You’d Be Surprised How Bad of a Person You Are - Thought Experiments That Change the Way You Think

TL;DR

Rawls’s veil of ignorance is designed to generate fair social rules by forcing decision-makers to ignore their own identity, but it remains hypothetical and hard to actually attain.

Briefing Cornell Notes

Briefing

A thought experiment built to make moral rules feel fair—Rawls’s “veil of ignorance”—runs into a deeper problem: people can’t actually escape bias, and moral judgment is tangled up with luck, knowledge, and the limits of what anyone can justify as “objective” morality. The result is a shift away from chasing perfect fairness toward practicing compassion and forgiveness while still holding people accountable.

The scenario starts with a blank slate: someone designs the society they will live in without knowing who they’ll be—race, sex, disability, wealth, abilities, even personal tastes. The rational move is to choose rules that treat everyone as well as possible, so that even if they end up among the worst off, they still get a fair shot. That’s the core promise of the veil of ignorance, originally framed by American philosopher John Rawls in A Theory of Justice as a way for leaders to adopt a neutral standpoint when setting principles.

But the neutrality collapses in practice. Rawls called the original position “purely hypothetical,” and the transcript presses the next issue: fairness itself may be impossible when every rule-maker starts from partial, self-interested, and biased perspectives. Even if someone tries to be balanced, they can’t control the starting conditions that shape their thinking.

Luck then becomes the central complication. Since no one chooses who they are born as or which society they enter, outcomes tied to those circumstances are morally arbitrary. The discussion formalizes this through “moral luck,” a concept introduced by Bernard Williams and developed by Thomas Nagel. Moral luck describes cases where people receive moral blame or praise for actions whose consequences—and sometimes even the conditions that produced the action—were not under their control.

Four types of moral luck are illustrated with bar-fight hypotheticals. Tom and Larry throw punches with similar intent and skill; Larry’s victim dies after hitting their head, so Larry faces manslaughter charges, while Tom does not. Marcus is about to punch but fire alarms interrupt the fight, so he escapes blame despite the same intention. Stephanie punches and the victim dies, but she avoids jail because her history of severe childhood abuse and a diagnosis of borderline personality disorder are treated as causal factors that reduce her culpability. The examples push a troubling question: if circumstances and even mental tendencies weren’t chosen, how can moral responsibility be cleanly assigned?

The transcript then escalates to a third problem: moral knowledge. It traces the “is–ought” problem to David Hume—ethical conclusions require assumptions that can’t be derived from facts alone. Morality might be grounded in religion, emotion, or science and reason, but each route runs into subjectivity or an unexplained leap from describing well-being to declaring it “ought” to be maximized. The proposed way out isn’t a perfect theory of justice; it’s a practical ethic—punish and resist wrongdoing when needed, but pair judgment with compassion for the absurdity of human lives shaped by forces outside anyone’s control.

The closing takeaway leans on Arthur Schopenhauer’s argument that boundless compassion is the surest guarantee of moral conduct, offering a through-line for change that can accept mistakes without excusing harm.

Cornell Notes

The veil of ignorance aims to produce fair social rules by forcing decision-makers to design society without knowing their own race, gender, wealth, abilities, or preferences. That ideal quickly runs into three philosophical obstacles. First, fairness is hard to reach because people can’t escape bias and partial self-interest. Second, moral judgment is distorted by luck: consequences and even the conditions that shape behavior often fall outside personal control, a point developed through Nagel’s “moral luck” categories. Third, grounding morality as “objective” faces the is–ought problem—facts about the world don’t automatically yield ethical “oughts.” The transcript concludes that perfect fairness may be unattainable, so moral life should emphasize compassion and forgiveness while still responding to wrongdoing.

Why does Rawls’s veil of ignorance feel compelling at first, and what does it assume about fairness?

The veil of ignorance asks someone to choose the rules of a society without knowing who they’ll be—so the safest strategy is to design institutions that treat everyone well, especially those who might end up worst off. Rawls framed this as a way to adopt a neutral standpoint when evaluating fair principles. The transcript then stresses the assumption that neutrality is reachable enough to guide rule-making, even though Rawls himself described the original position as “purely hypothetical.”

What is “moral luck,” and how does it challenge the idea of deserved blame?

Moral luck refers to cases where a moral agent receives blame or praise for actions, but the agent lacks control over key factors—such as the consequences of the act or the circumstances that shaped the agent’s behavior. The transcript attributes the term to Bernard Williams (1976) and develops it through Thomas Nagel’s framework. The central challenge is that two people can perform the same action with similar intent, yet receive radically different moral and legal outcomes due to chance or background conditions.

How do the bar-fight examples separate intention from outcomes?

Tom and Larry both throw punches with similar force and skill, but Larry’s victim dies after hitting their head, so Larry is charged with manslaughter while Tom faces essentially no comparable blame. Marcus intends the same punch but fire alarms interrupt the fight, so he avoids blame. Stephanie also punches and the victim dies, but she receives no jail time because evidence of severe childhood abuse and a diagnosis of borderline personality disorder is treated as a causal factor reducing culpability. Together, the cases show how outcomes and circumstances can dominate moral assessment even when intentions match.

What does the is–ought problem (Hume) contribute to the morality debate?

The is–ought problem questions how ethical claims (“how the world ought to be”) can be derived from factual descriptions (“how the world is”). Hume’s point is that facts alone can’t generate moral conclusions; ethical assumptions must be added, and those assumptions come from subjective interpretation. The transcript then applies this to common grounding strategies: religious doctrine depends on proving the religion’s objective truth, emotions vary with culture and temperament, and even science-based morality (as argued by Sam Harris) still requires an initial “ought” such as maximizing well-being.

If perfect fairness and objective morality are hard to justify, what alternative ethic is proposed?

The transcript suggests moving from chasing perfect fairness or fully objective right-and-wrong toward a practice of compassion and forgiveness. It argues that people didn’t choose their birth circumstances, their social rules, or the forces shaping their character. That doesn’t mean tolerating wrongdoing; it still allows punishment, resistance, and accountability—while pairing those actions with compassion for everyone’s constrained, luck-shaped lives.

Review Questions

Which parts of the veil of ignorance are meant to neutralize bias, and why does the transcript claim neutrality is still unreachable?
In Nagel’s moral luck framework, how do resultant, circumstantial, constitutive, and causal luck differ in what they control or fail to control?
What does the is–ought problem imply about deriving moral “oughts” from scientific or factual claims?

Key Points

1
Rawls’s veil of ignorance is designed to generate fair social rules by forcing decision-makers to ignore their own identity, but it remains hypothetical and hard to actually attain.
2
Fairness may be structurally difficult because rule-makers can’t fully escape bias, partial self-interest, and the perspectives they start with.
3
Moral judgment is heavily influenced by luck, including chance outcomes and uncontrollable life circumstances, undermining the idea that blame always tracks chosen agency.
4
Nagel’s “moral luck” categories show how identical actions can lead to different blame depending on consequences, interruptions, background conditions, and mental/behavioral traits.
5
The is–ought problem challenges attempts to derive moral obligations from facts alone, since ethical conclusions require additional assumptions.
6
A practical response is to combine accountability with compassion—punishing wrongdoing while recognizing that people’s lives are shaped by forces outside their control.

Highlights

The veil of ignorance aims for neutrality by hiding a person’s identity, but the transcript argues that neutrality can’t be fully reached because fairness itself depends on biased starting points.

Moral luck reframes blame: two people can commit the same act with similar intent, yet receive different moral and legal treatment due to chance consequences.

The bar-fight scenarios show intention is not enough—fire alarms, head injuries, and childhood abuse can all swing culpability.

The is–ought problem pushes back on “objective morality” projects by insisting that facts don’t automatically produce ethical “oughts.”

The closing ethic isn’t perfect justice; it’s compassion and forgiveness paired with resistance to wrongdoing.

Topics

Veil of Ignorance
Moral Luck
Is–Ought Problem
Moral Responsibility
Compassion