Would you redirect a runaway trolley to save five people if one person would die? What if saving the five required pushing a person from a bridge? Searches for the trolley problem often ask for the solution, but the comparison is interesting precisely because a simple tally may not settle the reasons. This guide explains the artificial assumptions, lets you record your own choices, and connects them with broader questions about ethical decision criteria.
What is the trolley problem?
The trolley problem examines moral judgments across stylised cases of harm. In a familiar switch case, a bystander can redirect a threat from five people toward one. In a bridge variant, saving five is stipulated to require pushing another person into the trolley's path. These are artificial lethal dilemmas, presented here through abstract markers without graphic imagery. They are not instructions for an actual emergency.
The Stanford account of doing versus allowing harm provides context for the distinctions developed by Philippa Foot, Judith Jarvis Thomson, and others. Philosophers disagree about which distinctions carry the moral weight and how the variants should be framed. Learning the comparison means examining the reasons, not discovering a software-generated answer that ends the debate.
Record your choices and the reason you actually used
In Modic's trolley problem activity, choose Intervene, Do not intervene, or Withhold judgment in each case. Select a reason before recording the action. The final ledger preserves both, so you can compare whether the action changed, the reason changed, or the same reason supported different conclusions once the intervention changed.
There is no moral score. A pair of clicks cannot identify your complete ethical theory, and a response to a stylised scenario is not a reliable prediction of real behaviour. Withholding judgment is available because a reader may want to challenge the assumptions or reflect further. The activity is useful when you can explain a distinction, including an uncertainty, more clearly after playing.
A worked example: keep the outcome count fixed
Assume, for the exercise only, that outcomes are certain and the supplied actions are the only alternatives. Holding those assumptions fixed helps isolate how the intervention differs. In real life, certainty and the absence of other options would need scrutiny before the scenario could guide a practical decision.
- In the switch case, record whether redirecting the trolley is permissible under the stipulated one-versus-five consequence. State the reason rather than only the headcount.
- In the bridge case, consider the stipulated use of a person to stop the threat. The number saved and killed is unchanged, but the role of the intervention is different.
- Compare the recorded reasons. If your judgments differ, identify which distinction explains that difference; if they match, explain why the changed action does not alter your criterion.
What a consequence-based comparison reveals—and leaves open
A consequence-based approach asks what the available actions bring about. The number of people affected is plainly relevant in these cases, but treating that number as the complete criterion is a further ethical commitment. A model can report the stipulated count exactly without establishing that it exhausts the moral question.
The utilitarianism and distribution game gives a less dramatic way to inspect aggregation. Allocate five aid tokens and compare each group's invented benefit, the total, and the minimum. Two splits can have the same total while distributing gains differently. The table does not reproduce Mill's full theory; it makes a question about counting and distribution visible without deciding it for the reader.
Why intention and using someone as a means enter the discussion
One proposed distinction concerns whether a harmful effect is a foreseen side effect or part of the means used to achieve the result. The Stanford discussion of double effect examines this family of arguments and their controversies. Merely saying that you meant well is not a complete defence; the action, means, justification, and proportionality still require examination.
The categorical imperative board explores another kind of question: whether a proposed maxim could function as a common rule rather than an exception relying on others. That board is not a trolley solver, and its lending threshold is an invented illustration. Moving between the activities helps separate questions about consequences from questions about the structure and justification of an action.
Who chooses the rule, and who bears its cost?
The veil of ignorance activity asks you to choose a policy before learning which position you occupy. It highlights the difference between a rule that serves your current advantage and one you can justify without that knowledge. Its equal-chance role draw is a teaching device, not Rawls's full original position. The point is to make the position-dependent reason inspectable.
This perspective does not automatically settle a trolley case either. It supplies another question about a rule's justification and the people asked to bear its consequences. An ethical discussion becomes clearer when these different questions remain visible instead of being compressed into one score labelled fairness. Different frameworks may identify genuine tensions rather than merely use different words for the same calculation.
A useful way to discuss the dilemma without forcing agreement
Start by agreeing on which scenario is being considered. Changing certainty, alternatives, consent, responsibility for the threat, or the person's causal role can change the problem. A discussion can become confused when one participant is imagining a different version while both think they are debating the same case. Write the assumptions before asking for a judgment.
Then ask for a reason and a possible objection. A participant might consistently prioritise consequences, refuse a particular means, or suspend judgment because a distinction remains unclear. Challenge the reason rather than diagnosing the person. The goal is not to infer that someone is cruel or irrational from a forced hypothetical; it is to identify what a defensible argument would need to address.
- Which exact version of the case are we discussing?
- Are the outcomes certain by stipulation or uncertain in practice?
- What alternatives have been excluded?
- Which reason supports my action, beyond repeating the outcome count?
- Would the same reason apply if my role in the case changed?
What transfers to real decisions?
The transferable habit is to separate an outcome description from the rule used to judge an action. In ordinary decisions, that can mean asking whose interests are counted, which duties constrain a proposal, whether consent is present, and how uncertainty changes what is justified. Those are practical questions even when the dramatic trolley setup is a poor model of the situation.
Return to the activity's ledger and write the strongest objection to your own preferred reason. You do not need to abandon the reason, but you should understand what it leaves unresolved. Philosophy is useful here when it improves the quality of the question and argument. A high-confidence verdict or a high score would not be an adequate substitute.
Try the ideas for yourself.
These are teaching models. Follow the assumptions in each experiment; the results are not real-world forecasts.
Sources & further reading
Current-event context was checked on October 20, 2026. Follow the original source for newer updates. Worked scenarios are illustrative unless explicitly identified as reported data.
- Stanford Encyclopedia of Philosophy: Doing versus allowing harm ↗
Context for action, omission, and the trolley-problem discussion.
- Stanford Encyclopedia of Philosophy: Doctrine of double effect ↗
Context for intention and foreseen effects, including objections and disputed applications.