Razib Khan One-stop-shopping for all of my content

August 6, 2014

Conservatives respect atheists less

Filed under: data,GSS — David Hume @ 2:18 am

This clip by S. E. Cupp is making the rounds. I often find Cupp to be glib, so it’s no surprise that I disagree with many of the details of what she is saying. In particular it struck me as strange to listen to her talk about how conservatives respect atheists. Atheists are held in low esteem by the American public as a whole, let alone by conservatives. The general social survey has a question, SPKATH, which states:

There are always some people whose ideas are considered bad or dangerous by other people. For instance, somebody who is against churches and religion… a. If such a person wanted to make a speech in your (city/town/community) against churches and religion, should he be allowed to speak, or not?

Here are fractions who would allow this person to speak or not not in 1972-1990:

charts

Here are fractions who would allow this person to speak or not not in 2000-2012:

charts2

Liberals tend to be more accepting of atheists making a speech than conservatives. Interestingly even in the 2000s ~20 percent of self-identified extreme liberals would still not allow an atheist speak. As opposed to ~40 percent of self-identified extreme conservatives.

Addendum: To be clear about the intent behind this post, I’m all about keeping it real. I think it is acceptable to be an atheist on the Right. A substantial proportion of libertarians are atheists. Even among non-libertarian conservatives it’s an acceptable position. But this is really mostly relevant at the elite levels pundits and policy professionals. Atheists just aren’t popular at the grass roots. There aren’t that many conservative atheists or atheist conservatives.

October 18, 2012

The general social survey: information is not free

Filed under: Data Analysis,GSS — Razib Khan @ 11:57 pm

Last week the GSS was down. I was very sad. The SDA team explains the situation:

Part of the popularity of our demonstration archive is that it is free for end users. We are happy to provide this service. It is a valuable resource for the academic community and it also publicizes the value of our SDA software. However, the flip side of providing this free service is that it does not generate any income to offset the cost of providing the infrastructure required. We receive no funding from GSS for hosting their datasets — which is often a surprise to our users. Almost all of our income comes from the fees provided by licensing the SDA software to other data archives (like ICPSR and IPUMS), and virtually all of that income goes to support the programming and technical support that we provide them. We obviously need some additional sources of revenue.

October 4, 2012

Political moderates and independents are not as smart on average

Filed under: GSS — Razib Khan @ 10:54 pm

Long time readers know that it’s trivially easy to extract information from the GSS that political moderates and independents are not as intelligent as partisans and ideologues. New readers are not always familiar. A comment:

#8 Do you have something to back up the idea that independents are less intelligent? If anything, I would’ve expected the opposite- that independents are capable of thinking for themselves instead of following the party line.

First, a quick review of the data. I used two GSS variables, PARTYID and POLVIEWS, and limited the sample to non-Hispanic whites after the year 2000. I removed those of “Other party” as well. Finally, I crossed that against vocab score results, which correlates with intelligence with a value of 0.70. It is rather obvious that middle-of-the-roaders are not as bright:

WORDSUM SCORE 0-2 3 4 5 6 7 8 9 10 Strong Dem 15 8 13 9 10 12 14 15 20 Dem 17 24 14 15 15 13 14 15 15 Lean Dem 11 9 8 11 11 11 10 18 14 Independent 26 23 23 21 18 16 14 11 11 Lean Repub 10 8 12 10 8 12 13 10 12 Repub 15 21 18 21 21 20 18 16 13 Strong Repub 6 8 11 13 18 16 16 16 15 Extreme Liberal 5 3 2 2 1 4 3 4 7 Liberal 5 11 6 6 8 12 10 16 20 Lean Liberal 6 10 13 7 10 11 12 17 14 Moderate 44 45 44 43 39 33 30 28 24 Lean Conservative 21 12 13 18 16 18 18 14 16 Conservative 14 16 16 20 22 17 22 19 15 Extreme Conservative 5 4 5 3 4 6 3 2 3

As you can see the proportion in the middle decreases as you go up in intelligence. Why? A straightforward explanation is that independents and moderates are “low information” political actors. And therefore they are likely to be less intelligent in the first place. But there is I think another ...

September 15, 2012

Intelligence challenged people and free speech

Filed under: Data Analysis,GSS,Speech — Razib Khan @ 5:23 pm

 

In the post below I took the time out to link to the GSS, as well as posting my exact queries. As payment for this consideration the first comment was absolute drivel. I understand people have political opinions, but I’m not too interested in your opinions. You may be interested in your opinions, but I’d rather have more data. Most people don’t know enough for me to have interest in their opinions (most != all, many readers do have opinions in their specialties which I seek out).

I was trying to make a point that anger and even violence in reaction to actions which offend are actually comprehensible as the modal human response. The community reacts to punish those who violate taboos. The taboos may differ, but the response to the action of violation is normal and natural. A primary issue that needs to be considered is that taboos differ from society to society, so one is often not conscious of the act of violation (e.g., if you show the bottom of your shoes to people when you sit down, that’s an offensive act in some societies).

An implication here is that American norms of free speech near absolutism, ...

Who tolerates anti-American preaching from Muslims?

Filed under: Anthroplogy,geography,GSS — Razib Khan @ 9:45 am

Obviously the news over the past week has been filled with the events in the Middle East, and the broader Muslim world, in reaction to an anti-Muslim film. I think the most eloquent commentary is from The Onion (NSFW!!!), No One Murdered Because Of This Image. That being said, there are some serious broader issues here. A friend of mine who lives in India (he is Indian American, though raised for several years in India, so not totally unfamiliar with the culture) has expressed to me his frustration with having to defend American liberalism in a society where American liberalism is an abstraction, rather than concrete. The frustration has to do with the fundamental divergence in basic values. For example, his interlocutors have argued to him (he is a practicing Christian of libertarian political orientation) that if someone committed an act of blasphemy against his faith of course he would react in anger and violence. And yet of course the clause “and” is false, though he is greeted with skepticism when he asserts he wouldn’t react violently. As a matter of fact I can attest to the reality that he wouldn’t react angrily necessarily, because in interactions where I’ve ...

August 21, 2012

Who rejects right to abortion in cases of rape?

Filed under: abortion,Data Analysis,GSS,Todd Akin — Razib Khan @ 10:56 pm

It’s basically impossible to avoid hearing about Todd Akin right now. My Twitter and Facebook feeds are kind of swamped. But it did make me wonder: what percentage of Americans reject abortion in cases of rape and incest? The GSS has a handy variable, ABRAPE, which asks respondents about the possibility of abortion if a woman gets pregnant as a result of rape (let’s stipulate that it’s possible to get pregnant as a result of rape!). I also limited the sample to the year 2000 and later, and non-Hispanic whites (to clear out confounds). Demographic breakdowns below….

Before people start complaining, the scale below goes from 0% to 50%, NOT 0% to 100%!

 

August 20, 2012

More GSS, less speculation!

Filed under: Data Analysis,GSS — Razib Khan @ 10:32 pm

Long time readers know that one of my pet hobby-horses is to try and convince more pundits that they should use the GSS. Opinions based on opinions may be fun, but opinions based on facts may be useful. In general my appeals have fallen on deaf ears. But today I notice that Will Saletan is using GSS data to discussion the Todd Akin case. You may not agree with Saletan’s take on the results, but at least he bothered to generate some results.

August 19, 2012

More racist: white liberals or white conservatives?

Filed under: Data Analysis,GSS,Interracial,Racism — Razib Khan @ 10:02 pm

Reihan Salam has a post up on the alignment of racism and political orientation. He begins:

Recently, Chris Hayes, host of MSNBC’s UP with Chris Hayes, made the following observation:

It is undeniably the case that racist Americans are almost entirely in one political coalition and not the other.

Chris is a good friend of mine, and we grew up in the same milieu. I can attest to the fact that the view he expressed is very widely held in the circles in which we both travel….

Salam then links to Alex Tabarrok, who uses party identification data to indicate that actually racism is split between the two groups, while John Sides suggests that there is a definite lean toward Republicans being more racist, using a few indicator variables. Overall I think Sides is about right, all things equal conservatives are more racist than liberals. At least in the modern context of the two ideologies.* I say conservative/liberal rather than Republican/Democrat, because my experience with the GSS data set is that ideology is a more powerful predictor of social views among whites. This holds true with the variables which Tabarrok and Sides query from what I can see; the gap between ...

June 24, 2012

Higher vocabulary ~ higher income

Filed under: data,Data Analysis,GSS,Income,IQ — Razib Khan @ 7:54 pm

Prompted by a comment below I was curious as to the correlation between intelligence and income. To indicate intelligence I used the GSS’s WORDSUM variable, which has a ~0.70 correlation with IQ. For income, I used REALINC, which is indexed to 1986 values (so it is inflation adjusted) and aggregates the household income. Finally, I limited my sample to non-Hispanic whites over the age of 30 (for what it’s worth, this choice also limited the data set to respondents from the year 2000 and later).

The results don’t get at the commenter’s assertions, because 10 out of 10 on WORDSUM does not imply that you’re that smart really. But the trendline is suggestive. Note that aggregated 0-4 because the sample size at the lower values is small indeed.

April 13, 2012

Verbal intelligence by demographic

Filed under: Data Analysis,Demographics,GSS,Intelligence,WORDSUM — Razib Khan @ 7:43 pm

A few years ago I put up a post, WORDSUM & IQ & the correlation, as a “reference” post. Basically if anyone objected to using WORDSUM, a variable in the General Social Survey, then I would point to that post and observe that the correlation between WORDSUM and general intelligence is 0.71. That makes sense, since WORDSUM is a vocabulary test, and verbal fluency is well correlated with intelligence.

But I realized over the years I’ve posted many posts using the GSS and WORDSUM, but never explicitly laid out the distribution of WORDSUM scores, which range from 0 (0 out of 10) to 10 (10 out of 10). I’ve used categories like “stupid, interval 0-4,” but often only mentioned the percentiles in the comments after prompting from a reader. This post is to fix that problem forever, and will serve as a reference for the future.

First, please keep in mind that I limited the sample to the year 2000 and later. The N is ~7,000, but far lower for some of variables crossed. Therefore, I invite you to replicate my results. After the charts I will list all the variables, so if you care you should be able to ...

March 26, 2012

How income, class, religion, etc. relate to political party

Filed under: data,Data Analysis,Demographics,GSS,Politics — Razib Khan @ 9:11 pm

Update: There was a major coding error. I’ve rerun the analysis. No qualitative change.

As is often the case a 10 minute post using the General Social Survey is getting a lot of attention. Apparently circa 1997 web interfaces are so intimidating to people that extracting a little data goes a long way. Instead of talking and commenting I thought as an exercise I would go further, and also be precise about my methodology so that people could replicate it (hint: this is a chance for readers to follow up and figure something out on their own, instead of tossing out an opinion I don’t care about).

 

Just like below I limited the sample to non-Hispanic whites after the year 2000. Here’s how I did it: YEAR(2000-*), RACE(1), HISPANIC(1)

Next I want to compare income, with 1986 values as a base, with party identification. To increase sample sizes I combined all Democrats and Republicans into one class; the social science points to the reality that the vast majority of independents who “lean” in one direction are actually usually reliable voters for that party. So I feel no guilt about this. I suppose Americans simply like the conceit of being independent? I know I do. ...

December 30, 2011

Vocab by ethnicity, region, and education

Filed under: data,Data Analysis,GSS,I.Q.,Regionalism — Razib Khan @ 12:58 pm

A questioner below was curious if vocabulary test differences by ethnic and region persist across income. There’s a problem with this. First, the INCOME variable isn’t very fine-grained (there is a catchall $30,000 or greater category). Second, it doesn’t seem to control for inflation. But, there is a variable, DEGREE, which asks the highest level of education attained. I used this to create a “college” and “non-college” category (i.e., do you have a bachelor’s degree or not). Because of sample size considerations I removed some of the ethnic groups, but replicated the earlier analysis.

Below are two tables. One shows the mean vocab score for region and ethnicity (for whites) for those without college educations, and another shows those with college educations. I decided to generate a correlation over the two rows, even though it sure isn’t useful as a quantitative statistical measure because of the small number of data points. Rather, I just wanted a summary of the qualitative result. The short answer is that the average vocabulary difference seems to persist across educational levels (the exception here is the “German” ethnicity).

Mean WORDSUM Score by Ethnicity and Region
No college education

Northeast

Midwest

South

West
German 6.05 5.81 5.79 6.11
Eastern Europe 6.17 6.16 6.18 6.29
Scandinavian 6.35 5.97 6.23 6.35
British 6.6 6.21 6.02 6.57
Irish 6.66 5.83 5.69 6.58
Italian 6 5.85 5.8 6.18

College educated

Northeast

Midwest

South

West
German 8.03 7.48 7.63 7.33
Eastern Europe 7.7 7.37 7.5 8.09
Scandinavian 8.5 7.82 7.86 7.92
British 8.44 8.06 7.76 7.95
Irish 8.03 7.79 7.39 7.59
Italian 7.45 7.75 7.6 7.87

Correlation of college and non-college
German 0.08
Eastern Europe 0.92
Scandinavian 0.57
British 0.70
Irish 0.57
Italian 0.40

December 29, 2011

Vocabulary score by race, ethnicity, and region

Filed under: Data Analysis,Demographics,GSS,WORDSUM — Razib Khan @ 10:22 pm

Mike the Mad Biologist has a post up, A Modest Proposal: Alabama Whites Are Genetically Inferior to Massachusetts Whites (FOR REALZ!). The post is obviously tongue-in-cheek, but it’s actually an interesting question: what’s the difference between whites in various regions of the United States? I’ve looked at this before, but I thought I’d revisit it for new readers.

First, I use the General Social Survey. Second, I use the WORDSUM variable, a 10 question vocabulary test which has a correlation of 0.70 with general intelligence. My curiosity is about differences across white ethnic groups by region. To do this I use the ETHNIC variable, which asks respondents where their ancestors came from by nation. I omitted some nations because of small sample size, and amalgamated others.

Here are my amalgamations:

German = Austria, Germany, Switzerland

French = French Canada, France

Eastern Europe = Lithuania, Poland, Hungary, Yugoslavia, Russia, Czechaslovakia (many were asked before 1992), Romania

Scandinavian = Denmark, Norway, Sweden, Finland (yes, I know that Finland is not part of Scandinavia, Jaakkeli!)

British = England, Wales, Scotland

Next we need to break it down by region. The REGION variable uses the Census divisions. You can see them to the left. I combined a few of these to create the following classes:

Northeast = New England, Middle Atlantic

Midwest = E North Central, W North Central

South = W S Central, E S Central, South Atlantic

West = Pacific, Mountain

The key method I used is to look for mean vocabulary test scores by ethnicity and religion. I also later broke down some of these ethnic groups by religion. Finally, all bar plots have 95 percent confidence intervals. This should give you a sense of the sample sizes for each combination.

First let’s break it down by race/ethnicity and compare it by region to get a reference:


Next, the main course:

Finally, let’s separate by religion for Germans and Eastern Europeans:

I include the last plot because these reports of nationality have to be taken with a consideration for the structure they may mask. People whose ancestors from Poland in the United States fall into two large categories: people of Jewish heritage whose identity as ethnic Poles was contested (recall that Jews often spoke Yiddish as their first language, a Germanic language), and Roman Catholic Slavs. I suspect many of those in the “None” category are also Jews by culture, if not religion.

Second: there is a tendency of people of all ethnic groups to have lower vocabulary scores if they are from the South or Midwest. This tendency is in many cases outside of the 95 percent confidence interval. It’s especially striking in the three groups with huge samples sizes in all regions: Germans, Irish, and British. Irish here includes both Scots-Irish and those of Irish Catholic background. Not only are the sample sizes for these groups large, but the roots of these groups in some of these regions go rather far back. In particular, the division between the people of British ancestry goes back centuries in the North vs. South divide.

How to understand this? There are a lot of complicating factors.  But as outlined in Albion’s Seed and The Cousins’ Wars the divisions between the Anglo-Celtic folkways runs deep and long. If a time traveler from the 18th century arrived in the United States today and were asked which region was the heart of intellectual ferment they would correctly guess New England. Early Puritan New England was the first universal-literacy society in the world. This was to some extent a matter of conscious planning. The leaders of the New England colonies enforced limitations upon who could emigrate to their dominion. Religious exclusions and persecutions in this region are well known, but there was also a policy of rejecting the settlement of those who were perceived to be possible burdens upon the community. New England then selected for a middle class migration out of East Anglia and the port towns of southwest England. But the fathers of the early colony also rejected the transfer of the privileges of the blood nobility from the motherland, thereby throwing up a barrier to the migration of the aristocracy.

In contrast the lowland South received a more representative selection of the British class strata. The younger sons of the British nobility and self-styled gentlemen arrived to make their mark, as did those who became indentured servants and even slaves. A class society on the model of southwestern England recapitulated itself in this region. As for the uplands, what became Appalachia, an influx of Scots-Irish came to dominate the scene by the mid of the 18th century, disembarking in Philadelphia, and pushing down the spine of the high country down to the Deep South.

Conflicts between these “Anglo” groups framed the terms of debate over the 18th and 19th centuries. They were to some extent at the root of the Age of Sectionalism. Today because of the salience of race, and the prominence of the later wave of migration in the late 19th and early 20th century which remained vibrant in living memory for mod, these early divisions have moved out of sight. But they still remain. The difference between Germans in Texas and the Anglos of Southern extraction remains to this day, but note that Germans exhibit the same regional differences in vocabulary score as Anglos. Why? This may be a case where the original cultural substratum has an outsized impact (the dialect of eastern New England, made famous by the Catholic Irish of Boston, is descended from East Anglian English!).

Of course there might be a genetic difference. Intelligence is a quantitative trait, so it would be trivial to generate two populations which are genetically similar, but very different in trait value, simply through selection. In the 1630s ~20 thousands Puritans settled New England. For various reasons there was very little migration over the next century and a half. By 1780 New England’s population was 700,000, almost all through natural increase (not only was New England the world’s first universal literacy society, but its fertility was the highest in the late 17th century).

Finally, there’s the issue of disease and pathogen load. Endemic hookworm infection does seem likely to have made Southerners, of both races, relatively indolent and lethargic in comparison to Northerners. Who knows what pathogens simply fall below our radar?

Overall I think that a more fine-grained and detailed exploration of these topics is warranted. Our public discussion is too coarse, and data-thin.

December 27, 2011

Would you have your fetus genetically tested?

Filed under: Demographics,Genetic Testing,Genetics,GSS,Personal genomics — Razib Khan @ 12:22 pm

There’s a variable in the GSS, GENESELF, which asks:

Today, tests are being developed that make it possible to detect serious genetic defects before a baby is born. But so far, it is impossible either to treat or to correct most of them. If (you/your partner) were pregnant, would you want (her) to have a test to find out if the baby has any serious genetic defects?

This is relevant today especially. First, the technology is getting better and better. Second, couples are waiting longer to start families. Unfortunately this question was only asked in 1990, 1996, and 2004. But on the positive side the sample sizes were large.

I decided to combine 1990 and 1996 into one class. Also, I combined those who were very liberal with liberals, and did the same for conservatives. For political party ideology I lumped strong to weak identifiers. For intelligence I used WORDSUM. 0-4 were “dull,” 5-7 “average,” and 8-10 “smart.” For some variables there weren’t results for the 1990s.

The biggest surprise for me is that there wasn’t much difference between the 1990s and 2004. The second biggest surprise was that the differences between demographics were somewhat smaller than I’d expected, and often nonexistent. Below is a barplot and table with the results.

 

Yes to fetal genetic tests by demographic
Demographic 1990s 2004
Male 69 67
Female 68 65
White 67 65
Black 79 72
Hispanic * 71
Less than HS 72 67
High School 68 65
Junior College 64 69
Bachelor 71 65
Graduate 69 71
Protestant 69 65
Catholic 62 63
Jewish 95 78
No Religion 78 69
Dull 74 71
Average 65 65
Smart 71 66
Liberal 80 77
Slight Liberal 70 64
Moderate 70 69
Slight Conservative 68 66
Conservative 59 52
Democrat 73 74
Independent 69 67
Republican 65 58
Yes to abortion on demand 80 75
No to abortion on demand 61 56
Bible Word of God 63 61
Bible Inspired Word 68 65
Bible Book of Fables 82 75
Evolution definitely true * 81
Evolution probably true * 70
Evolution probably not true * 67
Evolution definitely not true * 58

 

 

 

 

November 26, 2011

August 27, 2011

The liberal religious and astrology

Filed under: Astrology,Data Analysis,GSS — Razib Khan @ 11:51 pm

In the comments below a weird fact came to light: it does not seem that liberal/Democrat reduced skepticism toward astrology vs. conservatives/Republicans can be explained just by a secularization, and therefore diminished Christian orthodoxy. There are two reasons for this. First, on a priori grounds most people are religious, liberals and conservatives. The difference between the religious and irreligious on this issue would have to be rather large, and the different apportionment across ideology to be striking, for it to drive the division which seems so robust. Second, within the results it seems rather clear that the gap between liberals and conservatives is most evident amongst the religious of both! In other words, secular liberals and conservatives tend to agree (and be skeptical) in relation to astrology. While religious conservatives are skeptical of astrology, as one would expect from orthodox conservative Christians, religious liberals are not. The table below shows some results.

Astrology is…. Very scientific Sort of scientific Not at all scientific Protestant Liberal 5 31 64 Conservative 5 18 77 Catholic Liberal 3 35 62 Conservative 6 25 69 No religion Liberal 6 22 72 Conservative 9 31 60 Atheist & agnostic Liberal 7 19 74 Conservative 3 22 75 Believe in higher power Liberal 3 26 71 Conservative 3 31 66 Believe in god sometimes Liberal 1 28 71 Conservative 19 18 63 Believe in god with doubts Liberal 3 29 68 Conservative 3 20 77 Know god exists Liberal 6 35 59 Conservative 6 21 73 Southern Baptist Liberal 11 33 56 Conservative 7 16 77 United Methodist Liberal 4 13 83 Conservative 4 23 73 Episcopal Liberal 4 23 72 Conservative 5 16 80 Bible is Word of God Liberal 8 41 51 Conservative 6 22 72 Bible is Inspired Word of God Liberal 5 28 67 Conservative 5 21 74 Bible is Book of Fables Liberal 3 23 73 Conservative 8 21 71 Humans developed from animals Liberal 4 25 71 Conservative 8 25 67 Humans did not develop from animals Liberal 7 37 56 Conservative 5 16 79

Observe the huge ...

August 26, 2011

Republicans more skeptical of astrology than Democrats

Filed under: Astrology,Data Analysis,GSS — Razib Khan @ 9:30 pm

Someone on twitter was curious about GOP attitudes toward astrology. I left the party breakdown out of the previous post because ideology accounts for most party differences. In other words, conservatives are more skeptical of astrology than liberals, and Republicans more than Democrats, but the second result just seems to emerge from the Republican’s greater conservatism.

Astrology very scientific Astrology somewhat scientific Astrology not scientific Strong Democrat 6 31 63 Democrat 7 30 63 Lean Democrat 4 28 67 Independent 7 37 57 Lean Republican 3 26 71 Republican 4 21 75 Strong Republican 4 20 76

Why are independents so gullible? It probably has to do with their lower average intelligence (this goes for moderates too). So I simply limited the sample to those with at least bachelor’s degrees to control for intelligence:

Limited to those with college degrees or more Astrology very scientific Astrology somewhat scientific Astrology not scientific Strong Democrat 3 21 76 Democrat 4 17 79 Lean Democrat 2 21 78 Independent 4 22 75 Lean Republican 1 9 90 Republican 0 11 88 Strong Republican 1 10 89

The distinctiveness of independents diminishes somewhat, but Democrats with college degrees or more remain more gullible than Republicans with the same (the difference remains if you control for sex by the way).

The less intelligent more likely to accept astrology as scientific

Filed under: Astrology,GSS,Social Science — Razib Khan @ 12:00 am

Over at Culture of Science Sheril Kirshenbaum posts a figure from the NSF displaying what proportion of those without high school educations and those with college educations accept the scientific status of astrology. It’s pretty clear to me that this is the ASTROSCI variable from the General Social Survey. It asks:

Would you say that astrology is very scientific, sort of scientific, or not at all scientific?

It’s also nice that this question was only asked in the latter half of the 2000s. So it’s timely in terms of demographic breakdowns. Speaking of which, here are a whole host of classes and their attitudes toward astrology’s scientific status:

Very scientific Sort of scientific Not at all scientific Male 5 26 69 Female 5 30 65 Age 18-34 8 34 58 Age 35-64 4 26 70 Age 65- 4 24 72 White 4 25 72 Black 11 38 51 Hispanic 8 40 51 Extreme liberal 7 31 62 Liberal 5 30 65 Slightly iberal 4 28 68 Moderate 5 34 61 Slightly conservative 5 25 70 Conservative 6 19 75 Extreme conservative 6 18 76 No high school diploma 9 41 50 High school diploma 7 32 62 Junior college 4 28 68 Bachelor 2 17 80 Graduate degree 1 13 85 Atheist and agnostic 6 23 71 Higher power 4 28 68 Believes in god sometimes 7 24 70 Believe in god, but with doubts 4 27 69 Know god exists 6 30 65 Protestant 5 27 68 Catholic 5 31 64 Jewish 6 16 78 No religion 7 28 65 Bible word of god 6 31 64 Bible inspired word of god 5 28 67 Bible book of fables 6 25 70 Human beings developed from animals 6 28 66 Human beings don’t develop from animals 5 26 69

But what about intelligence? To look at that I used the WORDSUM variable, which is a 10-question vocabulary test which has a 0.70 correlation with IQ. Below are the attitudes toward astrology by WORDSUM score (0 = 0 ...

August 19, 2011

Smart people accept evolution

Filed under: creationism,Data Analysis,Evolution,GSS — Razib Khan @ 11:24 am

At Culture of Science there’s a little discussion about whether acceptance of evolution indicates intelligence. Looking at the GSS data there doesn’t seem to be a strong causal relationship when you control for other variables. But there is a correlation. That correlation can be explained by the fact that, for example, people who are Biblical literalists tend to be duller than those who are not, and Biblical literalists don’t accept evolution (in fact, I’ve seen evidence that very intelligence Biblical literalists are more Creationist than their duller co-religionists, probably because they’re more coherent in their beliefs).

With that, I’ll leave you with a screenshot of the results for WORDSUM, a 10 word vocabulary test, against acceptance or rejection of human evolution from other organisms (note that the numbers below the proportions are weighted sample sizes):


The real divergence is at the super high end of intelligence.

August 6, 2011

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