,632 And what about your family? 952 00:35:33,665 --> 00:35:38,637 If you're locked up, and he's still out there? 953 00:35:38,670 --> 00:35:41,773 They weren't supposed to hurt anyone. 954 00:35:41,807 --> 00:35:45,844 That's all on them. 955 00:35:46,945 --> 00:35:49,448 I picked people from the company files. 956 00:35:49,481 --> 00:35:50,849 Quilty rigged the phones. 957 00:35:50,882 --> 00:35:52,851 With GPS to the node signal. 958 00:35:52,884 --> 00:35:54,620 MAYNARD: Demento's crazy. 959 00:35:54,653 --> 00:35:57,423 I tried to keep him to a schedule, 960 00:35:57,456 --> 00:35:58,857 but he wanted to move faster and faster 961 00:35:58,890 --> 00:36:00,592 He decided to pull these carjackings. 962 00:36:00,626 --> 00:36:04,730 Said he wanted to be known for selling expensive wheels. 963 00:36:04,763 --> 00:36:06,732 Nice timing on the photo. 964 00:36:06,765 --> 00:36:08,667 DAVID: Forensics matched the bullet we found in Brentwood 965 00:36:08,700 --> 00:36:11,703 to one shot through the head of a fast food worker in Tarzana 966 00:36:11,737 --> 00:36:12,871 about two years ago. 967 00:36:12,904 --> 00:36:16,675 Witness in that case ID'd Walter Gordon, aka Demento. 968 00:36:16,708 --> 00:36:17,709 MEGAN: What I don't understand 969 00:36:17,743 --> 00:36:19,911 is how did Quilty's phone let the robbers know 970 00:36:19,945 --> 00:36:21,613 - where track victims were? - Well... 971 00:36:21,647 --> 00:36:24,750 Quilty must have put a sniffer on a node. 972 00:36:24,783 --> 00:36:26,918 A node is something that takes all the calls coming into 973 00:36:26,952 --> 00:36:28,954 a cell tower and then relays those signals 974 00:36:28,987 --> 00:36:30,222 to where they're going. 975 00:36:30,256 --> 00:36:32,791 A sniffer is an electronic device 976 00:36:32,824 --> 00:36:35,861 that detects specific calls, then sends that signal 977 00:36:35,894 --> 00:36:37,563 to a phone the robbers must have. 978 00:36:37,596 --> 00:36:39,465 And you think Quilty's phone could do that? 979 00:36:39,498 --> 00:36:40,832 I think so. 980 00:36:40,866 --> 00:36:42,634 All he needed was access to the cell towers. 981 00:36:42,668 --> 00:36:44,736 Because he worked at a wireless company, he had that. 982 00:36:44,770 --> 00:36:46,805 CHARLIE: And the gear required, well, he could buy that 983 00:36:46,838 --> 00:36:47,839 at any electronics store, couldn't he? 984 00:36:47,873 --> 00:36:50,742 All right, So Maynard gave Quilty phone numbers 985 00:36:50,776 --> 00:36:51,977 of people who owned valuable things. 986 00:36:52,010 --> 00:36:53,879 Right, and Quilty had his sniffer search 987 00:36:53,912 --> 00:36:54,980 for those numbers. 988 00:36:55,013 --> 00:36:56,181 When those signals came in, 989 00:36:56,214 --> 00:36:59,551 the locations went to the phone that he gave the robbers. 990 00:36:59,585 --> 00:37:03,021 They could follow victims, move in as they arrived home. 991 00:37:03,054 --> 00:37:06,558 Walter Gordon, aka Demento, has no known address. 992 00:37:06,592 --> 00:37:09,261 LAPD's been looking for him since the Tarzana killing. 993 00:37:09,295 --> 00:37:12,831 Okay, so Maynard and Quilty set up Gordon with phone numbers 994 00:37:12,864 --> 00:37:13,865 of potential victims. 995 00:37:13,899 --> 00:37:15,334 See if they picked any new victims. 996 00:37:15,367 --> 00:37:16,368 I mean, if we can't 997 00:37:16,402 --> 00:37:18,404 find Gordon, let's find out where he's going. 998 00:37:23,509 --> 00:37:25,677 Come on, take me to your home. 999 00:37:25,711 --> 00:37:26,778 ( loading clip ) 1000 00:37:26,812 --> 00:37:28,980 DEMENTO: There's the Volvo. 1001 00:37:29,014 --> 00:37:30,882 SKINHEAD: This family won't know what hit them. 1002 00:37:52,471 --> 00:37:53,639 ( tires screeching ) 1003 00:37:55,841 --> 00:37:56,908 I got the driver, you get the girl! 1004 00:37:56,942 --> 00:37:58,510 Out of the damn car! 1005 00:37:58,544 --> 00:37:59,711 Get out of the car now! 1006 00:37:59,745 --> 00:38:00,746 Get out of the car! 1007 00:38:00,779 --> 00:38:01,613 Drop the gun! 1008 00:38:01,647 --> 00:38:02,748 Drop it! 1009 00:38:02,781 --> 00:38:04,750 ( agents all yelling ) 1010 00:38:04,783 --> 00:38:06,418 Don't move! 1011 00:38:06,452 --> 00:38:07,519 Get your hands behind your back! 1012 00:38:08,987 --> 00:38:10,088 ( skinhead grunts ) 1013 00:38:10,121 --> 00:38:11,623 ( grunts ) 1014 00:38:11,657 --> 00:38:13,325 Get him up. 1015 00:38:13,359 --> 00:38:14,393 Ow! 1016 00:38:14,426 --> 00:38:15,461 What the hell is that? 1017 00:38:15,494 --> 00:38:16,528 MEGAN: Shut up, 1018 00:38:16,562 --> 00:38:18,530 Can't you see the baby's sleeping? 1019 00:38:20,732 --> 00:38:22,934 CHARLIE: Marshall. 1020 00:38:22,968 --> 00:38:24,135 Eppesy. 1021 00:38:24,169 --> 00:38:26,772 I just thought you might like to know that your insight 1022 00:38:26,805 --> 00:38:28,774 on the subset commonality helped the FBI 1023 00:38:28,807 --> 00:38:30,776 catch three murderers. 1024 00:38:30,809 --> 00:38:31,677 Wow. 1025 00:38:31,710 --> 00:38:32,944 That's, uh... 1026 00:38:32,978 --> 00:38:34,646 That's, that's great. 1027 00:38:34,680 --> 00:38:37,549 So, thank you for your help. 1028 00:38:37,583 --> 00:38:39,851 You're welcome. 1029 00:38:42,754 --> 00:38:44,656 I hope you understand, I didn't work 1030 00:38:44,690 --> 00:38:49,361 on the Eppes Convergence because of you. 1031 00:38:49,395 --> 00:38:51,597 I did because, uh... 1032 00:38:51,630 --> 00:38:54,366 Well, because it's great math. 1033 00:38:54,400 --> 00:38:56,768 You know, back at Princeton, 1034 00:38:56,802 --> 00:38:58,737 you were always the guy with the deep ideas. 1035 00:38:58,770 --> 00:39:01,740 This one just fascinated me. 1036 00:39:01,773 --> 00:39:06,645 Well, I have to admit... 1037 00:39:06,678 --> 00:39:09,047 your work shows tremendous insight. 1038 00:39:09,080 --> 00:39:10,949 Thanks. 1039 00:39:10,982 --> 00:39:14,620 Though I've taken another look at your analysis 1040 00:39:14,653 --> 00:39:16,021 Oh, no, I know that tone. 1041 00:39:16,054 --> 00:39:18,757 And I think I've found a way 1042 00:39:18,790 --> 00:39:22,494 to address the flaw that you've identified. 1043 00:39:30,936 --> 00:39:34,540 That's the basic idea. 1044 00:39:34,573 --> 00:39:38,777 That negates the whole need for the flawed section, then. 1045 00:39:38,810 --> 00:39:40,846 How about that? 1046 00:39:40,879 --> 00:39:43,114 Great Professor Charlie Eppes has done it again. 1047 00:39:43,148 --> 00:39:44,950 Now, that's hokum. 1048 00:39:44,983 --> 00:39:48,787 This approach was only apparent because of your work. 1049 00:39:48,820 --> 00:39:52,658 So I'm going to call this the Penfield Variation. 1050 00:39:52,691 --> 00:39:54,893 ( laughs ) 1051 00:39:54,926 --> 00:39:57,596 Great. 1052 00:39:57,629 --> 00:40:00,799 Way to make me feel like a real ass. 1053 00:40:00,832 --> 00:40:02,434 ( chuckles ) 1054 00:40:03,835 --> 00:40:06,638 ( knock at door ) 1055 00:40:06,672 --> 00:40:07,673 ALAN: Door's open. 1056 00:40:07,706 --> 00:40:08,907 Hi, Mr. Eppes. 1057 00:40:08,940 --> 00:40:09,975 - Hi. - Hi. 1058 00:40:10,008 --> 00:40:12,077 Charlie's supposed to come with us to a seminar. 1059 00:40:12,110 --> 00:40:14,513 Oh, he's out in the garage. 1060 00:40:14,546 --> 00:40:16,748 Hey, Charlie, your friends... 1061 00:40:16,782 --> 00:40:19,718 Here he comes. Been out in the garage all day. 1062 00:40:19,751 --> 00:40:20,886 Hey, guys, you know what? 1063 00:40:20,919 --> 00:40:22,488 Go on without me-- maybe I'll catch up 1064 00:40:22,521 --> 00:40:23,722 with you later, 'cause I'm a little 1065 00:40:23,755 --> 00:40:24,823 caught up with something right now 1066 00:40:24,856 --> 00:40:25,691 What are you working on? 1067 00:40:25,724 --> 00:40:28,827 A unified theory of the neural network 1068 00:40:28,860 --> 00:40:30,161 in higher cognitive functions. 1069 00:40:30,195 --> 00:40:31,963 LARRY: The math 1070 00:40:31,997 --> 00:40:33,465 of the brain. 1071 00:40:34,500 --> 00:40:35,767 I'd better stick to it, too. 1072 00:40:35,801 --> 00:40:38,704 It might take me a while... 1073 00:40:38,737 --> 00:40:40,205 Say, several decades. 1074 00:40:40,238 --> 00:40:42,608 Attaboy. 1075 00:40:43,909 --> 00:40:46,645 Yeah, what is it they say? 1076 00:40:46,678 --> 00:40:48,179 "The journey is more important than the destination?" 1077 00:40:48,213 --> 00:40:50,015 So true. 1078 00:40:50,048 --> 00:40:51,917 You're doing a jigsaw puzzle. 1079 00:40:51,950 --> 00:40:54,586 Oh, yeah, it's 5,000 pieces. 1080 00:40:54,620 --> 00:40:55,987 My wife used to do them all the time. 1081 00:40:59,124 --> 00:41:01,793 So what do you say you skip the seminar, 1082 00:41:01,827 --> 00:41:02,761 and we'll order in some pizza? 1083 00:41:02,794 --> 00:41:05,931 I love jigsaw puzzles. 1084 00:41:05,964 --> 00:41:07,866 And I love pizza. 1085 00:41:07,899 --> 00:41:12,638 All right. 1086 00:41:12,671 --> 00:41:16,708 ( upbeat music playing )