3 kinds of bias that shape your worldview J. Marshall Shepherd

I’m a meteorologist by degree,

I have a bachelor’s,
master’s and PhD in physical meteorology,

so I’m a meteorologist, card carrying.

And so with that comes
four questions, always.

This is one prediction
I will always get right.

(Laughter)

And those questions are,

“Marshall, what channel are you on?”

(Laughter)

“Dr. Shepherd, what’s the weather
going to be tomorrow?”

(Laughter)

And oh, I love this one:

“My daughter is getting married
next September, it’s an outdoor wedding.

Is it going to rain?”

(Laughter)

Not kidding, I get those,
and I don’t know the answer to that,

the science isn’t there.

But the one I get a lot these days is,

“Dr. Shepherd, do you believe
in climate change?”

“Do you believe in global warming?”

Now, I have to gather myself
every time I get that question.

Because it’s an ill-posed question –

science isn’t a belief system.

My son, he’s 10 –
he believes in the tooth fairy.

And he needs to get over that,
because I’m losing dollars, fast.

(Laughter)

But he believes in the tooth fairy.

But consider this.

Bank of America building,
there, in Atlanta.

You never hear anyone say,

“Do you believe, if you go
to the top of that building

and throw a ball off, it’s going to fall?”

You never hear that,
because gravity is a thing.

So why don’t we hear the question,

“Do you believe in gravity?”

But of course, we hear the question,

“Do you believe in global warming?”

Well, consider these facts.

The American Association
for the Advancement of Science, AAAS,

one of the leading
organizations in science,

queried scientists and the public
on different science topics.

Here are some of them:

genetically modified food,
animal research, human evolution.

And look at what the scientists
say about those,

the people that actually
study those topics, in red,

versus the gray, what the public thinks.

How did we get there?

How did we get there?

That scientists and the public
are so far apart on these science issues.

Well, I’ll come a little bit
closer to home for me,

climate change.

Eighty-seven percent of scientists

believe that humans are contributing
to climate change.

But only 50 percent of the public?

How did we get there?

So it begs the question,

what shapes perceptions about science?

It’s an interesting question

and one that I’ve been
thinking about quite a bit.

I think that one thing that shapes
perceptions in the public, about science,

is belief systems and biases.

Belief systems and biases.

Go with me for a moment.

Because I want to talk
about three elements of that:

confirmation bias, Dunning-Kruger effect

and cognitive dissonance.

Now, these sound like big, fancy,
academic terms, and they are.

But when I describe them,
you’re going to be like, “Oh!

I recognize that; I even know
somebody that does that.”

Confirmation bias.

Finding evidence that supports
what we already believe.

Now, we’re probably all
a little bit guilty of that at times.

Take a look at this.

I’m on Twitter.

And often, when it snows,

I’ll get this tweet back to me.

(Laughter)

“Hey, Dr. Shepherd, I have 20 inches
of global warming in my yard,

what are you guys
talking about, climate change?”

I get that tweet a lot, actually.

It’s a cute tweet,
it makes me chuckle as well.

But it’s oh, so fundamentally
scientifically flawed.

Because it illustrates

that the person tweeting
doesn’t understand

the difference
between weather and climate.

I often say, weather is your mood

and climate is your personality.

Think about that.

Weather is your mood,
climate is your personality.

Your mood today doesn’t necessarily
tell me anything about your personality,

nor does a cold day tell me anything
about climate change,

or a hot day, for that matter.

Dunning-Kruger.

Two scholars from Cornell
came up with the Dunning-Kruger effect.

If you go look up
the peer-reviewed paper for this,

you will see all kinds
of fancy terminology:

it’s an illusory superiority complex,
thinking we know things.

In other words, people think
they know more than they do.

Or they underestimate
what they don’t know.

And then, there’s cognitive dissonance.

Cognitive dissonance is interesting.

We just recently had Groundhog Day, right?

Now, there’s no better definition
of cognitive dissonance

than intelligent people asking me
if a rodent’s forecast is accurate.

(Laughter)

But I get that, all of the time.

(Laughter)

But I also hear
about the Farmer’s Almanac.

We grew up on the Farmer’s Almanac,
people are familiar with it.

The problem is, it’s only
about 37 percent accurate,

according to studies
at Penn State University.

But we’re in an era of science

where we actually
can forecast the weather.

And believe it or not, and I know
some of you are like, “Yeah, right,”

we’re about 90 percent accurate, or more,
with weather forecast.

You just tend to remember
the occasional miss, you do.

(Laughter)

So confirmation bias,
Dunning-Kruger and cognitive dissonance.

I think those shape biases and perceptions
that people have about science.

But then, there’s literacy
and misinformation

that keep us boxed in, as well.

During the hurricane season of 2017,

media outlets had to actually
assign reporters

to dismiss fake information
about the weather forecast.

That’s the era that we’re in.

I deal with this all the time
in social media.

Someone will tweet a forecast –

that’s a forecast for Hurricane Irma,
but here’s the problem:

it didn’t come from the Hurricane Center.

But people were tweeting
and sharing this; it went viral.

It didn’t come from
the National Hurricane Center at all.

So I spent 12 years of my career at NASA

before coming
to the University of Georgia,

and I chair their Earth Science
Advisory Committee,

I was just up there last week in DC.

And I saw some really interesting things.

Here’s a NASA model
and science data from satellite

showing the 2017 hurricane season.

You see Hurricane Harvey there?

Look at all the dust coming off of Africa.

Look at the wildfires up in northwest US
and in western Canada.

There comes Hurricane Irma.

This is fascinating to me.

But admittedly, I’m a weather geek.

But more importantly, it illustrates
that we have the technology

to not only observe the weather
and climate system,

but predict it.

There’s scientific understanding,

so there’s no need for some
of those perceptions and biases

that we’ve been talking about.

We have knowledge.

But think about this …

This is Houston, Texas,
after Hurricane Harvey.

Now, I write a contribution
for “Forbes” magazine periodically,

and I wrote an article a week before
Hurricane Harvey made landfall, saying,

“There’s probably going to be
40 to 50 inches of rainfall.”

I wrote that a week before it happened.

But yet, when you talk
to people in Houston,

people are saying, “We had no idea
it was going to be this bad.”

I’m just…

(Sigh)

(Laughter)

A week before.

But –

I know, it’s amusing, but the reality is,

we all struggle with perceiving something
outside of our experience level.

People in Houston
get rain all of the time,

they flood all of the time.

But they’ve never experienced that.

Houston gets about 34 inches of rainfall
for the entire year.

They got 50 inches in three days.

That’s an anomaly event,
that’s outside of the normal.

So belief systems and biases,
literacy and misinformation.

How do we step out of the boxes
that are cornering our perceptions?

Well we don’t even have to go to Houston,
we can come very close to home.

(Laughter)

Remember “Snowpocalypse?”

(Laughter)

Snowmageddon?

Snowzilla?

Whatever you want to call it.

All two inches of it.

(Laughter)

Two inches of snow
shut the city of Atlanta down.

(Laughter)

But the reality is,
we were in a winter storm watch,

we went to a winter weather advisory,

and a lot of people perceived that
as being a downgrade,

“Oh, it’s not going to be as bad.”

When in fact, the perception
was that it was not going to be as bad,

but it was actually an upgrade.

Things were getting worse
as the models were coming in.

So that’s an example of how we get
boxed in by our perceptions.

So, the question becomes,

how do we expand our radius?

The area of a circle is “pi r squared”.

We increase the radius,
we increase the area.

How do we expand our radius
of understanding about science?

Here are my thoughts.

You take inventory of your own biases.

And I’m challenging you all to do that.

Take an inventory of your own biases.

Where do they come from?

Your upbringing, your political
perspective, your faith –

what shapes your own biases?

Then, evaluate your sources –

where do you get
your information on science?

What do you read, what do you listen to,

to consume your information on science?

And then, it’s important to speak out.

Talk about how you evaluated your biases
and evaluated your sources.

I want you to listen to this
little 40-second clip

from one of the top
TV meteorologists in the US, Greg Fishel,

in the Raleigh, Durham area.

He’s revered in that region.

But he was a climate skeptic.

But listen to what he says
about speaking out.

Greg Fishel:
The mistake I was making

and didn’t realize until very recently,

was that I was only looking
for information

to support what I already thought,

and was not interested
in listening to anything contrary.

And so I woke up one morning,

and there was this question in my mind,

“Greg, are you engaging
in confirmation bias?

Are you only looking for information
to support what you already think?”

And if I was honest with myself,
and I tried to be,

I admitted that was going on.

And so the more I talked to scientists

and read peer-reviewed literature

and tried to conduct myself the way
I’d been taught to conduct myself

at Penn State when I was a student,

it became very difficult for me
to make the argument

that we weren’t at least
having some effect.

Maybe there was still a doubt
as to how much,

but to say “nothing” was not
a responsible thing for me to do

as a scientist or a person.

JMS: Greg Fishel just talked
about expanding his radius

of understanding of science.

And when we expand our radius,

it’s not about making a better future,

but it’s about preserving
life as we know it.

So as we think about expanding
our own radius in understanding science,

it’s critical for Athens, Georgia,
for Atlanta, Georgia,

for the state of Georgia,
and for the world.

So expand your radius.

Thank you.

(Applause)

我是气象学家,我有物理气象学

学士,
硕士和博士学位,

所以我是气象学家,持卡人。

因此,总是有
四个问题。

这是
我将永远正确的预测。

(笑声

) 这些问题是,

“马歇尔,你在哪个频道?”

(笑声)

“Shepherd 博士,
明天天气如何?”

(笑声

) 哦,我喜欢这个:

“我女儿明年九月就要结婚了
,这是一场户外婚礼。

会下雨吗?”

(笑声)

不是开玩笑,我明白了,但
我不知道答案

,科学不存在。

但这些天我得到的很多是,

“谢泼德博士,你
相信气候变化吗?”

“你相信全球变暖吗?”

现在,
每次我收到这个问题时,我都必须振作起来。

因为这是一个不恰当的问题——

科学不是一个信仰体系。

我的儿子,他 10 岁——
他相信牙仙。

他需要克服这一点,
因为我正在快速损失美元。

(笑声)

但他相信牙仙。

但是考虑一下。

美国银行大楼,
那里,亚特兰大。

你永远不会听到有人说,

“你相信,如果你
走到那栋楼的顶部

,把一个球扔掉,它会掉下来吗?”

你从来没有听说过,
因为重力是一回事。

那么为什么我们没有听到这个问题,

“你相信重力吗?”

但当然,我们会听到这样一个问题:

“你相信全球变暖吗?”

好吧,考虑这些事实。

美国
科学促进会(AAAS)

是科学领域的领先
组织之一,

就不同的科学主题向科学家和公众提出了质疑。

以下是其中的一些:

转基因食品、
动物研究、人类进化。

看看科学家们是怎么
说的,

那些真正
研究这些话题的人,红色的,

灰色的,公众的想法。

我们是怎么到那里的?

我们是怎么到那里的?

科学家和公众
在这些科学问题上相距甚远。

好吧,气候变化,我会
离家更近一点

87% 的科学家

认为人类正在
促成气候变化。

但只有50%的公众?

我们是怎么到那里的?

所以它引出了一个问题,

是什么塑造了对科学的看法?

这是一个有趣的问题

,也是我一直在
思考的问题。

我认为影响
公众对科学的看法的一件事

是信仰体系和偏见。

信念系统和偏见。

陪我一会儿。

因为我想谈谈其中的
三个要素:

确认偏差、邓宁-克鲁格效应

和认知失调。

现在,这些听起来像是大而奇特的
学术术语,而且确实如此。

但是当我描述它们时,
你会说,“哦!

我承认这一点;我什至认识
这样做的人。”

确认偏差。

寻找支持
我们已经相信的证据。

现在,我们有时可能都对此感到
有点内疚。

看看这个。

我在推特上。

通常,下雪时,

我会把这条推文回复给我。

(笑声)

“嘿,Shepherd 博士,
我的院子里有 20 英寸的全球变暖,

你们
在说什么,气候变化?”

事实上,我经常收到这条推文。

这是一条可爱的推文,
它也让我发笑。

但它是哦,从根本上说是有
科学缺陷的。

因为它

说明发推文的人
不了解

天气和气候之间的区别。

我常说,天气是你的心情

,气候是你的个性。

考虑一下。

天气是你的心情,
气候是你的个性。

你今天的心情不一定能
告诉我你的性格,

寒冷的日子也不能告诉我任何
关于气候变化

或炎热的日子,就此而言。

邓宁-克鲁格。

康奈尔大学的两位学者
提出了邓宁-克鲁格效应。

如果您
为此查找同行评审论文,

您会看到
各种花哨的术语:

这是一种虚幻的优越感,
认为我们知道一些事情。

换句话说,人们认为
他们知道的比他们知道的多。

或者他们低估
了他们不知道的东西。

然后是认知失调。

认知失调很有趣。

我们最近刚过土拨鼠日,对吧?

现在,没有

比聪明人问
我啮齿动物的预测是否准确更好的认知失调定义了。

(笑声)

但我一直都明白这一点。

(笑声)

但我也
听说过农夫年鉴。

我们是在农夫年鉴上长大的,
人们对它很熟悉。

问题是,根据宾夕法尼亚州立大学的研究,它的
准确率只有 37%

但我们正处于一个科学时代

,我们实际上
可以预测天气。

不管你信不信,我知道
你们中的一些人会说,“是的,对,”

我们的天气预报准确率大约是 90%,甚至更多

你只是倾向于
记住偶尔的错过,你确实如此。

(笑声)

所以确认偏见、
邓宁-克鲁格和认知失调。

我认为人们对科学的那些形状偏见和看法

但是,文化
和错误信息

也让我们陷入困境。

在 2017 年的飓风季节,

媒体不得不实际
指派

记者驳斥
有关天气预报的虚假信息。

这就是我们所处的时代。

我一直
在社交媒体上处理这个问题。

有人会在推特上发布预测——

这是对飓风艾尔玛的预测,
但问题是:

它不是来自飓风中心。

但是人们在推特
上分享这个; 它像病毒一样传播开来。

它根本不是
来自国家飓风中心。

因此,在来到佐治亚大学之前,我在 NASA 度过了 12 年的职业生涯

并担任他们的地球科学
咨询委员会主席,

我上周刚刚在华盛顿特区。

我看到了一些非常有趣的事情。

这是来自卫星的 NASA 模型
和科学数据,

显示了 2017 年的飓风季节。

你在那里看到飓风哈维吗?

看看所有从非洲飞来的灰尘。

看看美国西北部
和加拿大西部的野火。

飓风艾尔玛来了。

这对我来说很有吸引力。

但不可否认,我是个天气怪胎。

但更重要的是,它
说明我们拥有的

技术不仅可以观察天气
和气候系统,

而且可以预测它。

有科学的理解,

所以不需要我们一直在谈论
的那些看法和偏见

我们有知识。

但是想一想……

这是
飓风哈维之后的德克萨斯州休斯顿。

现在,我
定期为《福布斯》杂志投稿,

并在飓风哈维登陆前一周写了一篇文章
,说:

“可能会有
40 到 50 英寸的降雨量。”

我是在事情发生前一周写的。

但是,当你与
休斯顿的人交谈时,

人们会说,“我们不知道
情况会如此糟糕。”

我只是……

(叹气)

(笑声

) 一周前。

但是——

我知道,这很有趣,但现实是,

我们都在努力感知
超出我们经验水平的东西。

休斯顿的人们总是
下雨,

他们总是洪水泛滥。

但他们从来没有经历过。

休斯顿全年降雨量约为 34 英寸

他们在三天内长了 50 英寸。

这是一个异常事件,
超出了正常范围。

所以信仰系统和偏见,
识字和错误信息。

我们如何走出
束缚我们观念的框框?

好吧,我们甚至不必去休斯顿,
我们可以离家很近。

(笑声)

还记得“雪灾”吗?

(笑声)

雪灾?

斯诺斯拉?

不管你想怎么称呼它。

全部两英寸。

(笑声)

两英寸厚的雪
使亚特兰大市关闭。

(笑声)

但现实是,
我们在冬季风暴观察中,

我们去了冬季天气咨询

,很多人认为
这是降级,

“哦,不会那么糟糕。”

事实上,人们的看法
是它不会那么糟糕,

但它实际上是一个升级。

随着模型的出现,情况

变得更糟。所以这就是我们如何
被我们的看法所束缚的一个例子。

那么,问题就变成了,

我们如何扩大我们的半径?

圆的面积是“pi r squared”。

我们增加半径,
我们增加面积。

我们如何扩大我们
对科学的理解范围?

这是我的想法。

你盘点自己的偏见。

我正在挑战你们所有人都这样做。

盘点自己的偏见。

他们来自哪里?

你的成长经历、你的政治
观点、你的信仰——

是什么塑造了你自己的偏见?

然后,评估您的来源——

您从哪里
获得有关科学的信息?

你读什么、听什么

来消费你的科学信息?

然后,说出来很重要。

谈谈你如何评估你的偏见
和评估你的来源。

我想让你听听这个

来自达勒姆地区罗利
的美国顶级电视气象学家之一格雷格·菲舍尔(Greg Fishel)

的 40 秒小片段。

他在那个地区很受尊敬。

但他是一个气候怀疑论者。

但是听听他说
的说出来。

Greg Fishel
:我犯了一个

直到最近才意识到的错误,

那就是我只是在
寻找信息

来支持我已经想到的东西,

并且
对倾听任何相反的东西不感兴趣。

所以一天早上我醒来,脑海里浮现出一个

问题,

“格雷格,你是不是
在参与确认偏见?

你只是在寻找信息
来支持你已经想到的吗?”

如果我对自己诚实,
并且我努力做到这一点,

我承认这种情况正在发生。

因此,我与科学家交谈的次数越多

,阅读同行评议的文献越多,

并试图按照

我还是学生时在宾夕法尼亚州立大学被教导的方式行事,

我就
很难做出这样的论点

:我们 至少
没有起到什么作用。

或许还有一个
疑问,

但说“什么都没有”
对我

作为一个科学家或一个人来说不是一件负责任的事情。

JMS:Greg Fishel 刚刚
谈到扩大他

对科学的理解范围。

当我们扩大我们的半径时,

这不是为了创造更美好的未来,

而是为了保护
我们所知道的生命。

因此,当我们考虑扩大
自己理解科学的范围时,

这对佐治亚州的雅典、佐治亚州
的亚特兰大、佐治亚州

乃至整个世界都至关重要。

所以扩大你的半径。

谢谢你。

(掌声)