Moral dilemma: Making a good decision or a bad one

Decisions, decisions. (© Jane - stock.adobe.com)

In a Nutshell

  • A global study identified three distinct decision-making types: “Sensitive” individuals who learn from punishment, “Unaware” individuals who need explicit instruction, and “Compulsive” individuals who persist in harmful behavior despite both.
  • The findings show that some people fail to connect actions with consequences, while others understand the risks but can’t change their behavior.
  • These behavioral patterns were stable over six months and outperformed self-report surveys in predicting future decision-making.
  • The results suggest that one-size-fits-all policies like fines and warnings may be ineffective for a significant portion of the population.

SYDNEY — Someone continues texting while driving despite multiple tickets, or keeps spending beyond their means despite mounting debt. While most people learn to avoid behaviors that hurt them, some individuals persist in harmful actions even when faced with clear negative consequences. New research reveals there are distinct types of people when it comes to learning from punishment, and the differences run much deeper than simple stubbornness.

A study spanning 24 countries has identified three distinct behavioral “phenotypes” that explain why some people adapt to avoid harm while others seem immune to life’s hard lessons. The research challenges common assumptions about human decision-making and reveals that punishment-resistant behavior stems from specific cognitive deficits rather than moral failings or lack of willpower.

The research, published in Communications Psychology, followed 267 participants through an online game designed to measure how people learn from punishment. What emerged was a clear pattern: roughly 26% of participants were “Sensitive,” meaning they quickly learned to avoid harmful actions after experiencing negative consequences. About 47% fell into the “Unaware” category, showing that they failed to learn from experience alone but corrected their behavior once given explicit information about consequences. Most concerning, 27% were classified as “Compulsive,” meaning they persisted in harmful behaviors even after both experiencing punishment and receiving clear information about how to avoid it.

Making decisions: Good choice vs Bad choice
Making good decisions may seem rational to most of us, but for some, even punishment can’t dig them out of the habit of bad behavior. (© Jane – stock.adobe.com)

Three Types of People Based on How They Respond to Punishment

Researchers created an online game called Planets & Pirates where participants could click on two different planets to earn points. Initially, both planets offered equal rewards. But during the punishment phase, clicking on one planet began triggering “pirate attacks” that caused significant point losses, while the other planet remained safe.

Participants were randomly assigned to groups where pirate attacks occurred either frequently (40% of the time) with mild point losses, or rarely (10% of the time) with severe losses. After three rounds of punishment learning, researchers provided explicit corrective information, telling participants exactly which planet attracted pirates and which was safe. They then observed whether this information changed behavior in a final game round.

Sensitive participants figured out the pattern quickly through experience alone. These individuals showed clear behavioral adaptation, shifting their choices away from the punished option and toward the safe alternative during the punishment blocks. They accumulated points throughout the game while others lost them.

Unaware participants seemed oblivious to the connection between their actions and negative outcomes during the initial punishment phase. They continued clicking on both planets equally, losing points in the process. However, once researchers explicitly explained which planet attracted pirates, these individuals immediately corrected their behavior and avoided further losses.

Most intriguingly, the Compulsive group showed a puzzling disconnect between knowledge and action. Even after receiving the same explicit information as the Unaware group — and demonstrating they understood it by passing comprehension tests — they continued making choices that led to punishment.

Why Some Still Make Bad Decisions

Two distinct cognitive failures drive punishment insensitivity. The first, affecting the Unaware group, involves what scientists call “causal inference deficits.” Essentially, these individuals fail to correctly connect their specific actions with negative outcomes. They experience the punishment but can’t figure out what’s causing it.

The second mechanism, affecting the Compulsive group, involves problems with “cognitive-behavioral integration.” These individuals can correctly identify cause-and-effect relationships after receiving information, but struggle to translate that knowledge into behavioral change.

Understanding why experiential learning often fails has broad implications for policy and intervention design. The researchers noted that causal inference deficits may help explain why experiential feedback often fails to drive behavior change, an insight that sheds light on the limits of punishment-based policies like fines and sanctions.

Punishment Response Patterns Remain Stable Over Six Months

Perhaps most striking, these behavioral patterns proved remarkably stable. When researchers retested 128 participants six months later, they found the same three phenotypes emerged. A majority of participants maintained their original phenotype classification during retesting, demonstrating the stability of these decision-making styles over time.

Behavioral phenotyping at baseline successfully predicted individuals’ learning trajectories and choice patterns six months later—outperforming traditional self-reported measures of cognitive flexibility in forecasting long-term decision-making outcomes. These patterns represent stable, trait-like characteristics rather than temporary behavioral fluctuations.

What This Means for Changing Human Behavior

These discoveries illuminate persistent puzzles in human behavior, from why some people repeatedly engage in risky behaviors despite negative consequences, to why public health campaigns and warning labels often fail to change behavior in certain populations.

For the Unaware group, interventions that provide clear, explicit information about consequences could prove highly effective. These individuals possess intact behavioral control systems: they simply need help connecting the dots between actions and outcomes.

However, the Compulsive group presents a more challenging scenario. Traditional approaches that rely on providing information or increasing punishment severity are likely to prove ineffective. These individuals require interventions that target the disconnect between knowledge and behavior.

Rather than applying one-size-fits-all solutions, interventions could be tailored to address the specific cognitive mechanisms underlying each person’s punishment insensitivity.

What’s clear is that human decision-making is far more complex than simple cost-benefit calculations. For roughly one in four people, the usual assumption that negative consequences naturally lead to behavioral change simply doesn’t hold true; and addressing this reality requires fundamentally different approaches than society currently employs.

Disclaimer: This report summarizes findings from a study published in Communications Psychology. The study was conducted in a controlled online environment and may not fully capture the complexity of real-world decision-making. While the identified behavioral types were stable over time, individual behavior may still vary in different contexts. The research is not intended to diagnose or label individuals but to inform future policy and intervention strategies.

Paper Summary

Methodology

Researchers recruited 267 participants from 24 countries through the online research platform Prolific. Participants played six three-minute blocks of an online game called “Planets & Pirates” where they could click on two planets to earn points. During punishment blocks, one planet began triggering “pirate attacks” causing point losses, while the other remained safe. Participants were randomly assigned to groups experiencing either frequent mild punishment (40% probability, -10% point loss) or rare severe punishment (10% probability, -40% point loss). After three punishment blocks, researchers explicitly revealed which planet attracted pirates, then observed behavior in a final block. The study included a six-month retest with 128 participants to assess stability of behavioral patterns.

Results

The study identified three distinct behavioral phenotypes using automated clustering analysis: “Sensitive” participants (26%) who learned to avoid punishment through experience alone, “Unaware” participants (47%) who only avoided punishment after receiving explicit information about consequences, and “Compulsive” participants (27%) who persisted in harmful behavior even after both experiencing punishment and receiving corrective information. These phenotypes showed remarkable stability over six months, with behavioral phenotyping outperforming self-reported measures in predicting future decision-making patterns. The research revealed two underlying cognitive mechanisms: causal inference deficits in the Unaware group and cognitive-behavioral integration failure in the Compulsive group.

Limitations

The study was conducted in a controlled online environment, limiting the ecological validity and generalizability to complex real-world decision-making scenarios. The sample, while internationally diverse across 24 countries, was drawn from an online participant pool of English speakers with digital device access, potentially limiting generalizability to different socioeconomic and cultural populations. The researchers acknowledged that the relationship between these laboratory-based findings and more complex real-world behaviors remains undetermined.

Funding and Disclosures

This research was supported by grants from the Australian Research Council and an NHMRC Synergy grant. The authors declared no competing interests. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publication Information

The paper, “Causal inference and cognitive-behavioral integration deficits drive stable variation in human punishment sensitivity,” was published in Communications Psychology, a Nature Portfolio journal, on July 9, 2025. The research was conducted by Lilith Zeng, Haeme R. P. Park, Gavan P. McNally, and Philip Jean-Richard-dit-Bressel from the School of Psychology at UNSW Sydney and Neuroscience Research Australia. The study was approved by UNSW Human Research Ethics Advisory Panel and informed consent was obtained from all participants. All experiment data and code are available through open access repositories.

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