Lets pool our medical data John Wilbanks

so I have bad news I have good news and

I have a task so the bad news is that we

all get sick I get sick you get sick

right every one of us gets sick and the

question really is how sick do we get is

it something that kills us is something

that we survive is it something that we

can treat and we’ve gotten sick as long

as we’ve been people and so we’ve always

looked for reasons to explain why we get

sick and for a long time it was the gods

right the gods are angry with me or the

gods are testing me right or God

singular more recently is punishing me

or judging me and as long as you look

for explanations we’ve wound up with

something that gets closer and closer to

science which is hypotheses as to why we

get sick and as long as you’ve had I

policies about why we get sick we’ve

tried to treat it as well this is Ava’s

Sena he wrote a book over a thousand

years ago called the Canon of medicine

and the rules he laid out for testing

medicines are actually really similar to

the rules we have today that the disease

and the medicine must be the same

strength the medicine needs to be pure

and in the end we need to test it in

people and so if you put together these

themes of a narrative or a hypothesis

and human testing right you get some

beautiful results even we didn’t have

very good technologies this is a guy

named Carlos Finley he had hypothesis

that was way outside the box for his

time and they late 1800s he thought

yellow fever was not transmitted by

dirty clothing he thought it was

transmitted by mosquitoes and they

laughed at him for 20 years they called

this guy the mosquito man but he ran an

experiment in people right he had his

hypothesis and he tested in people so he

got volunteers to go move to Cuba and

live in tents and be voluntarily

infected with yellow fever so some of

the people in some of the tents had

dirty clothes and some of the people

were in tents that were full of

mosquitoes that have an exposed to

yellow fever and it definitively proved

that it wasn’t this magic dust called

fomites and your clothes that caused

yellow fever if it wasn’t until we

tested in people that we actually

and this is what those people signed up

for this is what it looked like to have

yellow fever in Cuba at that time you

suffered in a tent in the heat alone and

you probably died but people volunteered

for this and it’s not just a cool

example of a scientific design of

experiment in theory they also did this

beautiful thing they signed this

document and it’s called an informed

consent document an informed consent is

an idea that we should be very proud of

as a society right it’s something that

separates us from the Nazis at Nuremberg

and forced medical experimentation it’s

the idea that agreement to join a study

without understanding isn’t agreement

it’s something that protects us from

harm from hucksters from people that

would try to hoodwink us into a clinical

study that we don’t understand or that

we don’t agree to and so you put

together the thread of narrative

hypothesis experimentation and human and

informed consent and you get what we

call clinical study and it’s how we do

the vast majority of medical work

doesn’t really matter in the north to

south to East the West clinical studies

form the basis of how we investigate so

if we’re going to look at a new drug all

right we tested in people we draw blood

we do experiments and we gain consent

for that study to make sure that we’re

not screwing people over as part of it

but the world is changing around the

clinical study which has been fairly

well established for tens of years if

not 50 to 100 years so now we were able

to gather data about our genomes but as

we saw earlier our genomes aren’t

dispositive we’re able to gather

information about our environment and

more importantly we’re able to gather

information about our choices because it

turns out that what we think of as our

health is more like the interaction of

our bodies our genomes our choices and

our environment and the clinical methods

that we’ve got aren’t very good at

studying that because they are based on

the idea of person-to-person interaction

you interact with your doctor and you

get enrolled in the study so this is my

grandfather actually never met him but

he’s holding my mom and his genes are in

me right his choices ran through to me

he was a smoker like most people this is

my son so my grandfather’s genes go all

the way through to him

and my choices are going to affect his

health the technology between these two

pictures cannot be more different but

the methodology for clinical studies has

not radically changed over that time

period we just have better statistics

the way we gain informed consent was

formed in large part after World War Two

around the time that picture was taken

that was 70 years ago and the way we

gain informed consent this tool is

created to protect us from harm now

creates silos so the data that we

collect for prostate cancer or for

Alzheimer’s trials goes into silos where

it can only be used for prostate cancer

or for Alzheimer’s research right it

can’t be networked it can’t be

integrated it cannot be used by people

who aren’t credentialed so a physicist

can’t get access to without filing

paperwork a computer scientist can’t get

access to about filing paperwork

computer scientists aren’t patient they

don’t file paperwork this is an accident

these are tools that we created to

protect us from harm what they’re doing

is protecting us from innovation now and

that wasn’t the goal it wasn’t the point

right it’s a side effect if you will of

a power recreated to take us for good

and so if you think about it the

depressing thing is that Facebook would

never make a change to something as

important as an advertising algorithm

with a sample size as small as a phase 3

clinical trial we cannot take the

information from past trials and put

them together to form statistically

significant samples and that sucks right

so forty-five percent of men developed

cancer thirty-eight percent of women

develop cancer one in four men dies of

cancer one in five women dies of cancer

at least in the United States and three

out of the four drugs we give you if you

get cancer fail and this is personal to

me my sister is a cancer survivor my

mother-in-law is a cancer survivor

cancer sucks and when you have it you

don’t have a lot of privacy in the

hospital you’re naked the vast majority

of the time people you don’t know come

in and look at you and poke you and prod

you and when I tell cancer survivors

that this tool we created to protect

them is a

preventing their data from being used

especially when only three to four

percent of people who have cancer ever

even sign up for a clinical study their

reaction is not thank you God for

protecting my privacy it’s out range we

have this information that we can’t use

it and it’s an accident so the cost and

blood and treasure of this is enormous

226 billion a year is spent on cancer in

the United States 1,500 people a day die

in the United States and it’s getting

worse so the good news is that some

things have changed and the most

important thing that’s changed is that

we can now measure ourselves in ways

that used to be the Dominion of the

health system so a lot of people talk

about it is digital exhaust I like to

think of it as the dust that runs along

behind my kid we can reach back and grab

that dust and we can learn a lot about

health from it so if our choices are

part of our health what we eat is a

really important aspect of our health so

you can do something very simple and

basic and take a picture of your food

and enough people do that we can learn a

lot about how our food affects our

health one interesting thing that came

out of this this is an app for iPhones

called the eatery is that we think our

pizza is significantly healthier than

other people’s pizza is I

and it seems like a trivial result but

this is the sort of research that used

to take the health system years and

hundreds of thousands of dollars to

accomplish it was done in five months by

a startup company of a couple of people

I don’t have any financial interest in

it but more non trivially we can get our

genotypes done and although our

genotypes aren’t this positive they give

us clues so I could show you mine it’s

just a st CS and G’s this is the

interpretation of it as you can see i

carry a thirty-two percent risk of

prostate cancer twenty-two percent risk

of psoriasis of a 14-percent risk of

Alzheimer’s disease so that means if

you’re a geneticist you’re freaking out

going oh my god you’re told every when

you carry the apoe4 allele what’s wrong

with you all right when i got these

results i started talking to doctors and

they told me not to tell anyone of my

reaction is is that going to help anyone

cure me when i get the disease and no

one could tell me yes and i live in a

web world where when you share things

beautiful stuff happens not bad stuff so

I started putting this in my slide decks

and I got even more obnoxious I went to

my doctor I so I like tech she gave my

blood work please give me back my data

so this is my most recent bloodwork as

you can see I have high cholesterol I

have particularly high bad cholesterol

and I have some bad liver numbers but

those are because we had a dinner party

with a lot of good wine the night before

we ran the test all right but look at

how non computable this information is

this is like the photograph of my

granddad holding my mom from a data

perspective and I had to go into the

system and get it out so the thing that

I’m proposing we do here is that we

reach behind us and we grab the dust

they reach into our bodies and we grab

the genotype and the reach into the

medical system when we grab our records

and we use it to build something

together which is a comment and it’s

been a lot of talk about Commons is

right here there everywhere right a

Commons is nothing more than a public

good that we build out of private goods

we do it voluntarily we do it through

standardized legal tools we do it

through standardized technologies that’s

all the commons is it’s something that

we build together because we think it’s

important and a commons of data is

something that’s really unique because

we make it from our own data and

although a lot of people like privacy is

their methodology of control around data

sess around privacy at least some of us

really like to share as a form of

control and what’s remarkable about

digital Commons is if you don’t need a

big percentage if your sample size is

big enough to generate something massive

and beautiful so not that many

programmers write free software but we

have the Apache web server not that many

people who read Wikipedia edit but it

works so as long as some people like to

share as their form of control we can

build a Commons as long as we can get

the information out and in biology the

numbers are even better so Vanderbilt

ran a study asking people we’d like to

take your bio samples your blood and

share them in a bio bank and only five

percent of the people opted out I’m from

Tennessee it’s not the most science

positive state in the United States of

America but only five percent of people

wanted out so people like to share if

you give them the opportunity and the

choice and the reason that I got

obsessed with this besides the obvious

family aspects is that I spend a lot of

time around mathematicians and

mathematicians are drawn to places where

there’s a lot of data because they can

use it to tease signals out of noise and

those correlations they can tease out

they’re not necessarily causal agents

but math in this day and age is like a

giant set of power tools that we’re

leaving on the floor not plugged in and

health while we use hand saws if we have

a lot of shared genotypes and a lot of

shared outcomes and a lot of shared

lifestyle choices and a lot of shared

environmental information we can start

to tease out the correlations between

subtle variations and people the choices

they make and the health that they

create as a result of those choices and

is open source infrastructure to do all

of this sage by our networks is a

non-profit that’s built a giant math

system that’s waiting for data but there

isn’t any so that’s what I do I’ve

actually started what we think is the

world’s first fully digital fully self

contributed unlimited in scope global

and participation ethically approved

clinical research study where you

contribute the data so if you reach

behind yourself and you grab the dust if

you reach into your body and grab your

genome if you reach into the medical

system and somehow extract your medical

record

you can actually go through an online

informed consent process because the

donation of the comments must be

voluntary and it must be informed and

you can actually upload your information

and have its indicated to the

mathematicians who will do this sort of

big data research and the goal is to get

a hundred thousand in the first year and

a million in the first five years so

that we have a statistically significant

cohort that you can use to take smaller

sample sizes from traditional research

and map it against so you can use it to

tease out those subtle correlations

between the variations that make us

unique and the kinds of health that we

need to move forward as a society and I

spent a lot of time around other Commons

I’ve been around the early web I’ve been

around the early Creative Commons world

and there’s four things that all of

these share which is they’re all really

simple and so if you were to go to the

website and then role in this study

you’re not going to see something

complicated but it’s not simplistic

these things are weak intentionally

right because you can always add power

and control to a system but it’s very

difficult to remove those things if you

put them in at the beginning and so

being simple doesn’t mean being

simplistic and being weak doesn’t mean

weakness right those are strengths in

the system and open doesn’t mean that

there’s no money closed systems

corporations make a lot of money on the

open web and then one of the reasons why

the open web lives is that corporations

have a vested interest in the openness

of the system so all of these things are

part of this of the clinical study that

we’ve created so you can actually come

in all you have to be is 14 years old

willing to sign a contract that says I’m

not going to be a jerk basically and

you’re in you can start analyzing the

data you do have to solve a CAPTCHA as

well right

and if you’d like to build corporate

structures on top of it that’s okay too

that’s all in the consent so if you

don’t like those terms you don’t come in

and it’s very much the design principles

of a Commons that we’re trying to bring

the health data and the other thing

about these systems is that it only

takes a small number of really

unreasonable people working together to

create it didn’t take that many people

to make Wikipedia Wikipedia or to keep

it wikipedia and we’re not supposed to

be unreasonable in health and so I hate

this word patient right I don’t like

being patient when systems are broken

and healthcare is broken I’m talking

about the politics of health care i’m

talking about the way we scientifically

approach health care so i don’t want to

be patient and the task i’m giving to

you is to not be patient so I’d like you

to actually try when you go home to get

your data you’ll be shocked and offended

and I would bet outraged at how hard it

is to get it but it’s a challenge that I

hope you’ll take and maybe you’ll share

it maybe you won’t if you don’t have

anyone in your family who’s sick maybe

you wouldn’t be unreasonable but if you

do if you’ve been sick then maybe you

would and we’re going to be able to do

an experiment in the next several months

that lets us know exactly how many

unreasonable people are out there this

is the Athena Breast Health Network it’s

a study of 150,000 women in California

and they’re going to return all the data

to the participants of the study in a

computable form with one click ability

to load it into the study that I’ve put

together so we’ll know exactly how many

people are willing to be unreasonable so

what I’d end is the most beautiful thing

I’ve learned since I quit my job almost

a year ago to do this is that it really

doesn’t take very many of us to achieve

spectacular results you just have to be

willing to be unreasonable and the risk

we’re running is not the risk those 14

men who got yellow fever ran right is to

be naked digitally in public so you know

more about me and my health than I know

about you it’s asymmetric now and being

naked and alone can be terrifying but to

be naked in a group voluntarily it can

be quite beautiful and so it doesn’t

take all of us it just takes all of some

of us thank you

you

所以我有坏消息 我有好消息而且

我有一项任务 所以坏消息是我们

生病了 杀死我们

是我们生存的东西是我们

可以治疗的东西

只要我们还是人,我们就会生病,所以我们一直在

寻找解释为什么我们生病的原因,

而且很长一段时间以来

众神是对的吗 众神在生我的气还是

众神在测试我是对的 或者

上帝最近在惩罚我

或评判我只要你

寻找解释,我们

就会发现越来越接近

科学的东西 这是关于我们为什么

会生病的假设,只要你有

关于我们为什么会生病的政策,我们

也会尝试治疗它,这是 Ava 的

Sena,他在一千多年前写了一本书,

叫做 Canon of 药物

和他为测试药物制定的规则

实际上非常相似 根据

我们今天的规则,疾病

和药物必须具有相同的

强度,药物需要是纯净

的,最后我们需要在人身上测试它

,所以如果你把

叙述或假设的这些主题

和人类 正确测试

即使我们没有

很好的技术,您也会得到一些漂亮的结果这是一个

名叫 Carlos Finley 的人,他的

假设在他那个时代是不合时宜的

,他们在 1800 年代后期他认为

黄热病不是通过脏衣服传播的,

他 认为它是

由蚊子传播的,他们

嘲笑他 20 年,他们称

这个人为蚊子,但他

在人身上做了一个实验,他有他的

假设,他在人身上进行了测试,所以他

让志愿者搬到古巴并

住在 帐篷并自愿

感染黄热病,所以

一些帐篷里的

一些人衣服脏了,一些

人在满是蚊子的帐篷里,这些

蚊子暴露在

黄热病中 w 发烧,它明确地

证明,不是这种叫做

fomites 的神奇粉尘和你的衣服引起了

黄热病,如果不是直到我们

在人们身上进行测试,我们实际上

是这些人注册

的,这就是它的样子

那时你喜欢在古巴患黄热病,你

一个人在炎热的帐篷里受苦,

你可能已经死了,但人们自愿

为此而努力,这不仅仅是理论上

科学设计实验的一个很酷的例子,

他们还做了这件

美丽的事情,他们 签署了这份

文件,它被称为

知情同意书

没有理解就不是协议,

它可以保护我们

免受小贩的伤害,这些小贩

会试图欺骗我们

进行我们没有参与的临床研究 立场或

我们不同意,所以你把

叙述

假设实验和人类和

知情同意的线索放在一起,你就得到了我们

所谓的临床研究,这就是我们

做绝大多数医疗工作的方式

,在 从北到

南到东到西 临床研究

构成了我们如何进行调查的基础,所以

如果我们要研究一种新药,

我们会在人体中进行测试,我们会抽血,

我们会进行实验,并

获得该研究的同意 确保我们

不会把人们作为其中的一部分,

但世界正在围绕临床研究发生变化,该

临床研究已经相当

成熟,如果

不是 50 到 100 年,那么现在我们

能够收集有关我们基因组的数据,但是 正如

我们之前看到的,我们的基因组不是

决定性的,我们能够收集

关于我们环境的信息,

更重要的是,我们能够收集

关于我们的选择的信息,因为

事实证明,我们认为我们的

健康是更重要的。 e 喜欢

我们身体的相互作用 我们的基因组 我们的选择和

我们的环境以及

我们所拥有的临床方法并不是很擅长

研究,因为它们是基于

人与人之间的互动的想法,

您与您的医生互动

你参加了这项研究,所以这是我的

祖父实际上从未见过他,但

他抱着我妈妈,他的基因在

我身上

是对

一直到他

和我的选择都会影响他的

健康这两张照片之间的技术

差别不能再大了但是

临床研究的方法

在这段时间里并没有发生根本性的改变

我们只是有更好的统计数据

我们获得知情同意的方式

大部分是在第二次世界大战之后形成

的,那张照片

是在 70 年前拍摄的,我们

获得知情同意的方式是

为了保护我们免受伤害 m 现在

创建了孤岛,因此我们

为前列腺癌或

阿尔茨海默氏症试验收集的数据进入了孤岛,

它只能用于前列腺癌

或阿尔茨海默氏症研究,它

不能联网它不能

集成它不能被使用

由没有证书的人,所以物理学家

在没有提交文件的情况下无法访问

计算机科学家无法

访问有关提交文件的文件

计算机科学家没有耐心他们

不提交文件这是一个意外

这些是工具 我们为

保护我们免受伤害而创造的,他们

现在正在保护我们免受创新,

这不是目标,这不是正确的观点

,如果你愿意

重新创造一种力量来把我们永远带走

,这是一个副作用 所以如果你仔细想想,令人

沮丧的是,Facebook

永远不会改变

像广告算法这样重要的东西

,样本量只有 3 期

临床试验,我们无法从过去的三期临床试验中获取

信息 将

它们放在一起形成具有统计学

意义的样本,这很糟糕,

所以 45% 的男性

患上了癌症 38% 的女性

患上了癌症 四分之一的男性死于

癌症 至少在美国,五分之一的女性死于癌症

如果你得了癌症,我们给你的四种药物中的三种都

失败了,这对我来说是个人的

我的姐姐是癌症幸存者 我的

岳母是癌症幸存者

癌症很糟糕,当你有它时,你

没有 医院里有很多隐私

绝大多数时候你都光着身子 不认识的人

进来看着你 戳你 戳

你 当我告诉癌症幸存者

我们为保护他们而创建的这个工具

是 a

防止他们的数据被使用,

特别是当只有 3% 到 4

% 的癌症患者

甚至报名参加临床研究时,他们的

反应不是感谢上帝

保护我的隐私,我们

拥有这些信息超出了我们可以做到的范围。 不使用

它,它是一个意外,所以它的成本、

血液和财富是巨大

的,每年有 2260 亿美元用于治疗

美国的癌症 在美国每天有 1500 人死亡

,而且情况越来越

糟,所以好消息是一些

事情发生了变化,最

重要的变化是

我们现在可以

用曾经是卫生系统统治的方式来衡量自己,

所以很多人都在

谈论它是数字废气,我喜欢

把它想象成尘埃 沿着

我的孩子后面跑,我们可以伸手

去抓灰尘,我们可以从中学到很多关于

健康的知识,所以如果我们的选择是

我们健康的一部分,我们吃什么是我们健康的一个

非常重要的方面,所以

你可以做一些非常简单的事情 和

基本的,给你的食物拍照,有

足够多的人这样做,我们可以了解

很多关于我们的食物如何影响我们的

健康的一个有趣的

事情,这是一个

名为餐馆的 iPhone 应用程序,我们认为我们的

披萨是 s 我比

其他人的披萨健康得多

,这似乎是一个微不足道的结果,但

这种研究

过去需要卫生系统数年

和数十万美元才能

完成,它是由一家初创公司在五个月内完成

的 几个人,

我对它没有任何经济利益,

但更重要的是,我们可以完成我们的

基因型,虽然我们的

基因型不是那么积极,但它们给了

我们线索,所以我可以告诉你我的

只是一个 st CS 和 G 的这个 是

对它的解释,正如你所见,我

有 32% 的

前列腺癌风险 22%

的牛皮癣风险和 14% 的

阿尔茨海默病风险,这意味着如果

你是遗传学家,你会吓坏了

哦,天哪,每次你携带 apoe4 等位基因时,你都会被告知

有什么问题,当我得到这些

结果时,我开始与医生交谈,

他们告诉我不要告诉任何人我的

反应是这会帮助任何

人 当我得了病,没有

人能告诉我是的,我生活在一个

网络世界中

我的医生,我很喜欢她给我

验血的技术,请把我的数据还给我

,这是我最近的验血,

你可以看到我有高胆固醇

我们进行测试的前一天晚上,我们

举行了一个

晚宴,喝了很多好酒

系统并把它拿出来,所以

我建议我们在这里做的事情是,我们

把手伸到我们身后,抓住

它们进入我们身体的灰尘,

当我们抓住我们的记录时,我们抓住基因型和进入医疗系统

我们用它来 共同构建一些东西

,这是一种评论,并且

有很多关于 Commons 的讨论,Commons

无处不在

通过标准化技术做到这

一点,这是

我们共同构建的东西,因为我们认为它很

重要,而且数据的公地

是非常独特的,因为

我们是从我们自己的数据中创造出来的,

尽管很多人喜欢隐私是

他们的方法 围绕数据的控制 围绕隐私的控制

至少我们中的一些人

真的很喜欢分享作为一种控制形式,

而数字共享的非凡之处在于,

如果您的样本

量大到足以产生巨大

而美丽的东西,那么您不需要很大的百分比 所以没有多少

程序员编写免费软件,但我们

有 Apache Web 服务器

阅读维基百科编辑的人并不多,但它的

工作原理是 只要有些人喜欢

分享作为他们的控制形式,我们就可以

建立一个共享空间,只要我们

能把信息拿出来,在生物学中,

数字甚至更好,所以范德比尔特

开展了一项研究,询问人们我们想

采集你的生物样本 你的血液

并在生物库中分享,只有 5

% 的人选择退出

你给他们机会和

选择,

除了明显的家庭方面,我对这个很着迷的原因

是我花了很多

时间在数学家周围,而

数学家被吸引到

有大量数据的地方,因为他们可以

用它来 从噪音中梳理出信号以及

他们可以梳理出的那些相关

性它们不一定是因果关系,

但在当今时代,数学就像

我们留在地板上的一组巨大的电动工具,

没有插上电源 在

我们使用手锯的同时,如果我们

有很多共同的基因型、很多

共同的结果、很多共同的

生活方式选择以及很多共同的

环境信息,我们就可以

开始梳理出

细微变化与人之间的相关性

他们做出的选择以及他们

因这些选择而创造的健康,并且

是开源基础设施,

通过我们的网络完成所有这些圣人是一个

非营利组织,它建立了一个巨大的数学

系统,它正在等待数据,但

没有任何数据 所以这就是我所做的我

实际上已经开始了我们认为是

世界上第一个完全数字化的完全自我

贡献,范围不受限制的全球

和参与伦理批准的

临床研究,您可以

在其中贡献数据,所以如果您

伸出自己的身后并且抓住灰尘,如果

如果您进入医疗

系统并以某种方式提取您的医疗

记录,

您实际上可以通过在线

信息获取您的身体并获取您的基因组 d 同意过程,因为

评论的捐赠必须是

自愿的,并且必须得到通知,并且

您可以实际上传您的信息

并指示

给将进行此类

大数据研究的数学家,目标是

获得十万 第一年和

前五年的一百万,

这样我们就有了一个具有统计意义的

队列,您可以使用它

从传统研究中获取较小的样本量

并将其映射,以便您可以使用它来

梳理出这些

变化之间的微妙相关性 让我们变得

独一无二,以及我们

作为一个社会向前发展所需的各种健康,我

花了很多时间在

其他共享上 所有

这些都非常

简单,所以如果你去

网站然后在这项研究中扮演角色,

你不会看到

复杂的东西,但它不是 简单化

这些东西是故意的,

因为你总是

可以为系统增加力量和控制,但是

如果你

把它们放在一开始就很难去除它们,

所以简单并不意味着

简单,弱并不意味着 意味着

弱点,这些是系统中的优势

,开放并不意味着

没有钱封闭系统

公司在开放网络上赚了很多钱

,然后开放网络存在的原因之一

是公司

对既得利益 系统的开放

性,所以所有这些都是

我们创建的临床研究的一部分,所以你实际上可以进来

,你必须是 14 岁

愿意签署一份说我不去的合同

基本上是个混蛋

,你可以开始

分析你必须解决验证码的数据

,如果你想

在它上面建立公司结构,那

也没关系,所以如果 你

不喜欢你不喜欢的那些术语

,我们试图带来健康数据的正是共享资源的设计原则,

关于这些系统的另一件事是,它只

需要少数真正

不合理的 人们一起工作来

创建它并不需要那么多人

来制作 Wikipedia Wikipedia 或保留

它 wikipedia 我们不

应该在健康方面不合理 所以我讨厌

这个词耐心 对我不喜欢

在系统时保持耐心 被打破了

,医疗保健也被打破了

耐心,所以我希望

你在回家获取数据时真正尝试

一下 也许你会分享

它也许你不会如果你

没有 你家里有一个生病的人,也许

你不会不讲道理,但

如果你生病了,那么也许你

会,我们将能够

在接下来的几个月里做一个实验

,让我们确切地知道如何 许多

不讲道理的人都在那里 这

是雅典娜乳房健康网络 这

是一项对加利福尼亚州 150,000 名女性的研究

,他们将以可计算的形式将所有数据返回

给研究的参与者

,只需单击即可

将其加载到 我整理的研究,

所以我们会确切地知道有多少

人愿意不讲道理,所以

我要结束的是

自从我大约一年前辞掉工作以来,我学到的最美丽

的事情就是 真的

不需要我们很多人就能取得

惊人的成绩,你只需要

愿意不讲道理,

我们所面临的风险并不是

那些得了黄热病的 14 名男子正确

地在公共场合裸露的风险 所以你

更了解我和我的健康 比我

对你的了解它现在是不对称的,

赤身裸体和独自一人可能会很可怕,但是

自愿裸体在一个团体中可能

会非常漂亮,所以它不需要

我们所有人它只

需要我们所有人谢谢你