< Return to Video

Mathematics and Sex: Clio Cresswell at TEDxSydney

  • 0:12 - 0:17
    Yes, I am the mathematician
    who's going to get you so laid.
  • 0:17 - 0:19
    (Laughter)
  • 0:19 - 0:24
    And to begin I need you
    to stare at this equation.
  • 0:24 - 0:27
    I mean, there's your first orgasm
    right there, I know it.
  • 0:27 - 0:31
    But these are very sophisticated equations
  • 0:31 - 0:34
    that model a successful marriage.
  • 0:34 - 0:36
    And they're ground breaking equations
  • 0:36 - 0:39
    because it was the first time
    that truly sophisticated mathematics
  • 0:39 - 0:41
    was used in the field of romance.
  • 0:41 - 0:45
    And they predict with 95% accuracy rate
  • 0:45 - 0:48
    whether newlyweds will be together
    in six years time.
  • 0:48 - 0:50
    And you can see there's the "W" for wife
  • 0:50 - 0:52
    and the "H" for husband.
  • 0:52 - 0:56
    So, they modeled newlyweds
    talking about areas of contention
  • 0:56 - 0:58
    like the in-laws or money.
  • 0:58 - 1:00
    And then they modeled the responses
  • 1:00 - 1:03
    according to how each partner
    was responding to the other.
  • 1:03 - 1:05
    Body language as well.
  • 1:05 - 1:08
    And what came out
    was this interesting influence factor
  • 1:08 - 1:09
    at the end there,
  • 1:09 - 1:12
    which actually revealed that couples
  • 1:12 - 1:14
    that responded the least to each other
  • 1:14 - 1:17
    had a better chance
    of a successful marriage.
  • 1:17 - 1:18
    So that means --
    (Laughter)
  • 1:18 - 1:22
    I see some people are like,
    "We knew that."
  • 1:22 - 1:24
    So, couples that compromised the least
  • 1:24 - 1:27
    ended up being together the most.
  • 1:27 - 1:28
    This was very interesting
  • 1:28 - 1:31
    because a lot of therapy
    has been based on empathy.
  • 1:31 - 1:32
    And you laughed before,
  • 1:32 - 1:35
    so maybe you don't say
    when you partner comes home,
  • 1:35 - 1:38
    "Yes darling, I know. Let me rub your feet
    and fix you a martini."
  • 1:38 - 1:42
    Because what they've actually found
    is that might not be the best way forward.
  • 1:42 - 1:45
    Maybe the best way,
    or the mathematics revealed,
  • 1:45 - 1:47
    that having high standards
    and finding ways to reach
  • 1:47 - 1:50
    for those standards
    is in fact the way to go.
  • 1:50 - 1:53
    So mathematics is the study of patterns.
  • 1:53 - 1:56
    All the symbols that you see
    are in fact patterns.
  • 1:56 - 1:58
    You know, encapsulating patterns.
  • 1:58 - 2:01
    And we're very used to seeing
  • 2:01 - 2:04
    mathematics being used
    in physics and engineering.
  • 2:04 - 2:07
    That's just because
    it's been there the most.
  • 2:07 - 2:10
    You know, E equals mc squared.
    That's so early 1900's.
  • 2:10 - 2:12
    There's actually been an evolution.
  • 2:12 - 2:15
    Since the 80's
    we've seen mathematics venture
  • 2:15 - 2:19
    into stock market analysis,
    risk analysis that was new.
  • 2:19 - 2:22
    And then since the 1990's or 2000's even
  • 2:22 - 2:26
    we're seeing mathematics enter
    into the sometimes called Softer Sciences
  • 2:26 - 2:30
    like psychology, sociology,
    anthropology, biology.
  • 2:30 - 2:32
    New mathematics appears every day.
  • 2:32 - 2:36
    I brought in a few
    just to remind you of how that works.
  • 2:36 - 2:38
    Here's some latest research.
  • 2:38 - 2:40
    This is looking at antibiotic use
  • 2:40 - 2:44
    and how to implement antibiotics
    for tuberculosis
  • 2:44 - 2:46
    while getting the patient healthy,
  • 2:46 - 2:49
    but making sure
    that we avoid antibiotic resistance.
  • 2:49 - 2:51
    That came out a couple of weeks ago.
  • 2:51 - 2:55
    And this is looking at how an opinion
    spreads through a population.
  • 2:55 - 3:01
    And when will you have the coexistence
    of several opinions, or one big consensus.
  • 3:01 - 3:03
    One of my favorites,
    it's older but I couldn't resist.
  • 3:03 - 3:08
    This one's from 2009 and this is
    how to create the perfect chocolate.
  • 3:08 - 3:11
    One that melts in your mouth
    but not in your hand.
  • 3:11 - 3:15
    And yes, these are very sexy equations,
    I'm sure you'll agree.
  • 3:15 - 3:20
    Mathematics is absolutely everywhere
    these days; it's being used everywhere.
  • 3:20 - 3:21
    It really is no surprise
  • 3:21 - 3:24
    that now we're seeing
    the equations for love.
  • 3:24 - 3:27
    Now, love sucks.
    I know you all know that.
  • 3:27 - 3:30
    Because, yes, you're excited at first.
  • 3:30 - 3:33
    But then you're scared.
    Oh, my god. I haven't eaten.
  • 3:33 - 3:35
    You're sitting looking at your phone,
    "Please ring!"
  • 3:35 - 3:37
    Then they send you a two-word text.
  • 3:37 - 3:40
    And you're like, "Whoo-hoo!
    It's on like Donkey Kong."
  • 3:40 - 3:42
    (Laughter)
  • 3:44 - 3:48
    And so these equations
    look at which personality traits
  • 3:48 - 3:50
    are more likely to come together
  • 3:50 - 3:53
    to have a more stable
    companionship type love
  • 3:53 - 3:54
    because some people
  • 3:54 - 3:56
    they just end up being
    up and down continuously.
  • 3:56 - 3:59
    Imagine being in a relationship
    with Charlie Sheen.
  • 3:59 - 4:01
    That would be like
    well, unlike Donkey Kong
  • 4:01 - 4:03
    and also like this.
    (Laughter)
  • 4:03 - 4:06
    It gets a bit out of control --
    mathematically quite fast.
  • 4:06 - 4:09
    So just to tell you, it's about
  • 4:09 - 4:11
    one thing to look out for
    is if your partner --
  • 4:11 - 4:13
    if you overestimate
    your partner's qualities.
  • 4:13 - 4:17
    So with partners we can behave
    a bit like proud parents.
  • 4:17 - 4:20
    "He's so smart. He's so sexy."
    Everyone's just staring at this guy like
  • 4:20 - 4:21
    (mumbling)
  • 4:21 - 4:24
    Anyway, (Laughter)
  • 4:24 - 4:26
    here's some more mathematics.
  • 4:26 - 4:31
    Now, men report, on average,
    having had sex with two to four times
  • 4:31 - 4:35
    as many women than women do men.
  • 4:35 - 4:37
    And this does not make sense.
  • 4:37 - 4:38
    (Laughter)
  • 4:38 - 4:40
    It doesn't. (Laughter)
  • 4:40 - 4:44
    I know you're all thinking,
    "But what about prostitutes?"
  • 4:44 - 4:46
    "But what about my ex?
    He's slept with everybody."
  • 4:46 - 4:50
    No, every time a man
    has sex with a woman --
  • 4:50 - 4:52
    there are averages for other things --
  • 4:52 - 4:54
    But in a large enough sample space
  • 4:54 - 4:56
    it's going to be about the same,
    not off like this.
  • 4:56 - 4:58
    So here's an example.
  • 4:58 - 5:00
    Here's Charlie Sheen.
    He's had sex with everyone.
  • 5:00 - 5:02
    (Laughter)
  • 5:02 - 5:04
    Then the next guy, only one.
    One, one, one.
  • 5:04 - 5:07
    And that forces, you see,
    the outcome for the women.
  • 5:07 - 5:11
    The first one's had one.
    The others have had 2 partners each.
  • 5:11 - 5:15
    And 2, 4, 6, 8, 9.
    9 divided by 5
  • 5:15 - 5:18
    and on the right 5, 6, 7, 8, 9.
    9 divided by 5.
  • 5:18 - 5:20
    Every time a man has sex with a woman
  • 5:20 - 5:23
    it's adding to the general tally
    of both sides.
  • 5:23 - 5:25
    Now, why is this discrepancy?
  • 5:25 - 5:29
    Because the surveys
    are confidential and non-identifying,
  • 5:29 - 5:33
    it turns out, if you ask about kinky things,
    people are very honest.
  • 5:33 - 5:34
    (Laughter)
  • 5:34 - 5:37
    What we've turned to
    is we think it's counting strategy.
  • 5:37 - 5:43
    Because if you enumerate
    you'll be prone to an underestimation.
  • 5:43 - 5:47
    If you approximate
    you'll be prone to an overestimation.
  • 5:47 - 5:50
    So it seems women are going,
    "Justin, Brad,
  • 5:50 - 5:53
    the guy with the sexy biceps. The end."
  • 5:53 - 5:57
    And men are going,
    "20 a year for the last 5 years."
  • 5:57 - 6:00
    (Laughter) You know.
  • 6:01 - 6:04
    My favorite clue in all the data
  • 6:04 - 6:07
    was that 80% of men's results
    were divisible by 5.
  • 6:07 - 6:11
    (Laughter)
  • 6:11 - 6:15
    So, of course the mathematicians are like,
    "Yeah, no, you're lying."
  • 6:15 - 6:18
    (Laughter)
  • 6:20 - 6:23
    Back to some more waves.
  • 6:23 - 6:27
    Of course, there are waves
    in women's hormones.
  • 6:27 - 6:32
    And these equations look at what kind
    of mechanism is in a woman's body --
  • 6:32 - 6:36
    how does your body know
    28 days have gone by?
  • 6:36 - 6:40
    And it's based on understanding
    why women have all their immature eggs
  • 6:40 - 6:43
    at birth ready to go.
  • 6:43 - 6:46
    We hear so much about women's hormones,
  • 6:46 - 6:48
    so I've brought in men's as well.
  • 6:48 - 6:52
    These are ---
    (Laughter)
  • 6:52 - 6:55
    These are real.
    I'm not making them up.
  • 6:55 - 7:00
    These model the relationship between
    the brain and the testes
  • 7:00 - 7:04
    as the fluctuation happens during the day.
  • 7:04 - 7:07
    (Laughter)
  • 7:08 - 7:10
    I promise these are real.
  • 7:10 - 7:13
    Testosterone, for example,
    has a peak in the morning.
  • 7:13 - 7:15
    And a slump in the evening.
  • 7:15 - 7:18
    But there's actually
    a mini testosterone peak
  • 7:18 - 7:21
    every 2 to 2.5 hours in between.
  • 7:21 - 7:24
    So, you know what that means.
    Especially women.
  • 7:24 - 7:27
    If you ask a guy a favor
    and he's not responding
  • 7:27 - 7:29
    just wait half an hour
    and ask again, just try and --
  • 7:29 - 7:30
    (Laughter)
  • 7:30 - 7:34
    just try and get that slump moment.
  • 7:34 - 7:36
    It's got its purposes.
  • 7:36 - 7:38
    Though the peak
    has another purpose as well.
  • 7:38 - 7:42
    Yes, this is all great fun
    and I could carry on with fun maths
  • 7:42 - 7:43
    and sex problems for hours.
  • 7:43 - 7:47
    But ultimately, what I'm about
    is our amazing brain
  • 7:47 - 7:52
    and the impact of abstract thinking
    and the power of abstract thinking.
  • 7:52 - 7:55
    And so let me turn things
    a little bit around on you and say,
  • 7:55 - 7:58
    What do you think happens
    if you think about sex
  • 7:58 - 8:00
    before doing mathematics?
  • 8:00 - 8:02
    Because it's actually
    not super distracting.
  • 8:02 - 8:05
    You'll actually become better
  • 8:05 - 8:07
    at doing certain types of brain processes.
  • 8:07 - 8:11
    It turns out there's two fundamental types
    of brain processes.
  • 8:11 - 8:13
    You either think globally or locally.
  • 8:13 - 8:14
    Forest or trees.
  • 8:14 - 8:17
    And when you're solving a problem,
  • 8:17 - 8:21
    you often start with the global
    kind of analysis
  • 8:21 - 8:24
    and then you have to dig in deep
    and follow leads to solutions.
  • 8:24 - 8:28
    It turns out that we're now seeing
    with the latest research
  • 8:28 - 8:32
    that this is linked to creative
    versus analytical thinking.
  • 8:32 - 8:34
    And more than that we're finding
  • 8:34 - 8:36
    that it's actually
    very easily manipulated.
  • 8:36 - 8:40
    So, if you get people to think about love
    and then solve problems
  • 8:40 - 8:42
    they'll be better at the globalization,
  • 8:42 - 8:44
    the beginning, the creative part.
  • 8:44 - 8:47
    And if you get people to think about sex
  • 8:47 - 8:52
    they get better at the process
    part of the problem solving.
  • 8:52 - 8:53
    Easy as that.
  • 8:53 - 8:56
    And here's the bigger question
    that interests me.
  • 8:56 - 8:59
    What is this thing called mathematics
  • 8:59 - 9:01
    that's only been going
    for about 2,000 years
  • 9:01 - 9:04
    that popped up independently
    across the world
  • 9:04 - 9:06
    that so many people swear they can't do?
  • 9:06 - 9:09
    See, there's something
    that's not quite reconciling there.
  • 9:09 - 9:12
    You can't have something
    that's developed so recently
  • 9:12 - 9:15
    with some people
    just having an extra brain bit.
  • 9:15 - 9:19
    No, that doesn't make sense.
    It's about finding those right triggers.
  • 9:19 - 9:22
    Here's a school report card of mine
  • 9:22 - 9:24
    in French.
  • 9:24 - 9:28
    My parents are these wild, wild travelers
    always looking for wild parties.
  • 9:28 - 9:33
    I'm actually the conservative offspring
    of some crazy wild people.
  • 9:33 - 9:36
    As you see, we lived in Cannes, whatever.
    Great parties there.
  • 9:36 - 9:40
    But more importantly, you can see
    two out of 20 for mathematics.
  • 9:40 - 9:44
    And my best result was 15
    for Travaux Manuels et Technique.
  • 9:44 - 9:46
    which is woodwork.
  • 9:46 - 9:48
    (Laughter)
  • 9:48 - 9:53
    So it's very clear to me
    what life is like without mathematics.
  • 9:53 - 9:57
    Once I found mathematics at 18
    when I came to Australia,
  • 9:57 - 10:00
    it was the first time
    that I was connecting to something pure,
  • 10:00 - 10:03
    to something that was so amazing.
  • 10:03 - 10:06
    You see, pattern recognition
  • 10:06 - 10:09
    is right at the core of the animal kingdom.
  • 10:09 - 10:11
    You see, even reptiles recognize
  • 10:11 - 10:15
    whether it's something
    to eat, fight or have sex with.
  • 10:16 - 10:19
    Even a jellyfish knows which way is up
    and which way is down.
  • 10:19 - 10:21
    Now the seeds of the number concept
  • 10:21 - 10:24
    are also very much part
    of the animal kingdom.
  • 10:24 - 10:26
    A pack of animals will recognize
  • 10:26 - 10:29
    whether another pack
    is greater than theirs.
  • 10:29 - 10:32
    And you can actually teach a rat
    to press a lever
  • 10:32 - 10:35
    an approximate number of times
    to get food.
  • 10:35 - 10:37
    Now, you see how I the word approximate.
  • 10:37 - 10:43
    That's because the rat doesn't have
    self-awareness or a linguistic ability
  • 10:43 - 10:47
    to capture, tame those innate sensations.
  • 10:47 - 10:52
    So if the rat is just tapping three times
    1, 2, 3 -- it will kind of get it right.
  • 10:52 - 10:55
    But once it gets to 16,
    the poor little rat is tapping away
  • 10:55 - 10:58
    it doesn't know where it's reaching.
    And it's the same with us.
  • 10:58 - 11:01
    If you do an experiment
    where we can't count out
  • 11:01 - 11:04
    we'll make exactly the same
    mistakes as the rat.
  • 11:05 - 11:07
    We went further.
  • 11:07 - 11:10
    We went to things like 2 + 5 = 5 + 2.
  • 11:10 - 11:14
    I can swap the order of things
    and still reach the same result.
  • 11:14 - 11:16
    We went further still.
  • 11:16 - 11:18
    A + B = B + A
  • 11:18 - 11:21
    I can substitute
    any of the infinite number of numbers
  • 11:21 - 11:25
    that I'm now aware of in that formula
    and it means the same thing.
  • 11:25 - 11:29
    You see, language is more
    than just naming things.
  • 11:29 - 11:34
    With it, we also got cause and effect
    and temporal reasoning.
  • 11:34 - 11:40
    Mathematics is our most precise use
    of this syntactical understanding.
  • 11:40 - 11:44
    Because with mathematics
    at each step that you're creating
  • 11:44 - 11:47
    the pattern linking discovery,
    there's no ambiguity.
  • 11:47 - 11:49
    It is very precise
    what you're doing at each step,
  • 11:49 - 11:53
    what is in each classification.
    True or false. That's it.
  • 11:53 - 11:58
    In the box or outside the box.
    It's very clear, ultimate precision.
  • 11:58 - 12:01
    And that is why mathematics is so powerful
  • 12:01 - 12:04
    and being used more
    often right through to sex.
  • 12:04 - 12:06
    And that's why it's so hard
    because you're using
  • 12:06 - 12:12
    the limits of our evolution
    right to their extreme.
  • 12:12 - 12:14
    We're using,
    we're taming those innate sensations
  • 12:14 - 12:17
    with the most ultimate precision we can.
  • 12:17 - 12:21
    Mathematics as you can see, it's just ---
  • 12:21 - 12:25
    what's so breath taking is that it emerged
    independently across the globe.
  • 12:25 - 12:28
    And when people came together
    in peace or war
  • 12:28 - 12:34
    they may have clashed when it came
    to religion, cultures, languages,
  • 12:34 - 12:38
    but their mathematics,
    or pure pattern recognition just meshed.
  • 12:38 - 12:42
    You see, mathematics
    lies right at the roots of humanity.
  • 12:42 - 12:46
    Like sex, it transcends human culture.
  • 12:46 - 12:47
    And now that I've shared that with you,
  • 12:47 - 12:50
    you are the sexiest ladies in town.
  • 12:50 - 12:51
    (Laughter)
  • 12:51 - 12:52
    Thank you very much.
  • 12:52 - 12:55
    (Applause)
Title:
Mathematics and Sex: Clio Cresswell at TEDxSydney
Description:

Mathematics and sex are deeply intertwined. From using mathematics to reveal patterns in our sex lives, to using sex to prime our brain for certain types of problems, to understanding them both in terms of the evolutionary roots of our brain, Dr. Clio Cresswell shares her insight into it all.

more » « less
Video Language:
English
Team:
closed TED
Project:
TEDxTalks
Duration:
13:02
  • Hey there,

    Great job! That's an excellent transcription!

    All I did was fixing a few line breaks to make the lines more balanced in length and/or to keep linguistic "wholes" together, e.g.
    Mathematics is our most precise
    use of this syntactical understanding.
    Changed to:
    Mathematics is our most precise use
    of this syntactical understanding.

English subtitles

Revisions Compare revisions