Return to Video

Why curiosity is the key to science and medicine

  • 0:01 - 0:02
    Science.
  • 0:03 - 0:06
    The very word for many of you conjures
    unhappy memories of boredom
  • 0:06 - 0:09
    in high school biology or physics class.
  • 0:09 - 0:12
    But let me assure that what you did there
  • 0:12 - 0:14
    had very little to do with science.
  • 0:14 - 0:17
    That was really the "what" of science.
  • 0:17 - 0:19
    It was the history
    of what other people had discovered.
  • 0:21 - 0:23
    What I'm most interested in as a scientist
  • 0:23 - 0:25
    is the "how" of science.
  • 0:25 - 0:29
    Because science is knowledge in process.
  • 0:29 - 0:33
    We make an observation,
    guess an explanation for that observation,
  • 0:33 - 0:35
    and then make a prediction
    that we can test
  • 0:35 - 0:37
    with an experiment or other observation.
  • 0:37 - 0:38
    A couple of examples.
  • 0:38 - 0:42
    First of all, people noticed
    that the Earth was below, the sky above,
  • 0:42 - 0:46
    and both the Sun and the Moon
    seemed to go around them.
  • 0:47 - 0:48
    Their guessed explanation
  • 0:48 - 0:51
    was that the Earth must be
    the center of the universe.
  • 0:52 - 0:55
    The prediction: everything
    should circle around the Earth.
  • 0:56 - 0:58
    This was first really tested
  • 0:58 - 1:01
    when Galileo got his hands
    on one of the first telescopes,
  • 1:01 - 1:03
    and as he gazed into the night sky,
  • 1:03 - 1:07
    what he found there was a planet, Jupiter,
  • 1:07 - 1:11
    with four moons circling around it.
  • 1:12 - 1:16
    He then used those moons
    to follow the path of Jupiter
  • 1:16 - 1:20
    and found that Jupiter
    also was not going around the Earth
  • 1:20 - 1:22
    but around the Sun.
  • 1:23 - 1:25
    So the prediction test failed.
  • 1:26 - 1:28
    And this led to
    the discarding of the theory
  • 1:29 - 1:31
    that the Earth was the center
    of the universe.
  • 1:31 - 1:35
    Another example: Sir Isaac Newton
    noticed that things fall to the Earth.
  • 1:35 - 1:38
    The guessed explanation was gravity,
  • 1:39 - 1:42
    the prediction that everything
    should fall to the Earth.
  • 1:42 - 1:45
    But of course, not everything
    does fall to the Earth.
  • 1:46 - 1:48
    So did we discard gravity?
  • 1:49 - 1:53
    No. We revised the theory and said,
    gravity pulls things to the Earth
  • 1:53 - 1:58
    unless there is an equal
    and opposite force in the other direction.
  • 1:58 - 2:00
    This led us to learn something new.
  • 2:01 - 2:04
    We began to pay more attention
    to the bird and the bird's wings,
  • 2:04 - 2:07
    and just think of all the discoveries
  • 2:07 - 2:09
    that have flown
    from that line of thinking.
  • 2:10 - 2:15
    So the test failures,
    the exceptions, the outliers
  • 2:15 - 2:19
    teach us what we don't know
    and lead us to something new.
  • 2:20 - 2:23
    This is how science moves forward.
    This is how science learns.
  • 2:24 - 2:26
    Sometimes in the media,
    and even more rarely,
  • 2:26 - 2:29
    but sometimes even scientists will say
  • 2:29 - 2:31
    that something or other
    has been scientifically proven.
  • 2:32 - 2:36
    But I hope that you understand
    that science never proves anything
  • 2:36 - 2:38
    definitively forever.
  • 2:40 - 2:43
    Hopefully science remains curious enough
  • 2:43 - 2:45
    to look for
  • 2:45 - 2:47
    and humble enough to recognize
  • 2:47 - 2:48
    when we have found
  • 2:48 - 2:50
    the next outlier,
  • 2:50 - 2:52
    the next exception,
  • 2:52 - 2:54
    which, like Jupiter's moons,
  • 2:54 - 2:56
    teaches us what we don't actually know.
  • 2:57 - 3:00
    We're going to change gears
    here for a second.
  • 3:00 - 3:02
    The caduceus, or the symbol of medicine,
  • 3:02 - 3:04
    means a lot of different things
    to different people,
  • 3:04 - 3:06
    but most of our
    public discourse on medicine
  • 3:06 - 3:09
    really turns it into
    an engineering problem.
  • 3:09 - 3:11
    We have the hallways of Congress,
  • 3:11 - 3:15
    and the boardrooms of insurance companies
    that try to figure out how to pay for it.
  • 3:16 - 3:17
    The ethicists and epidemiologists
  • 3:17 - 3:20
    try to figure out
    how best to distribute medicine,
  • 3:20 - 3:23
    and the hospitals and physicians
    are absolutely obsessed
  • 3:23 - 3:25
    with their protocols and checklists,
  • 3:25 - 3:28
    trying to figure out
    how best to safely apply medicine.
  • 3:28 - 3:30
    These are all good things.
  • 3:31 - 3:34
    However, they also all assume
  • 3:34 - 3:36
    at some level
  • 3:36 - 3:38
    that the textbook of medicine is closed.
  • 3:39 - 3:42
    We start to measure
    the quality of our health care
  • 3:42 - 3:44
    by how quickly we can access it.
  • 3:44 - 3:46
    It doesn't surprise me
    that in this climate,
  • 3:46 - 3:49
    many of our institutions
    for the provision of health care
  • 3:49 - 3:52
    start to look a heck of a lot
    like Jiffy Lube.
  • 3:52 - 3:54
    (Laughter)
  • 3:54 - 3:58
    The only problem is that
    when I graduated from medical school,
  • 3:58 - 4:00
    I didn't get one of those
    little doohickeys
  • 4:00 - 4:03
    that your mechanic
    has to plug into your car
  • 4:03 - 4:05
    and find out exactly what's wrong with it,
  • 4:05 - 4:07
    because the textbook of medicine
  • 4:07 - 4:09
    is not closed.
  • 4:09 - 4:11
    Medicine is science.
  • 4:12 - 4:14
    Medicine is knowledge in process.
  • 4:15 - 4:17
    We make an observation,
  • 4:17 - 4:19
    we guess an explanation
    of that observation,
  • 4:19 - 4:21
    and then we make a prediction
    that we can test.
  • 4:21 - 4:25
    Now, the testing ground
    of most predictions in medicine
  • 4:25 - 4:27
    is populations,
  • 4:27 - 4:30
    and you may remember
    from those boring days in biology class
  • 4:30 - 4:32
    that populations tend to distribute
  • 4:32 - 4:34
    around a mean
  • 4:34 - 4:36
    as a Gaussian or a normal curve.
  • 4:36 - 4:37
    Therefore, in medicine,
  • 4:37 - 4:40
    after we make a prediction
    from a guessed explanation,
  • 4:40 - 4:42
    we test it in a population.
  • 4:43 - 4:46
    That means that what we know in medicine,
  • 4:46 - 4:49
    our knowledge and our know-how,
  • 4:49 - 4:51
    comes from populations,
  • 4:51 - 4:54
    but extends only as far
  • 4:54 - 4:55
    as the next outlier,
  • 4:55 - 4:57
    the next exception,
  • 4:57 - 4:58
    which, like Jupiter's moons,
  • 4:58 - 5:01
    will teach us what we don't actually know.
  • 5:02 - 5:03
    Now, I am a surgeon
  • 5:03 - 5:06
    who looks after patients with sarcoma.
  • 5:06 - 5:08
    Sarcoma is a very rare form of cancer.
  • 5:09 - 5:11
    It's the cancer of flesh and bones.
  • 5:11 - 5:16
    And I would tell you that every one
    of my patients is an outlier,
  • 5:16 - 5:17
    is an exception.
  • 5:18 - 5:21
    There is no surgery I have ever performed
    for a sarcoma patient
  • 5:21 - 5:25
    that has ever been guided
    by a randomized controlled clinical trial,
  • 5:26 - 5:29
    what we consider the best kind
    of population-based evidence in medicine.
  • 5:30 - 5:33
    People talk about thinking
    outside the box,
  • 5:33 - 5:35
    but we don't even have a box in sarcoma.
  • 5:35 - 5:39
    What we do have as we take
    a bath in the uncertainty
  • 5:39 - 5:43
    and unknowns and exceptions
    and outliers that surround us in sarcoma
  • 5:43 - 5:48
    is easy access to what I think
    are those two most important values
  • 5:48 - 5:49
    for any science:
  • 5:49 - 5:51
    humility and curiosity.
  • 5:52 - 5:54
    Because if I am humble and curious,
  • 5:54 - 5:57
    when a patient asks me a question,
  • 5:57 - 5:58
    and I don't know the answer,
  • 5:59 - 6:00
    I'll ask a colleague
  • 6:00 - 6:03
    who may have a similar
    albeit distinct patient with sarcoma.
  • 6:03 - 6:06
    We'll even establish
    international collaborations.
  • 6:06 - 6:09
    Those patients will start
    to talk to each other through chat rooms
  • 6:09 - 6:10
    and support groups.
  • 6:11 - 6:14
    It's through this kind
    of humbly curious communication
  • 6:14 - 6:18
    that we begin to try and learn new things.
  • 6:19 - 6:21
    As an example, this is a patient of mine
  • 6:21 - 6:23
    who had a cancer near his knee.
  • 6:23 - 6:26
    Because of humbly curious communication
  • 6:26 - 6:28
    in international collaborations,
  • 6:28 - 6:33
    we have learned that we can repurpose
    the ankle to serve as the knee
  • 6:33 - 6:35
    when we have to remove the knee
    with the cancer.
  • 6:35 - 6:38
    He can then wear a prosthetic
    and run and jump and play.
  • 6:38 - 6:41
    This opportunity was available to him
  • 6:41 - 6:44
    because of international collaborations.
  • 6:44 - 6:46
    It was desirable to him
  • 6:46 - 6:49
    because he had contacted other patients
    who had experienced it.
  • 6:50 - 6:54
    And so exceptions and outliers in medicine
  • 6:54 - 6:58
    teach us what we don't know,
    but also lead us to new thinking.
  • 6:59 - 7:01
    Now, very importantly,
  • 7:01 - 7:05
    all the new thinking that outliers
    and exceptions lead us to in medicine
  • 7:05 - 7:08
    does not only apply
    to the outliers and exceptions.
  • 7:09 - 7:12
    It is not that we only learn
    from sarcoma patients
  • 7:12 - 7:14
    ways to manage sarcoma patients.
  • 7:15 - 7:17
    Sometimes, the outliers
  • 7:17 - 7:19
    and the exceptions
  • 7:19 - 7:22
    teach us things that matter quite a lot
    to the general population.
  • 7:23 - 7:25
    Like a tree standing outside a forest,
  • 7:25 - 7:29
    the outliers and the exceptions
    draw our attention
  • 7:29 - 7:34
    and lead us into a much greater sense
    of perhaps what a tree is.
  • 7:34 - 7:36
    We often talk about
    losing the forests for the trees,
  • 7:36 - 7:38
    but one also loses a tree
  • 7:38 - 7:40
    within a forest.
  • 7:41 - 7:43
    But the tree that stands out by itself
  • 7:43 - 7:46
    makes those relationships
    that define a tree,
  • 7:46 - 7:50
    the relationships between trunk
    and roots and branches,
  • 7:50 - 7:51
    much more apparent.
  • 7:51 - 7:53
    Even if that tree is crooked
  • 7:53 - 7:56
    or even if that tree
    has very unusual relationships
  • 7:56 - 7:58
    between trunk and roots and branches,
  • 7:58 - 8:01
    it nonetheless draws our attention
  • 8:01 - 8:03
    and allows us to make observations
  • 8:03 - 8:05
    that we can then test
    in the general population.
  • 8:06 - 8:08
    I told you that sarcomas are rare.
  • 8:08 - 8:11
    They make up about one percent
    of all cancers.
  • 8:11 - 8:15
    You also probably know that cancer
    is considered a genetic disease.
  • 8:16 - 8:19
    By genetic disease we mean
    that cancer is caused by oncogenes
  • 8:19 - 8:21
    that are turned on in cancer
  • 8:21 - 8:24
    and tumor suppressor genes
    that are turned off to cause cancer.
  • 8:24 - 8:27
    You might think
    that we learned about oncogenes
  • 8:27 - 8:29
    and tumor suppressor genes
    from common cancers
  • 8:29 - 8:31
    like breast cancer and prostate cancer
  • 8:31 - 8:32
    and lung cancer,
  • 8:32 - 8:34
    but you'd be wrong.
  • 8:34 - 8:37
    We learned about oncogenes
    and tumor suppressor genes
  • 8:37 - 8:38
    for the first time
  • 8:38 - 8:42
    in that itty-bitty little one percent
    of cancers called sarcoma.
  • 8:43 - 8:45
    In 1966, Peyton Rous got the Nobel Prize
  • 8:45 - 8:47
    for realizing that chickens
  • 8:47 - 8:51
    had a transmissible form of sarcoma.
  • 8:51 - 8:54
    30 years later, Harold Varmus
    and Mike Bishop discovered
  • 8:54 - 8:57
    what that transmissible element was.
  • 8:57 - 8:58
    It was a virus
  • 8:58 - 9:00
    carrying a gene,
  • 9:00 - 9:01
    the src oncogene.
  • 9:02 - 9:06
    Now, I will not tell you
    that src is the most important oncogene.
  • 9:06 - 9:07
    I will not tell you
  • 9:07 - 9:10
    that src is the most frequently
    turned on oncogene in all of cancer.
  • 9:10 - 9:13
    But it was the first oncogene.
  • 9:14 - 9:16
    The exception, the outlier
  • 9:16 - 9:19
    drew our attention and led us to something
  • 9:20 - 9:24
    that taught us very important things
    about the rest of biology.
  • 9:25 - 9:29
    Now, TP53 is the most important
    tumor suppressor gene.
  • 9:29 - 9:32
    It is the most frequently turned off
    tumor suppressor gene
  • 9:32 - 9:34
    in almost every kind of cancer,
  • 9:34 - 9:37
    but we didn't learn about it
    from common cancers.
  • 9:37 - 9:39
    We learned about it
    when doctors Li and Fraumeni
  • 9:39 - 9:41
    were looking at families
  • 9:41 - 9:43
    and they realized that these families
  • 9:43 - 9:45
    had way too many sarcomas.
  • 9:46 - 9:48
    I told you that sarcoma is rare.
  • 9:48 - 9:51
    Remember that a one
    in a million diagnosis,
  • 9:51 - 9:53
    if it happens twice in one family,
  • 9:53 - 9:55
    is way too common in that family.
  • 9:57 - 9:59
    The very fact that these are rare
  • 9:59 - 10:01
    draws our attention
  • 10:02 - 10:04
    and leads us to new kinds of thinking.
  • 10:05 - 10:07
    Now, many of you may say,
  • 10:07 - 10:08
    and may rightly say,
  • 10:09 - 10:10
    that yeah, Kevin, that's great,
  • 10:10 - 10:12
    but you're not talking
    about a bird's wing.
  • 10:13 - 10:16
    You're not talking about moons
    floating around some planet Jupiter.
  • 10:17 - 10:18
    This is a person.
  • 10:18 - 10:21
    This outlier, this exception,
    may lead to the advancement of science,
  • 10:21 - 10:23
    but this is a person.
  • 10:24 - 10:26
    And all I can say
  • 10:26 - 10:28
    is that I know that all too well.
  • 10:30 - 10:33
    I have conversations with these patients
    with rare and deadly diseases.
  • 10:34 - 10:36
    I write about these conversations.
  • 10:36 - 10:38
    These conversations are terribly fraught.
  • 10:38 - 10:40
    They're fraught with horrible phrases
  • 10:40 - 10:43
    like "I have bad news"
    or "there's nothing more we can do."
  • 10:44 - 10:47
    Sometimes these conversations
    turn on a single word:
  • 10:48 - 10:49
    "terminal."
  • 10:53 - 10:56
    Silence can also be rather uncomfortable.
  • 10:57 - 11:00
    Where the blanks are in medicine
  • 11:00 - 11:02
    can be just as important
  • 11:02 - 11:04
    as the words that we use
    in these conversations.
  • 11:05 - 11:07
    What are the unknowns?
  • 11:07 - 11:09
    What are the experiments
    that are being done?
  • 11:10 - 11:11
    Do this little exercise with me.
  • 11:11 - 11:15
    Up there on the screen,
    you see this phrase, "no where."
  • 11:15 - 11:16
    Notice where the blank is.
  • 11:17 - 11:20
    If we move that blank one space over
  • 11:21 - 11:22
    "no where"
  • 11:22 - 11:25
    becomes "now here,"
  • 11:25 - 11:27
    the exact opposite meaning,
  • 11:27 - 11:29
    just by shifting the blank one space over.
  • 11:32 - 11:33
    I'll never forget the night
  • 11:33 - 11:36
    that I walked into
    one of my patients' rooms.
  • 11:36 - 11:38
    I had been operating long that day
  • 11:38 - 11:40
    but I still wanted to come and see him.
  • 11:40 - 11:43
    He was a boy I had diagnosed
    with a bone cancer a few days before.
  • 11:44 - 11:47
    He and his mother had been meeting
    with the chemotherapy doctors
  • 11:47 - 11:48
    earlier that day
  • 11:48 - 11:51
    and he had been admitted
    to the hospital to begin chemotherapy.
  • 11:51 - 11:53
    It was almost midnight
    when I got to his room.
  • 11:53 - 11:56
    He was asleep, but I found his mother
  • 11:56 - 11:57
    reading by flashlight
  • 11:57 - 11:59
    next to his bed.
  • 11:59 - 12:01
    She came out in the hall
    to chat with me for a few minutes.
  • 12:02 - 12:04
    It turned out that
    what she had been reading
  • 12:04 - 12:07
    was the protocol
    that the chemotherapy doctors
  • 12:07 - 12:08
    had given her that day.
  • 12:08 - 12:09
    She had memorized it.
  • 12:11 - 12:15
    She said, "Doctor Jones, you told me
  • 12:15 - 12:17
    that we don't always win
  • 12:17 - 12:18
    with this type of cancer,
  • 12:20 - 12:23
    but I've been studying this protocol,
    and I think I can do it.
  • 12:24 - 12:28
    I think I can comply
    with these very difficult treatments.
  • 12:28 - 12:31
    I'm going to quit my job.
    I'm going to move in with my parents.
  • 12:31 - 12:33
    I'm going to keep my baby safe."
  • 12:35 - 12:37
    I didn't tell her.
  • 12:38 - 12:41
    I didn't stop to correct her thinking.
  • 12:42 - 12:44
    She was trusting in a protocol
  • 12:44 - 12:47
    that even if complied with,
  • 12:47 - 12:50
    wouldn't necessarily save her son.
  • 12:52 - 12:53
    I didn't tell her.
  • 12:54 - 12:56
    I didn't fill in that blank.
  • 12:57 - 12:59
    But a year and a half later
  • 12:59 - 13:02
    her boy nonetheless died of his cancer.
  • 13:03 - 13:05
    Should I have told her?
  • 13:05 - 13:08
    Now, many of you may say, "So what?
  • 13:08 - 13:09
    I don't have sarcoma.
  • 13:09 - 13:11
    No one in my family has sarcoma.
  • 13:11 - 13:12
    And this is all fine and well,
  • 13:12 - 13:15
    but it probably doesn't
    matter in my life."
  • 13:15 - 13:16
    And you're probably right.
  • 13:16 - 13:19
    Sarcoma may not matter
    a whole lot in your life.
  • 13:21 - 13:23
    But where the blanks are in medicine
  • 13:23 - 13:25
    does matter in your life.
  • 13:27 - 13:29
    I didn't tell you one dirty little secret.
  • 13:29 - 13:33
    I told you that in medicine,
    we test predictions in populations,
  • 13:33 - 13:34
    but I didn't tell you,
  • 13:35 - 13:37
    and so often medicine never tells you
  • 13:37 - 13:40
    that every time an individual
  • 13:40 - 13:42
    encounters medicine,
  • 13:42 - 13:46
    even if that individual is firmly
    embedded in the general population,
  • 13:47 - 13:50
    neither the individual
    nor the physician knows
  • 13:50 - 13:52
    where in that population
    the individual will land.
  • 13:53 - 13:56
    Therefore, every encounter with medicine
  • 13:56 - 13:57
    is an experiment.
  • 13:58 - 14:00
    You will be a subject
  • 14:00 - 14:02
    in an experiment.
  • 14:03 - 14:07
    And the outcome will be either
    a better or a worse result for you.
  • 14:08 - 14:10
    As long as medicine works well,
  • 14:10 - 14:13
    we're fine with fast service,
  • 14:13 - 14:17
    bravado, brimmingly
    confident conversations,
  • 14:18 - 14:19
    but when things don't work well,
  • 14:19 - 14:21
    sometimes we want something different.
  • 14:23 - 14:26
    A colleague of mine
    removed a tumor from a patient's limb.
  • 14:27 - 14:29
    He was concerned about this tumor.
  • 14:29 - 14:32
    In our physician conferences,
    he talked about his concern
  • 14:32 - 14:33
    that this was a type of tumor
  • 14:33 - 14:36
    that had a high risk
    for coming back in the same limb.
  • 14:37 - 14:39
    But his conversations with the patient
  • 14:39 - 14:41
    were exactly what a patient might want:
  • 14:41 - 14:42
    brimming with confidence.
  • 14:42 - 14:45
    He said, "I got it all
    and you're good to go."
  • 14:45 - 14:47
    She and her husband were thrilled.
  • 14:47 - 14:51
    They went out, celebrated, fancy dinner,
    opened a bottle of champagne.
  • 14:52 - 14:54
    The only problem was a few weeks later,
  • 14:54 - 14:57
    she started to notice
    another nodule in the same area.
  • 14:57 - 15:02
    It turned out he hadn't gotten it all
    and she wasn't good to go.
  • 15:02 - 15:04
    But what happened at this juncture
    absolutely fascinates me.
  • 15:05 - 15:07
    My colleague came to me and said,
  • 15:07 - 15:10
    "Kevin, would you mind
    looking after this patient for me?"
  • 15:10 - 15:13
    I said, "Why, you know the right thing
    to do as well as I do.
  • 15:13 - 15:15
    You haven't done anything wrong."
  • 15:15 - 15:20
    He said, "Please, just look
    after this patient for me."
  • 15:21 - 15:23
    He was embarrassed --
  • 15:23 - 15:24
    not by what he had done,
  • 15:25 - 15:27
    but by the conversation that he had had,
  • 15:28 - 15:29
    by the overconfidence.
  • 15:31 - 15:33
    So I performed
    a much more invasive surgery
  • 15:33 - 15:36
    and had a very different conversation
    with the patient afterwards.
  • 15:36 - 15:39
    I said, "Most likely I've gotten it all
  • 15:39 - 15:41
    and you're most likely good to go,
  • 15:41 - 15:44
    but this is the experiment
    that we're doing.
  • 15:45 - 15:47
    This is what you're going to watch for.
  • 15:47 - 15:49
    This is what I'm going to watch for.
  • 15:49 - 15:53
    And we're going to work together
    to find out if this surgery will work
  • 15:53 - 15:54
    to get rid of your cancer."
  • 15:55 - 15:57
    I can guarantee you, she and her husband
  • 15:57 - 16:00
    did not crack another bottle of champagne
    after talking to me.
  • 16:02 - 16:04
    But she was now a scientist,
  • 16:04 - 16:08
    not only a subject in her experiment.
  • 16:10 - 16:12
    And so I encourage you
  • 16:12 - 16:15
    to seek humility and curiosity
  • 16:15 - 16:16
    in your physicians.
  • 16:17 - 16:20
    Almost 20 billion times each year,
  • 16:20 - 16:24
    a person walks into a doctor's office,
  • 16:24 - 16:26
    and that person becomes a patient.
  • 16:27 - 16:31
    You or someone you love
    will be that patient sometime very soon.
  • 16:32 - 16:33
    How will you talk to your doctors?
  • 16:35 - 16:36
    What will you tell them?
  • 16:37 - 16:38
    What will they tell you?
  • 16:41 - 16:43
    They cannot tell you
  • 16:43 - 16:44
    what they do not know,
  • 16:46 - 16:49
    but they can tell you when they don't know
  • 16:50 - 16:52
    if only you'll ask.
  • 16:52 - 16:55
    So please, join the conversation.
  • 16:56 - 16:57
    Thank you.
  • 16:57 - 16:59
    (Applause)
Title:
Why curiosity is the key to science and medicine
Speaker:
Kevin Jones
Description:

more » « less
Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
17:13

English subtitles

Revisions Compare revisions