How can you change someone's mind? (hint: facts aren't always enough) - Hugo Mercier
2,187,508 views ・ 2018-07-26
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譯者: Lilian Chiu
審譯者: 潘 可儿
00:06
Three people are at a dinner party.
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在一場晚餐派對上有三個人。
00:09
Paul, who’s married, is looking at Linda.
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保羅已婚,他正看著琳達。
00:12
Meanwhile, Linda is looking at John,
who’s not married.
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同時,琳達正在看著未婚的約翰。
00:17
Is someone who’s married looking
at someone who’s not married?
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有沒有已婚的人
正在看著未婚的人?
00:20
Take a moment to think about it.
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花點時間想想這個問題。
00:24
Most people answer that there’s
not enough information to tell.
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大部分人的答案是:
沒有足夠的資訊來判斷。
00:28
And most people are wrong.
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然而他們都錯了。
00:30
Linda must be either married
or not married—there are no other options.
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琳達一定是已婚或未婚——
沒有其他可能性。
00:34
So in either scenario, someone married
is looking at someone who’s not married.
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所以不論是哪一種情況,
都有已婚的人正在看著未婚的人。
00:40
When presented with the explanation,
most people change their minds
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聽了解釋之後,
大部分的人改變了想法,
00:43
and accept the correct answer,
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並接受正確的答案,
00:44
despite being very confident
in their first responses.
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儘管他們對自己最初的
反應是很有信心的。
00:48
Now let’s look at another case.
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咱們來看看另一個案例。
00:49
A 2005 study by Brendan Nyhan
and Jason Reifler
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布倫丹尼和傑森萊佛勒
在 2005 年做了一項研究,
00:53
examined American attitudes regarding
the justifications for the Iraq War.
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探討美國人對於
將伊拉克戰爭合理化的態度。
00:58
Researchers presented participants
with a news article
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研究者會給受測者看一篇新聞報導,
01:01
that showed no weapons
of mass destruction had been found.
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內容是沒有找到任何
大規模殺傷性武器。
01:05
Yet many participants not only continued
to believe that WMDs had been found,
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然而,許多受測者仍然相信
有找到大規模殺傷性武器,
01:10
but they even became more convinced
of their original views.
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不僅如此,他們還
更相信自己原本的觀點。
01:14
So why do arguments change people’s minds
in some cases and backfire in others?
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所以,為什麼在某些情況下,
說理能改變人的想法,
在某些情況下卻有反效果?
01:20
Arguments are more convincing when they
rest on a good knowledge of the audience,
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當觀眾本身有很好的知識時,
說理會比較有說服力,
01:25
taking into account
what the audience believes,
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還要考量觀眾相信的是什麼、
01:27
who they trust,
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他們相信的是誰,
01:28
and what they value.
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以及他們重視的是什麼。
01:31
Mathematical and logical arguments
like the dinner party brainteaser work
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數學和邏輯的理由會有用,
就像在前面的晚餐派對範例那樣,
01:35
because even when people
reach different conclusions,
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因為儘管人們得出不同的結論,
01:38
they’re starting from
the same set of shared beliefs.
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他們的起始點是同樣一組
共同的信念看法。
01:41
In 1931, a young, unknown mathematician
named Kurt Gödel presented a proof
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1931 年,一位年輕默默無聞的
數學家冠特戈德爾提出證據,
01:47
that a logically complete
system of mathematics was impossible.
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證明數學不可能有任何
在邏輯上完備的系統。
01:51
Despite upending decades of
work by brilliant mathematicians
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儘管他的論點完全抵觸
傑出數學家數十年的研究,
01:54
like Bertrand Russell and David Hilbert,
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如伯特蘭·羅素和大衛·希爾伯特,
01:56
the proof was accepted
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但這項證據仍被接受了,
01:58
because it relied on axioms that
everyone in the field already agreed on.
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因為它的基礎是在這個領域中
大家都已經認同的公理。
02:02
Of course, many disagreements involve
different beliefs
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當然,許多不認同
是涉及到不同信念看法,
02:06
that can’t simply be reconciled
through logic.
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這就無法單單透過邏輯來和解。
02:08
When these beliefs involve
outside information,
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當這些信念看法又涉及了外部資訊,
02:11
the issue often comes down to
what sources and authorities people trust.
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議題通常就變成是大家
信賴的來源和權威是什麼了。
02:16
One study asked people to estimate
several statistics
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有一項研究要求受測者去估計幾項
02:19
related to the scope of climate change.
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和氣候變遷範圍相關的統計數字。
02:22
Participants were asked questions,
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受測者要回答一些問題,
02:24
such as “how many of the years
between 1995 and 2006
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比如「從 1850 年之後
最熱的 12 年,
02:29
were one of the hottest 12 years
since 1850?”
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有多少年落在 1995 年
到 2006 年間?」
02:33
After providing their answers,
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在提出答案之後,
02:35
they were presented with data from the
Intergovernmental Panel on Climate Change,
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會再提供他們跨政府部門
專門委員會的氣候變化資料,
02:39
in this case showing that the answer
was 11 of the 12 years.
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資料顯示,12 年中有 11 年
落在這個時間區間。
02:44
Being provided with these reliable
statistics from a trusted official source
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得到可靠的統計數字,
且是來自可信任的官方來源,
02:48
made people more likely to accept
the reality that the earth is warming.
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這些人就更有可能接受
地球正在暖化的現實。
02:52
Finally, for disagreements that
can’t be definitively settled
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最後,至於用統計或邏輯
都無法解決的異議,
02:56
with statistics or evidence,
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02:58
making a convincing argument
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若要提出有說服力的理由,
03:00
may depend on engaging
the audience’s values.
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可能會需要去處理觀眾的價值觀。
03:03
For example, researchers have conducted
a number of studies
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比如,研究者進行了許多研究,
03:07
where they’ve asked people
of different political backgrounds
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他們要求不同政治背景的受測者
03:10
to rank their values.
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將他們的價值觀排名。
03:12
Liberals in these studies,
on average, rank fairness—
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一般來說,在這些研究中
自由主義者會把公平——
03:15
here meaning whether everyone is treated
in the same way—above loyalty.
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這裡的公平是指
用同樣的方式對待每個人——
排名在忠誠之上。
03:20
In later studies, researchers attempted
to convince liberals
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在後來的研究中,
研究者試圖用各種理由
去說服自由主義者支持軍事的花費。
03:24
to support military spending with
a variety of arguments.
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03:28
Arguments based on fairness—
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以公平為基礎的理由——
03:30
like that the military provides employment
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比如軍隊能提供工作機會
03:32
and education to people
from disadvantaged backgrounds—
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和教育給來自弱勢背景的人——
03:35
were more convincing than arguments
based on loyalty—
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是比較有說服力的,
勝過以忠誠為基礎的理由——
03:39
such as that the military
unifies a nation.
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比如軍隊能讓國家團結。
03:41
These three elements—
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這三項元素——
03:44
beliefs, trusted sources, and values—
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信念看法、信賴的來源及價值觀——
03:47
may seem like a simple formula
for finding agreement and consensus.
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似乎是個很簡單的方程式,
可以協助取得同意和共識。
03:51
The problem is that our initial
inclination is to think of arguments
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問題是,我們最初的傾向
就是去思考建立在我們自己的
03:55
that rely on our own beliefs,
trusted sources, and values.
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信念看法、信賴的來源,
及價值觀之上的理由。
03:59
And even when we don’t,
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當我們不這麼做時,
04:00
it can be challenging to correctly
identify what’s held dear
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若要正確地找出尚未同意
我們的人究竟珍視什麼,
04:04
by people who don’t already agree with us.
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就會變得很困難。
04:07
The best way to find out
is simply to talk to them.
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找到答案最好的方式,
就是和他們談。
04:10
In the course of discussion,
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在討論的過程中,
04:11
you’ll be exposed to counter-arguments
and rebuttals.
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你會遇到相反的論點和反駁。
04:14
These can help you make your own
arguments and reasoning more convincing
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這些都能協助你把你自己的論點
和理由變得更有說服力,
04:19
and sometimes, you may even end up
being the one changing your mind.
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有時,你最後甚至會成為
改變你自己想法的那個人。
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