Whats the difference between a scientific law and theory Matt Anticole

Chat with a friend about
an established scientific theory

and she might reply,
“Well, that’s just a theory.”

But a conversation about
an established scientific law

rarely ends with,
“Well, that’s just a law.”

Why is that?

What is the difference
between a theory and a law,

and is one better?

Scientific laws and theories
have different jobs to do.

A scientific law predicts
the results of certain initial conditions.

It might predict your unborn
child’s possible hair colors,

or how far a baseball travels
when launched at a certain angle.

In contrast, a theory tries to provide
the most logical explanation

about why things happen as they do.

A theory might invoke
dominant and recessive genes

to explain how brown-haired parents
ended up with a red-headed child,

or use gravity to shed light
on the parabolic trajectory of a baseball.

In simplest terms,

a law predicts what happens
while a theory proposes why.

A theory will never grow up into a law,

though the development of one
often triggers progress on the other.

In the 17th century, Johannes Kepler
theorized cosmic musical harmonies

to explain the nature of planetary orbits.

He developed three brilliant laws
of planetary motion

while he was studying decades
of precise astronomical data

in an effort to find support
for his theory.

While his three laws
are still in use today,

gravity replaced his theory of harmonics
to explain the planets' motions.

How did Kepler get part of it wrong?

Well, we weren’t handed
a universal instruction manual.

Instead, we continually propose,
challenge, revise, or even replace

our scientific ideas
as a work in progress.

Laws usually resist change

since they wouldn’t have been adopted
if they didn’t fit the data,

though we occasionally revise laws
in the face of new unexpected information.

A theory’s acceptance, however,
is often gladiatorial.

Multiple theories may compete
to supply the best explanation

of a new scientific discovery.

Upon further research,

scientists tend to favor the theory
that can explain most of the data,

though there may still
be gaps in our understanding.

Scientists also like
when a new theory successfully predicts

previously unobserved phenomena,

like when Dmitri Mendeleev’s theory
about the periodic table

predicted several undiscovered elements.

The term scientific theory
covers a broad swath.

Some theories are new ideas
with little experimental evidence

that scientists eye with suspicion,

or even ridicule.

Other theories,

like those involving the Big Bang,
evolution, and climate change,

have endured years
of experimental confirmation

before earning acceptance by the majority
of the scientific community.

You would need to learn more about
a specific explanation

before you’d know how well
scientists perceive it.

The word theory
alone doesn’t tell you.

In full disclosure,

the scientific community has bet
on the wrong horse before:

alchemy,

the geocentric model,

spontaneous generation,

and the interstellar aether

are just a few of many theories
discarded in favor of better ones.

But even incorrect theories
have their value.

Discredited alchemy was the birthplace
of modern chemistry,

and medicine made great strides

long before we understood the roles
of bacteria and viruses.

That said, better theories often lead
to exciting new discoveries

that were unimaginable
under the old way of thinking.

Nor should we assume
all of our current scientific theories

will stand the test of time.

A single unexpected result is enough
to challenge the status quo.

However, vulnerability to some potentially
better explanation

doesn’t weaken
a current scientific theory.

Instead, it shields science from becoming
unchallenged dogma.

A good scientific law
is a finely-tuned machine,

accomplishing its task brilliantly

but ignorant of why it works
as well as it does.

A good scientific theory is a bruised,
but unbowed, fighter

who risks defeat if unable to overpower
or adapt to the next challenger.

Though different,

science needs both laws and theories
to understand the whole picture.

So next time someone comments that
it’s just a theory,

challenge them to go nine rounds
with the champ

and see if they can do any better.

与朋友谈论
一个既定的科学理论

,她可能会回答:
“嗯,这只是一个理论。”

但是
关于既定科学规律的对话

很少以
“嗯,这只是一个规律”结束。

这是为什么?

理论和法律有什么区别

,哪个更好?

科学定律和理论
有不同的工作要做。

科学规律预测
某些初始条件的结果。

它可能会预测您未出生的
孩子可能的头发颜色,

或者棒球以
特定角度发射时的行进距离。

相反,一种理论试图
提供最合乎逻辑的解释

,说明事情为什么会这样发生。

一种理论可能会调用
显性和隐性基因

来解释棕色头发的父母如何
最终得到一个红头发的孩子,

或者使用重力来揭示
棒球的抛物线轨迹。

简而言之

,法律预测会发生什么,
而理论提出原因。

一个理论永远不会成长为法律,尽管一个理论

的发展
往往会引发另一个的进步。

在 17 世纪,约翰内斯·开普勒 (Johannes Kepler) 提出了
宇宙音乐和声理论

来解释行星轨道的性质。

他在研究数十年
的精确天文数据

以努力
为他的理论找到支持时,发展了三个出色的行星运动定律。

虽然他的三个定律
今天仍在使用,但

重力取代了他的谐波理论
来解释行星的运动。

开普勒是如何弄错的?

好吧,我们没有
收到通用说明手册。

相反,我们不断提出、
挑战、修改甚至取代

我们的科学理念,
并将其作为一项正在进行的工作。

法律通常会抵制改变,

因为
如果它们不适合数据,它们就不会被采用,

尽管我们偶尔会
在面对新的意外信息时修改法律。

然而,一个理论的接受
往往是角斗的。

多种理论可能会竞相

为新的科学发现提供最佳解释。

经过进一步研究,

科学家们倾向于支持
能够解释大部分数据的理论,

尽管
我们的理解可能仍然存在差距。

科学家们也
喜欢一种新理论成功地预测了

以前未观察到的现象,

例如德米特里·门捷列夫关于元素周期表的理论

预测了几种未发现的元素。

科学理论一词
涵盖了广泛的范围。

有些理论是新的想法
,几乎没有实验证据

,科学家们怀疑

甚至嘲笑。

其他理论,

比如那些涉及大爆炸、
进化和气候变化的理论,在获得大多数科学界的认可之前,

已经经历了多年
的实验证实

在了解科学家对它的理解程度之前,您需要了解更多关于
特定解释的信息

。 单靠

理论这个词
并不能告诉你。

充分披露

,科学界
以前赌错了:炼金术

、地心模型、

自发产生

和星际以太

只是众多理论中的一小部分,而这些理论
却被更好的理论所抛弃。

但即使是不正确的理论
也有其价值。

名誉扫地的炼金术
是现代化学的发源地,

早在我们了解
细菌和病毒的作用之前,医学就取得了长足的进步。

也就是说,更好的理论往往会
带来令人兴奋的新发现

,这些发现
在旧的思维方式下是无法想象的。

我们也不应该假设
我们当前所有的科学理论

都会经受住时间的考验。

一个意想不到的结果就
足以挑战现状。

然而,对某些可能
更好的解释的脆弱性

并不会
削弱当前的科学理论。

相反,它保护科学免于成为
无可争议的教条。

一个好的科学定律
是一台经过微调的机器,

它出色地完成了它的任务,

但不知道它为什么能
像它一样有效。

一个好的科学理论是一个伤痕累累
但不屈不挠的斗士

,如果无法压倒
或适应下一个挑战者,他就有失败的风险。

虽然不同,但

科学需要法律和理论
来理解全局。

所以下次有人评论
这只是一个理论时,

挑战他们与冠军一起进行九轮比赛

,看看他们是否可以做得更好。