The secret to scientific discoveries Making mistakes Phil Plait

Now, people have a lot
of misconceptions about science –

about how it works and what it is.

A big one is that science
is just a big old pile of facts.

But that’s not true –
that’s not even the goal of science.

Science is a process.

It’s a way of thinking.

Gathering facts is just a piece of it,
but it’s not the goal.

The ultimate goal of science
is to understand objective reality

the best way we know how,

and that’s based on evidence.

The problem here
is that people are flawed.

We can be fooled –

we’re really good at fooling ourselves.

And so baked into this process
is a way of minimizing our own bias.

So sort of boiled down
more than is probably useful,

here’s how this works.

If you want to do some science,

what you want to do
is you want to observe something …

say, “The sky is blue. Hey, I wonder why?”

You question it.

The next thing you do is you come up
with an idea that may explain it:

a hypothesis.

Well, you know what? Oceans are blue.

Maybe the sky is reflecting
the colors from the ocean.

Great, but now you have to test it

so you predict what that might mean.

Your prediction would be,

“Well, if the sky is reflecting
the ocean color,

it will be bluer on the coasts

than it will be
in the middle of the country.”

OK, that’s fair enough,

but you’ve got to test that prediction

so you get on a plane,
you leave Denver on a nice gray day,

you fly to LA, you look up
and the sky is gloriously blue.

Hooray, your thesis is proven.

But is it really? No.

You’ve made one observation.

You need to think about your hypothesis,
think about how to test it

and do more than just one.

Maybe you could go
to a different part of the country

or a different part of the year

and see what the weather’s like then.

Another good idea
is to talk to other people.

They have different ideas,
different perspectives,

and they can help you.

This is what we call peer review.

And in fact that will probably also
save you a lot of money and a lot of time,

flying coast-to-coast
just to check the weather.

Now, what happens if your hypothesis
does a decent job but not a perfect job?

Well, that’s OK,

because what you can do
is you can modify it a little bit

and then go through
this whole process again –

make predictions, test them –

and as you do that over and over again,
you will hone this idea.

And if it gets good enough,

it may be accepted
by the scientific community,

at least provisionally,

as a good explanation of what’s going on,

at least until a better idea

or some contradictory
evidence comes along.

Now, part of this process
is admitting when you’re wrong.

And that can be really, really hard.

Science has its strengths and weaknesses

and they depend on this.

One of the strengths of science
is that it’s done by people,

and it’s proven itself
to do a really good job.

We understand the universe
pretty well because of science.

One of science’s weaknesses
is that it’s done by people,

and we bring a lot of baggage
along with us when we investigate things.

We are egotistical,

we are stubborn, we’re superstitious,

we’re tribal, we’re humans –

these are all human traits
and scientists are humans.

And so we have to be aware of that
when we’re studying science

and when we’re trying
to develop our theses.

But part of this whole thing,

part of this scientific process,

part of the scientific method,

is admitting when you’re wrong.

I know, I’ve been there.

Many years ago I was working
on Hubble Space Telescope,

and a scientist I worked with
came to me with some data,

and he said, “I think
there may be a picture

of a planet orbiting
another star in this data.”

We had not had any pictures taken
of planets orbiting other stars yet,

so if this were true,

then this would be the first one

and we would be the ones who found it.

That’s a big deal.

I was very excited,

so I just dug right into this data.

I spent a long time trying to figure out
if this thing were a planet or not.

The problem is planets are faint
and stars are bright,

so trying to get
the signal out of this data

was like trying to hear a whisper
in a heavy metal concert –

it was really hard.

I tried everything I could,

but after a month of working on this,

I came to a realization …
couldn’t do it.

I had to give up.

And I had to tell this other scientist,

“The data’s too messy.

We can’t say whether
this is a planet or not.”

And that was hard.

Then later on we got
follow-up observations with Hubble,

and it showed that it wasn’t a planet.

It was a background star
or galaxy, something like that.

Well, not to get too technical,
but that sucked.

(Laughter)

I was really unhappy about this.

But that’s part of it.

You have to say, “Look, you know,
we can’t do this with the data we have.”

And then I had to face up to the fact

that even the follow-up data
showed we were wrong.

Emotionally I was pretty unhappy.

But if a scientist
is doing their job correctly,

being wrong is not so bad

because that means
there’s still more stuff out there –

more things to figure out.

Scientists don’t love being wrong
but we love puzzles,

and the universe is
the biggest puzzle of them all.

Now having said that,

if you have a piece and it doesn’t fit
no matter how you move it,

jamming it in harder isn’t going to help.

There’s going to be a time
when you have to let go of your idea

if you want to understand
the bigger picture.

The price of doing science
is admitting when you’re wrong,

but the payoff is the best there is:

knowledge and understanding.

And I can give you a thousand
examples of this in science,

but there’s one I really like.

It has to do with astronomy,

and it was a question
that had been plaguing astronomers

literally for centuries.

When you look at the Sun,
it seems special.

It is the brightest object in the sky,

but having studied astronomy, physics,
chemistry, thermodynamics for centuries,

we learned something
very important about it.

It’s not that special.

It’s a star just like
millions of other stars.

But that raises an interesting question.

If the Sun is a star

and the Sun has planets,

do these other stars have planets?

Well, like I said with my own failure
in the “planet” I was looking for,

finding them is super hard,

but scientists tend to be
pretty clever people

and they used a lot
of different techniques

and started observing stars.

And over the decades

they started finding some things
that were pretty interesting,

right on the thin, hairy edge
of what they were able to detect.

But time and again,
it was shown to be wrong.

That all changed in 1991.

A couple of astronomers –

Alexander Lyne –
Andrew Lyne, pardon me –

and Matthew Bailes,

had a huge announcement.

They had found a planet
orbiting another star.

And not just any star, but a pulsar,

and this is the remnant of a star
that has previously exploded.

It’s blasting out radiation.

This is the last place in the universe
you would expect to find a planet,

but they had very methodically
looked at this pulsar,

and they detected the gravitational tug
of this planet as it orbited the pulsar.

It looked really good.

The first planet orbiting
another star had been found …

except not so much.

(Laughter)

After they made the announcement,

a bunch of other astronomers
commented on it,

and so they went back
and looked at their data

and realized they had made
a very embarrassing mistake.

They had not accounted
for some very subtle characteristics

of the Earth’s motion around the Sun,

which affected how they measured
this planet going around the pulsar.

And it turns out that when they did
account for it correctly,

poof – their planet disappeared.

It wasn’t real.

So Andrew Lyne had a very formidable task.

He had to admit this.

So in 1992 at the American
Astronomical Society meeting,

which is one of the largest gatherings
of astronomers on the planet,

he stood up and announced
that he had made a mistake

and that the planet did not exist.

And what happened next –

oh, I love this –

what happened next was wonderful.

He got an ovation.

The astronomers weren’t angry at him;

they didn’t want to chastise him.

They praised him
for his honesty and his integrity.

I love that!

Scientists are people.

(Laughter)

And it gets better!

(Laughter)

Lyne steps off the podium.

The next guy to come up
is a man named Aleksander Wolszczan

He takes the microphone and says,

“Yeah, so Lyne’s team
didn’t find a pulsar planet,

but my team found not just one

but two planets
orbiting a different pulsar.

We knew about the problem that Lyne had,

we checked for it,
and yeah, ours are real.”

And it turns out he was right.

And in fact, a few months later,

they found a third planet
orbiting this pulsar

and it was the first
exoplanet system ever found –

what we call alien worlds – exoplanets.

That to me is just wonderful.

At that point the floodgates were opened.

In 1995 a planet was found
around a star more like the Sun,

and then we found another and another.

This is an image of an actual planet
orbiting an actual star.

We kept getting better at it.

We started finding them by the bucketload.

We started finding thousands of them.

We built observatories
specifically designed to look for them.

And now we know of thousands of them.

We even know of planetary systems.

That is actual data, animated, showing
four planets orbiting another star.

This is incredible. Think about that.

For all of human history,

you could count all the known planets
in the universe on two hands –

nine – eight?

Nine? Eight – eight.

(Laughter)

Eh.

(Laughter)

But now we know they’re everywhere.

Every star –

for every star you see in the sky
there could be three, five, ten planets.

The sky is filled with them.

We think that planets
may outnumber stars in the galaxy.

This is a profound statement,

and it was made because of science.

And it wasn’t made just because of science
and the observatories and the data;

it was made because of the scientists
who built the observatories,

who took the data,

who made the mistakes and admitted them

and then let other scientists
build on their mistakes

so that they could do what they do

and figure out where
our place is in the universe.

That is how you find the truth.

Science is at its best
when it dares to be human.

Thank you.

(Applause and cheers)

现在,人们
对科学有很多误解——

关于它是如何运作的以及它是什么。

一个重要的问题是,科学
只是一大堆古老的事实。

但这不是真的——
这甚至不是科学的目标。

科学是一个过程。

这是一种思维方式。

收集事实只是其中的一部分,
但它不是目标。

科学的最终目标

是以我们所知道的最好的方式来理解客观现实,

而这是基于证据的。

这里的问题
是人们有缺陷。

我们可以被愚弄——

我们真的很擅长愚弄自己。

因此,融入这个过程
是一种最大限度地减少我们自己的偏见的方法。

所以
归结为可能有用的东西,

这就是它的工作原理。

如果你想做一些科学,

你想做的
是你想观察一些东西……

说,“天空是蓝色的。嘿,我想知道为什么?”

你质疑它。

接下来你要做的就是
想出一个可以解释它的想法:

一个假设。

嗯,你知道吗? 海洋是蓝色的。

也许天空正在反射
海洋的颜色。

太好了,但是现在您必须对其进行测试,

以便预测这可能意味着什么。

你的预测会是,

“好吧,如果天空反射
出海洋的颜色,

那么海岸上的天空会

比国家中部的更蓝。”

好吧,这很公平,

但你必须测试这个预测,

所以你上飞机,
在一个美好的灰色日子离开丹佛,

你飞到洛杉矶,你抬头一看
,天空是灿烂的蓝色。

万岁,你的论文被证明了。

但真的是这样吗? 不,

你已经做了一个观察。

你需要考虑你的假设,
考虑如何测试它,

并且不仅仅做一个。

也许你可以
去这个国家

的不同地方或一年中的不同地方

,看看当时的天气如何。

另一个好主意
是与其他人交谈。

他们有不同的想法,
不同的观点

,他们可以帮助你。

这就是我们所说的同行评审。

事实上,这可能还会为
您节省大量金钱和大量时间,只需

要从东海岸飞到西海岸
查看天气。

现在,如果你的假设
做得不错但不是完美的工作,会发生什么?

好吧,没关系,

因为你可以做的
就是稍微修改它

,然后
再次经历整个过程——

做出预测,测试它们

——当你一遍又一遍地这样做时,
你会磨练这个想法 .

如果它变得足够好,

它可能会
被科学界接受,

至少是暂时的,

作为对正在发生的事情的一个很好的解释,

至少在出现更好的想法

或一些矛盾的
证据之前。

现在,这个过程的一部分
是承认你错了。

这可能真的,真的很难。

科学有其优点和缺点

,它们取决于此。

科学的优势之一
是它是由人完成的,

而且它已经证明
自己做得非常好。

由于科学,我们非常了解宇宙。

科学的弱点之一
是它是由人完成的,

当我们调查事物时,我们会带来很多包袱。

我们是自负的,

我们是固执的,我们是迷信的,

我们是部落的,我们是人类——

这些都是人类的特征
,科学家也是人类。

因此,
当我们学习科学


试图发展我们的论文时,我们必须意识到这一点。

但是整个事情的

一部分,这个科学过程的

一部分,科学方法的一部分,

是在你错了的时候承认。

我知道,我去过那里。

很多年前,我在
研究哈勃太空望远镜,

和我一起工作的一位科学家
带着一些数据来找我

,他说,“我认为这些数据
中可能

有一颗行星围绕
另一颗恒星运行的图片。”

我们还没有拍摄任何
行星围绕其他恒星运行的照片,

所以如果这是真的,

那么这将是第一个

,我们将是发现它的人。

这是一件大事。

我非常兴奋,

所以我直接挖掘了这些数据。

我花了很长时间试图
弄清楚这东西是否是行星。

问题是行星很暗
,恒星很亮,

所以试图
从这些数据中获取信号

就像试图
在重金属音乐会中听到耳语——

这真的很难。

我尽我所能,

但经过一个月的努力,

我意识到……
做不到。

我不得不放弃。

我不得不告诉另一位科学家,

“数据太乱了。

我们不能说
这是否是一颗行星。”

这很难。

后来我们
用哈勃望远镜进行了后续观测

,结果表明它不是行星。

它是一个背景恒星
或星系,类似的东西。

好吧,不要太技术化,
但这很糟糕。

(笑声)

我对此真的很不高兴。

但这是其中的一部分。

你必须说,“看,你知道,
我们不能用我们拥有的数据来做这件事。”

然后我不得不面对这样一个事实

,即使是后续数据也
表明我们错了。

在情感上,我很不高兴。

但是,如果一个科学家
正确地完成了他们的工作,

那么犯错并不是那么糟糕,

因为这意味着
还有更多的东西——

更多的东西需要弄清楚。

科学家不喜欢犯错,
但我们喜欢谜题,

而宇宙
是其中最大的谜题。

话虽如此,

如果您有一块并且
无论您如何移动它都不合适,

那么用力将其卡住也无济于事。

如果你想了解大局,总有一天
你必须放弃你的想法

做科学的代价
是承认错误,

但回报是最好的:

知识和理解。

我可以给你一千
个这样的科学例子,

但有一个我真的很喜欢。

它与天文学有关

,几个世纪以来一直是困扰

天文学家的问题。

当你看着太阳时,
它似乎很特别。

它是天空中最亮的物体,

但在研究天文学、物理学、
化学、热力学几个世纪之后,

我们从中学到了一些
非常重要的东西。

这没什么特别的。

它是一颗星星,就像
数以百万计的其他星星一样。

但这提出了一个有趣的问题。

如果太阳是恒星

并且太阳有行星,

那么这些其他恒星是否也有行星?

好吧,就像我
在我正在寻找的“行星”中失败时所说的那样,

找到它们非常困难,

但科学家往往是
非常聪明的人

,他们使用了
很多不同的技术

并开始观察恒星。

几十年来,

他们开始
发现一些非常有趣的东西,

就在他们能够检测到的薄而多毛的
边缘。

但一次又一次,
它被证明是错误的。

这一切都在 1991 年发生了变化。

两位天文学家——

亚历山大·莱恩——
安德鲁·莱恩,请原谅我——

还有马修·贝勒斯,

宣布了一个重大消息。

他们发现了一颗
围绕另一颗恒星运行的行星。

不仅仅是一颗恒星,而是一颗脉冲星

,这是一颗之前爆炸过的恒星的残骸

它正在释放辐射。

这是宇宙中
你期望找到行星的最后一个地方,

但他们非常有条不紊地
观察了这颗脉冲星,

并在这颗行星绕脉冲星运行时探测到了它的引力拖拽

它看起来真的很好。

已经发现了第一颗围绕
另一颗恒星运行的行星……

除了没有那么多。

(笑声

) 宣布后,

一帮天文学家
评论了,

于是他们回过头
来查看他们的数据

,意识到他们犯
了一个非常尴尬的错误。

他们没有考虑

地球绕太阳运动的一些非常微妙的特征,

这些特征影响了他们测量
这颗行星绕脉冲星运行的方式。

事实证明,当他们
正确解释时,

噗——他们的星球消失了。

这不是真的。

所以安德鲁·莱恩有一个非常艰巨的任务。

他不得不承认这一点。

所以在 1992 年的美国
天文学会会议上,

这是
地球上最大的天文学家聚会之一,

他站起来
宣布他犯了一个错误

,地球不存在。

接下来发生的事情——

哦,我喜欢这个——

接下来发生的事情太棒了。

他得到了热烈的掌声。

天文学家并没有生他的气。

他们不想责备他。

他们称赞
他的诚实和正直。

我喜欢那个!

科学家是人。

(笑声

) 它变得更好了!

(笑声)

莱恩走下讲台。

下一个出现的
是一个名叫 Aleksander Wolszczan 的人,

他拿起麦克风说:

“是的,所以 Lyne 的团队
没有找到一颗脉冲星行星,

但我的团队发现的不仅仅是一颗

而是两颗行星
绕着不同的脉冲星运行。

我们知道 关于 Lyne 的问题,

我们进行了检查
,是的,我们的问题是真实的。”

事实证明他是对的。

事实上,几个月后,

他们发现了第三颗
围绕这颗脉冲星运行的行星

,这是
有史以来第一个发现的系外行星系统——

我们称之为外星世界——系外行星。

这对我来说太棒了。

就在这时,闸门打开了。

1995 年,在一颗
更像太阳的恒星周围发现了一颗行星,

然后我们又发现了一颗又一颗。

这是一张真实的行星
绕着一颗真实的恒星运行的图像。

我们一直做得更好。

我们开始通过bucketload找到它们。

我们开始找到成千上万的人。

我们建造了
专门用于寻找它们的天文台。

现在我们知道它们有数千个。

我们甚至知道行星系统。

那是真实的数据,动画,显示
四颗行星围绕另一颗恒星运行。

这难以置信。 考虑一下。

纵观整个人类历史,

你可以
用两只手数出宇宙中所有已知的行星——

九——八?

九? 八——八。

(笑声)

嗯。

(笑声)

但现在我们知道它们无处不在。

每颗

星星——你在天空中看到的每一颗星星
都可能有三、五、十颗行星。

天空充满了他们。

我们认为行星的
数量可能超过银河系中的恒星。

这是一个深刻的声明

,它是因为科学而做出的。

这不仅仅是因为科学
、天文台和数据。

这是因为科学家
们建造了天文台,

他们获取了数据,

他们犯了错误并承认了错误

,然后让其他科学家
在他们的错误基础上再接再厉,

这样他们就可以做他们所做的事情,

并找出
我们在 宇宙。

这样你才能找到真相。

当科学
敢于做人时,它就处于最佳状态。

谢谢你。

(掌声和欢呼)