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The People Who Don’t Read Books

The Atlantic

www.theatlantic.com › ideas › archive › 2023 › 01 › kanye-west-sam-bankman-fried-books-reading › 672823

During Kanye West’s spectacular plummet last fall, my friends and I would often marvel at the latest outrageous thing he’d said. And we would send around clips of what were, in hindsight, terribly suspect comments he’d previously made. One such example was “I am not a fan of books,” which Ye told an interviewer upon the publication of his own book, Thank You and You’re Welcome. “I am a proud non-reader of books,” he continued. That statement strikes me as one of the more disturbing things he’s ever said, because, unlike the patently reprehensible anti-Semitic tirades that drew the world’s scorn, his anti-book stance is shared by some other highly influential figures. It’s disturbing because it says something about not only Ye’s character but the smugly solipsistic tenor of this cultural moment.

We have never before had access to so many perspectives, ideas, and information. Much of it is fleetingly interesting but ultimately inconsequential—not to be confused with expertise, let alone wisdom. This much is widely understood and discussed. The ease with which we can know things and communicate them to one another, as well as launder success in one realm into pseudo-authority in countless others, has combined with a traditional American tendency toward anti-intellectualism and celebrity worship. Toss in a decades-long decline in the humanities, and we get our superficial culture in which even the elite will openly disparage as pointless our main repositories for the very best that has been thought.

[Yair Rosenberg: Kanye West destroys himself]

If one person managed to outdo Ye in that season of high-end self-sabotage marking the end of 2022, it was the erstwhile techno-wunderkind Sam Bankman-Fried. In an ill-conceived profile from September, published on the Sequoia Capital website, the 30-year-old SBF rails against literature of any kind, lecturing a journalist on why he would “never” read a book. “I’m very skeptical of books,” he expands. “I don’t want to say no book is ever worth reading, but I actually do believe something pretty close to that. I think, if you wrote a book, you fucked up, and it should have been a six-paragraph blog post.”

It’s a galling sentiment, every bit as ignorant and arrogant as Ye’s but even more worrisome because SBF is not an entertainer whose debut album was called The College Dropout. He is a supposedly serious young man who was celebrated in the corridors of power not only as a financial savant but also—through his highly publicized philanthropy and conspicuous association with the “effective altruism” movement—as a moral genius. The title of that profile: “Sam Bankman-Fried Has a Savior Complex—And Maybe You Should Too.”

There’s an expression in journalism: “Three is a trend.” Unfortunately, I have a third example of a prominent book skeptic. In a feature reconstructing the undoing of Sean McElwee, the 30-year-old founder of Data for Progress, New York Magazine noted, as McElwee “would put it, books are dumb—they only tell you what people want you to know.” I confess, I don’t really understand what that means, let alone why McElwee thinks it’s profound. Shortly after meeting SBF—who spent some $40 million on Democratic causes in 2020 and pledged to give a mind-boggling $1 billion before 2024—McElwee, also an effective-altruism evangelist, would become one of his trusted advisers, “telling him how best to direct a river of cash,” David Freedlander writes. “It was ‘cool as hell,’ McElwee told associates, to be advising one of the richest people in the world before he turned 30.”

“Cool” is one way to describe these confident young men’s fiscal and political interventions; abysmally ill-informed, maliciously incompetent, and morally bankrupt also come to mind. McElwee’s reputation would be ruined after the midterms, principally for producing error-ridden polling data and even allegedly pressuring at least one employee to break campaign-finance law and participate in a straw-donor scheme (a federal crime that SBF has also been charged with). All of this happened just as SBF’s crypto scam was crashing, obliterating tens of billions of dollars of other peoples’ wealth in the process.

[Read: Sam Bankman-Fried got what he wanted]

It is one thing in practice not to read books, or not to read them as much as one might wish. But it is something else entirely to despise the act in principle. Identifying as someone who categorically rejects books suggests a much larger deficiency of character. As Ye once riffed (prophetically) during a live performance, “I get my quotes from movies because I don’t read, or from, like, go figure, real life or something. Like, live real life; talk to real people; get information; ask people questions; and it was something about, ‘You either die a superhero or you live to become the villain.’” As clever as that sounds, receiving all of your information from the SBF ideal of six-paragraph blog posts, or from the movies and random conversations that Ye prefers, is as foolish as identifying as someone who chooses to eat only fast food.

Many books should not have been published, and writing one is an excruciating process full of failure. But when a book succeeds, even partially, it represents a level of concentration and refinement—a mastery of subject and style strengthened through patience and clarified in revision—that cannot be equaled. Writing a book is an extraordinarily disproportionate act: What can be consumed in a matter of hours takes years to bring to fruition. That is its virtue. And the rare patience a book still demands of a reader—those precious slow hours of deep focus—is also a virtue. One might reasonably ask just where, after all, these men have been in such a rush to get to? One might reasonably joke that the answer is either jail or obscurity.

Late in Anna Karenina, in a period of self-imposed social exile in Italy, Anna and her lover, Vronsky, are treated to a tirade on the destructive superficiality of the “free-thinking” young men—proto-disrupters, if you will—who populate the era and have been steeped in “ideas of negation.”

“In former days the free-thinker was a man who had been brought up in ideas of religion, law, and morality, and only through conflict and struggle came to free-thought,” Vronsky’s friend Golenishchev observes. “But now there has sprung up a new type of born free-thinkers who grow up without even having heard of principles of morality or of religion, of the existence of authorities.” The problem then, as Tolstoy presents it, was that such an ambitious young man would try, “as he’s no fool, to educate himself,” and so would turn to “the magazines” instead of “to the classics and theologians and tragedians and historians and philosophers, and, you know, all the intellectual work that came in his way.”

[Karen Swallow Prior: How reading makes us more human]

A Twitter follower directed me back to this passage after I complained on that social network about the outlandish contempt our own era’s brashest and most lavishly rewarded young men—they always seem to be men—aim at conventional forms of learning. And though, unlike in Tolstoy’s time, these men may also declare that you “fucked up” if you bother to read even magazines, they share with previous freethinkers a prideful refusal to believe that the past has something to offer them. Like the freethinkers that provoke Golenishchev’s scorn, these tech-obsessed autodidacts (even Ye fell victim to the cult of “engineering” our way through every human quandary) now embed themselves in a worldview in which “the old creeds do not even furnish matter for discussion,” as Golenishchev puts it.

Although the three disgraced men I’ve been describing here are extremes, I don’t think I’m exaggerating when I say that we have grown wildly estranged from genuine wisdom or the humility with which erudition tempers facile notions of invincibility. I don’t think it is a coincidence that two of these self-satisfied nonreaders are adherents of effective altruism, either—when taken to the extreme an absurdly calculating intellectual onanism that can’t survive contact with a single good novel.

When I was in my 20s and writing my first book—I know, I really fucked up there—I came across a quote I can no longer find the source of that said, essentially, “You could fill a book with all I know, but with all I don’t know, you could fill a library.” It’s a helpful visualization, perhaps the most basic and pragmatic justification for deep reading. And though correlation is not causation, I submit that we’d save ourselves an enormous amount of trouble in the future if we’d agree to a simple litmus test: Immediately disregard anyone in the business of selling a vision who proudly proclaims they hate reading.

Are Standardized Tests Racist, or Are They Anti-racist?

The Atlantic

www.theatlantic.com › science › archive › 2023 › 01 › should-college-admissions-use-standardized-test-scores › 672816

They’re making their lists, checking them twice, trying to decide who’s in and who’s not. Once again, it’s admissions season, and tensions are running high as university leaders wrestle with challenging decisions that will affect the future of their schools. Chief among those tensions, in the past few years, has been the question of whether standardized tests should be central to the process.

In 2021, the University of California system ditched the use of all standardized testing for undergraduate admissions. California State University followed suit last spring, and in November, the American Bar Association voted to abandon the LSAT requirement for admission to any of the nation’s law schools beginning in 2025. Many other schools have lately reached the same conclusion. Science magazine reports that among a sample of 50 U.S. universities, only 3 percent of Ph.D. science programs currently require applicants to submit GRE scores, compared with 84 percent four years ago. And colleges that dropped their testing requirements or made them optional in response to the pandemic are now feeling torn about whether to bring that testing back.

Proponents of these changes have long argued that standardized tests are biased against low-income students and students of color, and should not be used. The system serves to perpetuate a status quo, they say, where children whose parents are in the top 1 percent of income distribution are 77 times more likely to attend an Ivy League university than children whose parents are in the bottom quintile. But those who still endorse the tests make the mirror-image claim: Schools have been able to identify talented low-income students and students of color and give them transformative educational experiences, they argue, precisely because those students are tested.

These two perspectives—that standardized tests are a driver of inequality, and that they are a great tool to ameliorate it—are often pitted against each other in contemporary discourse. But in my view, they are not oppositional positions. Both of these things can be true at the same time: Tests can be biased against marginalized students and they can be used to help those students succeed. We often forget an important lesson about standardized tests: They, or at least their outputs, take the form of data; and data can be interpreted—and acted upon—in multiple ways. That might sound like an obvious statement, but it’s crucial to resolving this debate.

I teach a Ph.D. seminar on quantitative research methods that dives into the intricacies of data generation, interpretation, and application. One of the readings I assign —Andrea Jones-Rooy’s article “I’m a Data Scientist Who Is Skeptical About Data”—contains a passage that is relevant to our thinking about standardized tests and their use in admissions:

Data can’t say anything about an issue any more than a hammer can build a house or almond meal can make a macaron. Data is a necessary ingredient in discovery, but you need a human to select it, shape it, and then turn it into an insight.

When reviewing applications, admissions officials have to turn test scores into insights about each applicant’s potential for success at the university. But their ability to generate those insights depends on what they know about the broader data-generating process that led students to get those scores, and how the officials interpret what they know about that process. In other words, what they do with test scores—and whether they end up perpetuating or reducing inequality—depends on how they think about bias in a larger system.

First, who takes these tests is not random. Obtaining a score can be so costly—in terms of both time and money—that it’s out of reach for many students. This source of bias can be addressed, at least in part, by public policy. For example, research has found that when states implement universal testing policies in high schools, and make testing part of the regular curriculum rather than an add-on that students and parents must provide for themselves, more disadvantaged students enter college and the income gap narrows. Even if we solve that problem, though, another—admittedly harder—issue would still need to be addressed.

The second issue relates to what the tests are actually measuring. Researchers have argued about this question for decades, and continue to debate it in academic journals. To understand the tension, recall what I said earlier: Universities are trying to figure out applicants’ potential for success. Students’ ability to realize their potential depends both on what they know before they arrive on campus and on being in a supportive academic environment. The tests are supposed to measure prior knowledge, but the nature of how learning works in American society means they end up measuring some other things, too.

In the United States, we have a primary and secondary education system that is unequal because of historic and contemporary laws and policies. American schools continue to be highly segregated by race, ethnicity, and social class, and that segregation affects what students have the opportunity to learn. Well-resourced schools can afford to provide more enriching educational experiences to their students than underfunded schools can. When students take standardized tests, they answer questions based on what they’ve learned, but what they’ve learned depends on the kind of schools they were lucky (or unlucky) enough to attend.

This creates a challenge for test-makers and the universities that rely on their data. They are attempting to assess student aptitude, but the unequal nature of the learning environments in which students have been raised means that tests are also capturing the underlying disparities; that is one of the reasons test scores tend to reflect larger patterns of inequality. When admissions officers see a student with low scores, they don’t know whether that person lacked potential or has instead been deprived of educational opportunity.

So how should colleges and universities use these data, given what they know about the factors that feed into it? The answer depends on how colleges and universities view their mission and broader purpose in society.

From the start, standardized tests were meant to filter students out. A congressional report on the history of testing in American schools describes how, in the late 1800s, elite colleges and universities had become disgruntled with the quality of high-school graduates, and sought a better means of screening them. Harvard’s president first proposed a system of common entrance exams in 1890; the College Entrance Examination Board was formed 10 years later. That orientation—toward exclusion—led schools down the path of using tests to find and admit only those students who seemed likely to embody and preserve an institution’s prestigious legacy. This brought them to some pretty unsavory policies. For example, a few years ago, a spokesperson for the University of Texas at Austin admitted that the school’s adoption of standardized testing in the 1950s had come out of its concerns over the effects of Brown v. Board of Education. UT looked at the distribution of test scores, found cutoff points that would eliminate the majority of Black applicants, and then used those cutoffs to guide admissions.

[Read: The college-admissions process is completely broken]

These days universities often claim to have goals of inclusion. They talk about the value of educating not just children of the elite, but a diverse cross-section of the population. Instead of searching for and admitting students who have already had tremendous advantages and specifically excluding nearly everyone else, these schools could try to recruit and educate the kinds of students who have not had remarkable educational opportunities in the past.

A careful use of testing data could support this goal. If students’ scores indicate a need for more support in particular areas, universities might invest more educational resources into those areas. They could hire more instructors or support staff to work with low-scoring students. And if schools notice alarming patterns in the data—consistent areas where students have been insufficiently prepared—they could respond not with disgruntlement, but with leadership. They could advocate for the state to provide K–12 schools with better resources.

Such investments would be in the nation’s interest, considering that one of the functions of our education system is to prepare young people for current and future challenges. These include improving equity and innovation in science and engineering, addressing climate change and climate justice, and creating technological systems that benefit a diverse public. All of these areas benefit from diverse groups of people working together—but diverse groups cannot come together if some members never learn the skills necessary for participation.

[Read: The SAT isn’t what’s unfair]

But universities—at least the elite ones—have not traditionally pursued inclusion, through the use of standardized testing or otherwise. At the moment, research on university behavior suggests that they operate as if they were largely competing for prestige. If that’s their mission—as opposed to advancing inclusive education—then it makes sense to use test scores for exclusion. Enrolling students who score the highest helps schools optimize their marketplace metrics—that is, their ranking.

Which is to say, the tests themselves are not the problem. Most components of admissions portfolios suffer from the same biases. In terms of favoring the rich, admissions essays are even worse than standardized tests; the same goes for participation in extracurricular activities and legacy admissions. Yet all of these provide universities with usable information about the kinds of students who may arrive on campus.

None of those data speak for themselves. Historically, the people who interpret and act upon this information have conferred advantages to wealthy students. But they can make different decisions today. Whether universities continue on their exclusive trajectories or become more inclusive institutions does not depend on how their students fill in bubble sheets. Instead, schools must find the answers for themselves: What kind of business are they in, and whom do they exist to serve?