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
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.