Tag Archives: google

Data snapshot: Married before

Among newlyweds in the United States, 30% have been married before. Here’s the breakdown by state (click to enlarge):

married-before-2012-marriages

 

Here’s a list of states and DC, from highest to lowest percent married before:

married-before-2012-marriages-table

And here is the Google search most highly correlated with this pattern: Kerrelyn Sparks (correlation = .83):

kerrelynsparks

The top 100 correlated searches is shot through with romance and fantasy novels: Lynsay Sands, romance series, Sherrilyn Kenyon, vampire book, fever series, Jeaniene Frost.

Coming soon: Crouching Tiger, Forbidden Vampire (and your next marriage?):

crouching

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The persistence of gender differences, Catholic furor edition

The Pope’s convention of male moral pontificators is convening to discuss family matters. One of the most important questions, as Ross Douthat has described at great length, is how to strike the right balance between laxity and rigorism on the question of divorce, to maximize Church membership by keeping divorced people (and their children) on the rolls while sending the minimum of those members to hell for adultery after they remarry.

catholic-laxity-game

(This is a great project for a sociologist interested in simulations.)

Divorce is a leading issue, but homosexuality looms. In yesterday’s New York Times, Frank Bruni writes about the American Catholic Church leadership’s obsession with homosexuality:

…Catholic officials here have elected to focus on this one issue and on a given group of people: gays and lesbians. Their moralizing is selective, bigoted and very sad. It’s also self-defeating, because it’s souring many American Catholics, a majority of whom approve of same-sex marriage, and because the workers who’ve been exiled were often exemplars of charity, mercy and other virtues as central to Catholicism as any guidelines for sex. But their hearts didn’t matter. It was all about their loins. Will the church ever get away from that?

As Bruni reports, employees at Catholic institutions are still being fired for acknowledging their homosexuality (the starting point, incidentally, of the new movie Love Is Strange, for the couple played by John Lithgow and Alfred Molina).

loveisstrange

Bruni may speak for the majority of American Catholics when he condemns the Church’s witch-hunt. But as the synod approached, a group speaking for the academic right wing of the anti-gay movement within American Christianity beseeched the Holy Father to use the occasion to “express timeless truths about marriage,” which are that cohabitation, divorce, homosexuality, and pornography are wrong.

(Aside: Academics will appreciate the funny requests for money for themselves and their movement in the letter. They want money for “cross-discipline, longitudinal research on the role of pornography and ‘no fault’ divorce in the marriage crisis,” and they want “mandatory courses [for seminarians] covering social science evidence on the benefits of marriage, threats to marriage, and the consequences of divorce and cohabitation to children and society.”)

The letter calls for opening a new front in the war on modern marriage law, using the language of religious freedom to prevent divorce (as they have urged with regard to marriage equality):

Many do not know that religious freedom is routinely violated by divorce judges who ignore or demean the views of a spouse who seeks to save a marriage, keep the children in a religious school, or prevent an abandoning spouse from exposing the children to an unmarried sexual partner.

In other words, they want to argue — in court — that divorced spouses who have new partners are violating the religious freedom of their ex-spouses. (By this logic, I guess, I could argue that them even making this argument violates my religious freedom not to live in a society where someone makes this argument.)

They would like the Pope to:

Support efforts to preserve what is right and just in existing marriage laws, to resist any changes to those laws that would further weaken the institution, and to restore legal provisions that protect marriage as a conjugal union of one man and one woman, entered into with an openness to the gift of children, and lived faithfully and permanently as the foundation of the natural family.

Regnerus himself (follow the Regnerus tag for background) is taking the long view in his new role as movement intellectual. And the logic he uses helps explain Bruni’s puzzle over the Church’s homosexuality obsession. In an interview on a Christian radio station last month, Regnerus said there are a lot of objectionable marriage laws outside the same-sex marriage debate. He went on:

It’s important for us to not sort of just get caught up in the big kahuna around same-sex marriage, and to remember, as we’ve seen with the abortion debate, incremental change, legally, can occur even after all hope seems lost. But there’s also sort of – nobody’s holding us back from creating a marriage culture in, say, the Catholic Church or broader evangelicalism. We hold ourselves back, right? I tend to think the way things are rolling at the moment, it’s not just as if same-sex marriage fell out of the sky, and was on our plate. I mean, it was paved, right? The road to there was paved in part by all sorts of poor laws around opposite-sex marriage, right? And the giving away of what we might call the sort of functional definition of marriage, visions of complementarity, you know? We have bought, hook, line, and sinker, the idea that essentially men and women are interchangeable in our marriages. And it’s hard to get away from that, but I think we’re going to have to. So in some ways we want to fashion a counter-cultural movement regardless of what the states signal.

The way I see the way he sees it, the mission is to protect and restore gender differentiation itself. That agenda, not just old-fashioned patriarchal views, underlies the anti-homosexual obsession, the opposition to marriage equality and single motherhood, and the effort to protect the male religious hierarchy.

Different genders

I object to this agenda personally on moral grounds, naturally. But my scientific opinion is that the concern is misplaced. In some broad ways, of course, gender differences have eroded — for example, as women have gained political rights and access to gainful employment. And on the rare occasions when they choose to, men can even be nurses, teachers, and stay-at-home parents. You might call all that a convergence of gender roles. But gender differentiation is alive and well.

boysactivities

In some respects the gender binary is resurgent after a brief surge of androgyny in popular culture around 1970 (which Jo Paoletti traces in the fascinating forthcoming book, Sex and Unisex). A visit to the Sociological Images Pinterest board on pointlessly gendered products helps reinforce this point — there are even gendered kids’ Bibles:

kidsbibles

Or consider the relative frequency of the phrases “toys for boys” and “toys for girls” in American English as a fraction of references to “toys for children,” from Google ngrams:

toysngrams

In fact, it seems to me that gender difference is proliferating. But it’s not just the binary difference.

One of the benefits of the high visibility of the marriage rights movement has been its exposure of gender variance. Far from a convergence around a single gender, as the traditionalist Christians fear — or the elimination of gender — instead I think we have a growing diversity of gender perspectives and identities. The very narrow interpretation of this is that “men and women are interchangeable.” The reality is that no one is.

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The number one cause of traffic fatalities

Please don’t text while driving.

Note: I have updated this post to reflect a response I received from Matt Richtel.

A data illustration follows the rant.

I don’t yet have a copy of Matt Richtel’s new book, A Deadly Wandering: A Tale of Tragedy and Redemption in the Age of Attention. Based on his Pulitzer-prize winning reporting for the New York Times, however, I’m afraid it’s unlikely to do justice to the complexity of the relationship between mobile phones and motor vehicle accidents. Worse, I fear it distracts attention from the most important cause of traffic fatalities: driving.

A bad sign

The other day Richtel tweeted a link to this old news article that claims texting causes more fatal accidents for teens than alcohol. The article says some researcher estimates “more than 3,000 annual teen deaths from texting,” but there is no reference to a study or any source for the data used to make the estimate. As I previously noted, that’s not plausible.

In fact, only 2,823 teens teens died in motor vehicle accidents in 2012 (only 2,228 of whom were vehicle occupants). So, I get 7.7 teens per day dying in motor vehicle accidents, regardless of the cause. I’m no Pulitzer-prize winning New York Times journalist, but I reckon that makes this giant factoid on Richtel’s website wrong, which doesn’t bode well for the book:

richtelpage

In fact, I suspect the 11-per-day meme comes from Mother Jones (or someone they got it from) doing the math wrong on that Newsday number of 3,000 per year and calling it “nearly a dozen” (3,000 is 8.2 per day). And if you Google around looking for this 11-per day statistic, you find sites like textinganddrivingsafety.com, which, like Richtel does in his website video, attributes the statistic to the “Institute for Highway Safety.” I think they mean the Insurance Institute for Highway Safety, which is the source I used for the 2,823 number above. (The fact that he gets the name wrong suggests he got the statistic second-hand.) IIHS has an extensive page of facts on distracted driving, which doesn’t have any fact like this (they actually express skepticism about inflated claims of cellphone effects).

After I contacted him to complain about that 11-teens-per-day statistic, Richtel pointed out that the page I linked to is run by his publisher, not him, and that he had asked them to “deal with that stat.” I now see that the page includes a footnote that says, “Statistic taken from the Insurance Institute for Highway Safety’s Fatality Facts.” I don’t think that’s true, however, since the “Fatality Facts” page for teenagers still shows 2,228 teens (passengers and drivers) killed in 2012. Richtel added in his email to me:

As I’ve written in previous writings, the cell phone industry also takes your position that fatality rates have fallen. It’s a fair question. Many safety advocates point to air bags, anti-lock brakes and wider roads — billions spent on safety — driving down accident rates (although accidents per miles driven is more complex). These advocates say that accidents would’ve fallen far faster without mobile phones and texting. And they point out that rates have fallen far faster in other countries (deaths per 100,000 drivers) that have tougher laws. In fact, the U.S. rates, they say, have fallen less far than most other countries. Thank you for your thoughtful commentary on this. I think it’s a worthy issue for conversation.

I appreciate his response. Now I’ll read the book before complaining about him any more.

The shocking truth

I generally oppose scare-mongering manipulations of data that take advantage of common ignorance. The people selling mobile-phone panic don’t dwell on the fact that the roads are getting safer and safer, and just let you go on assuming they’re getting more and more dangerous. I reviewed all that here, showing the increase in mobile phone subscriptions relative to the decline in traffic accidents, injuries, and deaths.

That doesn’t mean texting and driving isn’t dangerous. I’m sure it is. Cell phone bans may be a good idea, although the evidence that they save lives is mixed. But the overall situation is surely more complicated than TEXTING-WHILE-DRIVING EPIDEMIC suggests. The whole story doesn’t seem right — how can phones be so dangerous, and growing more and more pervasive, while accidents and injuries fall? At the very least, a powerful part of the explanation is being left out. (I wonder if phones displace other distractions, like eating and putting on makeup; or if some people drive more cautiously while they’re using their phones, to compensate for their distraction; or if distracted phone users were simply the worst drivers already.)

Beyond the general complaint about misleading people and abusing our ignorance, however, the texting scare distracts us (I know, it’s ironic) from the giant problem staring us in the face: our addiction to private vehicles itself costs thousands of lives a year (not including the environmental effects).

To illustrate this, I went through all the trouble of getting data on mobile phone subscriptions by state, to compare with state traffic fatality rates, only to find this: nothing:

cellphones traffic deaths with NEJM.xlsx

What does predict deaths? Driving. This isn’t a joke. Sometimes the obvious answer is obvious because it’s the answer:

cellphones traffic deaths with NEJM.xlsx

If you’re interested, I also put both of these variables in a regression, along with age and sex composition of the states, and the percentage of employed people who drive to work. Only the miles and drive-to-work rates were correlated with vehicle deaths. Mobile phone subscriptions had no effect at all.

Also, pickups?

Failing to find a demographic predictor that accounts for any of the variation after that explained by miles driven, I tried one more thing. I calculated each state’s deviation from the line predicted by miles driven (for example Alaska, where they only drive 6.3 thousand miles per person, is predicted to have 4.5 deaths per 100,000 but they actually have 8.1, putting that state 3.6 points above the line). Taking those numbers and pouring them into the Google correlate tool, I asked what people in those states with higher-than-expected death rates are searching for. And the leading answer is large, American pickup trucks. Among the 100 searches most correlated with this variable, 10 were about Chevy, Dodge, or Ford pickup trucks, like “2008 chevy colorado” (r = .68), shown here:

deaths-searches

I could think of several reasons why places where people are into pickup trucks have more than their predicted share of fatal accidents.

So, to sum up: texting while driving is dangerous and getting more common as driving is getting safer, but driving still kills thousands of Americans every year, making it the umbrella social problem under which texting may be one contributing factor.

I used this analogy before, and the parallel isn’t perfect, but the texting panic reminds me of the 1970s “Crying Indian” ad I used to see when I was watching Saturday morning cartoons. The ad famously pivoted from industrial pollution to littering in the climactic final seconds:

Conclusion: Keep your eye on the ball.

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Adjectives for children’s chronic conditions

In the Google ngrams database of American English, I got relative frequencies of the terms x+children, where x is a chronic malady of some sort. I tried a lot of different ones, and only included ones that topped the list at least once in the past 100 years. The most common (as suggested in the comments below) is “handicapped children,” which dominates all others from 1920 to 1995. After that, this is what I came up with, ordered by the period in which they were #1:

  • 1910s: sickly children
  • 1920s: neurotic children
  • 1930s-1950s: maladjusted children
  • 1965-1975: psychotic children
  • Mid-1970s, briefly: hyperactive children
  • Late 1970s-2000s: disabled children

After the mid-1990s, however, “children with disabilities” becomes more common than any of them. I couldn’t find anything in the old days that was as popular as disabled or hyperactive would later become. Does this imply more concern or negative attention to children?

Here is the figure. The frequency of each term is shown in relation to the total uses of “children” (click to enlarge):

childrens-chronic-terms

If you think I missed anything, to play with it yourself, or to see how I did it, here’s the link.

Another question about the same terms: are they individualized (x-child) or grouped (x-children)? Summing all the terms with child, shown as a percentage of all the terms with children (leaving out “with disabilities”), produces this figure (smoothed to a 10-year curve):

childrens-chronic-terms-individual

Individualization peaked from 1920 to 1940, when the combined individual terms outnumbered the plural terms, before sliding till 1990. Now we may be in an individualizing rebound. (Here is the link to that search if you’re interested in the coding).

I get a kick out of language history like this. But I draw no conclusions without further study. Here are some related posts:

 

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6 family correlations that will blow your mind or break your heart, and that probably aren’t spurious

The title is supposed to be funny.

Some data trends and patterns are correlated just by chance, such as the trends in the high fructose corn syrup consumption and the Florida divorce rate. But there are other correlations that, although seeming highly improbable, and you might never have predicted them, are not actually spurious. For finding those, there is Google Correlate. Out of the billions of possible correlations with the first term in these pairs – either across states or over time – each of these was in the top 100. The possibility they are non-spuriousness is reinforced by the fact that each of these lists includes other similar terms in the top 100.

Searches for “am I pregnant” and “ways to get pregnant,” by state (r=.96):

amipregnant


Searches for “divorce lawyer” and “maserati price,” by state (r=.83):

divorcelawyer


Searches for “discipline children” and “marriage problems,” by state (r=.89):

disciplinechildren


Searches for “office jobs” and “bob haircut,” by week (r=.88):

officejobs


Searches for “vasectomy cost” and “how old is johnny depp,” by state (r=.87):

vasectomycost


Searches for “man caves” and “penny from big bang theory,” by state (r=.85):

mancavesFor my whole series of Google-related posts, follow the tag.

 

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Education, not income, drives Piketty searches

Proving once again that effort is not always correlated with income, I present this critique of a Justin Wolfers blog post…

A lot of people have written reviews of Piketty. The first few pages of a Google search revealed all these (I added Heather Boushey, who wrote a good one)*:

piketty-reviewers

I believe that is diversity, because every human being is different.

Anyway, where to begin? Justin Wolfers wrote a little post, not a review, but it caught my attention. The headline of was, “Piketty’s Book on Wealth and Inequality Is More Popular in Richer States.” Distractable, that’s where I began.

Wolfers’ culminating line, “Vive la révolution!”, suited Scott Winship, who looked over Wolfer’s figures before sniping, “the buzz around the book has come mostly from rich liberal states along the Boston-to-Washington corridor.” But I think they’re both misinterpreting.

According to the Google search data Wolfers used, these were the top 10 states for “piketty” searches (Washington, D.C. excluded): Massachusetts, New York, Connecticut, Maryland, New Jersey, Illinois, Pennsylvania, Wisconsin, Oregon, California.

It looks to me that it’s actually education driving the search data. And that is a big difference. Let me explain.

Do data?

Microsoft Word tells me that the reading grade level of the publisher’s excerpt is 16.3, so it takes a 16th-grade education to read it. (Note that the “Boston-to-Washington corridor,” which was supposed to sound like a small sliver of the country, has 26% of the country’s college graduates.) So consider income versus college completion, which we can now take as a proxy for being able to read Piketty.

Wolfers writes, “I can’t tell you where Piketty has been least popular, because below a certain level of search activity, Google doesn’t release the actual numbers.” So he proceeds to leave 24 states out of his analysis (this will become important). Using per-capita income (converted to z-scores), and dropping 24 states plus the ridiculous outlier of DC, this is Wolfers’ income result (my calculations; he just showed scatter plots):

pik1

OK, leaving out the bottom half of the Piketty distribution, there is a strong positive relationship between per capita income and Piketty Google searches. Congratulations, you can have three jobs as an economist!

I kid Wolfers. But, come on! I don’t know what kind of data operation they’re running over there at the Upshot, but I would expect Wolfers to take it up a notch. First, control for college completion (percent of folks ages 25+ with a BA or more, also z-scored). See how it shows… oops:

pik2

The income effect is reduced but the education effect isn’t significant. (See how I showed you that instead of just going right to the results that support my argument?)

But go back to Wolfers leaving out the bottom half of the Piketty distribution. What’s wrong with that? I’m sure there’s some statistical way of explaining that, but just eyeballing it you’d have to say dropping those cases could cause trouble. The censored cases all have values of -.64 on the search variable. The relationship with income is weaker when the censored cases are included (shown in the red line) versus when he limits it to the top half of Piketty states (blue line):

pik-scatter1

What to do about this? An easy thing is just to include the censored cases at their values of -.64, just pretending -.64 is a legitimate value. That gives:

pik3

Now the income effect is reduced about three-quarters, and the college completion effect is three-times as large (with a t-stats to match).

But that’s not the best way to handle this. If only economists had invented a way of modeling data with censored dependent variables! Just kidding: there’s Tobin’s Tobit. This kind of model says, I see your censored dependent variable, and I crash it through the bottom of the distribution as a function of its linear relationship to your independent variables. So instead of all being -.64, it lets the censored cases be as low as they want to be, with values predicted by income and college completion. Sort of. Anyway, here’s that result:

pik4

Now income is crushed, reduced to literal insignificance. What matters is the percentage of the population that has completed college. It’s not that rich people like Piketty, it’s that college graduates do. Maybe because that’s who can read it. (I don’t know, I haven’t tried.)

What do economists read?

Of course, mine and Wolfers’ are both pretty crude analyses. There are only two reasons his was published on a major news site and mine was buried over here on an obscure sociology blog: (a) he writes for a major news site, and (b) his weak analysis lends itself to an emerging snarky narrative in which rich leftists are seen to whine about inequality but real people can’t be bothered (the main point of Winship’s review) — just reinforcing the echo-chamber model of knowledge consumption that people who are into “data-driven” news like to appear to have risen above.

For a real explanation, Wolfers (and Winship) need look no further than the rest of the Google Correlate results page to see the obvious fact that searches for Piketty are simply correlated with interest in economics. Here’s the search that is most highly correlated with searches for “piketty” across U.S. states: “world bank gdp” (r=.98):

pik-scatter2

Here are some other searches correlated with “piketty” at .94 or higher:

economic consulting firms
eu data protection
exchange rate data
gdp by sector
inflation target
journal of labor economics
london school economics
nber working paper
oecd statistics
oxford economics
panel data stata
stock market capitalization
the economist intelligence unit
us current account deficit
world bank statistics

Well, there goes your rich, liberal, “American left” theory of who’s driving the Piketty phenomenon. It might be true, but it’s not confirmed by the Google search data. My hot new theory: college educated people who are also interested in economics are disproportionately interested in Piketty.

* The reviewer pool: Mervyn King (The Telegraph), Paul Krugman (New York Review of Books), Tyler Cowen (Foreign Affairs), James K. Galbraith (Dissent), Daniel Schuchman (Wall Street Journal), Justin Fox (Harvard Business Review), Michael Tanner (National Review), John Cassidy (New Yorker), Martin Wolf (Financial Times), Jordan Weissmann (Slate), Steven Pearlstein (Washington Post), Scott Winship (National Review), Heather Boushey (Challenge)

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What do doctors, lawyers, police, and librarians Google?

Now with college teachers!

What do doctors, lawyers, police, and librarians Google? I’ll tell you. But first — if you are going to take this too seriously, please stop now.

Data and Method

Using IPUMS to extract data from the 2010-2012 American Community Survey, I count the number of people ages 25-64, currently employed, in a given occupation. I divide that by each state’s population in that age range (excluding Washington DC from all analyses). I enter those numbers into the Google Correlate tool to see which searches are most highly correlated with the distribution of each occupation across states (the tool reports the top 100 most correlated searches). In other words, these are searches that maximize the difference between, for example, high-lawyer and low-lawyer states — searches that are relatively popular where there are a lot of lawyers, and relatively unpopular where there are not a lot of lawyers.

Is this what lawyers actually Google? We can’t know. But I think so. Or maybe what people who work in law firms do, or people who live with lawyers. It’s a very sensitive tool. I made this case first in the post, Stuff White People Google. Check that out if you’re skeptical.

For each occupation, I first offer a few highly correlated searches that support the idea that the data are capturing what these people search for. Then I list some of the interesting other hits from each list.

Results

Police

Police per adult

Police per adult

The map of police per adult looks pretty random, but the list of correlated search terms doesn’t. On the list are “security training,” “tsa jobs,” “waist belt,” “weight vest,” and “air marshals.”

After all the security stuff, the only major category left in the 100 searches most correlated with police in the population is women. Specifically, their search taste includes tough actress Rachel Ticotin, body builder Denise Masino, Brazilian actress Alice Braga, actress Rosario Dawson, and, “israeli women.” (Remember, Google suppresses known porn terms, so this is just what got through the filter.) It’s a leap from this data to the statement, “police search for images of these women,” but this is who they would find if that were the case (is this a “type”?):

policewomensearches

Librarians

Librarians per adult

Librarians per adult

On the other hand, librarians. They are the smallest occupation I tried: the average state population aged 25-64 is only one tenth of one percent librarians. Yet, their distribution leaves an unmistakable trace in the Google search patterns. It especially seems to pick up terms associated with public libraries. Correlated terms include, “cataloguing,” and “quiet hours.” And then there are terms one might ask a librarian about, classic reference-desk questions such as, “which vs that,” “turn off track changes,” “think tanks,” “9/11 commission,” and “irs form 6251″; and term paper topics like Shakespeare titles or “human development report.”

What about the librarians themselves, or those close to them? Could it be they who are searching for Ann Taylor dresses, Garnet Hill free shipping, Lands End home, and textile museums? We can’t know for sure. Of course, if anyone knows how to cover their search tracks, it might be this crowd.

Doctors

Doctors per adult

Doctors per adult

You know they’re doctors, because the search terms most correlated the map include “md, mph,” “md, phd,” “nejm,” “journal medicine,” “tedmed,” and “groopman.” What else do they like? Chic Corea, Tina Fey, Larry David, Mad Men (season 1) and The West Wing, Laura Linney, John Oliver, Scrabble 2-letter words, and a bunch of Jewish stuff.

Lawyers

Lawyers per adult

Lawyers per adult

That’s the map of lawyers per adult across states. Is it really lawyers? The top 100 searches correlated with the distribution shown above include “general counsel,” and then a lot of financial terms like, “world economic forum,” “international finance corporation,” and “economist intelligence.” Then there are international travel terms, like, “rate euro dollar,” “royal air,” and “swiss embassy.”

Looks like lawyers in lawyer-land are richer and more finance-oriented than lawyers in general. On the cultural side, they search for clothing terms Massimo Dutti, Hugo Boss, and Benetton. They apparently like to eat at Zafferano in London, and drink Caipirinhas. Also, they like “vissi,” which is an aria from Tosca but also a Cypriot celebrity; I lean toward the latter, because Queen Rania is also on the list. Finally, they combine their interests in law, finance, and wealthy attractive women by searching for Debrahlee Lorenzana, the “too-hot-for-work” banker.

By popular demand: Post-secondary teachers

postsecondaryperadult

Finally, here without comment are the results for “post-secondary teachers,” which includes any college teacher who didn’t instead specify a specialty, such as “psychologist” or “economist.” (It’s hard to see on the map, but Rhode Island is the highest.) I broke the results into four rough categories:

Academic

attribution
balderdash
bmi index
body image
citation style
cpdl
critical theory
debt to equity
debt to equity ratio
democracy in america
dihedral
economic inequality
economic statistics
economists
educause
edward elgar
effect size
email forward
equals sign
exogenous
feminists
google scholar
growth rates
homomorphism
inflation rate
inflation rates
intelligibility
international study
isomorphic
journal of
journal of nutrition
marginal propensity
marginal propensity to consume
mediating
meters per second
milieu
overlaying
piano sonata
prefrontal
prefrontal cortex
profile of
psychology studies
quick ratio
rejection letter
returns to scale
routledge
scholar
subgroup
superscript
transglutaminase
ways to end a letter

Personal

1% milk
2006 olympics
best pump up songs
crib safety
easy halloween costume
graco snug
handel
ipod history
jackson superbowl
janet jackson superbowl
mastermind game
maxim online
minesweeper
most popular names
napping
national sleep foundation
olympic figure skating
olympics 2006
pairs figure skating
positioning
refereeing
sandra boynton
senior hockey
snl clips
stuff magazine
stumbled upon
toilet training
verum

Musical

1812 overture
acapella group
acapella groups
africa toto
ave verum
for the longest time
it breaks my heart
pdq bach
taylor swift

Birth control

apri
apri birth control
aviane

Conclusions

Poor social scientists, generations of them spending their lives raising a few thousand dollars to ask a few thousand people a few hundred stilted, arbitrary survey questions. Meanwhile, coursing through the cable wires below their feet, and through the air around them, billions of data bits carry so much more potential information about so many more people, in so many intimate aspects of their lives, then we could even dream of getting our hands on. Just think of the power!

RingfrodoNote: I’ve done many posts like this. Some use time series instead of geographic variation, some use terms from Google Books ngrams. Browse the series under the Google tag, or check out this selection:

 

 

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