Does racism affect how you vote? - Nate Silver
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I<00:00:15.480> want<00:00:15.599> to<00:00:15.719> talk<00:00:16.359> about<00:00:17.359> the<00:00:17.480> election<00:00:18.000> for
I want to talk about the election for
I want to talk about the election for
the<00:00:18.279> first<00:00:18.560> time<00:00:18.720> in<00:00:18.800> the<00:00:18.920> United<00:00:19.240> States<00:00:19.560> a
the first time in the United States a
the first time in the United States a
predominantly<00:00:20.279> white<00:00:20.840> group<00:00:21.080> of<00:00:21.240> Voters
predominantly white group of Voters
predominantly white group of Voters
voted<00:00:22.199> for<00:00:22.359> an<00:00:22.519> African-American<00:00:23.119> candidate
voted for an African-American candidate
voted for an African-American candidate
for<00:00:23.599> president<00:00:24.000> and<00:00:24.080> in<00:00:24.160> fact<00:00:24.320> Barack<00:00:24.560> Obama
for president and in fact Barack Obama
for president and in fact Barack Obama
did<00:00:25.560> quite<00:00:25.800> well<00:00:26.000> he<00:00:26.119> won<00:00:26.760> 375<00:00:27.760> electoral
did quite well he won 375 electoral
did quite well he won 375 electoral
votes<00:00:28.599> and<00:00:28.720> he<00:00:28.800> won<00:00:29.039> about<00:00:29.279> 70<00:00:29.599> million
votes and he won about 70 million
votes and he won about 70 million
popular<00:00:31.160> votes<00:00:31.519> more<00:00:31.720> than<00:00:31.920> any<00:00:32.360> other
popular votes more than any other
popular votes more than any other
presidential<00:00:33.040> candidate<00:00:33.680> of<00:00:33.800> any<00:00:34.040> race<00:00:34.320> of
presidential candidate of any race of
presidential candidate of any race of
any<00:00:34.680> party<00:00:35.280> in<00:00:35.480> history<00:00:36.160> if<00:00:36.239> you<00:00:36.360> compare<00:00:36.719> how
any party in history if you compare how
any party in history if you compare how
Obama<00:00:37.399> did<00:00:37.600> against<00:00:37.840> how<00:00:38.040> John<00:00:38.280> krey<00:00:38.640> had<00:00:38.760> done
Obama did against how John krey had done
Obama did against how John krey had done
four<00:00:39.200> years
four years
four years
earlier<00:00:41.079> Democrats<00:00:41.559> really<00:00:41.760> like<00:00:41.960> seeing
earlier Democrats really like seeing
earlier Democrats really like seeing
this<00:00:42.640> transition<00:00:43.239> here<00:00:43.559> where<00:00:43.840> almost<00:00:44.160> every
this transition here where almost every
this transition here where almost every
state<00:00:44.760> becomes<00:00:45.559> Bluer<00:00:46.160> becomes<00:00:46.480> more
state becomes Bluer becomes more
state becomes Bluer becomes more
democratic<00:00:47.600> even<00:00:47.840> States<00:00:48.160> Obama<00:00:48.600> lost<00:00:48.960> like
democratic even States Obama lost like
democratic even States Obama lost like
out<00:00:49.360> west<00:00:50.079> those<00:00:50.239> States<00:00:50.559> became<00:00:50.879> more<00:00:51.039> blue
out west those States became more blue
out west those States became more blue
in<00:00:51.760> the<00:00:52.000> south<00:00:52.600> in<00:00:52.719> the<00:00:52.840> Northeast<00:00:53.399> almost
in the south in the Northeast almost
in the south in the Northeast almost
everywhere<00:00:54.000> but<00:00:54.120> with<00:00:54.239> a<00:00:54.359> couple<00:00:54.559> of
everywhere but with a couple of
everywhere but with a couple of
exceptions<00:00:55.840> here<00:00:56.000> and<00:00:56.239> there<00:00:56.879> um<00:00:57.079> one
exceptions here and there um one
exceptions here and there um one
exception<00:00:57.680> is<00:00:57.840> in<00:00:58.519> Massachusetts<00:00:59.160> that<00:00:59.280> was
exception is in Massachusetts that was
exception is in Massachusetts that was
John<00:00:59.640> K<00:01:00.039> 's<00:01:00.399> home<00:01:00.719> state<00:01:01.000> no<00:01:01.160> big<00:01:01.320> surprise
John K 's home state no big surprise
John K 's home state no big surprise
Obama<00:01:02.000> couldn't<00:01:02.199> do<00:01:02.320> better<00:01:02.519> than<00:01:02.680> Carrie
Obama couldn't do better than Carrie
Obama couldn't do better than Carrie
there<00:01:03.160> or<00:01:03.280> in<00:01:03.480> Arizona<00:01:03.960> which<00:01:04.080> is<00:01:04.199> John
there or in Arizona which is John
there or in Arizona which is John
McCain's<00:01:04.920> home<00:01:05.600> Obama<00:01:05.960> didn't<00:01:06.200> have<00:01:06.360> much
McCain's home Obama didn't have much
McCain's home Obama didn't have much
improvement<00:01:07.439> but<00:01:07.560> there's<00:01:07.720> also<00:01:07.920> this<00:01:08.040> part
improvement but there's also this part
improvement but there's also this part
of<00:01:08.240> the<00:01:08.360> country<00:01:08.640> kind<00:01:08.759> of<00:01:08.840> in<00:01:08.920> the<00:01:09.000> middle
of the country kind of in the middle
of the country kind of in the middle
region<00:01:09.560> here<00:01:09.759> this<00:01:09.920> kind<00:01:10.000> of<00:01:10.280> Arkansas
region here this kind of Arkansas
region here this kind of Arkansas
Tennessee<00:01:12.400> Oklahoma<00:01:12.960> West<00:01:13.119> Virginia<00:01:13.479> region
Tennessee Oklahoma West Virginia region
Tennessee Oklahoma West Virginia region
now<00:01:13.880> if<00:01:13.920> you<00:01:14.040> look<00:01:14.119> at<00:01:14.200> 96<00:01:15.040> Bill<00:01:15.240> Clinton<00:01:15.920> the
now if you look at 96 Bill Clinton the
now if you look at 96 Bill Clinton the
last<00:01:16.200> Democrat<00:01:16.600> to<00:01:16.759> actually<00:01:17.040> win<00:01:17.759> how<00:01:17.880> he<00:01:18.000> did
last Democrat to actually win how he did
last Democrat to actually win how he did
in<00:01:18.200> 96<00:01:18.680> you<00:01:18.759> see<00:01:19.000> real<00:01:19.200> big<00:01:19.400> differences<00:01:20.119> in
in 96 you see real big differences in
in 96 you see real big differences in
this<00:01:20.439> part<00:01:20.600> of<00:01:20.720> the<00:01:20.840> country<00:01:21.240> right<00:01:21.439> here<00:01:21.640> the
this part of the country right here the
this part of the country right here the
kind<00:01:21.920> of<00:01:22.400> Appalachians<00:01:23.320> Ozarks<00:01:24.200> Highlands
kind of Appalachians Ozarks Highlands
kind of Appalachians Ozarks Highlands
region<00:01:25.000> as<00:01:25.119> I<00:01:25.280> call<00:01:25.439> it<00:01:25.880> 20<00:01:26.159> or<00:01:26.320> 30<00:01:26.640> point
region as I call it 20 or 30 point
region as I call it 20 or 30 point
swings<00:01:27.360> from<00:01:27.520> how<00:01:27.680> Bill<00:01:27.880> Clinton<00:01:28.159> did<00:01:28.280> in<00:01:28.320> 96
swings from how Bill Clinton did in 96
swings from how Bill Clinton did in 96
to<00:01:29.000> how<00:01:29.200> Obama<00:01:29.560> did<00:01:30.159> in<00:01:30.560> 2008<00:01:31.079> Yes<00:01:31.240> Bill
to how Obama did in 2008 Yes Bill
to how Obama did in 2008 Yes Bill
Clinton<00:01:31.680> was<00:01:31.840> from<00:01:32.000> Arkansas<00:01:32.560> these<00:01:32.640> are<00:01:32.880> very
Clinton was from Arkansas these are very
Clinton was from Arkansas these are very
very<00:01:33.360> profound
very profound
very profound
differences<00:01:36.079> so<00:01:36.320> when<00:01:36.439> we<00:01:36.560> think<00:01:36.680> about<00:01:36.840> parts
differences so when we think about parts
differences so when we think about parts
of<00:01:37.119> the<00:01:37.240> country<00:01:37.560> like<00:01:37.720> Arkansas<00:01:38.479> you<00:01:38.560> know
of the country like Arkansas you know
of the country like Arkansas you know
and<00:01:38.799> there's<00:01:38.920> a<00:01:39.079> book<00:01:39.360> written<00:01:39.720> called<00:01:40.000> what's
and there's a book written called what's
and there's a book written called what's
the<00:01:40.280> matter<00:01:40.520> with<00:01:40.720> Kansas<00:01:41.159> but<00:01:41.320> really<00:01:41.479> the
the matter with Kansas but really the
the matter with Kansas but really the
question<00:01:41.880> here<00:01:42.040> Obama<00:01:42.399> did<00:01:43.040> relatively<00:01:43.560> well
question here Obama did relatively well
question here Obama did relatively well
in<00:01:43.920> Kansas<00:01:44.280> he<00:01:44.439> lost<00:01:44.960> badly<00:01:45.320> but<00:01:45.439> every
in Kansas he lost badly but every
in Kansas he lost badly but every
Democrat<00:01:46.159> does<00:01:46.320> he<00:01:46.479> lost<00:01:46.719> no<00:01:46.920> worse<00:01:47.200> than<00:01:47.439> most
Democrat does he lost no worse than most
Democrat does he lost no worse than most
people<00:01:47.920> do<00:01:48.560> but<00:01:48.759> yeah<00:01:48.920> what's<00:01:49.119> the<00:01:49.240> matter
people do but yeah what's the matter
people do but yeah what's the matter
with
Arkansas<00:01:53.000> and<00:01:53.119> when<00:01:53.240> we<00:01:53.360> think<00:01:53.479> of<00:01:53.600> Arkansa<00:01:54.119> we
Arkansas and when we think of Arkansa we
Arkansas and when we think of Arkansa we
tend<00:01:54.399> to<00:01:54.600> have<00:01:54.799> pretty<00:01:55.079> negative
tend to have pretty negative
tend to have pretty negative
connotations<00:01:56.520> we<00:01:56.640> think<00:01:56.799> of<00:01:56.880> a<00:01:57.000> bunch<00:01:57.200> of
connotations we think of a bunch of
connotations we think of a bunch of
rednecks<00:01:58.399> quote<00:01:58.600> unquote<00:01:59.079> with<00:01:59.240> guns<00:01:59.520> and<00:01:59.600> we
rednecks quote unquote with guns and we
rednecks quote unquote with guns and we
think<00:02:00.079> people<00:02:00.399> like<00:02:00.600> this<00:02:00.920> probably<00:02:01.240> don't
think people like this probably don't
think people like this probably don't
want<00:02:01.560> to<00:02:01.759> vote<00:02:02.399> for<00:02:02.799> people<00:02:03.000> who<00:02:03.119> look<00:02:03.320> like
want to vote for people who look like
want to vote for people who look like
this<00:02:03.640> and<00:02:03.759> are<00:02:03.920> named<00:02:04.240> Barack<00:02:04.560> Obama<00:02:04.960> we<00:02:05.079> think
this and are named Barack Obama we think
this and are named Barack Obama we think
it's<00:02:05.320> a<00:02:05.520> matter<00:02:06.200> of<00:02:06.439> race<00:02:07.119> and<00:02:07.320> is<00:02:07.520> this<00:02:07.799> Fair
it's a matter of race and is this Fair
it's a matter of race and is this Fair
are<00:02:08.119> we<00:02:08.280> kind<00:02:08.399> of<00:02:08.800> stigmatizing<00:02:09.800> people<00:02:10.039> from
are we kind of stigmatizing people from
are we kind of stigmatizing people from
Arkansas<00:02:10.800> and<00:02:10.920> this<00:02:11.080> part<00:02:11.200> of<00:02:11.319> the<00:02:11.440> country
Arkansas and this part of the country
Arkansas and this part of the country
and<00:02:11.879> the<00:02:12.000> answer<00:02:12.280> is<00:02:12.800> it<00:02:12.920> is<00:02:13.080> at<00:02:13.200> least
and the answer is it is at least
and the answer is it is at least
partially<00:02:13.920> fair<00:02:14.360> and<00:02:14.440> we<00:02:14.560> know<00:02:14.680> that<00:02:14.800> race<00:02:15.080> was
partially fair and we know that race was
partially fair and we know that race was
a<00:02:15.360> factor<00:02:15.599> and<00:02:15.680> the<00:02:15.800> reason<00:02:16.040> why<00:02:16.160> we<00:02:16.280> know<00:02:16.400> that
a factor and the reason why we know that
a factor and the reason why we know that
is<00:02:16.720> because<00:02:17.400> we<00:02:17.560> asked<00:02:17.879> those<00:02:18.080> people<00:02:18.680> I'm
is because we asked those people I'm
is because we asked those people I'm
actually<00:02:19.160> we<00:02:19.280> didn't<00:02:19.480> ask<00:02:19.640> them<00:02:19.800> but<00:02:19.959> when
actually we didn't ask them but when
actually we didn't ask them but when
they<00:02:20.239> conducted<00:02:20.640> exit<00:02:20.959> polls<00:02:21.840> in<00:02:22.040> every<00:02:22.360> state
they conducted exit polls in every state
they conducted exit polls in every state
in<00:02:22.760> 37<00:02:23.360> States<00:02:23.640> out<00:02:23.800> of<00:02:23.879> the<00:02:24.000> 50<00:02:24.239> they<00:02:24.360> asked<00:02:24.560> a
in 37 States out of the 50 they asked a
in 37 States out of the 50 they asked a
question<00:02:25.360> that<00:02:25.480> was<00:02:25.680> pretty<00:02:26.000> direct<00:02:26.720> about
question that was pretty direct about
question that was pretty direct about
race<00:02:27.400> they<00:02:27.560> asked<00:02:27.800> this<00:02:28.000> question<00:02:28.760> in
race they asked this question in
race they asked this question in
deciding<00:02:29.280> your<00:02:29.440> vote<00:02:29.599> for<00:02:29.879> president<00:02:30.239> today
deciding your vote for president today
deciding your vote for president today
was<00:02:31.120> the<00:02:31.280> race<00:02:31.599> of<00:02:31.760> the<00:02:31.920> candidate<00:02:32.440> a<00:02:32.640> factor
was the race of the candidate a factor
was the race of the candidate a factor
we're<00:02:33.560> looking<00:02:33.760> for<00:02:33.879> people<00:02:34.040> that<00:02:34.200> said<00:02:34.680> yes
we're looking for people that said yes
we're looking for people that said yes
race<00:02:35.800> was<00:02:35.920> a<00:02:36.120> factor<00:02:36.440> moreover<00:02:36.760> it<00:02:36.840> was<00:02:36.959> an
race was a factor moreover it was an
race was a factor moreover it was an
important<00:02:37.519> factor<00:02:37.879> in<00:02:38.000> my<00:02:38.200> decision<00:02:39.000> and
important factor in my decision and
important factor in my decision and
people<00:02:39.360> who<00:02:39.560> voted<00:02:39.879> for<00:02:40.440> John<00:02:40.720> McCain<00:02:41.680> as<00:02:41.800> a
people who voted for John McCain as a
people who voted for John McCain as a
result<00:02:42.440> of<00:02:42.640> that<00:02:42.840> factor<00:02:43.159> maybe<00:02:43.400> in
result of that factor maybe in
result of that factor maybe in
combination<00:02:44.280> with<00:02:44.440> other<00:02:44.640> factors<00:02:44.959> maybe
combination with other factors maybe
combination with other factors maybe
alone<00:02:45.599> and<00:02:45.680> we're<00:02:45.840> looking<00:02:46.159> for<00:02:46.319> this
alone and we're looking for this
alone and we're looking for this
Behavior<00:02:46.879> among<00:02:47.519> white<00:02:47.760> voters<00:02:48.040> or<00:02:48.280> really<00:02:49.040> uh
Behavior among white voters or really uh
Behavior among white voters or really uh
non-black<00:02:50.319> voters<00:02:51.319> so<00:02:51.519> you<00:02:51.680> see<00:02:52.280> big
non-black voters so you see big
non-black voters so you see big
differences<00:02:53.040> in<00:02:53.200> different<00:02:53.440> parts<00:02:53.599> of<00:02:53.720> the
differences in different parts of the
differences in different parts of the
country<00:02:54.480> on<00:02:54.680> this<00:02:54.879> question<00:02:55.319> in<00:02:55.480> Louisiana
country on this question in Louisiana
country on this question in Louisiana
about<00:02:56.720> one<00:02:56.920> in<00:02:57.239> five<00:02:57.920> white<00:02:58.200> voters<00:02:58.640> said<00:02:59.000> yes
about one in five white voters said yes
about one in five white voters said yes
one<00:02:59.360> of<00:02:59.440> the<00:02:59.519> big<00:02:59.879> reasons<00:03:00.120> why<00:03:00.239> I<00:03:00.319> voted
one of the big reasons why I voted
one of the big reasons why I voted
against<00:03:00.760> Barack<00:03:01.040> Obama<00:03:01.360> is<00:03:01.560> because<00:03:02.159> he<00:03:02.280> was
against Barack Obama is because he was
against Barack Obama is because he was
an<00:03:02.599> African-American<00:03:03.599> if<00:03:03.799> those<00:03:04.000> people<00:03:04.239> had
an African-American if those people had
an African-American if those people had
voted<00:03:04.680> for<00:03:04.920> Obama<00:03:05.319> even<00:03:05.599> half<00:03:05.760> of<00:03:05.879> them<00:03:06.040> Obama
voted for Obama even half of them Obama
voted for Obama even half of them Obama
would<00:03:06.560> have<00:03:06.680> won<00:03:07.440> Louisiana<00:03:08.440> safely<00:03:09.040> same<00:03:09.200> is
would have won Louisiana safely same is
would have won Louisiana safely same is
true<00:03:09.519> with<00:03:09.720> I<00:03:09.799> think<00:03:09.959> all<00:03:10.120> of<00:03:10.239> these<00:03:10.400> states
true with I think all of these states
true with I think all of these states
you<00:03:10.760> see<00:03:10.879> on<00:03:10.959> the<00:03:11.080> top<00:03:11.200> of<00:03:11.280> the<00:03:11.400> list<00:03:11.640> meanwhile
you see on the top of the list meanwhile
you see on the top of the list meanwhile
California<00:03:13.599> New<00:03:13.799> York<00:03:14.120> we<00:03:14.200> can<00:03:14.360> say<00:03:14.519> oh<00:03:14.680> we're
California New York we can say oh we're
California New York we can say oh we're
enlightened<00:03:15.560> but<00:03:15.760> you<00:03:15.879> know<00:03:16.040> certainly<00:03:16.440> much
enlightened but you know certainly much
enlightened but you know certainly much
lower<00:03:16.959> incidents<00:03:17.319> of<00:03:17.519> this<00:03:18.040> admitted<00:03:18.560> I
lower incidents of this admitted I
lower incidents of this admitted I
suppose<00:03:19.560> manifestation<00:03:20.560> of<00:03:20.879> racially<00:03:21.280> based
suppose manifestation of racially based
suppose manifestation of racially based
voting<00:03:22.879> here's<00:03:23.080> the<00:03:23.200> same<00:03:23.400> data<00:03:23.720> on<00:03:23.840> a<00:03:24.000> map<00:03:24.200> and
voting here's the same data on a map and
voting here's the same data on a map and
you<00:03:24.400> kind<00:03:24.480> of<00:03:24.599> see<00:03:24.799> the<00:03:24.920> relationship<00:03:25.440> between
you kind of see the relationship between
you kind of see the relationship between
the<00:03:26.239> redder<00:03:26.599> states<00:03:26.879> are<00:03:27.040> where<00:03:27.200> more<00:03:27.400> people
the redder states are where more people
the redder states are where more people
responded<00:03:28.120> and<00:03:28.239> said<00:03:28.599> yes<00:03:29.159> Barack<00:03:29.400> Obama<00:03:29.920> race
responded and said yes Barack Obama race
responded and said yes Barack Obama race
was<00:03:30.319> a<00:03:30.519> problem<00:03:30.760> for<00:03:30.920> me<00:03:31.080> and<00:03:31.200> you<00:03:31.360> see
was a problem for me and you see
was a problem for me and you see
comparing<00:03:32.640> the<00:03:32.760> map<00:03:32.920> to<00:03:33.040> 96<00:03:33.519> you<00:03:33.640> see<00:03:34.000> an
comparing the map to 96 you see an
comparing the map to 96 you see an
overlap<00:03:34.760> here<00:03:34.959> this<00:03:35.159> really<00:03:35.360> seems<00:03:35.640> to
overlap here this really seems to
overlap here this really seems to
explain<00:03:36.840> why<00:03:37.040> Barack<00:03:37.360> Obama<00:03:37.720> did<00:03:38.000> worse<00:03:38.680> in
explain why Barack Obama did worse in
explain why Barack Obama did worse in
this<00:03:39.080> one<00:03:39.400> part<00:03:39.640> of<00:03:39.760> the<00:03:39.879> country<00:03:40.159> so<00:03:40.319> we<00:03:40.439> have
this one part of the country so we have
this one part of the country so we have
to<00:03:40.760> ask<00:03:41.560> why<00:03:41.799> is<00:03:42.000> racism<00:03:42.439> predictable<00:03:43.439> in<00:03:43.680> some
to ask why is racism predictable in some
to ask why is racism predictable in some
way<00:03:44.200> is<00:03:44.319> there<00:03:44.519> something<00:03:45.200> driving<00:03:45.680> this<00:03:45.840> is
way is there something driving this is
way is there something driving this is
it<00:03:46.159> just<00:03:46.319> about<00:03:46.640> some<00:03:46.799> weird<00:03:47.120> stuff<00:03:47.360> that<00:03:47.480> goes
it just about some weird stuff that goes
it just about some weird stuff that goes
on<00:03:47.840> in<00:03:48.000> Arkansas<00:03:48.519> that<00:03:48.599> we<00:03:48.680> don't<00:03:49.120> understand
on in Arkansas that we don't understand
on in Arkansas that we don't understand
in<00:03:49.480> Kentucky<00:03:50.239> or<00:03:50.400> are<00:03:50.519> there<00:03:50.680> more<00:03:50.920> systematic
in Kentucky or are there more systematic
in Kentucky or are there more systematic
factors<00:03:51.879> that<00:03:52.079> work<00:03:52.400> and<00:03:52.480> so<00:03:52.640> we<00:03:52.720> can<00:03:52.840> look<00:03:52.959> at
factors that work and so we can look at
factors that work and so we can look at
a<00:03:53.159> bunch<00:03:53.319> of<00:03:53.400> different<00:03:53.720> variables<00:03:54.680> these<00:03:54.840> are
a bunch of different variables these are
a bunch of different variables these are
the<00:03:55.120> things<00:03:55.360> that<00:03:55.599> economists<00:03:56.200> and<00:03:56.599> political
the things that economists and political
the things that economists and political
scientists<00:03:57.319> look<00:03:57.439> at<00:03:57.560> all<00:03:57.680> the<00:03:57.799> time<00:03:58.040> things
scientists look at all the time things
scientists look at all the time things
like<00:03:58.439> income<00:03:58.799> and<00:03:58.959> religion<00:03:59.760> education<00:04:00.439> which
like income and religion education which
like income and religion education which
of<00:04:00.760> these<00:04:00.920> seem<00:04:01.239> to<00:04:01.840> drive<00:04:02.799> um<00:04:03.000> this
of these seem to drive um this
of these seem to drive um this
manifestation<00:04:04.280> of<00:04:04.439> racism<00:04:04.879> in<00:04:05.040> this<00:04:05.200> big
manifestation of racism in this big
manifestation of racism in this big
natural<00:04:05.760> experiment<00:04:06.159> we<00:04:06.319> had<00:04:06.480> on<00:04:06.640> November
natural experiment we had on November
natural experiment we had on November
4th<00:04:07.840> and<00:04:07.959> there<00:04:08.040> are<00:04:08.159> a<00:04:08.280> couple<00:04:08.480> of<00:04:08.640> these<00:04:08.879> that
4th and there are a couple of these that
4th and there are a couple of these that
that<00:04:09.519> have<00:04:10.239> strong<00:04:10.480> predictive
that have strong predictive
that have strong predictive
relationships<00:04:11.599> one<00:04:11.720> of<00:04:11.879> which<00:04:12.159> is<00:04:13.159> education
relationships one of which is education
relationships one of which is education
where<00:04:14.040> you<00:04:14.120> see<00:04:14.360> the<00:04:14.519> states<00:04:15.280> with<00:04:15.439> the<00:04:15.640> fewest
where you see the states with the fewest
where you see the states with the fewest
years<00:04:16.040> of<00:04:16.160> schooling<00:04:16.519> per<00:04:16.720> adult<00:04:17.079> are<00:04:17.239> in<00:04:17.440> red
years of schooling per adult are in red
years of schooling per adult are in red
and<00:04:18.160> you<00:04:18.280> see<00:04:18.639> this<00:04:18.799> part<00:04:18.959> of<00:04:19.079> the<00:04:19.160> country<00:04:19.519> the
and you see this part of the country the
and you see this part of the country the
kind<00:04:19.759> of<00:04:20.199> Appalachians<00:04:20.880> region<00:04:21.479> is<00:04:22.079> less
kind of Appalachians region is less
kind of Appalachians region is less
educated<00:04:22.800> it's<00:04:22.960> just<00:04:23.080> a<00:04:23.240> fact<00:04:23.479> and<00:04:23.560> you<00:04:23.720> see
educated it's just a fact and you see
educated it's just a fact and you see
the<00:04:24.000> relationship<00:04:24.600> there<00:04:25.199> with<00:04:25.400> the<00:04:25.520> racially
the relationship there with the racially
the relationship there with the racially
based<00:04:26.160> voting
based voting
based voting
patterns<00:04:28.080> the<00:04:28.240> other<00:04:28.720> variable<00:04:29.120> that's
patterns the other variable that's
patterns the other variable that's
important<00:04:29.880> is<00:04:30.280> the<00:04:30.440> type<00:04:30.600> of<00:04:30.800> neighborhood
important is the type of neighborhood
important is the type of neighborhood
that<00:04:31.800> you<00:04:31.960> live<00:04:32.160> in<00:04:33.080> uh<00:04:33.560> states<00:04:33.880> that<00:04:33.960> are<00:04:34.120> more
that you live in uh states that are more
that you live in uh states that are more
rural<00:04:35.000> even<00:04:35.199> to<00:04:35.360> some<00:04:35.560> extent<00:04:35.880> States<00:04:36.280> like
rural even to some extent States like
rural even to some extent States like
New<00:04:36.960> Hampshire<00:04:37.320> and<00:04:37.479> Maine<00:04:37.880> they<00:04:38.120> exhibited<00:04:38.600> a
New Hampshire and Maine they exhibited a
New Hampshire and Maine they exhibited a
little<00:04:39.039> bit<00:04:39.720> of<00:04:40.000> this<00:04:40.120> kind<00:04:40.240> of<00:04:40.360> racially
little bit of this kind of racially
little bit of this kind of racially
based<00:04:40.960> voting<00:04:41.240> against<00:04:41.479> Barack<00:04:41.759> Obama<00:04:42.120> so
based voting against Barack Obama so
based voting against Barack Obama so
it's<00:04:42.400> the<00:04:42.520> combination<00:04:42.919> of<00:04:43.080> these<00:04:43.240> two<00:04:43.440> things
it's the combination of these two things
it's the combination of these two things
it's<00:04:43.880> education<00:04:44.720> and<00:04:44.840> the<00:04:45.039> type<00:04:45.240> of<00:04:45.400> neighbors
it's education and the type of neighbors
it's education and the type of neighbors
that<00:04:46.320> you<00:04:46.479> have<00:04:46.680> which<00:04:46.759> we'll<00:04:46.919> talk<00:04:47.080> about
that you have which we'll talk about
that you have which we'll talk about
more<00:04:47.479> in<00:04:47.600> a<00:04:47.720> moment<00:04:48.080> and<00:04:48.160> the<00:04:48.280> thing<00:04:48.440> about
more in a moment and the thing about
more in a moment and the thing about
States<00:04:49.360> like<00:04:49.560> Arkansas<00:04:50.199> and<00:04:50.360> Tennessee<00:04:50.800> is
States like Arkansas and Tennessee is
States like Arkansas and Tennessee is
that<00:04:51.039> they're<00:04:51.280> both<00:04:51.800> very<00:04:52.080> rural<00:04:52.800> and<00:04:53.000> they're
that they're both very rural and they're
that they're both very rural and they're
educationally
educationally
educationally
impoverished<00:04:56.680> so<00:04:56.960> yes<00:04:57.160> racism<00:04:57.520> is
impoverished so yes racism is
impoverished so yes racism is
predictable<00:04:58.680> these<00:04:58.919> things<00:04:59.199> among<00:04:59.560> maybe
predictable these things among maybe
predictable these things among maybe
other<00:05:00.039> variables<00:05:00.560> but<00:05:00.720> these<00:05:00.880> things<00:05:01.080> seem<00:05:01.280> to
other variables but these things seem to
other variables but these things seem to
predict<00:05:01.759> it<00:05:02.280> we're<00:05:02.400> going<00:05:02.479> to<00:05:02.800> like<00:05:02.919> drill
predict it we're going to like drill
predict it we're going to like drill
down<00:05:03.280> a<00:05:03.360> little<00:05:03.479> bit<00:05:03.639> more<00:05:03.840> now<00:05:04.039> into
down a little bit more now into
down a little bit more now into
something<00:05:04.520> called<00:05:04.720> The<00:05:04.880> General<00:05:05.240> Social
something called The General Social
something called The General Social
Survey<00:05:05.960> this<00:05:06.039> is<00:05:06.199> conducted<00:05:06.759> by<00:05:07.280> the
Survey this is conducted by the
Survey this is conducted by the
University<00:05:07.880> of<00:05:07.960> Chicago<00:05:08.800> every<00:05:09.120> other<00:05:09.440> year
University of Chicago every other year
University of Chicago every other year
and<00:05:10.120> they<00:05:10.240> asked<00:05:10.479> a<00:05:10.560> series<00:05:10.800> of<00:05:11.000> really
and they asked a series of really
and they asked a series of really
interesting<00:05:11.720> questions<00:05:12.080> in<00:05:12.280> 2000<00:05:12.759> they<00:05:12.960> had
interesting questions in 2000 they had
interesting questions in 2000 they had
particularly<00:05:13.880> interesting<00:05:14.240> questions<00:05:14.639> about
particularly interesting questions about
particularly interesting questions about
racial<00:05:15.880> attitudes<00:05:16.880> and<00:05:17.080> one<00:05:17.400> simple<00:05:17.720> question
racial attitudes and one simple question
racial attitudes and one simple question
they<00:05:18.199> ask<00:05:18.520> is<00:05:18.720> does<00:05:18.960> anyone<00:05:19.759> of<00:05:19.960> the<00:05:20.160> opposite
they ask is does anyone of the opposite
they ask is does anyone of the opposite
race<00:05:20.960> live<00:05:21.160> in<00:05:21.280> your<00:05:21.400> neighborhood<00:05:22.280> and<00:05:22.400> we
race live in your neighborhood and we
race live in your neighborhood and we
can<00:05:22.639> see<00:05:22.840> in<00:05:22.960> different<00:05:23.120> types<00:05:23.319> of
can see in different types of
can see in different types of
communities<00:05:24.120> that<00:05:24.240> the<00:05:24.400> results<00:05:25.120> are<00:05:25.360> quite
communities that the results are quite
communities that the results are quite
different<00:05:26.000> in<00:05:26.199> cities<00:05:26.919> about<00:05:27.120> 80%<00:05:27.680> of<00:05:27.880> people
different in cities about 80% of people
different in cities about 80% of people
have<00:05:28.880> someone<00:05:29.120> whom<00:05:29.240> they<00:05:29.560> consider<00:05:29.840> a
have someone whom they consider a
have someone whom they consider a
neighbor<00:05:30.319> of<00:05:30.440> another<00:05:30.759> race<00:05:31.199> but<00:05:31.360> in<00:05:31.520> rural
neighbor of another race but in rural
neighbor of another race but in rural
communities<00:05:32.680> only<00:05:33.000> about<00:05:33.240> 30%<00:05:34.080> probably
communities only about 30% probably
communities only about 30% probably
because<00:05:34.600> if<00:05:34.680> you<00:05:34.880> live<00:05:35.319> on<00:05:35.479> a<00:05:35.600> farm<00:05:35.840> you<00:05:35.960> might
because if you live on a farm you might
because if you live on a farm you might
not<00:05:36.319> have<00:05:36.440> a<00:05:36.520> lot<00:05:36.639> of<00:05:36.759> neighbors<00:05:37.199> period<00:05:37.600> but
not have a lot of neighbors period but
not have a lot of neighbors period but
nevertheless<00:05:38.240> you're<00:05:38.400> not<00:05:38.639> having<00:05:39.280> a<00:05:39.360> lot<00:05:39.520> of
nevertheless you're not having a lot of
nevertheless you're not having a lot of
interaction<00:05:40.160> with<00:05:40.360> people<00:05:40.880> who<00:05:41.000> are<00:05:41.240> unlike
interaction with people who are unlike
interaction with people who are unlike
you<00:05:41.960> so<00:05:42.080> what<00:05:42.160> we're<00:05:42.280> going<00:05:42.360> to<00:05:42.479> do<00:05:42.680> now<00:05:43.639> is
you so what we're going to do now is
you so what we're going to do now is
take<00:05:44.080> the<00:05:44.280> white<00:05:44.520> people<00:05:44.800> in<00:05:44.960> the<00:05:45.120> survey<00:05:45.479> and
take the white people in the survey and
take the white people in the survey and
split<00:05:45.880> them<00:05:46.039> between<00:05:46.400> those<00:05:46.680> who<00:05:46.960> have<00:05:47.639> black
split them between those who have black
split them between those who have black
neighbors<00:05:48.199> or<00:05:48.440> really<00:05:49.160> some<00:05:49.440> neighbor<00:05:49.680> of
neighbors or really some neighbor of
neighbors or really some neighbor of
another<00:05:50.120> race<00:05:50.360> and<00:05:50.479> people<00:05:50.639> who<00:05:50.800> have<00:05:51.000> only
another race and people who have only
another race and people who have only
white
white
white
neighbors<00:05:53.759> and<00:05:53.880> we<00:05:54.000> see<00:05:54.240> in<00:05:54.400> some<00:05:54.600> variables
neighbors and we see in some variables
neighbors and we see in some variables
in<00:05:55.160> terms<00:05:55.400> of<00:05:55.560> political<00:05:55.919> attitudes<00:05:56.440> not<00:05:56.560> a
in terms of political attitudes not a
in terms of political attitudes not a
lot<00:05:56.759> of<00:05:56.960> difference<00:05:57.440> This<00:05:57.600> was<00:05:58.199> um<00:05:58.319> 8<00:05:58.560> years
lot of difference This was um 8 years
lot of difference This was um 8 years
ago<00:05:59.199> were<00:05:59.319> more<00:05:59.600> Republican<00:06:00.120> back<00:06:00.319> then<00:06:00.520> but
ago were more Republican back then but
ago were more Republican back then but
you<00:06:00.759> see<00:06:01.440> Democrats<00:06:01.880> verus<00:06:02.160> Republican<00:06:02.600> not<00:06:02.720> a
you see Democrats verus Republican not a
you see Democrats verus Republican not a
big<00:06:03.080> difference<00:06:03.479> based<00:06:03.680> on<00:06:03.840> who<00:06:03.919> your
big difference based on who your
big difference based on who your
neighbors<00:06:04.479> are<00:06:05.160> and<00:06:05.319> even<00:06:05.520> some<00:06:05.759> questions
neighbors are and even some questions
neighbors are and even some questions
about<00:06:06.400> race<00:06:06.759> for<00:06:06.880> example<00:06:07.199> affirmative
about race for example affirmative
about race for example affirmative
action<00:06:08.000> which<00:06:08.080> is<00:06:08.240> kind<00:06:08.360> of<00:06:08.520> a<00:06:09.039> political
action which is kind of a political
action which is kind of a political
question<00:06:09.800> a<00:06:10.000> policy<00:06:10.319> question<00:06:10.560> about<00:06:10.720> race<00:06:11.000> if
question a policy question about race if
question a policy question about race if
you<00:06:11.240> will<00:06:12.000> not<00:06:12.199> much<00:06:12.400> difference<00:06:12.759> here
you will not much difference here
you will not much difference here
affirmative<00:06:13.319> action<00:06:13.520> is<00:06:13.639> not<00:06:13.880> very<00:06:14.120> popular
affirmative action is not very popular
affirmative action is not very popular
frankly<00:06:14.880> with<00:06:15.039> white<00:06:15.199> voters<00:06:15.639> period<00:06:16.080> but
frankly with white voters period but
frankly with white voters period but
people<00:06:17.000> with<00:06:17.199> black<00:06:17.440> neighbors<00:06:17.880> and<00:06:18.039> people
people with black neighbors and people
people with black neighbors and people
in<00:06:18.440> monoracial<00:06:19.440> neighborhoods<00:06:20.000> feel<00:06:20.560> no
in monoracial neighborhoods feel no
in monoracial neighborhoods feel no
differently<00:06:21.199> about<00:06:21.360> it<00:06:21.599> really<00:06:22.319> but<00:06:22.440> if<00:06:22.520> you
differently about it really but if you
differently about it really but if you
probe<00:06:22.919> a<00:06:23.039> bit<00:06:23.160> deeper<00:06:23.479> and<00:06:23.599> get<00:06:23.720> a<00:06:23.800> bit<00:06:24.000> more
probe a bit deeper and get a bit more
probe a bit deeper and get a bit more
kind<00:06:24.479> of<00:06:24.680> personal<00:06:25.120> if<00:06:25.240> you<00:06:25.400> will<00:06:26.120> do<00:06:26.240> you
kind of personal if you will do you
kind of personal if you will do you
favor<00:06:26.680> a<00:06:26.880> law<00:06:27.160> Banning<00:06:27.560> interracial<00:06:28.199> marriage
favor a law Banning interracial marriage
favor a law Banning interracial marriage
there's<00:06:29.199> a<00:06:29.680> difference<00:06:30.199> people<00:06:30.560> who<00:06:31.160> don't
there's a difference people who don't
there's a difference people who don't
have<00:06:31.720> neighbors<00:06:32.120> of<00:06:32.240> A<00:06:32.400> different<00:06:32.680> race<00:06:32.919> are
have neighbors of A different race are
have neighbors of A different race are
about<00:06:33.400> twice<00:06:33.759> as<00:06:33.960> likely<00:06:34.680> to<00:06:34.960> oppose
about twice as likely to oppose
about twice as likely to oppose
interracial<00:06:35.960> marriage<00:06:36.319> as<00:06:36.479> people<00:06:36.680> who<00:06:36.840> do
interracial marriage as people who do
interracial marriage as people who do
just<00:06:37.360> based<00:06:37.639> on<00:06:37.800> who<00:06:38.000> lives<00:06:38.520> in<00:06:38.599> your
just based on who lives in your
just based on who lives in your
immediate<00:06:39.080> neighborhood<00:06:39.560> around<00:06:39.840> you<00:06:40.440> and
immediate neighborhood around you and
immediate neighborhood around you and
likewise<00:06:41.039> they<00:06:41.160> asked<00:06:41.400> not<00:06:41.520> in<00:06:41.639> 2000<00:06:42.120> but<00:06:42.240> in
likewise they asked not in 2000 but in
likewise they asked not in 2000 but in
the<00:06:42.440> same<00:06:42.639> survey<00:06:43.120> 1996<00:06:44.120> would<00:06:44.280> you<00:06:44.440> not<00:06:44.639> vote
the same survey 1996 would you not vote
the same survey 1996 would you not vote
for<00:06:45.000> a<00:06:45.160> qualified<00:06:46.160> black
for a qualified black
for a qualified black
president<00:06:48.160> and<00:06:48.240> you<00:06:48.360> see<00:06:48.639> people<00:06:49.199> without
president and you see people without
president and you see people without
neighbors<00:06:49.880> who<00:06:50.000> are<00:06:50.120> African-American<00:06:50.759> were
neighbors who are African-American were
neighbors who are African-American were
much<00:06:51.080> more<00:06:51.240> likely<00:06:51.520> to<00:06:51.639> say<00:06:52.000> that<00:06:52.120> would<00:06:52.280> give
much more likely to say that would give
much more likely to say that would give
me<00:06:52.840> a<00:06:53.080> problem<00:06:53.440> so<00:06:53.560> it's<00:06:53.720> really<00:06:53.919> not<00:06:54.120> even
me a problem so it's really not even
me a problem so it's really not even
about<00:06:54.840> Urban<00:06:55.199> versus<00:06:55.479> rural<00:06:55.800> it's<00:06:55.960> about<00:06:56.199> kind
about Urban versus rural it's about kind
about Urban versus rural it's about kind
of<00:06:56.800> who<00:06:56.960> you<00:06:57.120> live<00:06:57.319> with<00:06:57.479> and<00:06:57.599> racism<00:06:57.919> is
of who you live with and racism is
of who you live with and racism is
predictable<00:06:58.560> it's<00:06:58.720> predicted<00:06:59.199> by
predictable it's predicted by
predictable it's predicted by
an<00:07:00.160> interaction<00:07:00.720> or<00:07:00.919> lack<00:07:01.120> thereof<00:07:01.479> with
an interaction or lack thereof with
an interaction or lack thereof with
people<00:07:02.280> unlike<00:07:02.720> you<00:07:02.919> people<00:07:03.120> of<00:07:03.280> other<00:07:03.479> races
people unlike you people of other races
people unlike you people of other races
so<00:07:03.919> if<00:07:04.000> we<00:07:04.120> want<00:07:04.240> to<00:07:04.919> address<00:07:05.199> it<00:07:05.400> the<00:07:05.520> goal<00:07:05.720> is
so if we want to address it the goal is
so if we want to address it the goal is
to<00:07:06.000> facilitate<00:07:06.800> interaction<00:07:07.520> with<00:07:07.720> people<00:07:08.039> of
to facilitate interaction with people of
to facilitate interaction with people of
other<00:07:08.440> races<00:07:08.759> and<00:07:08.879> I<00:07:08.960> have<00:07:09.039> a<00:07:09.160> couple<00:07:09.360> of<00:07:09.560> very
other races and I have a couple of very
other races and I have a couple of very
obvious<00:07:10.639> I<00:07:10.720> suppose<00:07:11.120> ideas<00:07:11.479> for<00:07:11.680> maybe<00:07:12.199> how<00:07:12.319> to
obvious I suppose ideas for maybe how to
obvious I suppose ideas for maybe how to
do<00:07:12.720> that<00:07:13.479> I'm<00:07:13.599> a<00:07:13.759> big<00:07:14.000> fan<00:07:14.319> of<00:07:14.560> cities
do that I'm a big fan of cities
do that I'm a big fan of cities
especially<00:07:15.919> if<00:07:16.000> we<00:07:16.120> have<00:07:16.280> cities<00:07:16.599> that<00:07:16.720> are
especially if we have cities that are
especially if we have cities that are
diverse<00:07:17.520> and<00:07:17.720> sustainable<00:07:18.680> and<00:07:18.840> can<00:07:19.039> support
diverse and sustainable and can support
diverse and sustainable and can support
people<00:07:19.639> of<00:07:19.759> different<00:07:20.000> ethnicities<00:07:20.440> and
people of different ethnicities and
people of different ethnicities and
different<00:07:20.759> income<00:07:21.080> groups<00:07:21.440> I<00:07:21.560> think<00:07:21.759> cities
different income groups I think cities
different income groups I think cities
facilitate<00:07:23.080> more<00:07:23.400> the<00:07:23.520> kind<00:07:23.639> of<00:07:23.759> networking
facilitate more the kind of networking
facilitate more the kind of networking
and<00:07:24.400> kind<00:07:24.479> of<00:07:24.680> casual<00:07:25.000> interaction<00:07:25.800> that<00:07:25.879> you
and kind of casual interaction that you
and kind of casual interaction that you
might<00:07:26.240> have<00:07:26.400> on<00:07:26.479> a<00:07:26.639> daily<00:07:26.960> basis<00:07:27.400> but<00:07:27.560> also<00:07:28.199> not
might have on a daily basis but also not
might have on a daily basis but also not
everyone<00:07:28.639> wants<00:07:28.840> to<00:07:28.960> live<00:07:29.080> in<00:07:29.160> a<00:07:29.400> City
everyone wants to live in a City
everyone wants to live in a City
certainly<00:07:29.840> not<00:07:29.919> a<00:07:30.039> city<00:07:30.240> like<00:07:30.400> New<00:07:30.560> York<00:07:30.759> so<00:07:30.879> we
certainly not a city like New York so we
certainly not a city like New York so we
can<00:07:31.120> think<00:07:31.280> more<00:07:31.520> about<00:07:31.800> things<00:07:32.120> like<00:07:32.360> Street
can think more about things like Street
can think more about things like Street
grids<00:07:33.039> this<00:07:33.120> is<00:07:33.199> the<00:07:33.280> neighborhood<00:07:33.639> where<00:07:33.720> I
grids this is the neighborhood where I
grids this is the neighborhood where I
grew<00:07:34.000> up<00:07:34.080> in<00:07:34.199> East<00:07:34.400> laning<00:07:34.759> Michigan<00:07:35.479> it's<00:07:35.599> a
grew up in East laning Michigan it's a
grew up in East laning Michigan it's a
traditional<00:07:36.160> Midwestern<00:07:36.759> Community<00:07:37.080> which
traditional Midwestern Community which
traditional Midwestern Community which
means<00:07:37.440> you<00:07:37.560> have<00:07:37.759> a<00:07:37.840> real<00:07:38.120> grid<00:07:38.520> you<00:07:38.680> have<00:07:38.879> real
means you have a real grid you have real
means you have a real grid you have real
neighborhoods<00:07:39.599> and<00:07:39.759> real<00:07:39.960> trees<00:07:40.240> and<00:07:40.400> real
neighborhoods and real trees and real
neighborhoods and real trees and real
streets<00:07:40.919> you<00:07:41.039> can<00:07:41.199> walk<00:07:41.400> on<00:07:41.680> and<00:07:41.800> you<00:07:41.960> interact
streets you can walk on and you interact
streets you can walk on and you interact
a<00:07:42.960> lot<00:07:43.240> with<00:07:43.360> your<00:07:43.520> neighbors<00:07:44.080> people<00:07:44.319> you
a lot with your neighbors people you
a lot with your neighbors people you
like<00:07:44.720> people<00:07:44.919> you<00:07:45.039> might<00:07:45.199> not<00:07:45.440> know<00:07:46.319> um<00:07:46.879> and<00:07:47.080> as
like people you might not know um and as
like people you might not know um and as
a<00:07:47.280> result<00:07:47.520> a<00:07:47.720> very<00:07:47.960> tolerant<00:07:48.680> Community<00:07:49.159> which
a result a very tolerant Community which
a result a very tolerant Community which
is<00:07:49.400> different<00:07:49.720> I<00:07:49.840> think<00:07:50.039> than<00:07:50.319> something<00:07:50.680> like
is different I think than something like
is different I think than something like
this<00:07:51.280> which<00:07:51.360> is<00:07:51.520> in<00:07:52.039> shamberg<00:07:52.599> Illinois<00:07:53.000> where
this which is in shamberg Illinois where
this which is in shamberg Illinois where
kind<00:07:53.240> of<00:07:53.479> every<00:07:54.080> little<00:07:54.400> set<00:07:54.560> of<00:07:54.720> houses<00:07:55.000> has
kind of every little set of houses has
kind of every little set of houses has
their<00:07:55.240> own<00:07:55.400> cool<00:07:55.680> toac<00:07:56.080> and<00:07:56.240> kind<00:07:56.360> of<00:07:56.520> drive
their own cool toac and kind of drive
their own cool toac and kind of drive
through<00:07:57.440> Starbucks<00:07:58.000> and<00:07:58.199> stuff<00:07:58.440> like<00:07:58.599> that<00:07:58.800> I
through Starbucks and stuff like that I
through Starbucks and stuff like that I
think<00:07:59.120> that<00:07:59.479> actually<00:08:00.479> this<00:08:00.720> type<00:08:00.919> of<00:08:01.080> Urban
think that actually this type of Urban
think that actually this type of Urban
Design<00:08:01.919> which<00:08:02.080> became<00:08:02.360> more<00:08:02.599> prevalent<00:08:03.319> in
Design which became more prevalent in
Design which became more prevalent in
the<00:08:03.599> 1970s<00:08:04.240> and<00:08:04.360> 1980s<00:08:04.879> I<00:08:04.919> think<00:08:05.039> there's<00:08:05.159> a
the 1970s and 1980s I think there's a
the 1970s and 1980s I think there's a
relationship<00:08:05.680> between<00:08:05.960> that<00:08:06.120> and<00:08:06.240> the
relationship between that and the
relationship between that and the
country<00:08:06.599> becoming<00:08:07.280> more<00:08:07.599> conservative<00:08:08.159> under
country becoming more conservative under
country becoming more conservative under
Ronald<00:08:08.960> Reagan<00:08:09.919> um<00:08:10.080> but<00:08:10.240> also<00:08:10.479> here's<00:08:10.879> another
Ronald Reagan um but also here's another
Ronald Reagan um but also here's another
idea<00:08:11.520> we<00:08:11.720> have<00:08:12.560> is<00:08:12.680> an<00:08:12.840> interc<00:08:13.120> Colgate
idea we have is an interc Colgate
idea we have is an interc Colgate
Exchange<00:08:14.039> program<00:08:14.759> where<00:08:14.960> you<00:08:15.120> have<00:08:15.360> students
Exchange program where you have students
Exchange program where you have students
going<00:08:16.000> from<00:08:16.159> New<00:08:16.360> York<00:08:16.639> abroad<00:08:17.159> but<00:08:17.319> frankly
going from New York abroad but frankly
going from New York abroad but frankly
there<00:08:17.840> are<00:08:18.000> enough<00:08:18.240> differences<00:08:18.639> within<00:08:18.840> the
there are enough differences within the
there are enough differences within the
country<00:08:19.240> now<00:08:19.400> where<00:08:19.520> maybe<00:08:19.680> you<00:08:19.759> can<00:08:19.879> take<00:08:20.039> a
country now where maybe you can take a
country now where maybe you can take a
bunch<00:08:20.280> of<00:08:20.440> kids<00:08:20.680> from<00:08:21.159> myu<00:08:22.159> have<00:08:22.319> them<00:08:22.440> go
bunch of kids from myu have them go
bunch of kids from myu have them go
study<00:08:22.879> for<00:08:23.120> semester<00:08:23.479> at<00:08:23.520> the<00:08:23.599> University<00:08:23.919> of
study for semester at the University of
study for semester at the University of
Arkansas<00:08:24.800> and<00:08:24.960> vice<00:08:25.199> versa<00:08:25.479> are<00:08:25.560> do<00:08:25.720> it<00:08:25.840> at<00:08:25.960> the
Arkansas and vice versa are do it at the
Arkansas and vice versa are do it at the
high<00:08:26.240> school<00:08:26.560> level<00:08:27.479> literally<00:08:27.840> there<00:08:27.960> are
high school level literally there are
high school level literally there are
people<00:08:28.759> who<00:08:29.000> might<00:08:29.319> be<00:08:29.479> in<00:08:29.560> school<00:08:29.800> in
people who might be in school in
people who might be in school in
Arkansas<00:08:30.360> or<00:08:30.440> Tennessee<00:08:30.840> and<00:08:30.960> might<00:08:31.159> never
Arkansas or Tennessee and might never
Arkansas or Tennessee and might never
interact<00:08:32.200> in<00:08:32.320> a<00:08:32.479> positive<00:08:32.880> affirmative<00:08:33.399> way
interact in a positive affirmative way
interact in a positive affirmative way
with<00:08:34.039> someone<00:08:34.440> from<00:08:35.080> um<00:08:35.240> another<00:08:35.560> part<00:08:35.880> of<00:08:36.000> the
with someone from um another part of the
with someone from um another part of the
country<00:08:36.440> or<00:08:36.640> of<00:08:36.760> another<00:08:37.000> racial<00:08:37.360> group<00:08:37.640> and<00:08:37.760> I
country or of another racial group and I
country or of another racial group and I
think<00:08:38.200> part<00:08:38.360> of<00:08:38.440> the<00:08:38.560> education<00:08:39.039> variable<00:08:39.320> we
think part of the education variable we
think part of the education variable we
talked<00:08:39.599> about<00:08:39.800> before<00:08:40.399> is<00:08:40.560> the<00:08:40.719> networking
talked about before is the networking
talked about before is the networking
experience<00:08:41.560> you<00:08:41.760> get<00:08:42.039> when<00:08:42.159> you<00:08:42.279> go<00:08:42.399> to
experience you get when you go to
experience you get when you go to
college<00:08:42.919> where<00:08:43.039> you<00:08:43.159> do<00:08:43.760> kind<00:08:43.880> of<00:08:44.120> get<00:08:44.360> a<00:08:44.519> mix
college where you do kind of get a mix
college where you do kind of get a mix
of<00:08:45.240> people<00:08:45.440> that<00:08:45.519> you<00:08:45.600> might<00:08:45.720> not<00:08:45.880> interact
of people that you might not interact
of people that you might not interact
with<00:08:46.320> otherwise<00:08:46.760> but<00:08:46.880> the<00:08:46.959> point<00:08:47.120> is<00:08:47.279> this<00:08:47.399> is
with otherwise but the point is this is
with otherwise but the point is this is
all<00:08:47.839> good<00:08:48.040> news<00:08:48.360> because<00:08:48.600> when<00:08:48.839> something<00:08:49.279> is
all good news because when something is
all good news because when something is
uh<00:08:50.839> predictable<00:08:51.839> it's<00:08:52.040> what<00:08:52.200> I<00:08:52.320> call
uh predictable it's what I call
uh predictable it's what I call
designable<00:08:53.000> we<00:08:53.080> can<00:08:53.240> start<00:08:53.440> thinking<00:08:53.600> about
designable we can start thinking about
designable we can start thinking about
solutions<00:08:54.279> to<00:08:54.480> solving<00:08:54.839> that<00:08:55.000> problem<00:08:55.240> even<00:08:55.440> a
solutions to solving that problem even a
solutions to solving that problem even a
problem<00:08:55.920> is<00:08:56.120> pernicious<00:08:56.640> and<00:08:56.880> as<00:08:57.000> intractable
problem is pernicious and as intractable
problem is pernicious and as intractable
as<00:08:58.160> racism<00:08:58.560> if<00:08:58.680> we<00:08:59.000> understand<00:08:59.440> the<00:08:59.560> root
as racism if we understand the root
as racism if we understand the root
causes<00:09:00.040> of<00:09:00.160> the<00:09:00.279> behavior<00:09:00.959> and<00:09:01.079> where<00:09:01.200> it
causes of the behavior and where it
causes of the behavior and where it
manifests<00:09:02.079> itself<00:09:02.320> and<00:09:02.440> where<00:09:02.560> it<00:09:02.680> doesn't<00:09:02.920> we
manifests itself and where it doesn't we
manifests itself and where it doesn't we
can<00:09:03.200> start<00:09:03.640> to<00:09:03.839> design<00:09:04.200> solutions<00:09:04.640> to<00:09:04.760> it<00:09:04.880> so
can start to design solutions to it so
can start to design solutions to it so
that's<00:09:05.120> all<00:09:05.240> I<00:09:05.360> have<00:09:05.440> to<00:09:05.560> say<00:09:05.800> thank<00:09:05.959> you<00:09:06.079> very
that's all I have to say thank you very
that's all I have to say thank you very
[Applause]
much
Nate Silver, Five, Thirty, Eight, FiveThirtyEast, 2008, 2008, election, Obama, Barack, Obama, election, United, States, 2008, President, Obama, race, race, American, voters, American, voters, racial, bias, bias, TED, TED, Talk, TEDEducation, TED-Ed, Ed
