Nate Silver: How does race affect votes?

38,912 views ・ 2009-04-24

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譯者: Sarah Sau 審譯者: Brenda Yuan
00:18
I want to talk about the election.
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我要跟大家聊聊有關選舉
00:21
For the first time in the United States, a predominantly white group of voters
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美國有史以來,大多數白人選民
00:24
voted for an African-American candidate for President.
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首次投票給一位非洲裔候選人
00:27
And in fact Barack Obama did quite well.
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事實上,歐巴馬取得不錯的成績
00:29
He won 375 electoral votes.
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獲得了375張選舉人票
00:31
And he won about 70 million popular votes
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與此同時,還獲得7,000萬張民眾選票
00:34
more than any other presidential candidate --
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是歷屆總統選舉中,獲得票數最高
00:36
of any race, of any party -- in history.
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比任何族裔和黨派的候選人都要出色
00:39
If you compare how Obama did against how John Kerry had done four years earlier --
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比起歐巴馬與四年前凱利的選舉
00:43
Democrats really like seeing this transition here,
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民主黨應該很欣然看到當中的改變
00:46
where almost every state becomes bluer, becomes more democratic --
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幾乎每個州,對民主黨的支持度均上升
00:50
even states Obama lost, like out west,
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就連歐巴馬輸掉的州份,比如美國西岸
00:52
those states became more blue.
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也是如此
00:54
In the south, in the northeast, almost everywhere
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相同情形也出現在南部和東北部
00:57
but with a couple of exceptions here and there.
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當然,也有一些例外
01:00
One exception is in Massachusetts.
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其中一個例外是麻薩諸塞州
01:02
That was John Kerry's home state.
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那是凱利的家鄉
01:04
No big surprise, Obama couldn't do better than Kerry there.
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理所當然,歐巴馬的成績不可能勝過凱利
01:06
Or in Arizona, which is John McCain's home,
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還有亞利桑那州,那是對手麥肯的家鄉
01:08
Obama didn't have much improvement.
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歐巴馬很難有所突破
01:10
But there is also this part of the country, kind of in the middle region here.
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在中部地區也有類似情況,如
01:12
This kind of Arkansas, Tennessee, Oklahoma, West Virginia region.
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阿肯色州、田納西州、俄克拉荷馬州、西佛吉尼亞州
01:16
Now if you look at '96, Bill Clinton --
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比較1996年克林頓
01:18
the last Democrat to actually win -- how he did in '96,
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上一位代表民主黨獲勝總統的票選
01:21
you see real big differences in this part of the country right here,
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會發現驚人的改變
01:24
the kind of Appalachians, Ozarks, highlands region, as I call it:
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地區如:阿巴拉契亞山區(Appalachinas)、歐扎克斯(Ozarks)、高原地區
01:28
20 or 30 point swings
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有20至30點的調整
01:30
from how Bill Clinton did in '96 to how Obama did
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這是從1996克林頓到歐巴馬
01:32
in 2008.
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2008年
01:34
Yes Bill Clinton was from Arkansas, but these are very, very profound differences.
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雖然阿肯色州是克林頓的家鄉,但當中的差距未免也太大!
01:39
So, when we think about parts of the country like Arkansas, you know.
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讓我們探討一下地區,如阿肯色州
01:41
There is a book written called, "What's the Matter with Kansas?"
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有本書叫《 堪薩斯州到底怎麼了?》
01:44
But really the question here -- Obama did relatively well in Kansas.
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但問題是,歐巴馬在堪薩斯州的成績不算差
01:47
He lost badly but every Democrat does.
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他雖然輸了這個州,但每位民主黨候選人都這樣
01:49
He lost no worse than most people do.
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他沒有不如他人
01:51
But yeah, what's the matter with Arkansas?
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所以囉,阿肯色州到底怎麼了?
01:55
(Laughter)
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(笑聲)
01:56
And when we think of Arkansas we tend to have pretty negative connotations.
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想到阿肯色州,難免有些負面的想法
01:59
We think of a bunch of rednecks, quote, unquote, with guns.
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一群拿著槍的鄉下人
02:02
And we think people like this probably don't want to vote
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想也知道這些人不會支持
02:05
for people who look like this and are named Barack Obama.
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歐巴馬這類型,甚至聽到這名字就不想理了
02:08
We think it's a matter of race. And is this fair?
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歸根究底,就是種族問題在作怪
02:11
Are we kind of stigmatizing people from Arkansas, and this part of the country?
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如此形容阿肯色州人,是否太武斷了?
02:14
And the answer is: it is at least partially fair.
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其實不然,起碼有一部份說得對
02:17
We know that race was a factor, and the reason why we know that
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種族問題的確有影響,如此說
02:19
is because we asked those people.
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是因為有經過查證
02:21
Actually we didn't ask them, but when they conducted
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雖然沒有直接詢問原因
02:23
exit polls in every state,
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但曾在投票站
02:25
in 37 states, out of the 50,
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50個州中,就訪問了30個州
02:27
they asked a question, that was pretty direct, about race.
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有關種族的問題
02:30
They asked this question.
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內容是
02:32
In deciding your vote for President today, was the race
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在今天的總統選舉中,候選人的種族背景
02:34
of the candidate a factor?
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是否考量因素之一?
02:36
We're looking for people that said, "Yes, race was a factor;
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我們特別針對承認候選人種族背景
02:39
moreover it was an important factor, in my decision,"
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或多或少影響到投票決定的選民
02:41
and people who voted for John McCain
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尤其支持麥肯
02:44
as a result of that factor,
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其真正原因
02:46
maybe in combination with other factors, and maybe alone.
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或許只有一個原因,有或許更多
02:48
We're looking for this behavior among white voters
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特別著重白人選民
02:51
or, really, non-black voters.
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喔,正確說是非黑人選民做研究
02:54
So you see big differences in different parts
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大家可以看到,差距其實很大
02:56
of the country on this question.
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尤其訪問者來自不同地區
02:58
In Louisiana, about one in five white voters
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路易斯安那州,每五個白人選民,就有一位
03:01
said, "Yes, one of the big reasons why I voted against Barack Obama
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承認不選歐巴馬
03:04
is because he was an African-American."
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因為他是非裔美國人
03:06
If those people had voted for Obama,
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假如這群選民原意支持歐巴馬
03:08
even half of them, Obama would have won Louisiana safely.
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即使只有一半,也必成歐巴馬的囊中物
03:12
Same is true with, I think, all of these states you see on the top of the list.
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同樣道理,可以用於以上州份
03:14
Meanwhile, California, New York, we can say, "Oh we're enlightened"
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再看看加州、紐約,所謂見過世面的州份
03:18
but you know, certainly a much lower incidence of this
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相對受種族影響較少
03:20
admitted, I suppose,
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起碼我如此認為
03:22
manifestation of racially-based voting.
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這是顯而易見
03:25
Here is the same data on a map.
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地圖顯示同樣的數據
03:27
You kind of see the relationship between
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更容易看出當中的關係
03:29
the redder states of where more people responded and said,
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紅色州份就有很多人承認
03:31
"Yes, Barack Obama's race was a problem for me."
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介意歐巴馬的種族背景
03:34
You see, comparing the map to '96, you see an overlap here.
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再對照1996年,看到當中的重疊嗎?
03:37
This really seems to explain
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這就解釋了
03:39
why Barack Obama did worse
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為甚麼歐巴馬未能獲得某些選民支持
03:41
in this one part of the country.
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尤其是這些區域
03:43
So we have to ask why.
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為甚麼有這樣的現象?
03:45
Is racism predictable in some way?
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種族歧視有跡可尋嗎?
03:47
Is there something driving this?
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又是甚麼因素致使種族歧視?
03:49
Is it just about some weird stuff that goes on in Arkansas
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難道這些怪現象只發生在阿肯色州和肯德基州?
03:51
that we don't understand, and Kentucky?
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讓人難以理解
03:53
Or are there more systematic factors at work?
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還是有更多其他原因?
03:55
And so we can look at a bunch of different variables.
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就讓我們深入地了解一下
03:57
These are things that economists and political scientists look at all the time --
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經濟學家和政治學家早已對此展開調查
04:00
things like income, and religion, education.
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收入多寡、宗教信仰、教育程度等等
04:03
Which of these seem to drive
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究竟那項導致
04:05
this manifestation of racism
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種族歧視
04:07
in this big national experiment we had on November 4th?
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試圖在11月4日選舉中找出答案
04:10
And there are a couple of these that have
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當中有幾個因素
04:12
strong predictive relationships,
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扮演著舉足輕重的影響地位
04:14
one of which is education,
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其中一個便是教育程度
04:17
where you see the states with the fewest years of schooling
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大家可以看到教育程度較低的州份
04:19
per adult are in red,
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以紅色顯示
04:21
and you see this part of the country, the kind of Appalachians region,
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可以看到阿巴拉契亞山區
04:24
is less educated. It's just a fact.
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教育程度較低
04:26
And you see the relationship there
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教育程度直接影響選民
04:28
with the racially-based voting patterns.
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是否以種族背景為選舉的考慮因素
04:31
The other variable that's important is
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另一個影響選民的重要因素
04:33
the type of neighborhood that you live in.
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就是左鄰右舍
04:36
States that are more rural --
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比較鄉下的州份
04:38
even to some extent of the states like New Hampshire and Maine --
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如罕布什爾州和緬因
04:40
they exhibit a little bit of
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也有如此現象
04:42
this racially-based voting against Barack Obama.
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因為歐巴馬的種族背景,不願支持
04:45
So it's the combination of these two things: it's education
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因此,兩個因素影響了結果。那就是教育程度
04:47
and the type of neighbors that you have,
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還有左鄰右舍
04:49
which we'll talk about more in a moment.
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稍後我會再詳細分析
04:51
And the thing about states like Arkansas and Tennessee
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阿肯色州和田納西州就是鮮明的例子
04:53
is that they're both very rural,
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都是鄉下地方
04:55
and they are educationally impoverished.
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居民所受的教育也較貧乏
04:59
So yes, racism is predictable.
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所以說種族歧視是有跡可尋
05:01
These things, among maybe other variables,
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透過以上這些,再加其他因素
05:03
but these things seem to predict it.
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幫助我們了解
05:05
We're going to drill down a little bit more now,
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現在,讓我們再深入看看
05:07
into something called the General Social Survey.
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社會概況調查
05:09
This is conducted by the University of Chicago
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由芝加哥大學發起
05:11
every other year.
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每隔一年舉辦一次
05:13
And they ask a series of really interesting questions.
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當中包括一系列有趣問題
05:15
In 2000 they had particularly interesting questions
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2000年的調查
05:17
about racial attitudes.
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特別針對種族觀念
05:19
One simple question they asked is,
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其中一個簡單的問題
05:21
"Does anyone of the opposite race live in your neighborhood?"
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「在所居住的社區,有沒有其他種族」?
05:25
We can see in different types of communities that the results are quite different.
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不同社區所得到的答案也迥然不同
05:28
In cites, about 80 percent of people
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在市區,80%受訪者
05:31
have someone whom they consider a neighbor of another race,
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表示有其他種族的鄰居
05:34
but in rural communities, only about 30 percent.
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在鄉村地區,只有約30%
05:37
Probably because if you live on a farm, you might not have a lot of neighbors, period.
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或許是因為鄉村,農場遼闊,沒有太多鄰居
05:40
But nevertheless, you're not having a lot of interaction with people
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因此沒機會與背景不同的人來往
05:43
who are unlike you.
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尤其那種跟自己完全不同
05:45
So what we're going to do now is take the white people in the survey
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現在,我們要一份調查
05:48
and split them between those who have black neighbors --
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將白人分成兩組,一組是有黑人鄰居
05:51
or, really, some neighbor of another race --
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喔,正確說法是與其他種族為鄰
05:53
and people who have only white neighbors.
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另一組則只有白人鄰居
05:56
And we see in some variables
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仔細分析數據
05:58
in terms of political attitudes, not a lot of difference.
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所持政治立場,兩組分別並不大
06:00
This was eight years ago, some people were more Republican back then.
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雖說這是八年前的數據,較多人支持共和黨
06:03
But you see Democrats versus Republican,
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比較民主黨和共和黨
06:05
not a big difference based on who your neighbors are.
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與誰為鄰,並沒有直接影響政治立場
06:08
And even some questions about race -- for example
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在針對族裔的調查,例如
06:10
affirmative action, which is kind of a political question,
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一些如權益平等促進法的問題
06:12
a policy question about race, if you will --
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此類有關政治的問題
06:14
not much difference here.
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答案也沒有太大分別
06:16
Affirmative action is not very popular frankly, with white voters, period.
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坦白說,權益平等促進法在白人選民中,並不受歡迎
06:19
But people with black neighbors and people with mono-racial neighborhoods
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有黑人的社區,或單一種族的社區
06:22
feel no differently about it really.
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則沒有太大的分別
06:25
But if you probe a bit deeper and get a bit more personal if you will,
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不過,如果更深入,針對個人調查
06:29
"Do you favor a law banning interracial marriage?"
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問題如「是否支持反異族通婚法?」
06:31
There is a big difference.
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所得的答案則完全不同
06:33
People who don't have neighbors of a different race
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來自單一種族社區的民眾
06:35
are about twice as likely
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對這問題的支持率是另一組的兩倍
06:37
to oppose interracial marriage as people who do.
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反對異族通婚
06:40
Just based on who lives in your immediate neighborhood around you.
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這單單只是受鄰居影響
06:43
And likewise they asked, not in 2000, but in the same survey in 1996,
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1996年,也做過相同調查
06:47
"Would you not vote for a qualified black president?"
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問:「是否支持非裔美國人當選總統?」
06:51
You see people without neighbors who are African-American who
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調查發現,那些未曾與非裔為鄰
06:53
were much more likely to say, "That would give me a problem."
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多會表示不願意支持
06:56
So it's really not even about urban versus rural.
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所以說,這根本不是攸關城市與鄉村
06:58
It's about who you live with.
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與誰為鄰才是關鍵
07:00
Racism is predictable. And it's predicted by
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種族歧視是有跡可尋
07:02
interaction or lack thereof with people unlike you, people of other races.
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透過所接觸的人,甚至交友狀況而得知
07:06
So if you want to address it,
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簡單來說
07:08
the goal is to facilitate interaction with people of other races.
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我們的目標就是促進各種族互動
07:11
I have a couple of very obvious, I suppose,
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我心中有一些想法
07:13
ideas for maybe how to do that.
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希望能推動這個目標
07:16
I'm a big fan of cities.
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我非常熱愛城市
07:18
Especially if we have cites that are diverse and sustainable,
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尤其我們的城市如此多元化
07:21
and can support people of different ethnicities and different income groups.
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融匯了各族裔群體,各社會階層
07:24
I think cities facilitate more of the kind of networking,
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城市裡有很多機會擴展社交圈
07:27
the kind of casual interaction than you might have on a daily basis.
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每天都可以接觸不同的人
07:30
But also not everyone wants to live in a city, certainly not a city like New York.
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當然,不是每個人都喜歡住城市,尤其是紐約
07:33
So we can think more about things like street grids.
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讓我們看看這類如棋盤式格局的街道
07:36
This is the neighborhood where I grew up in East Lansing, Michigan.
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我在芝加哥的東蘭莘長大
07:38
It's a traditional Midwestern community, which means you have real grid.
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一個典型中西部社區,街道都是整整齊齊
07:41
You have real neighborhoods and real trees, and real streets you can walk on.
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可以看到實實在在的社區、樹木、街道
07:44
And you interact a lot with your neighbors --
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在這裡,可以跟許多鄰居來往、互動
07:47
people you like, people you might not know.
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儘管有些人我們未必喜歡,甚至不了解
07:49
And as a result it's a very tolerant community,
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卻是一個可包容彼此的社區
07:52
which is different, I think, than something like this,
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另外一種城市就不一樣
07:54
which is in Schaumburg, Illinois,
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如伊利諾州的紹姆堡
07:56
where every little set of houses has their own cul-de-sac
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每家都有私家路
07:59
and drive-through Starbucks and stuff like that.
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甚至大到可容納一家星巴客等等
08:01
I think that actually this type of urban design,
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這類社區
08:04
which became more prevalent in the 1970s and 1980s --
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在70、80年代特別流行
08:07
I think there is a relationship between that and the country becoming
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我個人認為美國會變得
08:10
more conservative under Ronald Reagan.
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如此保守,是在雷根總統任職的時候
08:12
But also here is another idea we have --
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還有另一個想法
08:15
is an intercollegiate exchange program
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就是交換生計畫
08:17
where you have students going from New York abroad.
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例如將紐約學生送往海外
08:20
But frankly there are enough differences within the country now
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老實說,就算在美國,各州縣差距也很大
08:22
where maybe you can take a bunch of kids from NYU,
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或許可以將紐約大學生
08:25
have them go study for a semester at the University of Arkansas,
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送到阿肯色大學
08:27
and vice versa. Do it at the high school level.
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反之亦然。還可以將此延伸至高中
08:30
Literally there are people who might be in school in Arkansas or Tennessee
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其實,生長在阿肯色州或田納西州的學生
08:33
and might never interact in a positive affirmative way
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可能從未有機會與其他種族交流
08:36
with someone from another part of the country, or of another racial group.
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尤其是來自另一個地區或種族
08:40
I think part of the education variable we talked about before
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教育的其中一個目的
08:43
is the networking experience you get when you go to college
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就是在大學時期建立人際網絡
08:45
where you do get a mix of people that you might not interact with otherwise.
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與不同種族的同學交流互動
08:49
But the point is, this is all good news,
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總結,這可是一個好消息
08:51
because when something is predictable,
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事情有跡可循
08:54
it is what I call designable.
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就代表有相關對策
08:56
You can start thinking about solutions to solving that problem,
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大家可以開始想想有甚麼解決方法
08:58
even if the problem is pernicious and as intractable as racism.
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儘管不容易解決,如種族歧視,非常棘手
09:01
If we understand the root causes of the behavior
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但如果我們能夠揪出問題的根源
09:03
and where it manifests itself and where it doesn't,
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將之抽絲剝繭
09:05
we can start to design solutions to it.
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必能找出相對應辦法
09:08
So that's all I have to say. Thank you very much.
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以上是我想與大家分享的。謝謝!
09:10
(Applause)
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(掌聲)
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