5  Inequality

Why are some people consistently better off, and is that “natural”?

NoteLearning Objectives
  • Contrast structural and individual explanations of social outcomes.
  • Explain cumulative advantage and opportunity hoarding.
  • Describe intersectionality and why single-axis analyses miss the worst harms.

When you explain why someone succeeded or failed, which verbs do you reach for? If you are like most people, you reach for verbs about the person— she worked hard, he didn’t apply himself— rather than verbs about the system she was working inside. This chapter is about how much that reflex hides, and what it costs.

5.1 Three Dimensions of Position

Max Weber argued that social position is not one thing but three, and that the three do not always travel together (Weber 1946). Class is economic position. Status is prestige and honor. Power is the capacity to realize one’s will. A staff engineer at a large company may have high class but limited power; a founder has power; a content moderator has neither. The mismatches matter, because people assume that money, respect, and influence are interchangeable, and they are not.

The differences between positions are not just individual; they are social and, at the level of whole countries, measurable. Richard Wilkinson and Kate Pickett compared rich societies and found that more unequal ones do worse on nearly every social indicator— health, violence, trust, education, even mental illness— regardless of how wealthy the society is overall (Wilkinson and Pickett 2011). Their explanation was status anxiety: in an unequal society, people spend their lives comparing themselves to those above them, and the anxiety that produces is itself destructive. Inequality is not only a distribution of resources; it is a distribution of stress.

5.2 Structure and the Individual

The fundamental attribution error is the tendency to explain other people’s outcomes by their traits and our own by circumstance. Applied to society, it becomes the default explanation for inequality: the successful are talented and hardworking, the unsuccessful are not. The evidence points the other way.

The first mechanism is cumulative advantage, sometimes called the Matthew effect: advantage begets advantage. A wealthy school, a first internship, seed funding, an early follower count— each early advantage compounds, so that small differences at the start become large differences over a lifetime. The second is opportunity hoarding (Tilly 1998): groups use credentials, networks, and gatekeeping to keep advantages for themselves while appearing to reward merit. The third is intersectionality (Crenshaw 1989): overlapping systems of disadvantage interact rather than simply add, so that a person facing racism and sexism experiences something worse than the sum of the two, and a system designed to detect one kind of bias misses the people caught in both.

The discrimination is concrete and, where tested, consistent. In audit studies, researchers send identical resumes to employers, varying only the name at the top, and names read as white consistently receive more callbacks (Rivera 2015). Lauren Rivera found that interviewers at elite firms described candidates as “polished” or “rough around the edges” in ways that tracked class background rather than competence. Amazon’s internal recruiting tool, abandoned in 2018, penalized resumes containing the word “women’s.” And women’s share of computing was higher in the 1980s than it is today, which directly contradicts the “pipeline” explanation that blames the shortage on a lack of interested women.

Gary Becker predicted in 1957 that competition would eliminate discrimination, because a firm that ignored talent would be outcompeted (Becker 1971). The prediction was falsified. Discrimination persists in competitive markets because favored-group workers benefit from it, which is what Lyndon Johnson meant when he said that if you can convince the lowest white man he is better than the best Black man, he won’t notice you are picking his pocket.

5.3 The Ledger Beneath the Surface

The categories we treat as natural facts about people were mostly built by someone, for a reason. In 1950, South Africa’s apartheid government created the Race Classification Board, whose examiners used the “pencil test”— if a pencil inserted into someone’s hair stayed in place, the person might be classified as “Coloured” rather than “White.” Siblings were assigned to different categories with different legal rights and different permitted neighborhoods. The US “Hispanic” category is younger still: it does not appear in census data before 1970, when the Nixon administration created it to aggregate Spanish-speaking populations for federal programs (Omi and Winant 2015).

These categories leave a measurable trace. Neighborhoods that were redlined in the twentieth century still show lower average credit scores today, not because their residents are less creditworthy, but because they were systematically excluded from the wealth-building mechanisms that credit history reflects. Credit bureaus sit at the center of this arrangement. They collect financial data about hundreds of millions of people without consent, profit whether the data is accurate or not, and in the 2017 Equifax breach exposed the personal information of roughly 147 million people while facing no criminal charges. Accuracy and fairness are not the same thing: a score that accurately summarizes a history of exclusion still perpetuates it.

5.4 Poverty Is a Tax on Cognition

Sendhil Mullainathan and Eldar Shafir found that scarcity depletes cognitive capacity the way sleep deprivation does (Mullainathan and Shafir 2013). Managing an unpredictable income, tracking which bills are overdue, deciding whether the bulk item is worth the storage cost— these consume the cognitive bandwidth that a person then does not have for navigating bureaucracies or resisting temptation. Peggy McIntosh called the flip side an “invisible knapsack”: a set of advantages so routine that those who carry them do not experience them as advantages at all (McIntosh 1989). You do not notice that your name gets callbacks, that your neighborhood has a library, or that the official treats you as a legitimate claimant rather than a probable fraud.

This is why “just try harder” is not a serious explanation. When Britain’s Universal Credit system told claimants to “just go to the library” to apply online, the suggestion ignored that the library required a membership card, that the card required proof of address, and that the application timed out and lost your work if you did not finish it in a single session. The word “just” was doing an enormous amount of lifting. Each “just” solution transfers the cost of a structural failure onto the person least able to bear it (Eubanks 2018).

5.5 Meritocracy, Examined

The word “meritocracy” was coined by Michael Young in a 1958 satire (Young 1958). His dystopia imagined a society that perfected the measurement of talent and sorted people ruthlessly by it, producing a ruling class convinced of its own deservingness. The word was then adopted as a term of praise, and Young spent the rest of his life pointing out the confusion.

The claim does not survive contact with the data. Organizations that explicitly adopt merit-based pay principles show larger gender pay gaps than those that do not (Castilla and Benard 2010). The mechanism appears to be moral licensing: people who believe the system is already fair feel less need to monitor their own judgments for bias. Believing in meritocracy also predicts harsher judgment of people who fail— if outcomes are deserved, then failure is evidence of personal deficiency— which conveniently shifts responsibility from structures to individuals.

The most instructive case is Andrew Carnegie. He accumulated his fortune partly by suppressing wages and, in 1892, hiring Pinkerton detectives to break a strike at his Homestead plant that left ten workers dead. He spent his final decades funding libraries, universities, and concert halls, on his terms: cities had to provide the land and commit to maintaining the buildings in perpetuity. The more consequential precedent was the Flexner Report of 1910, commissioned by the Carnegie Foundation. It raised medical training standards, and it also closed most of the schools that had trained Black physicians or admitted women in significant numbers (Reich 2018). Both are opportunity hoarding wearing a merit badge. Mobility between generations is far lower and stickier than the “American Dream” story implies, so “meritocracy” is best treated not as an assumption but as an empirical claim to test.

5.6 The Gendered Economy

On October 24, 1975, ninety percent of Icelandic women refused to work— at paid jobs, in the home, or anywhere else. Schools closed, factories shut down, flights were cancelled, and the economy of Iceland effectively stopped. The women had made visible something the national accounts refuse to see: the work that has no price.

Marilyn Waring spent years documenting the decisions embedded in GDP (Waring 1988). A woman who cooks dinner for her family contributes nothing to GDP, but if she hires a cook and goes out to work herself, GDP rises twice— once for her wages and once for the cook’s. The system counts the second arrangement as more productive, a choice made by people who had mostly never performed the work in question.

The sociologist Arlie Hochschild found that women in dual-income couples were coming home and working a second shift of domestic labor (Hochschild and Machung 1989). Over the course of a year, the women she studied worked roughly a full additional month compared to their partners, and then explained the inequality away with “family myths”— stories about why the division made sense in their particular case. The rationalization is the key point: exploitation is most durable when those experiencing it explain it to themselves as freedom.

The platform economy has reproduced the structure with new interfaces. Apps coordinating cleaning, childcare, and elder care present themselves as markets connecting independent contractors with clients, but what they actually do is take informal, feminized labor that was already undervalued and formalize it while keeping the wages and protections of the informal economy. The worker bears the risk, the platform takes the margin, and the devaluation is the same one the national accounts have performed for decades.

NoteTakeaway

Inequality is not a sorting of individuals by merit; it is the accumulated effect of rules, networks, and compounding advantage. Meritocracy is a claim to test, and often a story that legitimizes inheritance.

5.7 Exercises

Explain the gap.
Take a real inequality (who gets into a selective program, who receives venture funding). Produce two explanations (one individual, one structural) then discuss which better fits the evidence and why the individual one is the cultural default.
Three-dimension map.
For four tech roles (e.g., startup founder, staff engineer, content moderator, gig worker), rate class/status/power as high or low. Discuss the mismatches (e.g., high status but low power; high income but low security).
Cumulative advantage.
Trace how one early advantage like a wealthy school, a first internship, seed funding, or an early follower count compounds across a career. Identify the points where policy or design could interrupt the compounding.
Opportunity-hoarding audit.
Find a credential, interview process, or referral network that functions to hoard opportunity. Distinguish its stated purpose from its actual effect.
Intersectional case.
Analyze how a policy or product harms people differently across overlapping identities (a facial-recognition system, a hiring algorithm, an automated welfare screen). Why does a single-axis analysis miss the worst harms?
Merit audit.
Take a supposedly merit-based process (a hiring funnel, an awards program, a promotion ladder). Check whether it produces the outcomes meritocracy predicts, and identify where credentials and networks do the actual sorting.
Bandwidth check.
List five decisions you make easily when rested that become hard when you are tired or under financial pressure. What would a product look like if it assumed its users were often in that state?