0:00:05.425,0:00:08.687
As a kid I always loved information

0:00:08.687,0:00:10.887
that I could get from data

0:00:10.889,0:00:13.839
and the stories that could be told[br]with numbers.

0:00:13.850,0:00:16.153
I remember, growing up,[br]I'd be frustrated

0:00:16.153,0:00:20.219
at how my own parents[br]would lie to me using numbers.

0:00:22.324,0:00:26.166
"Talithia, if I've told you once[br]I've told you a thousand times."

0:00:26.166,0:00:29.547
No dad, you've only told me 17 times

0:00:29.552,0:00:33.584
and twice it wasn't my fault.[br](Laughter)

0:00:33.584,0:00:36.601
I think that is one of the reasons[br]I got a Ph.D. in statistics.

0:00:36.601,0:00:38.132
I always wanted to know,

0:00:38.132,0:00:40.977
what are people trying to hide[br]with numbers?

0:00:40.977,0:00:42.319
As a statistician,

0:00:42.319,0:00:45.169
I want people to show me the data

0:00:45.169,0:00:48.252
so I can decide for myself.

0:00:48.684,0:00:51.978
Donald and I were pregnant[br]with our third child

0:00:51.978,0:00:55.218
and we were at about 41 and a half weeks,

0:00:55.218,0:00:58.499
what some of you may refer to[br]as being overdue.

0:00:58.499,0:01:00.234
Statisticians, we call that

0:01:00.234,0:01:03.193
being within the 95 percent[br]confidence interval.

0:01:03.193,0:01:04.677
(Laughter)

0:01:04.677,0:01:07.264
And at this point in the process

0:01:07.264,0:01:09.311
we had to come in every couple of days

0:01:09.311,0:01:11.481
to do a stress test on the baby,

0:01:11.481,0:01:12.922
and this is just routine,

0:01:12.922,0:01:16.735
it tests whether or not the baby[br]is feeling any type of undue stress.

0:01:17.288,0:01:20.168
And you are rarely, if ever,[br]seen by your actual doctor,

0:01:20.168,0:01:23.210
just whoever happens to be[br]working at the hospital that day.

0:01:23.210,0:01:26.238
So we go in for a stress test[br]and after 20 minutes

0:01:26.238,0:01:28.990
the doctor comes out and he says,

0:01:30.106,0:01:33.529
"Your baby is under stress,[br]we need to induce you."

0:01:35.323,0:01:39.770
Now, as a statistician,[br]what's my response?

0:01:40.987,0:01:43.227
Show me the data!

0:01:43.227,0:01:45.576
So then he proceeds to tell us

0:01:45.576,0:01:48.000
the baby's heart rate trace[br]went from 18 minutes,

0:01:48.000,0:01:50.442
the baby's heart rate was[br]in the normal zone

0:01:50.442,0:01:53.556
and for two minutes[br]it was in what appeared to be

0:01:53.556,0:01:56.746
my heart rate zone and I said,

0:01:56.746,0:01:59.547
"Is it possible that maybe[br]this was my heart rate?

0:01:59.547,0:02:01.460
I was moving around a little bit,

0:02:01.460,0:02:03.686
it's hard to lay still on your back,

0:02:03.686,0:02:06.028
41 weeks pregnant for 20 minutes.

0:02:06.028,0:02:08.154
Maybe it was shifting around."

0:02:08.154,0:02:11.745
He said, "Well, we don't want[br]to take any chances."

0:02:12.207,0:02:13.596
I said okay.

0:02:13.803,0:02:16.133
I said, "What if I was at 36 weeks

0:02:16.133,0:02:18.309
with this same data?

0:02:18.309,0:02:21.470
Would your decision be to induce?"

0:02:22.104,0:02:25.433
"Well, no, I would wait[br]until you were at least

0:02:25.433,0:02:27.559
38 weeks, but you are almost 42,

0:02:27.559,0:02:29.602
there is no reason[br]to leave that baby inside,

0:02:29.602,0:02:31.693
let's get you a room."

0:02:37.232,0:02:41.846
I said,[br]"Well, why don't we just do it again?

0:02:42.223,0:02:44.346
We can collect more data.

0:02:44.346,0:02:46.642
I can try to be really still[br]for 20 minutes.

0:02:46.642,0:02:49.523
We can average the two and see

0:02:49.523,0:02:52.330
what that means.[br](Laughter)

0:02:52.970,0:02:54.935
And he goes,

0:02:56.740,0:03:01.316
"Ma'am, I just don't want you[br]to have a miscarriage."

0:03:02.996,0:03:05.606
That makes three of us.

0:03:06.068,0:03:07.187
And then he says,

0:03:07.187,0:03:10.994
"Your chances of having[br]a miscarriage double

0:03:10.994,0:03:14.677
when you go past your due date.[br]Let's get you a room."

0:03:16.124,0:03:20.489
Wow. So now as a statistician,[br]what's my response?

0:03:21.796,0:03:23.538
Show me the data!

0:03:23.538,0:03:25.009
Dude, you're talking chances,

0:03:25.009,0:03:27.380
I do chances all day long,[br]tell me all about chances.

0:03:27.380,0:03:29.191
Let's talk chances.[br](Laughter)

0:03:29.356,0:03:31.156
Let's talk chances.

0:03:31.313,0:03:32.727
So I say, "Okay, great.

0:03:32.727,0:03:36.012
Do I go from a 30-percent [br]chance to a 60-percent chance?

0:03:36.012,0:03:38.185
Where are we here[br]with this miscarriage thing?

0:03:38.185,0:03:41.199
And he goes, "Not quite, but it doubles,

0:03:41.199,0:03:44.644
and we really just want[br]what's best for the baby."

0:03:46.224,0:03:48.805
Undaunted, I try a different angle.

0:03:48.981,0:03:53.650
I said, "Okay, out of 1,000[br]full-term pregnant women,

0:03:54.354,0:03:56.598
how many of them are going to miscarry

0:03:56.598,0:03:58.767
just before their due date?

0:03:58.767,0:04:01.611
And then he looks at me[br]and looks at Donald,

0:04:01.611,0:04:05.456
and he goes, about one in 1,000.

0:04:06.719,0:04:09.063
I said, "Okay, so of those 1,000 women,

0:04:09.063,0:04:12.427
how many are going to miscarry[br]just after their due date?"

0:04:14.006,0:04:17.150
"About two."[br](Laughter)

0:04:17.180,0:04:19.691
I said, "Okay, so you are telling me[br]that my chances

0:04:19.691,0:04:22.267
go from a 0.1-percent chance

0:04:22.710,0:04:25.925
to a 0.2-percent chance."

0:04:27.536,0:04:30.172
Okay, so at this point[br]the data is not convincing us

0:04:30.172,0:04:32.036
that we need to be induced,

0:04:32.036,0:04:34.130
and so then we proceed[br]to have a conversation

0:04:34.130,0:04:36.114
about how inductions lead to a higher rate

0:04:36.114,0:04:40.554
of Cesarean sections, and if at all[br]possible we'd like to avoid that.

0:04:40.581,0:04:41.606
And then I said,

0:04:41.606,0:04:44.891
"And I really don't think[br]my due date is accurate."

0:04:45.412,0:04:47.480
(Laughter)

0:04:47.480,0:04:49.621
And so this really stunned him

0:04:49.621,0:04:51.743
and he looked sort of puzzled

0:04:51.743,0:04:53.857
and I said, "You may not know this,

0:04:53.857,0:04:55.661
but pregnancy due dates are calculated

0:04:55.661,0:04:58.118
assuming that you have[br]a standard 28-day cycle,

0:04:58.118,0:04:59.327
and my cycle ranges —

0:04:59.327,0:05:02.580
sometimes it's 27,[br]sometimes it's up to 38 —

0:05:02.580,0:05:05.213
and I have been collecting[br]the data to prove it.

0:05:05.213,0:05:08.092
(Laughter)

0:05:09.563,0:05:14.465
And so we ended up leaving the hospital[br]that day without being induced.

0:05:15.154,0:05:19.412
We actually had to sign a waiver[br]to walk out of the hospital.

0:05:20.846,0:05:24.501
And I'm not advocating[br]that you not listen to your doctors,

0:05:24.986,0:05:27.191
because even with our first child,

0:05:27.191,0:05:30.370
we were induced at 38 weeks;[br]cervical fluid was low.

0:05:30.370,0:05:32.971
I'm not anti-medical intervention.

0:05:32.971,0:05:35.749
But why were confident to leave that day?

0:05:36.568,0:05:39.456
Well, we had data[br]that told a different story.

0:05:39.839,0:05:43.353
We had been collecting data for six years.

0:05:44.377,0:05:46.963
I had this temperature data,

0:05:46.963,0:05:48.484
and it told a different story.

0:05:48.484,0:05:53.293
In fact, we could probably pretty[br]accurately estimate conception.

0:05:56.094,0:05:58.070
Yeah, that's a story you want to tell

0:05:58.070,0:06:01.379
at your kid's wedding reception.[br](Laughter)

0:06:01.379,0:06:03.774
I remember like it was yesterday.

0:06:03.774,0:06:06.967
My temperature was a sizzling 97.8 degrees

0:06:07.165,0:06:10.295
as I stared into your father's eyes.[br](Laughter)

0:06:10.992,0:06:16.208
Oh, yeah. Twenty-two more years,[br]we're telling that story.

0:06:18.409,0:06:21.451
But we were confident to leave[br]because we had been collecting data.

0:06:21.451,0:06:23.326
Now, what does that data look like?

0:06:23.326,0:06:25.614
Here's a standard chart

0:06:25.614,0:06:28.523
of a woman's waking body temperature

0:06:28.523,0:06:30.251
during the course of a cycle.

0:06:30.251,0:06:32.335
So from the beginning[br]of the menstrual cycle

0:06:32.335,0:06:33.829
till the beginning of the next.

0:06:33.829,0:06:36.119
You'll see that the temperature[br]is not random.

0:06:36.119,0:06:38.097
Clearly there is a low pattern

0:06:38.097,0:06:40.197
at the beginning of her cycle

0:06:40.197,0:06:43.206
and then you see this jump[br]and then a higher set of temperatures

0:06:43.206,0:06:45.093
at the end of her cycle.

0:06:45.093,0:06:46.565
So what's happening here?

0:06:46.565,0:06:48.860
What is that data telling you?

0:06:49.221,0:06:51.719
Well, ladies,[br]at the beginning of our cycle,

0:06:51.719,0:06:54.933
the hormone estrogen[br]is dominant and that estrogen

0:06:54.933,0:06:58.585
causes a suppression[br]of your body temperature.

0:06:58.943,0:07:01.590
And at ovulation,[br]your body releases an egg

0:07:01.699,0:07:05.785
and progesterone takes over,[br]pro-gestation.

0:07:06.518,0:07:09.480
And so your body heats up in anticipation

0:07:11.391,0:07:14.838
of housing this new little fertilized egg.

0:07:14.973,0:07:17.715
So why this temperature jump?

0:07:17.715,0:07:21.181
Well, think about[br]when a bird sits on her eggs.

0:07:21.181,0:07:23.809
Why is she sitting on them?

0:07:24.148,0:07:25.871
She wants to keep them warm,

0:07:25.871,0:07:27.451
protect them and keep them warm.

0:07:27.451,0:07:30.005
Ladies, this is exactly[br]what our bodies do every month,

0:07:30.005,0:07:31.831
they heat up in anticipation

0:07:31.831,0:07:34.389
of keeping a new little life warm.

0:07:34.389,0:07:37.551
And if nothing happens,[br]if you are not pregnant,

0:07:37.551,0:07:41.925
then estrogen takes back over[br]and that cycle starts all over again.

0:07:42.312,0:07:44.301
But if you do get pregnant, sometimes you

0:07:44.301,0:07:46.987
actually see another shift[br]in your temperatures

0:07:46.987,0:07:50.194
and it stays elevated[br]for those whole nine months.

0:07:50.194,0:07:53.501
That's why you see those pregnant women[br]just sweating and hot,

0:07:53.501,0:07:56.594
because their temperatures are high.

0:07:56.594,0:08:00.794
Here's a chart that we had[br]about three or four years ago.

0:08:00.859,0:08:03.448
We were really very excited[br]about this chart.

0:08:03.448,0:08:05.589
You'll see the low temperature level

0:08:05.589,0:08:08.546
and then a shift and for about five days,

0:08:08.699,0:08:11.399
that's about the time[br]it takes for the egg to travel

0:08:11.399,0:08:13.908
down the fallopian tube and implant,

0:08:13.908,0:08:17.433
and then you see those temperatures[br]start to go up a little bit.

0:08:17.433,0:08:20.764
And in fact, we had[br]a second temperature shift,

0:08:21.039,0:08:24.797
confirmed with a pregnancy test[br]that were indeed pregnant

0:08:24.922,0:08:27.973
with our first child, very exciting.

0:08:27.973,0:08:29.963
Until a couple of days later

0:08:29.963,0:08:33.816
I saw some spotting[br]and then I noticed heavy blood flow,

0:08:34.101,0:08:38.270
and we had in fact[br]had an early stage miscarriage.

0:08:41.017,0:08:43.011
Had I not been taking my temperature

0:08:43.011,0:08:46.937
I really would have just thought[br]my period was late that month,

0:08:46.937,0:08:48.931
but we actually had data to show

0:08:48.931,0:08:51.824
that we had miscarried this baby,

0:08:51.824,0:08:53.819
and even though this data[br]revealed a really

0:08:53.819,0:08:55.363
unfortunate event in our lives,

0:08:55.363,0:08:58.018
it was information[br]that we could then take to our doctor.

0:08:58.018,0:09:00.348
So if there was a fertility issue[br]or some problem,

0:09:00.348,0:09:01.555
I had data to show:

0:09:01.555,0:09:03.944
Look, we got pregnant,[br]our temperature shifted,

0:09:03.944,0:09:05.645
we somehow lost this baby.

0:09:05.645,0:09:09.214
What is it that we can do[br]to help prevent this problem?

0:09:09.214,0:09:12.095
And it's not just about temperatures

0:09:12.095,0:09:14.854
and it's not just about fertility;

0:09:14.854,0:09:18.787
we can use data about our bodies[br]to tell us a lot of things.

0:09:18.787,0:09:22.471
For instance, did you know that taking[br]your temperature can tell you a lot

0:09:22.471,0:09:25.533
about the condition of your thyroid?

0:09:25.533,0:09:29.499
So, your thyroid works a lot like[br]the thermostat in your house.

0:09:29.499,0:09:32.399
There is an optimal temperature[br]that you want in your house;

0:09:32.399,0:09:33.650
you set your thermostat.

0:09:33.650,0:09:36.405
When it gets too cold in the house,[br]your thermostat kicks in

0:09:36.405,0:09:39.302
and says, "Hey, we need[br]to blow some heat around."

0:09:39.302,0:09:41.573
Or if it gets too hot,[br]your thermostat registers,

0:09:41.573,0:09:44.692
"Turn the A.C. on. Cool us off."

0:09:44.811,0:09:48.379
That's exactly how your thyroid works[br]in your body.

0:09:48.379,0:09:50.774
Your thyroid tries to keep[br]an optimal temperature

0:09:50.774,0:09:51.909
for your body.

0:09:51.909,0:09:54.933
If it gets too cold, your thyroid[br]says, "Hey, we need to heat up."

0:09:54.933,0:09:57.612
If it gets too hot,[br]your thyroid cools you down.

0:09:57.612,0:10:01.999
But what happens when your[br]thyroid is not functioning well?

0:10:01.999,0:10:04.117
When it doesn't function, then it shows up

0:10:04.117,0:10:05.817
in your body temperatures,

0:10:05.817,0:10:08.315
they tend to be lower than normal[br]or very erratic.

0:10:08.315,0:10:09.839
And so by collecting this data

0:10:09.839,0:10:12.377
you can find out information[br]about your thyroid.

0:10:12.377,0:10:16.032
Now, what is it, if you had a thyroid[br]problem and you went to the doctor,

0:10:16.032,0:10:17.924
your doctor would actually test

0:10:17.924,0:10:21.765
the amount of thyroid stimulating hormone[br]in your blood.

0:10:22.637,0:10:25.878
Fine. But the problem with that test is

0:10:25.878,0:10:28.541
it doesn't tell you how active[br]the hormone is in your body.

0:10:28.541,0:10:30.571
So you might have[br]a lot of hormone present,

0:10:30.571,0:10:32.756
but it might not be[br]actively working to regulate

0:10:32.756,0:10:33.843
your body temperature.

0:10:33.843,0:10:36.030
So just by collecting[br]your temperature every day,

0:10:36.030,0:10:38.539
you get information[br]about the condition of your thyroid.

0:10:38.539,0:10:41.332
So, what if you don't want to take[br]your temperature every day?

0:10:41.332,0:10:42.538
I advocate that you do,

0:10:42.538,0:10:44.780
but there are tons[br]of other things you could take.

0:10:44.780,0:10:47.656
You could take your blood pressure,[br]you could take your weight —

0:10:47.656,0:10:48.995
yeah, who's excited about

0:10:48.995,0:10:51.630
taking their weight every day?[br](Laughter)

0:10:52.040,0:10:56.229
Early on in our marriage,[br]Donald had a stuffy nose

0:10:56.355,0:10:59.753
and he had been taking[br]a slew of medications

0:10:59.945,0:11:03.997
to try to relieve his stuffy nose,[br]to no avail.

0:11:04.260,0:11:07.675
And so, that night he comes[br]and he wakes me up and he says,

0:11:07.788,0:11:11.628
"Honey, I can't breath out of my nose."

0:11:11.911,0:11:16.449
And I roll over and I look, and I said,[br]"Well, can you breath out of your mouth?"

0:11:16.534,0:11:18.429
(Laughter)

0:11:18.618,0:11:23.664
And he goes,[br]"Yes, but I can't breath out of my nose!"

0:11:24.940,0:11:28.104
And so like any good wife, I rush him

0:11:28.104,0:11:30.360
to the emergency room

0:11:30.706,0:11:32.603
at 2 o'clock in the morning.

0:11:32.603,0:11:34.949
And the whole time[br]I'm driving and I'm thinking,

0:11:34.949,0:11:37.572
you can't die on me now.

0:11:37.572,0:11:39.841
We just got married,

0:11:40.753,0:11:44.788
people will think I killed you![br](Laughter)

0:11:45.527,0:11:48.962
And so, we get to the emergency room,[br]and the nurse sees us,

0:11:48.962,0:11:51.567
and he can't breath out of his nose,

0:11:51.567,0:11:54.114
and so she brings us to the back[br]and the doctor says,

0:11:54.114,0:11:55.672
"What seems to be the problem?"

0:11:55.672,0:11:57.812
and he goes,[br]"I can't breath out of my nose."

0:11:57.812,0:12:00.119
And he said,[br]"You can't breath out of your nose?

0:12:00.119,0:12:03.805
No, but he can breath[br]out of his mouth. (Laughter)

0:12:04.698,0:12:07.794
He takes a step back[br]and he looks at both of us

0:12:07.794,0:12:11.472
and he says,[br]"Sir, I think I know the problem.

0:12:11.475,0:12:13.335
You're having a heart attack.

0:12:13.335,0:12:15.285
I'm going to order an EKG and a CAT scan

0:12:15.285,0:12:17.473
for you immediately."

0:12:19.073,0:12:21.878
And we are thinking, no, no, no.[br]It's not a heart attack.

0:12:21.878,0:12:24.347
He can breathe, just out of his mouth.

0:12:24.347,0:12:27.497
No, no, no, no, no.

0:12:28.315,0:12:30.575
And so we go back and forth[br]with this doctor

0:12:30.575,0:12:33.519
because we think[br]this is the incorrect diagnosis,

0:12:33.519,0:12:36.959
and he's like, "No really, it'll be fine,[br]just calm down."

0:12:36.959,0:12:38.945
And I'm thinking, how do you calm down?

0:12:38.945,0:12:41.529
But I don't think[br]he's having a heart attack.

0:12:41.529,0:12:44.601
And so fortunately for us, this doctor[br]was at the end of the shift.

0:12:44.601,0:12:47.329
So this new doctor comes in,[br]he sees us clearly distraught,

0:12:47.329,0:12:50.056
with a husband who can't breath

0:12:50.056,0:12:52.667
out of his nose.[br](Laughter)

0:12:52.898,0:12:55.540
And he starts asking us questions.

0:12:55.789,0:12:59.057
He says, "Well, do you two exercise?"

0:13:00.271,0:13:05.732
We ride our bikes,[br]we go to the gym occasionally.

0:13:07.548,0:13:09.494
(Laughter)

0:13:09.494,0:13:11.691
We move around.

0:13:12.301,0:13:15.337
And he says, "What were you doing[br]just before you came here?"

0:13:15.337,0:13:17.940
I'm thinking, I was sleeping, honestly.

0:13:17.940,0:13:19.994
But okay,[br]what was Donald doing just before?

0:13:19.994,0:13:23.176
So Donald goes into this slew[br]of medications he was taking.

0:13:23.176,0:13:26.638
He lists, "I took this decongestant[br]and then I took this nasal spray,"

0:13:26.638,0:13:29.275
and then all of a sudden[br]a lightbulb goes off and he says,

0:13:29.275,0:13:32.965
"Oh! You should never mix this[br]decongestant with this nasal spray.

0:13:33.052,0:13:35.614
Clogs you up every time.[br]Here, take this one instead."

0:13:35.614,0:13:37.714
He gives us a prescription.

0:13:37.714,0:13:40.277
We're looking at each other,[br]and I looked at the doctor,

0:13:40.277,0:13:42.353
and I said,[br]"Why is it that it seems like you

0:13:42.353,0:13:44.517
were able to accurately diagnose[br]his condition,

0:13:44.517,0:13:46.605
but this previous doctor wanted to order

0:13:46.605,0:13:48.939
an EKG and a CAT scan?"

0:13:48.939,0:13:51.194
And he looks at us and says,

0:13:51.194,0:13:55.669
"Well, when a 350-pound man walks in the[br]emergency room and says he can't breath,

0:13:55.669,0:13:57.598
you assume he's having a heart attack

0:13:57.598,0:13:59.984
and you ask questions later."

0:14:00.877,0:14:05.734
Now, emergency room doctors[br]are trained to make decisions quickly,

0:14:06.145,0:14:09.144
but not always accurately.

0:14:09.377,0:14:11.174
And so had we had some information

0:14:11.174,0:14:13.608
about our heart health to share with him,

0:14:13.608,0:14:16.747
maybe we would have gotten a better[br]diagnosis the first time.

0:14:16.747,0:14:19.543
I want you to consider[br]the following chart,

0:14:19.543,0:14:21.386
of systolic blood pressure measurements

0:14:21.386,0:14:25.142
from October 2010 to July 2012.

0:14:25.250,0:14:27.175
You'll see that these measurements start

0:14:27.175,0:14:30.418
in the prehypertension/hypertension zone,

0:14:31.838,0:14:34.287
but over about the course[br]of a year and a half

0:14:34.287,0:14:37.384
they move into the normal zone.

0:14:37.384,0:14:40.465
This is about the heart rate[br]of a healthy 16-year-old.

0:14:41.455,0:14:44.504
What story is this data telling you?

0:14:45.475,0:14:48.097
Obviously it's the data from someone

0:14:48.097,0:14:51.136
who's made a drastic transformation,

0:14:51.136,0:14:55.179
and fortunately for us,[br]that person happens to be here today.

0:14:56.150,0:15:00.115
So that 350-pound guy that walked[br]into the emergency room with me

0:15:00.115,0:15:03.665
is now an even sexier and healthier

0:15:03.665,0:15:08.971
225-pound guy,[br]and that's his blood pressure trace.

0:15:10.293,0:15:13.245
So over the course of that year and a half

0:15:13.245,0:15:15.105
Donald's eating changed

0:15:15.105,0:15:17.554
and our exercise regimen changed,

0:15:17.554,0:15:19.671
and his heart rate responded,

0:15:19.671,0:15:21.852
his blood pressure responded[br]to that change

0:15:21.852,0:15:24.093
that he made in his body.

0:15:24.093,0:15:25.507
So what's the take-home message

0:15:25.507,0:15:28.587
that I want you to leave with today?

0:15:28.587,0:15:33.808
By taking ownership of your data[br]just like we've done,

0:15:34.209,0:15:37.533
just by taking this daily measurements[br]about yourself,

0:15:37.533,0:15:40.021
you become the expert on your body.

0:15:40.021,0:15:42.092
You become the authority.

0:15:42.092,0:15:44.546
It's not hard to do.

0:15:44.546,0:15:46.779
You don't have to have[br]a Ph.D. in statistics

0:15:46.779,0:15:48.166
to be an expert in yourself.

0:15:48.166,0:15:50.058
You don't have to have a medical degree

0:15:50.058,0:15:52.219
to be your body's expert.

0:15:52.402,0:15:55.482
Medical doctors,[br]they're experts on the population,

0:15:55.482,0:15:58.593
but you are the expert on yourself.

0:15:58.593,0:16:00.406
And so when two of you come together,

0:16:00.406,0:16:02.432
when two experts come together,

0:16:02.432,0:16:04.698
the two of you are able[br]to make a better decision

0:16:04.698,0:16:07.125
than just your doctor alone.

0:16:07.125,0:16:10.115
Now that you understand[br]the power of information

0:16:10.115,0:16:12.652
that you can get through[br]personal data collection,

0:16:12.652,0:16:16.467
I'd like you all to stand[br]and raise your right hand.

0:16:16.467,0:16:18.435
(Laughter)

0:16:18.435,0:16:20.490
Yes, get it up.

0:16:24.217,0:16:29.753
I challenge you to take ownership[br]of your data.

0:16:31.145,0:16:34.334
And today, I hereby confer upon you

0:16:35.039,0:16:38.466
a TEDx associate's degree[br]in elementary statistics

0:16:38.466,0:16:42.995
with a concentration[br]in time-dependent data analysis

0:16:43.694,0:16:47.566
with all the rights and privileges[br]appertaining thereto.

0:16:47.839,0:16:51.258
And so the next time[br]you are in your doctor's office,

0:16:51.258,0:16:54.248
as newly inducted statisticians,

0:16:54.297,0:16:56.645
what should always be your response?

0:16:56.645,0:16:59.642
Audience: Show me the data![br]Talithia Williams: I can't hear you!

0:16:59.642,0:17:00.965
Audience: Show me the data!

0:17:00.989,0:17:02.120
TW: One more time!

0:17:02.120,0:17:03.841
Audience: Show me the data!

0:17:03.841,0:17:05.153
TW: Show me the data.

0:17:05.153,0:17:06.119
Thank you.

0:17:06.119,0:17:08.396
(Applause)