Episode Transcript
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0:15
Pushkin. It
0:26
would be hard to think of a better example
0:28
of a game of chance than roulette.
0:32
Beneath the romantic French terminology
0:34
and the myriad rules of etiquette, each
0:37
spin of the roulette wheel is utterly
0:39
random. The casino's advantage
0:42
is small that it cannot
0:44
be overcome. The game
0:47
is remorseless over the
0:49
long haul. The only way to win
0:52
is not to play, or
0:54
is it? One day in
0:56
August nineteen sixty one, Claude
0:59
and Betty Shannon stroll up to
1:01
a roulette table in Las Vegas, pretending
1:03
not to know their companions, Ed and
1:06
Vivian Thorpe. Claude and the ladies
1:08
a nerve us, but they don't show it.
1:11
Ed Thorpe isn't nervous, he's excited.
1:14
He's still in his twenties, but he's
1:16
an old hand in the casinos. Claude
1:19
Shannon stands right by the wheel. He's
1:22
forty five years old, slim and good
1:24
looking, with fine cheekbones and dark
1:26
eyebrows. He's misdirecting
1:29
the attention of the floor manager by scribbling
1:31
down numbers. He looks like he's got
1:34
some crazy system that will inevitably
1:36
bankrupt him. Thorpe is at
1:38
the other end of the table, far from
1:40
the wheel and far from Shannon. He
1:42
has dark hair, a round face, and
1:45
a smile. He's having fun placing
1:48
his bets with the confidence of a man who
1:50
knows the unbeatable game is
1:52
about to be beaten. This
1:55
is a defining moment in a project
1:57
that has been quietly ticking over for
1:59
a year. When it began, Thorpe
2:02
and Shannon didn't know each other. Edward
2:05
O'thorpe was a junior mathematics
2:07
instructor at MIT. Claude
2:10
Shannon was the greatest computer
2:12
scientist in the world. Ed
2:15
Thorpe had a plan to beat Roulette,
2:17
and he needed Shannon to help
2:20
him. Systems to beat
2:22
Roulette are like blueprints for perpetual
2:24
motion machines or formulas to turn
2:26
lead into gold. They're absurd,
2:29
the pseudo scientific obsessions of Cranks
2:32
and Claude. Shannon's secretary had already
2:34
warned Thorpe that Professor
2:36
Shannon doesn't spend time on topics
2:39
or people that don't interest him.
2:41
Shannon was a legendary figure. People
2:44
in his field talked about Shannon the
2:46
way physicists talk about Albert
2:48
Einstein. What ed Thorpe
2:50
was doing was much like buttonholing
2:52
Einstein and saying, Hey, Albert,
2:55
I've got a sure fire scheme for beating the bookies
2:57
at the racetrack. An unknown
2:59
young mathematician, a patently
3:02
futile goal, Claude Shannon,
3:04
the computing legend, didn't
3:07
hesitate. Take
3:09
a seat. He said to Ed Thorpe.
3:12
We have a lot to talk about. I'm
3:16
Tim Harford. You're listening
3:19
to cautionary tales. Repeat.
3:44
Please please some floora for the present.
3:46
How do you receive? Send floa? Please
3:49
see if you can read this? Can you read
3:51
this? Yes? How are signals?
3:54
Do you receive? Please send something?
3:56
Please send bes and bees? How our
3:58
signals? Those messages
4:01
from eighteen fifty eight represent
4:04
a full day of attempted
4:06
conversation via Morse code
4:09
who were cable lying three miles
4:11
under the surface of the Atlantic Ocean.
4:13
The cable had been enormously
4:16
expensive, and, as he might
4:18
guess, it wasn't really working. In
4:21
an attempt to boost the signal, the
4:24
project's engineer, a man called
4:26
Wildman white House, cranked up
4:28
the voltage. The cable
4:30
melted. It had
4:33
survived only twenty eight days.
4:36
Over the years, telegraph engineers
4:38
figured out how to work around the problem
4:40
of noise on the line. They built stronger
4:43
cables with better insulation and more
4:45
sensitive detectures at the far end. But
4:48
nobody fully solved the problem of noise.
4:51
Nobody even fully understood it. Not
4:54
until nearly a century later,
4:56
along came Clawed Shannon. Shannon's
5:00
career was defined by two thunderbolts
5:03
of insight. When he was twenty
5:05
one in nineteen thirty eight, his
5:07
master's thesis showed that any
5:09
logical statement could be evaluated
5:11
by a machine, with true or
5:13
false being represented by switches
5:16
being open or closed. Those
5:18
dots and dashes of Morse code were
5:21
just a hint at the possibilities. Armed
5:23
only with open or closed on or
5:25
off dot or dash zero
5:28
or one, machines could
5:30
perform any operation in mathematics
5:33
or logic, And rather than
5:36
merely proving the point in abstract,
5:38
Shannon, who was barely old enough to
5:40
buy a beer, showed electrical
5:42
engineers how to efficiently
5:44
build a logic machine. Claude
5:47
Shannon had bridged the vast gap
5:50
between electrical wiring diagrams
5:52
and thought itself unlocking
5:55
the age of the digital computer.
6:00
Shannon's second thunderbolt was published
6:02
in nineteen forty eight, when he was working at
6:05
Bell Lamps alongside several
6:07
future Nobel prizewinners,
6:09
including the team that invented the transistor,
6:12
Shannon returned to the deep problem underlying
6:15
the Transatlantic cable fiasco.
6:18
He created a unified mathematical
6:21
theory of transmitting information.
6:24
Some of that theory seems obvious from
6:26
the viewpoint of the twenty first century.
6:29
We now take it for granted that information
6:31
bits and bytes and gigabytes might
6:34
represent anything a computer
6:36
game or a spreadsheet, or music
6:39
or pornography. But that idea
6:41
started with Shannon. Before
6:44
him, researchers only dimly grasped
6:47
the distinction between the meaning of a message
6:50
and the quantity of information it contained.
6:53
The idea of compressing a file
6:56
so that it took up less space were
6:58
Shannon's, and so too was
7:00
the utterly radical idea that
7:02
any amount of noise on a line could
7:04
be overcome. We didn't do
7:07
that by cranking up the voltage and melting
7:09
the undersea cable, nor did you need
7:11
to build a better listening device or a thicker
7:13
cable. No matter how much
7:16
distortion there was, you
7:18
could convey any message if
7:20
you had enough patience. All
7:22
you had to do was add redundancy
7:25
to the data. It's the inverse
7:27
of compressing a file. You add
7:29
extra data to make the message more
7:31
likely to be recoverable. Even in
7:33
the presence of interference, that
7:36
idea was unthinkable,
7:38
right up to the point that Claude Shannon
7:41
improved how to do it. This
7:46
new theory of information was revolutionary
7:49
and so elegant and general that it
7:51
could be applied to anything from the Internet
7:54
to genetic information in DNA,
7:56
even though the Internet did not then exist
7:58
and the double helix structure of DNA
8:01
had not yet been discovered. Shannon
8:04
wasn't merely ahead of his time. He
8:06
was the one who had wound the clock and
8:09
set it running. All this
8:12
and he'd barely turned thirty. So
8:15
what did Shannon do for an encore? Is
8:18
a description from his biographers, Jimmy
8:21
Sony and Rob Goodman of Shannon's
8:23
work ethic. Shannon
8:25
arrived late, if at all, and
8:28
often spend the day absorbed in games of chess
8:30
and hecks in the common areas. When
8:33
not besting his colleagues at board games,
8:35
he would be found piloting a unicycle
8:37
through Bell Labs's narrow passageways
8:40
Occasionally while juggling. Sometimes
8:42
he would po go stick his way around the Bell Labs
8:44
campus, much to the consternation reimagine
8:48
of the people who signed his paychecks.
8:51
Shannon wasn't goofing off completely.
8:53
He often worked hard, but the
8:55
projects he worked tom seemed whimsical.
8:58
For example, he spent many hours
9:00
at home playing with a colossal
9:03
erector set. He built a robot
9:05
mouse that could explore a maze and
9:08
by trial and error on the first attempt, learn
9:10
how to reach its target flawlessly on
9:13
the second run. The robot
9:15
mouse was clever and thought provoking,
9:17
and it might have represented real progress
9:19
towards artificial intelligence if
9:22
Shannon had persisted with it. But
9:24
he didn't. Shannon
9:27
built perhaps the first chess
9:29
playing computer, albeit
9:31
one that could play only a radically
9:33
simplified setup the end game
9:35
with six pieces. He published
9:37
a theoretical paper on computer chess.
9:40
It could have been the start of something, but
9:43
again he lost interest. It
9:46
seemed a shame. If anyone could
9:48
make progress with computer chess, surely
9:50
it was Shannon. He was good. Shannon
9:53
once traveled to Moscow and played chess
9:56
with three time world champion Mikhael
9:58
Botvinick, and he made Botfinick
10:00
sweat. When it wasn't
10:02
chess, it was juggling. Shannon tried
10:04
to figure out how to juggle upside down
10:07
by hanging from the ceiling and bouncing the balls
10:09
off the floor. He built juggling
10:11
robots too, and a variety
10:13
of machines designed to play abstract
10:16
games, such as hex and a
10:18
Rubic's Cube solving robot, and
10:20
the Jugglometer and a flame
10:23
throwing trumpet and the
10:25
Ultimate Machine. The
10:27
Ultimate Machine is a box with a switch and
10:29
a trapdoor, and you flick the switch
10:32
to turn it on. A robot finger
10:34
pops out of the trapdoor and flips
10:37
the switch back again to turn itself
10:39
off. Shannon made
10:41
giant styrofoam shoes so he
10:43
could walk on water at a nearby lake.
10:46
After Shannon learned to juggle, ride
10:48
a unicycle and walk a tight rope,
10:51
he formulated the aim of juggling on
10:53
a unicycle on a tight rope
10:56
alas he never got further than two
10:58
out of three.
11:02
Claude Shannon's boss, Henry Pollock,
11:05
said, Shannon has earned
11:07
the right to be nonproductive, and
11:11
of course he had, but
11:13
come on, you're a genius.
11:16
Claude, You're thirty three
11:18
years old. You're the Einstein of computer
11:20
science, and you're unicycling,
11:23
poe going and playing board games.
11:26
Shannon never again published
11:28
anything like his theory of information.
11:31
He never even came close. Once
11:34
he promised the editor of Scientific American
11:37
an article on the physics of juggling.
11:40
If that didn't seem trivial enough, he
11:42
followed it up with an unapologetic
11:45
letter, You probably think I've
11:47
been frittering. I say, frittering away my time
11:49
while my juggling paper is languishing on the
11:51
shelf. This is only half true.
11:53
I have come to two conclusions recently.
11:56
One, I'm a better poet than scientist.
11:59
Two. Scientific American should
12:01
have a poetry column instead
12:04
of his juggling research. Shannon
12:06
enclosed a seventy line poem about
12:09
Rubik's cubes, to be
12:11
sung to the tune of Tarara
12:14
Bundier. He
12:16
added, I'm still working on the
12:18
juggling paper. Shannon
12:21
never finished it. Not
12:24
only was he not producing thunderbolts,
12:27
he wasn't even producing a study of juggling.
12:30
Perhaps we should not be surprised
12:32
that Claude Shannon was happy to put
12:34
aside serious re search when
12:36
the young mathematician Ed Thorpe approached
12:39
him for help in hacking the roulette
12:41
table in Vegas. Cautionary
12:47
tales will be back in a moment.
12:57
If we know anything, we know we're supposed
12:59
to stick to a task. Psychologists
13:02
have developed some attractive ideas about
13:04
how success depends on practice
13:07
and determination. Is
13:09
Angela Duckworth, who's popularized
13:11
the idea of grit, Carol
13:14
Dwex research on the growth mindset,
13:16
and the late and as Ericsson, the
13:19
source of the ten thousand hour rule
13:21
made famous by Malcolm Gladwell. There
13:24
are subtleties to each of these research programs,
13:27
but the versions that have broken into popular
13:29
culture are simple enough. Like some
13:32
motivational poster, nothing
13:34
in this world can take the place of
13:37
persistence. Talent will
13:39
not. Nothing is more common than
13:41
unsuccessful people with talent. Genius
13:44
will not unrewarded genius
13:47
is almost proverb. The slogan
13:50
press I has solved
13:52
and always will solve the problems
13:54
of the human race. Isn't
13:56
that great? It's often attributed
13:59
to President Calvin Coolidge, but
14:01
it's older than that. Claude
14:03
Shannon, however, seems not to
14:05
have gotten the message he
14:08
achieved so much, But if it's
14:10
stuck to a task, couldn't he have achieved
14:12
so much more? Instead,
14:15
he was playing with flamethrowing trumpets,
14:17
juggling robots, and silly poems, oh
14:20
and the impossible task of beating the casino
14:23
at roulette. For
14:27
a junior academic, ed Thorpe
14:29
spent a surprising amount of time in
14:31
casinos, using some ferocious
14:34
mathematics and the best computers
14:36
he could access at MIT. Thorpe
14:39
had figured out that it was possible to beat
14:41
the dealer at the casino staple
14:43
blackjack by keeping track
14:45
of the cards that had been played in
14:48
placing bets when the deck was offering
14:50
favorable odds. Card
14:52
counting is a familiar idea these days.
14:55
It all started with Ed
14:57
Thorpe. Thorpe's
14:59
ideas were sophisticated enough to be worth
15:01
publishing as an academic paper, which
15:04
he did, but he wasn't
15:06
content with that. He wanted
15:08
to beat casino too. To
15:11
do that, Thorpe had to learn to
15:13
spot crooked dealing, where
15:15
a disguise count cards unobtrusively
15:18
late into the night, and above all,
15:21
make sure he didn't get killed. That
15:24
was no idle worry. One
15:27
day Thorpe made a little too much
15:29
money, and the casino spiked
15:31
his coffee with something mysterious
15:33
that blurred his vision for hours.
15:36
He came back the next day
15:38
and the casino tried it again, but
15:41
Thorpe wasn't scared. His
15:43
idea to beat Roulette was the boldest
15:46
of all. He didn't have in mind
15:48
a clever mathematical system. There
15:50
are loads of them, and he knew that none of
15:52
them work. Instead,
15:55
he planned to build a computer that could
15:57
predict where the ball would land. That
16:00
would be hard even today, but
16:02
at a time when computers were the size of
16:04
pianos, this computer
16:07
needed to be one that you could seal
16:09
inside your clothes, the
16:11
world's first wearable
16:13
computer, decades before the
16:16
fitbit, Google Glass or
16:18
the Apple Watch. Thorpe
16:21
had done some experiments on the timing of
16:23
a Roulette wheel with his wife, Vivian,
16:25
a woman who was both intelligent and
16:28
indulgent, as you'd need to be
16:30
if you were married to Ed Thorpe. But
16:33
to crack the problem he needed
16:35
to team up with perhaps the best
16:37
gadgeteer in the world, Claude
16:40
Shannon. Thorpe spent
16:42
twenty hours a week at Shannon's house
16:45
he was in heaven. The basement
16:48
was a gadgeteers paradise.
16:50
Moders, transistors, switches,
16:53
pulleys, gears, condensers, transformers.
16:56
I was now happily working with the
16:59
ultimate gadgeteer. Shannon
17:01
and Thorpe were able to time the spinning of
17:03
the ball around an upper loop and the contrary
17:06
motion of the wheel itself. With practice,
17:08
they were to start a clock within one
17:10
hundredth of a second and then stop the
17:13
clock after ten revolutions. That
17:15
gave them both the speed and the position of
17:17
the ball relative to the wheel, and Newtonian
17:19
physics could do the rest. The
17:22
result of months of experimentation
17:25
taught them that, using their computer to
17:27
compute the path of the ball, they could
17:29
predict that it would fall into one of five
17:31
numbers just over one eighth
17:33
of the wheel and expect to be right
17:36
twenty percent of the time. It seems
17:38
a modest advantage, but the potential
17:40
profits were enormous. All
17:43
they had to do was to figure out
17:45
how to miniaturize that computer, making
17:48
it small enough to slip into a pocket
17:50
and carry into the casino undetected.
17:53
It was an astonishingly audacious
17:56
project and a huge effort
17:58
For the final three weeks, Thorpe was
18:01
effectively living at Shannon's house, but
18:03
by August nineteen sixty one, the
18:06
device was ready with their
18:08
accomplices, Vivian Thorpe and Claude's
18:10
wife, the mathematician Betty Shannon.
18:13
The two gadgeteers then took it to the casinos.
18:16
The Einstein of computer science was
18:19
going to Las Vegas. Looking
18:25
at Claude Shannon's career from age
18:27
thirty three onwards, it's hard to
18:30
escape the conclusion that he might have
18:32
achieved more, much more, if
18:34
not for his habit of flitting between
18:36
whimsical projects and typically setting
18:39
them aside before they were finished. But
18:41
some very smart people would disagree.
18:44
Vanavar Bush arguably knew
18:46
more than anyone about the way scientific
18:49
progress occurred. He guided
18:51
science policy for the United States
18:53
during the Second World War, coordinating
18:56
the efforts of six thousand researchers.
18:59
Bush said that great scientists should
19:01
range widely and keep changing things
19:03
up. In a speech to professors
19:06
at MIT, Bush advocated
19:08
breath rather than depth. It
19:11
is unfortunate when a brilliant and creative
19:13
mind insists upon living
19:16
in a modern monastic cell. Bush's
19:19
idea was later backed up by scientific
19:21
investigation of scientists themselves.
19:26
In nineteen fifty eight, a remarkable
19:28
study was launched by a young psychologist
19:31
named Bernice Agison. The
19:33
study followed a group of promising
19:35
researchers as their careers unfolded,
19:38
periodically interviewing them and continuing
19:40
even after Agison herself died in
19:42
nineteen eighty five. Four of
19:45
the scientists eventually won Nobel
19:47
prizes. The findings
19:49
of the Agison study support Shannon's
19:51
habit of flipping from one project to
19:53
another. The scientists who'd
19:56
most flourished over the decades had
19:58
switched back and forth dozens
20:00
of times. Once you start
20:02
looking for this pattern, you see it everywhere.
20:05
Isaac Newton is most famous for formulating
20:07
the law of gravity, but made huge
20:10
advances in mathematics and optics.
20:13
He was the master of the Royal Mint and
20:15
was fascinated by economics, and
20:17
devoted as much attention to alchemy as
20:19
to anything else. Einstein
20:22
published four astonishing scientific
20:24
papers on four different topics,
20:26
all in the same year nineteen o five.
20:29
Charles Darwin worked simultaneously
20:32
on the theory of evolution, the definitive
20:34
two volume work on Barnacles
20:37
and a book about the human infant, begun
20:40
while his son William was a baby,
20:42
and published just in time for William
20:44
Darwin's thirty eighth birthday. Multiple
20:48
projects aren't unusual at the highest
20:50
level of science, they're the norm.
20:53
Not only that high achieving scientists
20:55
often have time consuming side interests,
20:58
pursuing photography, fine art, or
21:00
music at or near a
21:03
professional level. Nobel
21:05
Prize winning scientists are substantially
21:07
more likely to have serious hobbies
21:10
than other leading scientists, who
21:12
in turn are more likely to have them than the
21:14
rest of us. The
21:16
later part of Shannon's career fits
21:19
right into this highly diverse pattern,
21:22
but then so does the early part.
21:25
Back in nineteen thirty nine, shortly
21:27
after his first thunderbolt, he
21:29
wrote a note to an academic
21:31
mentor, Dear doctor
21:33
Bush, Yes, Van of our Bush,
21:36
the man who knew everyone who mattered
21:38
in mid century American science. Of
21:41
course, he was there to support the young
21:43
Claude Shannon. Dear doctor
21:45
Bush, I've been working on three
21:48
different ideas simultaneously, and strangely
21:50
enough, it seems a more productive method
21:52
than sticking to one problem.
21:55
When Shannon wrote to Van of oar Bush,
21:57
he wasn't working on engineering or logic.
22:00
He was working on genetics. He knew
22:02
nothing about the subject, but swiftly
22:04
produced a completely new kind
22:06
of algebra to describe and analyzed
22:09
genetic inheritance. The work
22:11
was intriguing and wholly original, but
22:14
needed developing. Did Shannon
22:16
develop it? He did not. In
22:19
fact, he never even bothered publishing
22:21
it. Neither did he ever return
22:23
to genetics. Later scholars
22:25
lament the loss. His new algebra
22:28
might really have advanced the field, but
22:30
sticking with genetics might also have meant
22:33
he never had his second thunderbolt on
22:35
information theory. Between
22:38
those two thunderbolts, Shannon didn't
22:40
just switch fields. He lived
22:42
a rich and complicated life. He
22:45
married and then divorced within a year.
22:47
He moved to Manhattan to spice things up.
22:50
It played chess in Washington Square Park.
22:52
It played clarinet. He loved the jazz
22:54
scene in New York. He swam,
22:57
played tennis, stayed up too late,
22:59
and played his music too loud. All
23:01
this was happening when Shannon was at the peak
23:04
of his intellectual powers. Shannon
23:06
didn't just hit thirty five then
23:09
and in serious thinking in favor of playing
23:11
around. Shannon was
23:13
playing around all along. Maybe
23:16
Shannon's love of frittering, I say,
23:18
frittering away his time on
23:20
juggling or unicycling, or
23:22
music or chess. Maybe
23:24
that's not the reason he produced only
23:27
two truly brilliant ideas. Maybe
23:30
it's the reason he produced two truly
23:32
brilliant ideas in the first
23:35
place. Cautionary
23:41
tales will be back in a moment. I
23:49
try hard to answer all the people
23:51
who write to me. I get anxious
23:54
knowing that the task is unfinished. Claude
23:57
Shannon didn't feel that same compulsion
23:59
to clear his inbox. He often
24:01
left correspondence unanswered, then
24:04
eventually cleared the decks through the use of
24:06
a trash can marked letters I've
24:08
procrassed, donated on for too long. That
24:11
might seem a trivial thing, but I think it
24:13
points to something deeper. Psychologists
24:16
have identified a tendency called completion
24:19
by us. If you've ever assembled
24:21
a list of things to do, then ticked
24:23
off all the easy ones while ignoring
24:26
the important stuff, you've
24:28
demonstrated completion by us. That
24:30
apparently admirable tendency persistence,
24:33
the determination to finish what we start
24:36
well, it could be twisted and perverted
24:39
if we feel compelled to reach the
24:41
finish line, we also feel
24:43
tempted to choose a short racetrack.
24:46
There's more at stake here than making ourselves
24:48
feel better by cheating with our own to
24:50
do lists. Psychologists
24:53
recently studied completion by us in a high
24:55
stakes setting, a hospital emergency
24:58
department. They found that the busier
25:00
the emergency room becomes, the
25:02
more the doctors look for quick winds
25:05
the patients who aren't really very ill and
25:07
can therefore be treated swiftly and
25:09
ticked off the list, and this behavior
25:12
is counterproductive. The more seriously
25:14
ill patients wait longer, of course, and
25:17
the doctors start to slow down after working
25:20
through a lot of fairly trivial cases.
25:22
I expect we all know the feeling, but
25:24
in their subconscious desire to see
25:27
some work through to completion, doctors
25:30
were harming the patients who were
25:32
in greatest need. Claude
25:36
Shannon's willingness to set aside projects
25:39
starts to look like a strength rather
25:41
than a weakness. Shannons certainly
25:44
could focus, whether building information
25:46
theory from scratch or building
25:48
a wearable computer to be Droulette.
25:51
Yet Shannon also seemed to have an
25:53
inner confidence that allowed him to declare
25:56
victory at any point that suited him.
25:58
If a piece of work was not good enough to publish,
26:01
fine, he was happy to leave it unpublished.
26:04
That juggling paper is an example, but
26:07
so too was his early work on genetic
26:09
algebra. One of Claude
26:11
Channon's colleagues at Bell Labs praised
26:14
him as a man of infinite
26:16
courage. He was talking about
26:19
Shannon's intellectual daring, a
26:22
willingness to march into unknown
26:24
territory to begin the search for solutions
26:26
to problems that seemed as unbeatable
26:29
as Roulette. But perhaps
26:31
courage is not quite the right word to
26:33
describe Shannon's approach. I
26:35
prefer in soussions. Claude
26:38
Channon just wasn't worried. He
26:41
didn't feel completion by us the way
26:43
you and I feel it. He would walk
26:45
away from any project at any time
26:48
without regret. And if
26:50
he was willing to abandon a stalled project,
26:53
where was the risk? And if there
26:55
was little risk, why talk about
26:57
courage. Shannon didn't
26:59
need courage, He just needed
27:02
the ability to move on. In
27:06
August nineteen sixty one, Claude
27:09
and Betty Shannon met ed and Vivian
27:11
Thorpe in a hotel room in Las
27:13
Vegas. Claude and Ed
27:15
prepared the wearable computer system, which
27:18
required both of them to operate. Shannon
27:21
controlled the computer itself, the
27:23
size of a cigarette packet, with twelve
27:25
transistors in it. He used
27:27
his toes to trigger silent mercury
27:30
switches hidden in his shoes. Thorpe,
27:33
whose research into blackjack had given him
27:35
plenty of experience hanging around in casinos,
27:38
was the one who would place the bets. He
27:40
had a radio receiver and an earpiece
27:43
connected to a hair thin steel wire.
27:46
The earpiece played an ascending musical
27:48
scale. Shannon would use
27:51
the toe switches to time a rotation
27:53
of the wheel and then the counter rotation
27:55
of the ball from the moment it passed
27:57
a reference mark. Thorpe
28:00
would hear the musical scale stop
28:02
on a continuous note at the moment
28:04
that Shannon finished timing the rotation,
28:07
and the pitch of that continuous would
28:09
indicate in which part of the wheel the
28:11
ball was likely to drop. Thorpe
28:14
still had a few seconds to place bets
28:17
and collect the money. Thorpe
28:20
knew from hard experience that they
28:22
had to be careful. Their
28:24
device wasn't illegal, it was
28:27
far too inconceivable for that,
28:30
but it wouldn't go down well if discovered.
28:33
Beating the casino required more
28:35
than just beating the game. That's
28:37
why the Shannons and the Thorpes stroll
28:40
up to the table separately, pretending
28:42
not to know each other. It's why Claude
28:44
Shannon's scribbling numbers down, distracting
28:46
the floor manager from what he's really doing. All
28:49
the while he's gazing intently
28:52
at the wheel from under his dark eyebrows
28:55
and his toe, silently pressing
28:58
and releasing the hidden control
29:00
of the computer. And
29:03
while Thorpe is standing at the other end of
29:05
the table, cheerfully placing his bets
29:07
the earpieces, seeing the signals
29:10
from Shannon's little computer in
29:12
giving Thorpe predictions in the
29:14
form of musical tones, and
29:16
Thorpe is winning. Not
29:22
everything goes smoothly. The fine
29:24
wires to Thorpe's earpiece break several
29:27
times, requiring a trip to the bathroom
29:29
to fix them. At one moment,
29:31
a horrified observer sees the
29:33
earpiece come loose and thinks some strange
29:36
insect is crawling out of Thorpe's
29:38
ear But fundamentally the
29:41
computer works perfectly. The
29:43
chips are stacking up fast. At
29:47
the end of the visit to Vegas, the Shannons
29:50
and the Thorpes pondered their options.
29:53
Ed Thorpe was bullish. He'd beaten
29:55
the casinos before and was happy to do
29:57
it again, but Betty, Claude
29:59
and Vivian weren't so sure. It
30:02
had been an exhilarating day,
30:04
but a nerve racking one, and casino's
30:07
simply banned players who seemed to in too
30:09
much for any reason, so making
30:11
the computer pay on a regular basis would
30:14
require constantly concealing their identities.
30:17
Thorpe was forced to admit they had
30:19
a point. The computer clearly
30:22
worked, and in theory
30:24
they could use it to make millions, but
30:27
was it worth the effort and the risk. Shannon
30:31
and Thorpe had had their fun, and
30:33
they'd proved their point to their own
30:35
satisfaction, and Claude Shannon
30:37
had other projects to play with, so
30:41
after months of hard work, the
30:43
world's first wearable computer was
30:46
retired, undefeated after
30:49
a single trip to Vegas. Decades
30:53
later, Thorpe reflected,
30:56
I have always thought it was a good decision.
31:03
When I first thought about writing this cautionary
31:05
tale, I thought it would be a warning not
31:08
to lose focus like Shannon did. I've
31:11
changed my mind now. I think
31:13
Shannon and Thorpe are inspirational
31:16
figures. The cautionary tale
31:18
isn't a warning to keep your focus. Instead,
31:21
it's a warning not to focus too
31:23
much. Don't commit yourself so
31:26
totally to a project that you lose
31:28
heart, or lose sight of creative
31:30
ideas, or lose your freedom
31:32
to change course. There's
31:35
one last lesson I think we can draw
31:37
from Claude Shannon's ability to move on.
31:40
In their Vegas hotel room, as
31:43
Shannon equipped Thorpe with his earpiece
31:45
and the fine connecting wires,
31:47
Shannon had cocked his head to one side
31:50
and smiled impishly. What
31:52
makes you tick? It was a joke
31:54
about the fact that Thorpe was plugged into a
31:57
machine, but young Thorpe took
31:59
it as a deep question from an older
32:01
and wiser man. What did
32:03
make him tick? Professional
32:05
gambling, academic mathematics
32:08
or something else? But then
32:11
why choose? Shannons
32:13
seem to do it all, from academia
32:15
to juggling, and so in
32:17
the end, would ed Thorpe. You
32:20
can find interviews with him well into his eighties,
32:23
still as sharp as anything, reminiscing
32:25
about blackjack and academic mathematics,
32:28
and the hundreds of millions of dollars
32:30
he eventually made after analyzing
32:32
the patterns in financial markets
32:34
as one of the first quants. One
32:38
of the intriguing ideas in Claude Channon's
32:40
mathematical theory of communication is
32:43
that a message can be compressed to
32:45
the precise extent that
32:47
it is predictable. A movie
32:49
can be compressed because each frame tends
32:52
to resemble the previous one. A
32:54
compression algorithm doesn't store the new
32:56
frame. Instead, it
32:58
stores a series of dips changes
33:01
from the previous frame. Movies
33:04
with lots of cuts or fast dramatic
33:06
movements are harder to compress.
33:09
The same is true more or less with the way
33:11
we remember our lives. Although
33:13
the brain is not a video recorder and
33:15
doesn't store diffs, it
33:17
does compress memories by recalling
33:20
the gist of an experience. If
33:22
I get up in the morning at the usual time,
33:24
eat my regular breakfast, walk the usual
33:27
route to the station, and catch the same train
33:29
as always to the office, my brain
33:31
doesn't trouble itself to remember much. The
33:34
diffs aren't worth bothering with a
33:37
life that's too predictable, creates
33:39
few memories. That's what prisoners
33:42
sometimes say about their years behind bars.
33:44
Don't remember much because it was all
33:46
the same or the pandemic
33:49
lockdown for me and perhaps
33:51
for you, involved sitting in
33:53
the same seat, doing the same thing every
33:55
day. Life in lockdown
33:57
was thin and forgettable. The
34:01
opposite experience is a vivid vacation
34:04
somewhere, packed with new sights and smells,
34:06
the people, the language, the architecture,
34:09
the food. These complex,
34:11
rich experiences defy compression.
34:14
The diffs are too big, so
34:16
the memories are rich. Has it really
34:18
only been ten hours since I arrived,
34:20
you ask yourself. Feels like a week.
34:23
So if you want a full life rich
34:26
with memories, keep searching
34:28
for new experiences Like
34:30
Shannon, don't be afraid to declare
34:33
victory and start afresh. Shannon
34:36
did everything the jazz and the juggling
34:38
of the chess, the intellectual journey
34:40
from genetics to the Rubik's cube, the
34:43
joky robots, and the flame throwing trumpet,
34:45
and he really did turn upside
34:48
down the way the world thought about
34:50
digital information. Not once,
34:53
but twice isn't
34:55
twice enough. The
35:07
key sources for this episode were Jimmy
35:09
Sony and Rob Goodman's biography
35:12
of Claude Shannon, A Mind at
35:14
Play, and Edward Thorpe's autobiography
35:17
A Man for All Markets. For
35:19
a fullest of references, see Tim
35:22
Harford dot com.
35:26
Cautionary Tales is written by me
35:28
Tim Harford with Andrew Wright.
35:31
It's produced by Ryan Dilley and Marilyn
35:33
Rust. The sound design and original
35:36
music are the work of Pascal Wise.
35:39
Julia Barton edited the scripts.
35:41
Starring in this series of Cautionary
35:43
Tales are Helena Bonon, Carter
35:46
and Jeffrey Wright, alongside
35:48
Nazar Alderazzi, Ed Gochen,
35:51
Melanie Gutteridge, Rachel Hanshaw,
35:54
cobnor Holbrook, Smith, Reg
35:56
Lockett, Missia Munroe, and
35:59
Rufus Wright. The show would
36:01
not have been possible without the work of Mia
36:03
LaBelle, Jacob Weissberg, hell
36:06
Faine, John Schnarz, Carlie
36:08
mc loori, Eric Sandler, Emily
36:11
Rostock, Maggie Taylor, Daniellow
36:14
Lakhan, and Maya Canning. Cautionary
36:17
Tales is a production of Pushkin
36:19
Industries. If you like the show, please
36:22
remember to share, rate, and review.
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