All language subtitles for Numb3rs.S02E07.1080p.AMZN.WEBRip.DD2.0.x264-CasStudio-HI

CHARLIE:
What do you say, Larry?

The Eagle, the Shark?

Oh, I think the Eagle.

More stability.

Let's go, bro.
Show us how it's done.

( grunts )

( group groaning )

Ah, that close...

Nice, all right.

Watch this.

All right, go for it.

Oh, yeah.

Oh!

Yes!

- Oh! Nice!
- Nice.

- Nice throw, brother.
- Sweet, right?

You know, Don,
you and I are very alike.

We're both focused on large,
possibly unattainable goals --

me trying to explain all
the workings of the universe...

Yeah. What am I doing?

Trying to take all
the unworkable workings

and put them in jail.
(phone rings)

Good luck to both of us.

Eppes.

Yeah. All right.

Okay, I'm on my way.

Sorry, guys, got to go.

You know, work.
I'll see you, all right?

Yeah. Well, there he goes,
back to the unattainable.

( indistinct chatter )

MEGAN: Hi.

They killed the father
when he tried to resist.

Seems just like
the third robbery.

It's the same guys -- ski masks,

physical descriptions match
the other home invasions.

This puts us up to seven
in six months,

so they're coming
at faster intervals.

They go after any
specific items?

Yeah.

Jewelry, paintings,
high-end furnishings.

The deceased is
Dr. Richard Bloom.

He and his wife arrived home
with their 15-year-old son, Jordan,

after a school track meet.

Three guys rushed them
at the front door.

Bound them up with duct tape.

- Did you see this?
- Yeah.

The son put up a struggle,
and one of the burglars hit him.

The father tried to stop him,

and they threw him in the pool,

hands and feet still bound,

and laughed while he drowned.

DAVID:
Daughter's name is Jill.

She was at a friend's house.

Her friend's mom brought her back home,
saw something was wrong.

She called 911.

Daughter didn't see anything.

Thank God.

Right now, someone has
to tell her her Daddy's dead.

We all use math every day,

to predict weather,

to tell time,

to handle money.

Math is more than formulas
and equations.

It's logic.

It's rationality.

It's using your mind to solve
the biggest mysteries we know.

So, we got seven
home invasions, right?

This is before LAPD asked
for our help.

This is after.

What we know is that they-they
do have weapons,

although they haven't fired them,
so we have no useful forensics.

And they all live
in exclusive neighborhoods,

they all have high-end,
expensive valuables in their homes,

and they all have
security systems,

but the attacks take place
just as they're coming in,

and the alarms have
been turned off.

Who are they?

DON:
They're both fathers.

They both fought back
to protect their families.

I mean, we can't even figure out
how these guys are picking the homes.

MEGAN: No. So far, there's no
commonalities between the families.

You know, other than the fact
that they're wealthy.

Let's try data mining.

It's a system
for analyzing information.

MEGAN: Army Intelligence uses that
to identify possible terrorist attacks.

I design an algorithm
based on these crimes.

The algorithm then
takes the data

and identifies correlations.

All right. I'll get you everything
we have on the families.

MEGAN: Yeah, where they live,
where they go to school, shop, dine out.

Who cleans their pools,
who fixes their cars.

I'll need more than that.

More than everything
on the families?

More... on everything.

All crime stats for the past
six months for the entire county.

MEGAN: Wouldn't that much data make
it harder to find what you're looking for?

CHARLIE:
The opposite.

More data means more chances
to find something.

It's like when you're trying
to put together a jigsaw puzzle.

You start with a few pieces,
and the rest are in the box.

All the pieces you have should
eventually fit your puzzle.

All the pieces and nothing more
come in the box.

But with a real-world problem,

that's just like trying
to solve a jigsaw puzzle

when all the pieces you need
are mixed in

with pieces
from many other puzzles.

Now, when you grab a few pieces
from the box,

most won't fit.

You got to go through
the entire box

and pull out the pieces
that fit your puzzle.

The algorithm
goes through it all,

pulls out what fits together.

All right. Well, I'll get you
our reports, okay?

CHARLIE Hey, guys.

Hey, I've got a complex data
analysis problem.

Either of you free?
Well, both of you?

I'd prefer both.

I... Well, I have some,
a couple of hours.

Charlie, have you seen the guest
lecture schedule for this week?

No, I haven't.
Why?

Oh, don't... Damn it.

Don't tell me I've gotten stuck
hosting another reception.

No. Uh, some guy's
giving a talk

on the asymptotics
of random matrices.

Hey, you've done some
distinguished work there, haven't you?

The guest lecturer's name is...

What the hell is that son
of a bitch doing here?

To whom are you referring?

Marshall Penfield.

That's the guy --
the guy that's giving the talk.

Oh, really?

Marshall and I --

we attended Princeton together.

Every chance he got,
he slammed my work.

And the only keg
party I ever threw --

he stole the keg.

Marshall.

Hey, Eppesy.
You coming to the talk?

It's gonna be a good one.

I just heard about it.
Ever so excited.

Wondering what
your subject could be.

Oh, same old same old.

Hi. How you doing?

CHARLIE:
You found a new approach?

Only because
I recall your earlier attacks

on my analysis
of Plancharel measures.

You made an ass of yourself.

( chuckles ):
Yes, but unlike you,

I continued to work
in the field.

And I've made
some interesting findings.

Elaborate.

A flaw in your work.

I'll spare you the details.

I'll save it for the talk,
but, bottom line --

your big breakthrough,
the Eppes Convergence?

It's wrong.

It was nice meeting you.

MRS. BLOOM: These things --

most of them have been
in our families for years.

I don't care about any of this.

But Richard --

he was only trying
to protect our son.

I know, Mrs. Bloom.

I'm so sorry.

He just couldn't bear
to see people hurt.

It's why he became a doctor.

I just think if maybe
you could tell me

anything about
one of these pieces,

it might help me
find your husband's killer.

There's a lamp. It was, uh,
made by Dirk Van Erp.

It's one of a pair.

Richard got the first one
for me as a wedding present,

and he spent years
trying to find the other one.

He finally found it.

He said they belonged together,

just like we did.

DON: So, this lamp's worth,
like, $100,000.

Which, I imagine, you can't just
sell just anywhere.

Yeah, that's what I'm thinking.

We should check into whatever
markets deal

with this kind of stuff, see if
there's any buzz.

Mm-hmm.

CHARLIE:
Penfield hates me.

It drove him crazy.

I became the youngest person
to ever publish a major paper,

and when I gave my first seminar
on the Eppes Convergence,

he shows up with a button
that says, uh,

"Don't believe the hype."

LARRY ( laughs ):
Okay.

Well, that's a little
confrontational.

But, I mean, you were a star
in your field.

You-you got to expect this kind
of attention.

This man has singled me out.

No. Your status has
singled you out.

I mean, people-people are
scrutinizing your work

because of your reputation.

You must understand --
that's why he's doing it.

To ruin my reputation.

The Eppes Convergence made me.

If it's wrong,

then what am I?

Well, you're a talented,

theoretician
with an ego problem?

I'm sorry?

( phone ringing )

Hello?

Yeah, I'll be right there.

I got to go.

Okay.

The computer lab says the algorithm
for Don's case kicked out some findings.

Yeah.

Well, wisdom and genius --

rarely present
in equal abundance.

I don't remember
where I got this lamp.

Probably some estate sale.

Wrong answer.

Hands behind your back
right now.

- What's going on?
- You know what's going on.

You can tell us
where you got it here,

or you can tell us down
at our office.

That's after we walk you through
your show room full of customers.

Wait, wait. Okay.

- Where did you get it?
- ( sighs )

I was introduced to this guy
a few months ago.

His name is Roley.

He told me he got the lamp
from a bankruptcy procedure.

But you knew better, didn't you?

( humming )

DON:
Colby.

Your brother is starting
to freak me out a little bit.

DON:
What, just a little?

Hey. What's up?

Calendars are wonderful
analog mathematical tools.

They create a universal
timeline for societies

by interpreting
astrophysical movement.

What are you talking about?

CHARLIE: Calendars aren't based
on easily divisible factors.

Okay? You know, they originally
tried to make them like that.

360 days divides
quite evenly, but

doesn't match with what you see
in the night sky,

so ancient calendars
would add an extra month

every eight years,
or tack on five extra days.

What, these were all the dates
from the home invasions?

Right. Once I got the data
mining algorithm up and running,

I ran a Fourier analysis
on the chronologies --

the dates, the times.

COLBY: We've actually been looking to
try and find a timeline pattern, Charlie,

but we can't come up
with anything.

Because you weren't looking in
the same way my analysis does.

The red days are known attacks.

The blue days are
when the analysis says

there should be attacks,
but there aren't.

And what we must
ask ourselves is:

How do you know there aren't?

No homes were hit
on those dates, right?

CHARLIE:
Let's assume

that these same guys
commit other types of crimes.

You mean, not just
home invasions.

DON: So, you're saying, what, if
we find new crimes,

maybe we find new evidence?

CHARLIE: I think you
should be looking for crimes

committed by gunmen
that fit the same description,

that occur in these days
that I've marked blue.

And Charlie, the pattern.

Can it tell us
when the next attack would be?

CHARLIE: Patterns like this
are-are clearer in hindsight.

I mean, they're not really used
as-as predictors.

I mean, there's an erratic
frequency here.

I mean, you know,
there's several robberies

a couple days apart,

and then there's one or two
hits,

and then an even shorter break.

Just point us in a direction.

( exhales )
This is my best guess.

It's possible that the
next attack could occur

in three days.

I checked the incident reports
on the days

where Charlie said there
might have been related crimes.

I found three carjackings
done by three guys in ski masks

that match the physical
descriptions of our home invaders.

COLBY: Our guys go for the high-end
goods, though, Megan.

The cars stolen were a Mercedes,

Range Rover and a Porsche.

Any of them found?

No, which means either they
were repainted and given new VINs

or they were sold
outside the area.

These guys seem to know
how to move expensive items.

And there's something else.

We've never had a gun fired
in any of the home invasions...

There's a gunshot
in the carjacking.

Yes, there was.
At the Porsche robbery,

one of the members of the crew shot
a round into the air to scare the owner.

We find that bullet, we might
be able to make a match.

You want to find a bullet
fired straight up?

- It's not gonna be easy.
- It's not impossible.

Just find the cops
who responded to the call.

DAVID: They would've done a
neighborhood canvas

to ID the round that was fired.

We should be talking to the
people whose cars were jacked,

running down the lead
from the antique store owner.

- What's the fence's name?
- Roley. I'm on it.

Good.
All right.

DAVID:
A bad time?

No, come on in.

I'm just sitting here, waiting for a
new run of the data mining program.

Emergence theory.

The whole is greater than
the sum of its parts.

Individually, ants have
limited capabilities.

But the colony can be viewed
as a single complex organism.

But you guys aren't here
to talk about ants, are you?

No, actually, we have
a little bet.

David here seems
to think that you might

be able to help us find
a needle in a haystack.

A bullet in Brentwood,
to be exact.

COLBY: Checking the time periods
where you thought

there might be related crimes,

we found three carjackings --
one of them, there was gunfire.

We find that bullet, we might be
able to match it to a gun.

This bullet, was it fired parallel
to the ground or at an angle?

According to the crime report,
into the air.

We're not sure of
the exact angle.

What type of gun?

Uh, we're actually not certain
about that, either.

CHARLIE: Okay, we're looking at
at least two variables.

Any handgun's going to fall into
a certain range of muzzle velocity.

Now, we're assuming that
the gun was pointed up,

not exactly vertical? Okay.

So that'll give us
a radius of...

PENFIELD:
Two to three thousand feet.

Roughly half a mile.

Only there are a lot of assumptions
built into these calculations,

but I suppose that
can't be helped.

Agent Sinclair, Agent Granger,
this is Dr. Penfield.

Sorry to interrupt.

I just heard the familiar
staccato clacking of chalk,

I thought it might be
something interesting.

You're still coming
to my presentation, right?

I might get something wrong
about Hermitian random matrices.

You know, I've moved on

to sequences
with orthogonal symmetry, man.

- Oh, really?
- Mm-hmm.

Well, that's funny, 'cause
that's the exact same thing.

Resonances in quantum
chaotic systems.

That's a simplistic analysis.

PENFIELD: You always were testy
when challenged.

You know, I was talking
about that with Amita, um...

You were, were you?

Yeah, yeah, last night.

We were hanging out, you
know, got a little dinner,

long conversation -- that doesn't
bother you, does it?

Marshall, do whatever you like.

Just you remember,
Amita's a sharp mathematician.

So no matter how hard you try,

you're never gonna get her to
believe that this is six inches.

I bet with you that
subject's never come up.

Ooh, math fight.

Hey, that was carjacking
victim number three.

Just like in the home invasions,

these robbers
targeted specific items.

They went right for his watch,

which was
hidden underneath his jacket.

Carjacking victim number two
they made give up a $55,000 ring.

All right, so they're
being followed, right?

- Forced to pull over.
- No, no.

Carjacking victim number one
locked her keys in her car.

She called AAA
on her cell phone,

and ten minutes later,
these guys showed up.

Victim number two got lost,

entered the destination
into her navigation system.

And victim number three
ran out of gas.

He called his onboard
assistance service

and spoke to a real operator,

but the robbers got there first
with a can of gas.

It's like they're eavesdropping
on their cell phones or something.

Maybe, but that doesn't explain their
knowledge of their personal possessions.

And they all have different
cell phone carriers.

I mean, they're tapping
into them somehow, right?

Yeah.

The question is,
what's the common link?

Just don't push the wrong
button or else we'll be

looking for that bullet
the old-fashioned way.

It's okay, all right,
Charlie's already programmed

the trajectory equations
into the calculator.

Yeah, we have the origin point
of the shot.

The equations will generate
high probability areas for a search.

It's you plugging in those
variables that has me worried.

Hey, man, it's only
two variables, okay?

We got muzzle velocity

and inclination
of the weapon when fired.

I can handle it.

At least I've used
a graphing calculator before.

Really? You have?

High school, man.

Why? You didn't?

I went to high school
in the Bronx.

Get your gear. We found Roley.

Roley? He's the fence that sold that stolen
lamp to the antique store, right?

Yeah, we're setting up a buy.

Hey, Charlie.

Hey. What's going on?

I was doing my work from
my, uh, city planning days.

See, I'm taking it all down

to the offices that
we're leasing now.

You're really starting a consulting
company with Stan Fischer, huh?

Why not? You know, I miss work.

Now I can be my own boss and
I can concentrate on the aspects

of design and planning
that I always enjoyed, myself.

It's a big investment.

Oh... I have money.

Thanks to you buying this house
at the asking price.

So you're not worried
about the risk?

( grunts )
Well, that's business.

In fact, that's life.

You know, I never really
wanted to retire.

But when your mother got sick,

there really wasn't much choice.

And now, I have a choice.

I'm really happy for you, Dad.

You okay?

You seem a little, uh...

Stressed. Yeah.

Why? What's wrong?

Marshall Penfield,
fellow Princeton graduate,

has come here to rip apart
five years of my work.

And it's made me realize

that I haven't focused on
anything new since then.

I've been wasting my time
with this stuff for Don.

Oh, come on.

You don't mean
wasting your time.

You're right, I don't.

I'm not wasting my time,
I'm just...

so easily distracted.

Yeah, well, it's more like,
you're easily fascinated.

I need to devote myself to
something significant in my field --

important to other
mathematicians.

Yeah, well, you know
what I think, Charlie?

I think your life's work should
be what you find important.

Are you the lady
Jay sent over from his store?

Yeah.

He said you get him
some of his best inventory.

I'm Roley.

- This here's Timmy.
- Hi.

Sorry to make you come out so
late, but you know how it is.

Oh, I've been
to worse neighborhoods.

So, let's see if we could
do a little business.

You, uh, brought money, right?

Oh, I brought better than money.

AGENTS:
FBI! FBI!

Get down!

FBI!

You stop right there! Stop!

Drop on your knees!

Hands behind your head!

You know where this
came from, right?

I'm really not one to ask that
many questions.

No? Maybe you ought
to rub it three times

and find out where
it's about to send you.

This is a list of everything
that was in your storage unit.

And this is a list of everything that
was stolen from seven home invasions.

They're kind of similar.

I had no part of that.

Having this stuff
makes you a part of that.

I'm telling you,
I am not that kind of guy.

You got a nice painting

or a good piece
of period furniture,

I can find you a buyer.

Who's not gonna ask
too many questions.

That's right.

I find people with money

who are interested
in deals on luxury items.

That's my niche.

Killing? Not my niche.

Well, how'd you get
all this stuff?

It wasn't from any crew,
it was just... it was two guys.

And how'd you meet them?

They came up to me at a bar,

said they knew me by reputation.

And what makes you think
that these guys aren't robbers?

One of them was dressed
better than my lawyer.

And the other guy,
he was just a total geek.

I'm gonna need their names.

Mr. Brown, Mr. Gray.

( chuckles )

That's all I know.

Then I feel sorry
for you, Roley.

Wait a minute.

All right, these guys,

they're not
barehanders, all right?

- They're way too business.
- How so?

For one thing,
they gave me a list,

like this one.

With everything they were
gonna bring me weeks in advance.

Said it was so I could
locate buyers ahead of time.

MEGAN: Roley's description
of the men he dealt with

don't match what we have.

So then, we could be looking
for five different guys?

Maybe not five different guys,

but maybe two guys that case it

and three guys that do
the actual robbery.

I'm telling you,
the cell phones tie into it.

Yeah, but every single person
uses a different service.

And how would they know
what's in the homes?

- And what about the data mining?
- I'm working it.

The analysis finds
all kinds of links

and I have to gauge which
ones are meaningful.

For instance, the data mining found
that all the victims buy bottled water.

Well, that's meaningless.

CHARLIE: When Army intelligence
tried to use data mining

to spot commonalities
between terrorist attacks,

one of the people it picked out
was Condoleezza Rice.

Okay, so it's thorough,
but it's not discriminating?

Whatever you can do, Charlie.

You're the one who said we're
talking about three days here.

- Yeah, I know.
- No pressure.

DAVID: A variable two-way muzzle
velocity.

We're working with
a nine millimeter,

but these guys
like to play rough.

Now, I'm thinking they're
packing something stronger.

Yeah, but muzzle
velocity changes

with the grain
of the bullet, anyway.

The heavier the projectile,
the slower it goes.

Right.

Okay, let's just say, you're a guy
into invading people's homes,

and you're getting off
on messing them up.

- Right.
- What's your weapon of choice?

Semi-automatic with a big clip.
Lots of stopping power.

.45 ACP,
180 grain rounds.

That's a muzzle velocity
of 1,200 feet per second.

Oh, yeah, man, plug that one in.

The development of any type
of representation theory

is usually split
into two stages.

The first is a description of
all elementary representations.

The second consists
of constructing

certain natural representations
of the group,

and decomposing them
into irreducible ones.

What we see when we get deeper
into the Eppes Convergence,

is a small and, until now,

undetectable
conceptual roadblock.

It's an expression,

floating through these equations
like a tiny blood clot,

until it lands here,

at the infinite-dimensional
simplex,

which...

causes a stroke
to the entire theory.

Maybe these guys are
into revolvers.

You know,
a nice little .38,

or a .357, maybe.

I'm telling you, man,
they're physical,

they're pumped,
they're flush with cash.

These guys buy a gun,

it's going to be
a .40 caliber 45 HK.

David, we can talk muzzle
velocities all day long.

But if this joker fired straight up,
it doesn't matter,

because the bullet would have
landed right here,

within a 500-foot radius
of where the guy fired from.

So, the question is:

do you think it's possible
that he actually fired straight?

Yup, I do think it's possible.

Yeah? Based on what?

Based on I just found
the bullet.

Charlie?

He does have a valid point

about the end-point process
on the one-dimensional lattice.

Right.

Penfield's blood
clot to my brain.

Or was it the torpedo
in the engine room analogy?

I forget.

Hey, Amita, there you are.

You still up for Pie n' Burger?

Sure, let me grab my stuff.

Hey, Eppesy.

Heard you got
a substance abuse problem

with lemon meringue.

It's a "gateway" pie, you know.

Why don't you
come meet us out front?

You know, there's a whole
crowd of people going.

I'll pass.

What's the matter?

I can't make any headway
on this FBI case.

And... there's my life's work...

going up in flames.

Well, you're spreading yourself
really thin.

You're spending a lot of time
with Marshall.

He's an interesting thinker.

It's not a big deal, Charlie.

You've got your FBI work,

your teaching, your research...

Yeah, and you've got
your astrophysics work,

your work with Dr. Keppler.

I know.

I'm focused on my work.

I'm not sure that I want to
focus myself socially right now.

I guess I can understand that.

You sure you don't want
some pie?

No, I...

Go eat pie.

Please. I need to think.

Okay.

Do you two realize
what's in here?

Well, in your case, a lot of
unanswered voicemails.

I can tell you that.

After 9/11, the FCC mandated
that all cell phones

be able to locate people in
the event of an emergency.

Oh, right.

That a GPS locator chip has to
be put in every new phone by 2005.

And newer phones
can be used to track people

within a range of 30 feet.

But you're still going to need
access to classified data.

Are you saying that these
robbers have figured out

how to intercept encrypted
material from a military satellite?

No, that's impossible.

Listen, somehow they've gotten
that GPS information.

They've gotten into the phones.

But that doesn't explain
how they knew who to rob.

Look, this is
a two-part problem, okay?

Part one: How do
they know who to rob?

And part two: How do they know
where the victims are?

The phone is the key
to part two --

locating victims.

Part one: how they
know who owns what,

I still can't tell you.

But you can be positive that all
the families will have it in common.

ALAN: Hey, Charlie, you seen my
cell phone?

I been looking all over for it,
I can't find...

What are you doing with it?

We'll put it back together.

You can't use one of your own?

LARRY: Well, I refused to allow the small,
quiet moments of my life

to be invaded by these
devices of distraction.

Which means you don't have one?

And I need mine.

Look, Charlie, I'm not a
homebound retiree anymore.

I happen to be starting
a new business.

And having a cell phone might
come in handy.

Right?

Look, you'll have it back
in one hour.

Dad, we need to look
at your GPS chip.

What do you need to do that for?

Every new phone comes
embedded with this tiny chip

that acts as
a global positioning receiver.

And it's my theory that
these home-invasion robbers

are using them
to track their victims.

How would they do it?

Well, a cell phone's
essentially a radio.

Whenever it's on,
it's sending radio signals

to let cell towers know
where the phone is

so a person can move from one cell
zone to another without losing a call.

At the same time,

the GPS chip receives signals
from outer space,

specifically, from at least
three geosynchronous satellites.

Using the geometric method called
"three-dimensional trilateration,"

the GPS chip uses
the signals from the satellites

to calculate
its exact location on Earth.

The data generated
can be used by police,

roadside assistance,
emergency services,

tracking truck fleets --

and even lets parents keep tabs
on their teenage children.

Ah, it's too
"Big Brother" for me.

I'll stick with
my rotary dial-up.

But intercepting these signals is really
beyond the grasp of most criminals.

ALAN: If all my years of working

at Urban Infrastructure
has taught me anything,

it's that there's always somebody
who gets into the system.

MEGAN: Charlie was right.

Three days on the button.

Married couple,
74 and 77 years old.

From the evidence, it looks like
the man struggled with the robbers.

DON: Yeah, they beat him to death,
they got the woman over here.

They strangled her.

Doesn't look like
they put up much of a fight.

MEGAN: They're acting more
frequently,

and killing more readily.

I am crossing my fingers that this
has to be the bullet from the carjacking.

DAVID: Not a lot of bullets
lying around Brentwood.

No, it's more of a slash-your-throat
kind of neighborhood.

Well, we're running the slug
through the ATF Bullet Trap database,

hoping to match the gun it was
fired from to a previous crime.

We need this lead.

And after eight hits,

they're going to think
they're invincible.

That we can't catch them.

They're going to be more reckless,
more dangerous.

Bingo.

LARRY:
Yeah, I heard on the radio --

two more people killed by these
robbers Don is trying to catch.

Yeah. It's bad.

And the data mining is not yielding
any connections you can work with?

Well, it's hard to say.

You know, one commonality that the
analysis keeps highlighting is cell phones.

But, you know,
everyone has cell phones.

Then there's
a second commonality,

that has no defined value.

The algorithm keeps pointing out

that the families all have
rare, collectible items.

And all were insured.

You really should
get this program to Amita.

She is the best coder we've got.

I don't think this is
where the problem is.

And... Amita's off chilling
with Penfield.

Well, he is a brilliant
mathematician

and, I assume,
a sparkling conversationalist.

Are you serious?

Oh, you're great.

You're just another member
of the Penfield Fan Club. Right?

Well, I do understand
his analysis

of the Eppes Convergence
was a bit pointed.

I'll admit,
he's a bright fellow.

He's got all sorts of insight.

But he's so full of himself.

He's so annoyingly confident.

"Certainly in extending
the calculation for S

"to the infinite unitary group,

"it would be obvious to anyone

"that my genius would mandate --

"upon my death --

"the inclusion of my brain

in the Smithsonian."

I would actually prefer someone
take my brain on a road trip

like they did with
Einstein's. But...

Hey, Charlie.

Hello.

Charlie, Marshall and I went
to your office looking for you,

and we kind of saw
what was on the chalkboard.

( mouths words )

PENFIELD: Yeah, you had a
problem that was of interest to me

because it relates to
my main field-set theory.

Oh, well...

This is it, isn't it?

This is the same
thing right here.

Could be.

Why?

Marshall's new research
at Princeton is inset theory,

in something he calls
"deep current" sets.

What are those?

Chalk.

Connections between groups
that are hard to detect,

but that affect
all the other sets.

Kind of like how currents
beneath the ocean surface

can influence the weather
patterns in the atmosphere.

There's something
underneath we can't see.

Things that seem
to have no connection

are all linked
by a common factor.

Marshall, have you developed
methods of analysis

to help you define
the unidentified connections?

Oh, yeah, sure.

Even if I can't tell you
where the deep current is,

I can tell you were to look.

MEGAN: But, Charlie, all eight families
have different insurance companies.

Sure, but the data mining
found that there's

a powerful connection
between the victims,

And it's not
something we can see.

It's an unseen set,
a deep current set.

- I'm sure that means something.
- Right.

The victims' families all
had high-end valuables,

Like the Dirk Van Erp lamp that
you guys tracked down, right?

Right, that the robbers
all knew about in advance.

The victims' families all had
different insurance companies,

but my analysis suggests
that the insurance companies

have something in common.

Like what?

Well, apparently, when covering
rare, high-cost items,

insurance companies
often purchase a rider,

a backup policy
from another firm.

Yeah, insurance riders,
of course...

which wouldn't show up
on a criminal report,

because the customers
don't even know they have them!

Colby, Charlie's got
a good idea --

check out if any of the insurance carriers
bought any riders from the same firm.

CHARLIE: If I'm right, you'll find a
company common to several victims.

And someone with access to
that company's list of clients...

...would know how to hack
into cell phone signals.

Megan, get a list
of local employees

with criminal records
from the wireless companies.

- All right?
- I have that.

Very fast.

Thank you.

Don, I already looked
at three of them.

They used the same underwriter.
It's a BTL, Limited,

so I'm gonna check,
see if I can get employee lists.

DON: Good. Great.

Now, compare that list
to Megan's list,

and maybe we'll
find one guy on both.

No, we're looking for two guys,
Mr. Brown, and Mr. Gray.

Remember, one will know
cell phones,

one's gonna know insurance.

This is the FBI's version
of data mining,

finding links the
old-fashioned way.

Oh, yeah, by hand and by luck.

Here we go, Herbert Quilty,

service tech for
Vertech Wireless.

Two years ago, pled guilty to
selling stolen cell phones,

served three months
in county jail.

What's his link
to the insurance company?

Same time as Quilty was in jail,
a guy named Thomas Maynard

was serving weekends
on a DUI conviction,

Maynard was a supervisor
at BTL Underwriters.

How did Roley put it?

"One dresses
better than my lawyer,

- Right.
- and one is a total geek."

Freeze!

Hands behind your head!
Down on your knees!

Down!

Herbert Quilty,
you're under arrest for murder.

All right.

I had that wine at
Morton's last week.

FBI! Get on the ground!

On your knees!

Down!

Okay!

Hands behind your back, Maynard!

You're working with some
nasty dudes, Maynard.

Where'd you meet guys like this?

Weekend lockup seems
a bit tame for stone killers.

No evidence connects me
to any crimes.

Can't control these guys,
can you?

Thought you were getting
into the robbery business.

They switched the game on you,
didn't they?

You set it up so they
could stalk their victims,

in their homes, in their cars.

That puts you right
in the middle of things.

Walter Gordon.

His friends
call him "Demento."

Leader of a San Fernando Valley
skinhead gang.

Hmm?

Never seen him before
in my life.

Yes, you have.

What happens to you now?

What do you think
he's gonna do to you

the next time the two of
you run into each other?

And what about your family?

If you're locked up,
and he's still out there?

They weren't supposed
to hurt anyone.

That's all on them.

I picked people
from the company files.

Quilty rigged the phones.

With GPS to the node signal.

MAYNARD:
Demento's crazy.

I tried to keep him
to a schedule,

but he wanted to move
faster and faster.

He decided to pull
these carjackings.

Said he wanted to be known
for selling expensive wheels.

Nice timing on the photo.

DAVID: Forensics matched the
bullet we found in Brentwood

to one shot through the head of
a fast food worker in Tarzana

about two years ago.

Witness in that case ID'd
Walter Gordon, aka Demento.

MEGAN: What I don't understand
is how did Quilty's phone

let the robbers know
where the victims were?

Well...

Quilty must have put
a sniffer on a node.

A node is something that takes
all the calls coming into a cell tower

and then relays those signals
to where they're going.

A sniffer is an electronic
device that detects specific calls,

then sends that signal to a
phone the robbers must have.

And you think Quilty's phone
could do that?

I think so.

All he needed was access
to the cell towers.

Because he worked at a wireless
company, he had that.

CHARLIE: And the gear
required, well,

he could buy that at any
electronics store, couldn't he?

All right, So Maynard gave
Quilty phone numbers

of people
who owned valuable things.

Right, and Quilty had his
sniffer search for those numbers.

When those signals came in,

the locations went to the phone
that he gave the robbers.

They could follow victims,
move in as they arrived home.

Walter Gordon, aka Demento,
has no known address.

LAPD's been looking for him
since the Tarzana killing.

Okay, so Maynard and
Quilty set up Gordon

with phone numbers
of potential victims.

See if they picked
any new victims.

I mean, if we can't find Gordon,

let's find out where he's going.

Come on, take me to your home.

( loading clip )

DEMENTO:
There's the Volvo.

SKINHEAD: This family won't
know what hit them.

( tires screeching )

I got the driver,
you get the girl!

Out of the damn car!

Get out of the car now!

- Get out of the car!
- Drop the gun!

Drop it!

( agents all yelling )

Don't move!

Get your hands behind your back!

( skinhead grunts )

( grunts )

Get him up.

Ow!

What the hell is that?

MEGAN:
Shut up,

Can't you see
the baby's sleeping?

- CHARLIE: Marshall.
- Eppesy.

I just thought you might like
to know that your insight

on the subset commonality helped
the FBI catch three murderers.

Wow.

That's, uh...
That's, that's great.

So, thank you for your help.

You're welcome.

I hope you understand,

I didn't work on the Eppes
Convergence because of you.

I did because, uh...

Well, because it's great math.

You know, back at Princeton,

you were always the guy
with the deep ideas.

This one just fascinated me.

Well, I have to admit...

your work shows
tremendous insight.

Thank you.

Though I've taken another
look at your analysis.

Oh, no, I know that tone.

And I think I've found a way

to address the flaw
that you've identified.

That's the basic idea.

That negates the whole need
for the flawed section, then.

How about that?

Great Professor Charlie Eppes
has done it again.

Now, that's hokum.

This approach was only apparent
because of your work.

So I'm going to call this
the Penfield Variation.

( laughs )

Great.

Way to make me feel
like a real ass.

( chuckles )

( knock at door )

ALAN:
Door's open.

Hi, Mr. Eppes.

- Hi.
- Hi.

Charlie's supposed to come
with us to a seminar.

Oh, he's out in the garage.

Hey, Charlie, your friends...

Here he comes.
Been out in the garage all day.

Hey, guys, you know what?
Go on without me --

maybe I'll catch
up with you later,

'cause I'm a little caught
up with something right now.

What are you working on?

A unified theory of the neural
network in higher cognitive functions.

LARRY: The math of the brain.

I'd better stick to it, too.

It might take me a while...

Say, several decades.

Attaboy.

Yeah, what is it they say?

"The journey is more important
than the destination?"

So true.

You're doing a jigsaw puzzle.

Oh, yeah, it's 5,000 pieces.

My wife used to do them
all the time.

So what do you say
you skip the seminar,

and we'll order in some pizza?

I love jigsaw puzzles.

And I love pizza.

All right.

( upbeat music playing )