7  Regulation

How does a society decide what counts as harm, and what should it do about the harms it recognizes?

NoteLearning Objectives

• Explain why what gets labeled “harmful” and therefore gets regulated does not track a neutral measurement of damage.
• Contrast the rare-dramatic-attributable model of harm with the diffuse-pollution model, and say which one describes social media and AI.
• Distinguish a moral panic from an evidence-backed harm, and say what each implies for regulation.
• Name the instruments by which harm is regulated and the failure mode of capture.

Which is more dangerous: alcohol or cannabis? Most people answer on the basis of what is legal, and the law does not match the evidence. Alcohol kills hundreds of thousands of people a year and sits in supermarkets; cannabis, with a lower measured harm profile, was a criminal offense for most of a century, and its enforcement fell almost entirely on Black and Latino communities. The point is not which substance is worse; it is that the law does not first measure harm and then regulate it. We first decide who and what matters, then find or manufacture the harm that justifies the decision.

7.1 Harm Is Contested, Not Measured

Four cases show how harm is contested rather than measured. Consider sex. What was “private” versus what was “criminal” has been redrawn case by case, in someone’s interests, with no consistent underlying principle. Sexual behavior between consenting adults was criminally regulated well into the twentieth century, and the expansion of privacy was won, not discovered. Sodomy laws are a Victorian legal export, written in 1861 and 1885, and used to convict Oscar Wilde before spreading through colonial law; they are not an ancient universal. Marital rape was legal in most US states until the 1970s and 1980s, because the private sphere was the household, not the person.

Consider drugs. Portugal decriminalized personal possession of all drugs in 2001, pairing the change with treatment and harm reduction; HIV transmission and overdose deaths fell, and use did not rise. Consider guns. After the Columbine shootings, legislators went after violent video games, but the evidence never supported that hypothesis, and cross-national comparisons point to gun availability, inequality, and the history of racially organized violence as the real drivers. Consider privacy. Its historical unit was the household, not the person, and what counts as a protected sphere is won and redrawn, not discovered.

The common thread is that harm is a claim made by the powerful, the panicked, and the organized, not a fact that precedes regulation.

7.2 Two Models of Harm

Engineers are trained on a particular model of failure: the faulty valve that causes a boiler explosion. Harm in this model is rare, dramatic, and attributable. But the worst damage caused by industry has not worked this way. When leaded gasoline lowered the IQs of an entire generation of children, no single tank of fuel caused a measurable injury. No particular cigarette caused any particular cancer death. The harm is real and massive, but it is distributed across millions of small exposures, so that no single decision can be shown to have caused a single injury.

Social media’s harms are this second kind. The term cognitive pollution captures the pattern: radicalization, depression, and polarization are byproducts of engagement maximization, produced at scale and priced at zero. The causal chain is long, probabilistic, and hard to attribute, which is exactly what makes it hard to regulate. The philosopher Derek Parfit identified the philosophical twin of this problem: the non-identity problem. If our choices change who is born, then no particular future person can say we made them worse off, yet the choice still has victims in the aggregate. Harms to “future people” cannot name an individual victim, which is why they are so easy to postpone.

Once a society accepts that harm can be diffuse and cumulative, responsibility shifts from proving individual causation to holding the emitter accountable for the aggregate. Engineers now study pollution not out of conscience but because liability eventually forced them to.

7.3 The Uncertainty Playbook

When a harm is alleged, the standard industry playbook runs in five steps: fund scientists to generate alternative hypotheses, insist that correlation is not causation, describe any call for regulation as an attack on freedom, create front organizations with neutral-sounding names, and delay—because delay is profit. The response then moves through four phases: denial, uncertainty, the market argument, and finally acceptance, at which point compliance reliably turns out to be cheaper than predicted.

The tobacco industry wrote the script. In 1950, Richard Doll and Austin Bradford Hill published a landmark study linking smoking to lung cancer. The industry’s response was a masterclass in making clear things seem murky: it formed a research committee, funded scientists, and insisted for decades that the evidence was inconclusive. Internal documents later proved the executives knew the risks long before the public did. The same script ran for leaded gasoline, asbestos, and oxycontin, and it is running now for social media and AI (Oreskes and Conway 2010).

The argument from the market deserves special attention, because it fails in every case where it has been tested. Consumers cannot evaluate a placental crossing rate for a sedative, or the probability that a suspension design will cause a rollover, or the structural integrity of a crumple zone. Markets aggregate preferences for things people can evaluate; they do not reliably handle latent hazards that require technical expertise and longitudinal data to detect.

7.4 When Regulation Works

The history of pollution shows what regulation looks like when it succeeds. In December 1952, a coal-smog blanketed London so thick that people could not see their own feet, killing at least 4,000 people in four days— a figure researchers later revised to closer to 12,000. The government’s first response was to blame influenza, but the Clean Air Act of 1956 followed, and the great smogs did not return. On June 22, 1969, the Cuyahoga River in Cleveland caught fire— the thirteenth time it had done so since 1868— and the resulting photograph helped produce the Clean Water Act of 1972. The Thames had been an open sewer since the Great Stink of 1858, but enforceable sewage-treatment requirements turned it around, and in 1983 a salmon was caught in the river for the first time since the 1820s. In every case, what changed was not public disgust, which had existed for a century, but the legal and economic cost of pollution.

The same lesson can be read backwards. At Minamata Bay in Japan, the Chisso chemical company discharged mercury for decades; cats, which ate fish scraps, sickened first and were ignored as an early warning, and official recognition of the disease came only in 1968, more than a decade after the symptoms appeared. A cross-border disaster can sometimes be converted into enforceable rules: after a 1986 fire at a Sandoz warehouse sent thirty tonnes of pesticides into the Rhine, the Rhine Action Programme set binding pollution targets, and salmon returned to the river within a decade.

The pharmaceutical parallel is the precautionary principle. Thalidomide was approved in West Germany in 1957 and sold in forty-six countries, but Frances Kelsey, a pharmacologist at the US Food and Drug Administration, refused to approve it because the safety evidence was insufficient. The birth defects that followed where it was approved vindicated her, and the Kefauver-Harris Amendment of 1962 followed. Before it, you could sell a drug in the United States without proving it did anything; after it, you had to show that it worked. Where harm is plausible and irreversible, the burden of proof may rest on those introducing the risk.

Product safety tells the same story. Ralph Nader’s 1965 book accused General Motors of selling cars it knew to be dangerous; GM’s response was to hire private detectives to dig up dirt on him, and when the surveillance was exposed, GM’s president had to apologize on national television, and Congress passed the National Traffic and Motor Vehicle Safety Act that same year (Nader 1965). A rare counterexample of a firm choosing the public good: Nils Bohlin, an engineer at Volvo, developed the three-point seatbelt, and Volvo made the patent freely available to every manufacturer in the world.

The hardest lesson is that a disaster alone does not produce regulation. In 1911, a fire at the Triangle Shirtwaist Factory in New York killed 146 workers, mostly young immigrant women, because the managers had locked the stairwell doors. The owners were acquitted of manslaughter and collected the insurance. What turned the fire into fifty-six pieces of legislation was the fire plus the unions and reform organizations that could turn grief into legislative pressure (Orleck 1995).

7.5 Settlement Versus Solution

The 1998 Master Settlement Agreement is the cautionary tale. Forty-six states sued the tobacco companies to recover $206 billion in Medicaid costs, and won. But it was a settlement, not a solution: it monetized the harm rather than removing it, and the industry survived and moved into new markets. The same limit appears in antitrust. The 1911 breakup of Standard Oil is cited as the definitive remedy, but several successor companies immediately reconsolidated, and John D. Rockefeller’s personal fortune increased after the breakup as the stock prices of the subsidiaries rose (Stoller 2019). The remedy addressed the legal structure of the monopoly without altering the underlying concentration of power.

Some market structures build harm in by design. A tontine was a pooled investment whose subscribers’ shares grew as the others died, creating an obvious incentive to hasten their deaths, and most governments eventually banned tontines for that reason. The platform race to be the last surviving competitor reproduces the same incentive in a structure that is not yet banned.

Capture is the recurring enemy, and it has an international cousin. When Australia required plain packaging for cigarettes, Philip Morris restructured its holdings through a Hong Kong subsidiary to sue under an investor-state dispute settlement clause— a move so transparently opportunistic that even the arbitrators were not impressed. Regulatory capture also has an extreme form. In the Wirecard scandal, Germany’s financial regulator attacked the journalists who exposed the fraud instead of the fraud itself. In South Korea, chaebol executives were convicted and then pardoned as too important to the economy to jail. “Too big to jail” is not a technology-industry invention.

7.6 Moral Panics and Wrong Diagnoses

A moral panic is a disproportionate, often exaggerated public alarm that can coexist with a real harm— and often targets the wrong harm while leaving the real one unaddressed. The lineage runs through dime novels in the 1880s, Fredric Wertham’s Seduction of the Innocent against comics in the 1950s (Wertham 1954), rock music, and Dungeons and Dragons, before arriving at violent video games in the 1990s.

The video-game panic is the clearest modern example. After Columbine, legislators went after games, but the scientific literature never supported the hypothesis: laboratory measures of aggression bear little relationship to real-world violence, and large longitudinal studies consistently find no meaningful effect (Ferguson 2015). The simplest check is cross-national: Japan and South Korea are among the highest per-capita consumers of video games in the world and have dramatically lower rates of violent crime than the United States. Gun availability, inequality, and the history of racially organized violence explain American violence far better than games do, but they are much harder to face. While legislators debated spine-ripping finishing moves, the real harm went largely unregulated: loot boxes, randomized rewards purchased with real money, marketed to children, and now recognized as gambling by several European regulators.

7.7 The Bridge

Social-media and AI harms are pollution-model harms. The trap is to respond with moral-panic framing—“ban the kids’ phones”— instead of diagnosing the actual harm: attention extraction, addictive design, discrimination, and surveillance. Regulating well means diagnosing the real harm rather than the one that generates the best testimony, using the pollution and product-safety models where they fit, and defending the regulator from capture. The European Union’s Digital Markets Act, which forces designated gatekeepers to allow interoperability and forbids self-preferencing, and India’s Unified Payments Interface, which built public payment rails before any private platform could achieve lock-in, are two early examples of regulation aimed at the actual source of the harm. The question is not whether the harms can be named; it is whether the people who benefit from them can be made to pay.

NoteTakeaway

Harm is not a fact that precedes regulation; it is a claim made by the powerful, the panicked, and the organized. Regulating well means diagnosing the actual harm rather than the one that generates the best testimony, using the pollution and product-safety models where they fit, and defending the regulator from capture.

7.8 Exercises

Rank the harms, then the laws.

Consider the list “alcohol, cannabis, heroin, gambling, social media, AI-generated misinformation”. Rank the items by measured harm, then by how the law actually treats them. Discuss the gaps and what explains them.

Two models of harm.

Pick a harm (e.g., a bridge collapse, leaded gasoline, a data breach, or teen anxiety from Instagram). Classify it as rare-dramatic-attributable or diffuse-cumulative, and say which regulatory instrument each model naturally suggests. Which model were you trained to think in?

Moral panic vs. real harm.

Choose a concern (violent video games, kids and phones, “AI will end humanity”). List the features that make it look like a moral panic and the features that make it an evidence-backed harm. What is the actual harm the panic may be distracting from?

Precautionary vs. wait-and-see.

Replay the thalidomide decision: you are the regulator with evidence that is suggestive but not conclusive. Do you approve or wait? What does your answer imply for “move fast and break things” and for releasing open-weight AI models?

Redesign the law.

Pick a harm currently regulated on a moral or panic basis rather than an evidence basis (e.g., cannabis, a social-media feature). Propose a regulation that tracks the actual harm, and name the political obstacles to passing it.

Beat the playbook.

You are the regulator and the industry is running the five-step uncertainty playbook. For each step, name one counter-move (independent funding, burden-of-proof rules, naming the front groups, deadlines).

Settlement or solution.

Study the 1998 Master Settlement Agreement. Why did a $206 billion settlement fail to end the tobacco problem? What would a solution have required, and why was a settlement the outcome the parties preferred?

Ferguson, Christopher J. 2015. “Do Angry Birds Make for Angry Children? A Meta-Analysis of Video Game Influences on Children’s and Adolescents’ Aggression, Mental Health, Prosocial Behavior, and Academic Performance.” Perspectives on Psychological Science 10 (5). https://doi.org/10.1177/1745691615592234. Meta-analysis of research on violent video games finding minimal evidence that they cause aggression, identifying methodological flaws in studies claiming otherwise.

Nader, Ralph. 1965. Unsafe at Any Speed: The Designed-in Dangers of the American Automobile. Grossman Publishers. A classic exposé of systematic safety defects in American automobiles that launched the consumer safety movement.

Oreskes, Naomi, and Erik M. Conway. 2010. Merchants of Doubt: How a Handful of Scientists Obscured the Truth on Issues from Tobacco Smoke to Climate Change. Bloomsbury. ISBN 9781608193943. Documents how a small network of scientists participated in a decades-long campaign to sow doubt about tobacco, climate change, acid rain, and other threats.

Orleck, Annelise. 1995. Common Sense and a Little Fire: Women and Working-Class Politics in the United States, 1900-1965. University of North Carolina Press. ISBN 9780807844977. A history of the immigrant Jewish women workers in early twentieth-century New York who built the labor movement and redefined working-class political culture.

Stoller, Matt. 2019. Goliath: The 100-Year War Between Monopoly Power and Democracy. Simon & Schuster. ISBN 9781501183089. A history of the American antitrust movement, arguing that its recent abandonment has allowed monopoly power to distort politics and the economy.

Wertham, Fredric. 1954. Seduction of the Innocent. Rinehart. Argued that comic books caused juvenile delinquency and desensitized children to violence, leading directly to congressional hearings and the Comics Code Authority, a self-regulatory body that effectively gutted the medium for a generation.