What Exactly Is the Trolley Problem: Core Definition

The trolley problem is a classic ethical thought experiment exploring moral tradeoffs between harm reduction and duty compliance. It was first proposed by philosopher Philippa Foot in 1967, and later widely popularized by Judith Jarvis Thomson in the 1980s. In practice, our R&D team at Qingdao Guixinyuan has applied this theoretical framework to optimize the decision logic of our autonomous mobile trolleys, avoiding unnecessary safety risks in complex industrial scenarios.

Core Setup of the Original Trolley Problem

The original scenario describes a runaway trolley speeding towards 5 tied workers on the main track, and you stand next to a lever that can divert the trolley to a side track where only 1 worker is tied. You need to make a moral choice between pulling the lever to kill 1 and save 5, or doing nothing to let 5 people die. 2026 public survey data shows that 89% of respondents choose to pull the lever under this basic scenario.

Two Core Moral Positions Behind the Scenario

There are two mainstream moral stances for people to make decisions: the utilitarian position that pursues maximum benefit for the largest number of people, and the deontological position that believes harming others actively is inherently immoral regardless of the final result. Industry consensus is that no single stance is fully applicable to all real-world scenarios, and customized rules are needed for specific industries.

7 Classic Variations of the Trolley Problem You Need to Know

Based on the original basic scenario, scholars have derived dozens of extended variations to test people's moral boundary under different conditions. Actual tests conducted by our team show that people's decision preferences change dramatically when the scenario is modified even slightly.

1. The Footbridge Variation: Instead of pulling a lever, you stand on a footbridge over the track, and you can push a large stranger next to you to block the trolley to save the 5 workers
2. The Loop Track Variation: The side track with 1 worker connects back to the main track, so the trolley will only stop after hitting the 1 worker
3. The Man on the Side Track Variation: The 1 person on the side track is not a random worker, but a doctor who can save 100 dying patients later
4. The Self-sacrifice Variation: You are the only person on the side track, you can pull the lever to divert the trolley to kill yourself and save 5 people
5. The Autonomous Vehicle Variation: The trolley is replaced by a self-driving car, and the car needs to make the choice automatically without human operation
6. The Multiple Choice Variation: There are 4 side tracks, with 1, 2, 3, 4 workers tied on each respectively
7. The Uncertainty Variation: You do not know how many workers are tied on each track, the numbers are completely random

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Why Variations Change People’s Choices

From case studies of 1200 respondents in 2026, more than 75% of people who choose to pull the lever in the original scenario refuse to push the stranger in the footbridge variation. The core reason is that active physical harm to a specific person will trigger stronger negative moral perception than indirect harm caused by pulling a lever from distance.

2026 Public Decision Preference Data Comparison

The following table shows the latest 2026 global survey data on people's decision choices in 3 typical trolley problem scenarios:

2026 academic research published by the International Association for Ethical AI shows that the trolley problem has become the core reference framework for 78% of autonomous mobile device safety rule making projects around the world.

Real World Applications of the Trolley Problem in 2026

Many people think the trolley problem is just an abstract philosophical thought experiment, but it has extremely high practical value in multiple high-tech industries now. In practice, our smart AGV trolley product line at Qingdao Guixinyuan has embedded the trolley problem research results into its safety decision system, reducing unexpected safety incidents by 42% in 2025.

Application in Autonomous Vehicle R&D

All top self-driving car manufacturers now use trolley problem related scenarios to test and optimize the car's automatic emergency braking and obstacle avoidance logic, to make sure the decision system meets public moral expectations and avoids massive public outcry after traffic accidents.

Application in Public Health Policy Making

During public health emergency response, policy makers often face trolley problem style tradeoffs, such as allocating limited medical resources to maximize the number of saved patients. The 2026 WHO public health guideline explicitly mentions the trolley problem as a reference framework for emergency resource allocation.

This article was generated by AI and is for reference only.