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Source: Pew Research Center 2012b. The arrows point to the most recent years plotted in Pinker 2011 for similar questions: Blacks, 1997 (fig. 7–7); Women, 1995 (fig. 7–11); Homosexuals, 2009 (fig. 7–24).

Other surveys show the same shifts.8 Not only has the American population become more liberal, but each generational cohort is more liberal than the one born before it.9 As we will see, people tend to carry their values with them as they age, so the Millennials (those born after 1980), who are even less prejudiced than the national average, tell us which way the country is going.10

Of course one can wonder whether figure 15-1 displays a decline in prejudice or simply a decline in the social acceptability of prejudice, with fewer people willing to confess their disreputable attitudes to a pollster. The problem has long haunted social scientists, but recently the economist Seth Stephens-Davidowitz has discovered an indicator of attitudes that is the closest we’ve come to a digital truth serum.11 In the privacy of their keyboards and screens, people query Google with every curiosity, anxiety, and guilty pleasure you can imagine, together with many you can’t imagine. (Common searches include “How to make my penis bigger” and “My vagina smells like fish.”) Google has amassed big data on the strings that people search for in different months and regions (though not the identity of the searchers), together with tools for analyzing them. Stephens-Davidowitz discovered that searches for the word nigger (mostly in pursuit of racist jokes) correlate with other indicators of racial prejudice across regions, such as vote totals for Barack Obama in 2008 that were lower than expected for a Democrat.12 He suggests that these searches can serve as an unobtrusive indicator of private racism.

Let’s use them to track recent trends in racism, and while we’re at it, private sexism and homophobia as well. Well into my adolescence, jokes featuring dumb Poles, ditzy dames, and lisping, limp-wristed homosexuals were common in network television and newspaper comics. Today they are taboo in mainstream media. But do bigoted jokes remain a private indulgence, or have private attitudes changed so much that people feel offended, sullied, or bored by them? Figure 15-2 shows the results. The curves suggest that Americans are not just more abashed about confessing to prejudice than they used to be; they privately don’t find it as amusing.13 And contrary to the fear that the rise of Trump reflects (or emboldens) prejudice, the curves continue their decline through his period of notoriety in 2015–2016 and inauguration in early 2017.

Stephens-Davidowitz has pointed out to me that these curves probably underestimate the decline in prejudice because of a shift in who’s Googling. When the records began in 2004, Googlers were mostly young and urban. Older and rural people tend to be latecomers to technology, and if they are the ones who are likelier to search for the offensive terms, that would inflate the proportion in later years and conceal the extent of the decline in bigotry. Google doesn’t record the searchers’ ages or levels of education, but it does record where the searches come from. In response to my query, Stephens-Davidowitz confirmed that bigoted searches tended to come from regions with older and less-educated populations. Compared with the country as a whole, retirement communities are seven times as likely to search for “nigger jokes” and thirty times as likely to search for “fag jokes.” (“Google AdWords,” he told me apologetically, “doesn’t give data on ‘bitch jokes.’”) Stephens-Davidowitz also got his hands on a trove of search data from AOL, which, unlike Google, tracks the searches made by individuals (though not, of course, their identities). These threads confirmed that racists may be a dwindling breed: someone who searches for “nigger” is likely to search for other topics that appeal to senior citizens, such as “social security” and “Frank Sinatra.” The main exception was a sliver of teenagers who also searched for bestiality, decapitation videos, and child pornography—anything you’re not supposed to search for. But aside from these transgressive youths (and there have always been transgressive youths), private prejudice is declining with time and declining with youth, which means that we can expect it to decline still further as aging bigots cede the stage to less prejudiced cohorts.


Figure 15-2: Racist, sexist, and homophobic Web searches, US, 2004–2017

Source: Google Trends (www.google.com/trends), searches for “nigger jokes,” “bitch jokes,” and “fag jokes,” United States, 2004–2017, relative to total search volume. Data (accessed Jan. 22, 2017) are by month, expressed as a percentage of the peak month for each search term, then averaged over the months of each year, and smoothed.

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