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TEDxClaremontColleges

Talithia Williams: Own your body's data

Filmed:

The new breed of high-tech self-monitors (measuring heartrate, sleep, steps per day) might seem targeted at competitive athletes. But Talithia Williams, a statistician, makes a compelling case that all of us should be measuring and recording simple data about our bodies every day — because our own data can reveal much more than even our doctors may know.

- Statistician
Talithia Williams builds statistical models that study the spatial and temporal structure of data. Full bio

As a kid I always loved information
00:12
that I could get from data
00:15
and the stories that could be told with numbers.
00:17
I remember, growing up, I'd be frustrated at
00:20
how my own parents would lie to me using numbers.
00:22
"Talithia, if I've told you once
I've told you a thousand times."
00:28
No dad, you've only told me 17 times
00:33
and twice it wasn't my fault. (Laughter)
00:37
I think that is one of the reasons I got a Ph.D. in statistics.
00:40
I always wanted to know,
00:43
what are people trying to hide with numbers?
00:44
As a statistician,
00:47
I want people to show me the data
00:48
so I can decide for myself.
00:52
Donald and I were pregnant with our third child
00:55
and we were at about 41 and a half weeks,
00:58
what some of you may refer to as being overdue.
01:00
Statisticians, we call that
01:04
being within the 95 percent confidence interval.
01:06
(Laughter)
01:08
And at this point in the process
01:10
we had to come in every couple of days
01:12
to do a stress test on the baby,
01:15
and this is just routine,
01:16
it tests whether or not the baby
is feeling any type of undue stress.
01:18
And you are rarely, if ever, seen by your actual doctor,
01:22
just whoever happens to be
working at the hospital that day.
01:26
So we go in for a stress test and after 20 minutes
01:29
the doctor comes out and he says,
01:32
"Your baby is under stress, we need to induce you."
01:35
Now, as a statistician, what's my response?
01:41
Show me the data!
01:45
So then he proceeds to tell us
01:49
the baby's heart rate trace went from 18 minutes,
01:52
the baby's heart rate was in the normal zone
01:54
and for two minutes it was in what appeared to be
01:56
my heart rate zone and I said,
01:59
"Is it possible that maybe this was my heart rate?
02:03
I was moving around a little bit,
02:05
it's hard to lay still on your back,
02:07
41 weeks pregnant for 20 minutes.
02:09
Maybe it was shifting around."
02:12
He said, "Well, we don't want to take any chances."
02:14
I said okay.
02:19
I said, "What if I was at 36 weeks
02:20
with this same data?
02:22
Would your decision be to induce?"
02:24
"Well, no, I would wait until you were at least
02:28
38 weeks, but you are almost 42,
02:31
there is no reason to leave that baby inside,
02:33
let's get you a room."
02:35
I said, "Well, why don't we just do it again?
02:37
We can collect more data.
02:44
I can try to be really still for 20 minutes.
02:45
We can average the two and see
02:48
what that means. (Laughter)
02:51
And he goes,
02:53
"Ma'am, I just don't want you to have a miscarriage."
02:57
That makes three of us.
03:04
And then he says,
03:07
"Your chances of having a miscarriage double
03:08
when you go past your due date. Let's get you a room."
03:12
Wow. So now as a statistician, what's my response?
03:16
Show me the data!
03:22
Dude, you're talking chances,
03:24
I do chances all day long, tell me all about chances.
03:25
Let's talk chances. (Laughter)
03:27
Let's talk chances.
03:29
So I say, "Okay, great.
03:31
Do I go from a 30-percent
chance to a 60-percent chance?
03:32
Where are we here with this miscarriage thing?
03:36
And he goes, "Not quite, but it doubles,
03:39
and we really just want what's best for the baby."
03:42
Undaunted, I try a different angle.
03:47
I said, "Okay, out of 1,000 full-term pregnant women,
03:49
how many of them are going to miscarry
03:55
just before their due date?
03:57
And then he looks at me and looks at Donald,
03:59
and he goes, about one in 1,000.
04:02
I said, "Okay, so of those 1,000 women, how many
04:06
are going to miscarry just after their due date?"
04:09
"About two." (Laughter)
04:14
I said, "Okay, so you are telling me that my chances
04:18
go from a 0.1-percent chance
04:20
to a 0.2-percent chance."
04:24
Okay, so at this point the data is not convincing us
04:28
that we need to be induced,
04:30
and so then we proceed to have a conversation
04:32
about how inductions lead to a higher rate
04:34
of Cesarean sections, and if at all
possible we'd like to avoid that.
04:36
And then I said,
04:40
"And I really don't think my due date is accurate."
04:42
(Laughter)
04:45
And so this really stunned him
04:47
and he looked sort of puzzled
04:50
and I said, "You may not know this,
04:52
but pregnancy due dates are calculated
04:54
assuming that you have a standard 28-day cycle,
04:55
and my cycle ranges —
04:58
sometimes it's 27, sometimes it's up to 38 —
04:59
and I have been collecting the data to prove it.
05:03
(Laughter)
05:06
And so we ended up leaving the hospital
that day without being induced.
05:10
We actually had to sign a waiver
to walk out of the hospital.
05:16
And I'm not advocating that you not listen to your doctors,
05:22
because even with our first child,
05:25
we were induced at 38 weeks; cervical fluid was low.
05:27
I'm not anti-medical intervention.
05:31
But why were confident to leave that day?
05:33
Well, we had data that told a different story.
05:36
We had been collecting data for six years.
05:40
I had this temperature data,
05:45
and it told a different story.
05:47
In fact, we could probably pretty
accurately estimate conception.
05:49
Yeah, that's a story you want to tell
05:56
at your kid's wedding reception. (Laughter)
05:58
I remember like it was yesterday.
06:01
My temperature was a sizzling 97.8 degrees
06:05
as I stared into your father's eyes. (Laughter)
06:07
Oh, yeah. Twenty-two more years, we're telling that story.
06:12
But we were confident to leave
because we had been collecting data.
06:18
Now, what does that data look like?
06:21
Here's a standard chart
06:23
of a woman's waking body temperature
06:26
during the course of a cycle.
06:29
So from the beginning of the menstrual cycle
06:31
till the beginning of the next.
06:32
You'll see that the temperature is not random.
06:34
Clearly there is a low pattern
06:36
at the beginning of her cycle
06:38
and then you see this jump and then a higher
06:40
set of temperatures at the end of her cycle.
06:43
So what's happening here?
06:45
What is that data telling you?
06:47
Well, ladies, at the beginning of our cycle,
06:49
the hormone estrogen is dominant and that estrogen
06:52
causes a suppression of your body temperature.
06:55
And at ovulation, your body releases an egg
06:59
and progesterone takes over, pro-gestation.
07:03
And so your body heats up in anticipation
07:08
of housing this new little fertilized egg.
07:10
So why this temperature jump?
07:14
Well, think about when a bird sits on her eggs.
07:17
Why is she sitting on them?
07:20
She wants to keep them warm,
07:22
protect them and keep them warm.
07:24
Ladies, this is exactly what our bodies do every month,
07:25
they heat up in anticipation
07:27
of keeping a new little life warm.
07:29
And if nothing happens, if you are not pregnant,
07:33
then estrogen takes back over and
that cycle starts all over again.
07:36
But if you do get pregnant, sometimes you
07:40
actually see another shift in your temperatures
07:42
and it stays elevated for those whole nine months.
07:45
That's why you see those pregnant
women just sweating and hot,
07:48
because their temperatures are high.
07:51
Here's a chart that we had about three or four years ago.
07:55
We were really very excited about this chart.
07:59
You'll see the low temperature level
08:01
and then a shift and for about five days,
08:03
that's about the time it takes for the egg to travel
08:07
down the fallopian tube and implant,
08:09
and then you see those temperatures
start to go up a little bit.
08:11
And in fact, we had a second temperature shift,
08:15
confirmed with a pregnancy test
that were indeed pregnant
08:18
with our first child, very exciting.
08:22
Until a couple of days later
08:25
I saw some spotting and then I noticed heavy blood flow,
08:27
and we had in fact had an early stage miscarriage.
08:32
Had I not been taking my temperature
08:37
I really would have just thought
my period was late that month,
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but we actually had data to show
08:45
that we had miscarried this baby,
08:46
and even though this data revealed a really
08:49
unfortunate event in our lives,
08:51
it was information that we could then take to our doctor.
08:53
So if there was a fertility issue or some problem,
08:55
I had data to show:
08:58
Look, we got pregnant, our temperature shifted,
08:59
we somehow lost this baby.
09:01
What is it that we can do to help prevent this problem?
09:03
And it's not just about temperatures
09:06
and it's not just about fertility;
09:10
we can use data about our bodies to tell us a lot of things.
09:13
For instance, did you know that taking
your temperature can tell you a lot
09:16
about the condition of your thyroid?
09:20
So, your thyroid works a lot like
the thermostat in your house.
09:22
There is an optimal temperature
that you want in your house;
09:26
you set your thermostat.
09:29
When it gets too cold in the house,
your thermostat kicks in
09:30
and says, "Hey, we need to blow some heat around."
09:33
Or if it gets too hot, your thermostat
09:36
registers, "Turn the A.C. on. Cool us off."
09:38
That's exactly how your thyroid works in your body.
09:41
Your thyroid tries to keep an optimal temperature
09:45
for your body.
09:48
If it gets too cold, your thyroid
says, "Hey, we need to heat up."
09:49
If it gets too hot, your thyroid cools you down.
09:51
But what happens when your
thyroid is not functioning well?
09:54
When it doesn't function, then it shows up
09:59
in your body temperatures,
10:01
they tend to be lower than normal or very erratic.
10:02
And so by collecting this data
10:05
you can find out information about your thyroid.
10:06
Now, what is it, if you had a thyroid
problem and you went to the doctor,
10:09
your doctor would actually test the amount of
10:13
thyroid stimulating hormone in your blood.
10:15
Fine. But the problem with that test is
10:18
it doesn't tell you how active the hormone is in your body.
10:22
So you might have a lot of hormone present,
10:25
but it might not be actively working to regulate
10:27
your body temperature.
10:29
So just by collecting your temperature every day,
10:30
you get information about the condition of your thyroid.
10:32
So, what if you don't want to take
your temperature every day?
10:35
I advocate that you do,
10:38
but there are tons of other things you could take.
10:40
You could take your blood pressure,
you could take your weight —
10:41
yeah, who's excited about
10:44
taking their weight every day? (Laughter)
10:46
Early on in our marriage, Donald had a stuffy nose
10:49
and he had been taking a slew of medications
10:54
to try to relieve his stuffy nose, to no avail.
10:57
And so, that night he comes and
he wakes me up and he says,
11:01
"Honey, I can't breath out of my nose."
11:05
And I roll over and I look, and I said,
"Well, can you breath out of your mouth?"
11:09
(Laughter)
11:14
And he goes, "Yes, but I can't breath out of my nose!"
11:16
And so like any good wife, I rush him
11:23
to the emergency room
11:26
at 2 o'clock in the morning.
11:27
And the whole time I'm driving and I'm thinking,
11:30
you can't die on me now.
11:33
We just got married,
11:36
people will think I killed you! (Laughter)
11:38
And so, we get to the emergency
room, and the nurse sees us,
11:43
and he can't breath out of his nose, and so
11:47
she brings us to the back and the doctor says,
11:49
"What seems to be the problem?" and
he goes, "I can't breath out of my nose."
11:51
And he said, "You can't breath out of your nose?
11:54
No, but he can breath out of his mouth. (Laughter)
11:56
He takes a step back and he looks at both of us
12:02
and he says "Sir, I think I know the problem.
12:05
You're having a heart attack.
12:09
I'm going to order an EKG and a CAT scan
12:10
for you immediately."
12:12
And we are thinking,
12:16
no, no, no. It's not a heart attack. He can breathe,
12:17
just out of his mouth. No, no, no, no, no.
12:20
And so we go back and forth with this doctor
12:25
because we think this is the incorrect diagnosis,
12:28
and he's like, "No really, it'll be fine, just calm down."
12:30
And I'm thinking, how do you calm down?
But I don't think he's having a heart attack.
12:34
And so fortunately for us, this
doctor was at the end of the shift.
12:38
So this new doctor comes in, he sees us clearly
12:41
distraught, with a husband who can't breath
12:44
out of his nose. (Laughter)
12:47
And he starts asking us questions.
12:50
He says, "Well, do you two exercise?"
12:53
We ride our bikes, we go to the gym occasionally.
12:58
(Laughter)
13:05
We move around.
13:07
And he says, "What were you doing
just before you came here?"
13:09
I'm thinking, I was sleeping, honestly.
13:12
But okay, what was Donald doing just before?
13:15
So Donald goes into this slew
of medications he was taking.
13:18
He lists, "I took this decongestant
and then I took this nasal spray,"
13:21
and then all of a sudden a lightbulb goes off and he says,
13:24
"Oh! You should never mix this
decongestant with this nasal spray.
13:26
Clogs you up every time. Here, take this one instead."
13:30
He gives us a prescription.
13:33
We're looking at each other, and I looked at the doctor,
13:35
and I said, "Why is it that it seems like you
13:37
were able to accurately diagnose his condition,
13:39
but this previous doctor wanted to order
13:41
an EKG and a CAT scan?"
13:44
And he looks at us and says,
13:46
"Well, when a 350-pound man walks in the
emergency room and says he can't breath,
13:49
you assume he's having a heart attack
13:53
and you ask questions later."
13:55
Now, emergency room doctors are
trained to make decisions quickly,
13:59
but not always accurately.
14:04
And so had we had some information
14:07
about our heart health to share with him,
14:08
maybe we would have gotten a
better diagnosis the first time.
14:10
I want you to consider the following chart,
14:14
of systolic blood pressure measurements
14:16
from October 2010 to July 2012.
14:18
You'll see that these measurements start
14:22
in the prehypertension/hypertension zone,
14:24
but over about the course of a year and a half
14:28
they move into the normal zone.
14:30
This is about the heart rate of a healthy 16-year-old.
14:33
What story is this data telling you?
14:37
Obviously it's the data from someone
14:41
who's made a drastic transformation,
14:44
and fortunately for us, that person
happens to be here today.
14:47
So that 350-pound guy that walked
into the emergency room with me
14:52
is now an even sexier and healthier
14:56
225-pound guy, and that's his blood pressure trace.
14:59
So over the course of that year and a half
15:06
Donald's eating changed
15:09
and our exercise regimen changed,
15:11
and his heart rate responded,
15:13
his blood pressure responded to that change
15:16
that he made in his body.
15:17
So what's the take-home message
15:19
that I want you to leave with today?
15:21
By taking ownership of your data just like we've done,
15:25
just by taking this daily measurements about yourself,
15:30
you become the expert on your body.
15:33
You become the authority.
15:36
It's not hard to do.
15:38
You don't have to have a Ph.D. in statistics
15:40
to be an expert in yourself.
15:42
You don't have to have a medical degree
15:44
to be your body's expert.
15:45
Medical doctors, they're experts on the population,
15:47
but you are the expert on yourself.
15:51
And so when two of you come together,
15:53
when two experts come together,
15:55
the two of you are able to make a better decision
15:57
than just your doctor alone.
16:00
Now that you understand the power of information
16:02
that you can get through personal data collection,
16:05
I'd like you all to stand and raise your right hand.
16:07
(Laughter)
16:11
Yes, get it up.
16:13
I challenge you to take ownership of your data.
16:18
And today, I hereby confer upon you
16:25
a TEDx associate's degree in elementary statistics
16:29
with a concentration in time-dependent data analysis
16:33
with all the rights and privileges appertaining thereto.
16:38
And so the next time you are in your doctor's office,
16:41
as newly inducted statisticians,
16:45
what should always be your response?
16:48
Audience: Show me the data!
Talithia Williams: I can't hear you!
16:50
Audience: Show me the data!
16:52
TW: One more time!
16:54
Audience: Show me the data!
16:55
TW: Show me the data.
16:57
Thank you.
16:58
(Applause)
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About the Speaker:

Talithia Williams - Statistician
Talithia Williams builds statistical models that study the spatial and temporal structure of data.

Why you should listen

Dr. Talithia Williams is an Associate Professor of Mathematics at Harvey Mudd College. Her professional experiences include research appointments at the Jet Propulsion Laboratory (JPL), the National Security Agency (NSA), and NASA. Dr. Williams develops statistical models that emphasize the spatial and temporal structure of data with environmental applications. She has been recognized for the development of a cataract model used to predict the cataract surgical rate for developing countries in Africa.

In addition to her academic accomplishments, Dr. Williams and her husband, Donald, actively teach and share foundational principles regarding the joys of Christian marriage. Dr. Williams’ talk will explore how each of us can begin to collect data about ourselves that can provide insight into our personal health.

More profile about the speaker
Talithia Williams | Speaker | TED.com