Definition
- Bystanderism: when people do not help someone else in need.
The Bystander Effect
The Bystander Effect is the psychological term that refers to the phenomenon where individuals do not help in an emergency situation as others are present. The more people witness the same situation, the less likely the victim gets help.
There are reasons as for why this occurs:
- Diffusion of Responsibility
- When there are many people witnessing an incident, individuals will reason that others should act first.
- People have already assumed that others have intervened and
therefore it is not a personal responsibility to intervene.
- Informational Social Influence
- In ambiguous situations, when we are not sure how to react, we look to others around us for information on what to do.
- Pluralistic Ignorance
- The tendency to rely on the reactions of others. If no one else reacts, the the individual will not react either.
- Sensory Overload
- An alternative explanation which posits that we have limited cognitive energy for our sensory inputs. We will block out information that is not personally relevant.
- Explains why people in crowded cities are less likely to help.
Key Studies
1. Diffusion of Responsibility
Case studyDarley & Latané (1973):
Aim: To investigate whether the presence of other bystanders reduces the likelihood of helping in an emergency situation.
Method:
- 72 university students (59 female, 13 male) took part in a laboratory experiment where each participant was placed in an individual room with an intercom system in 1 of 3 conditions:
- Condition 1: Participant + Victim (2-person group).
- Condition 2: Participant + Victim + 1 other confederate (3-person group).
- Condition 3: Participant + Victim + 4 other confederates (6-person group).
- They believed they were communicating with other participants, but they were actually listening to pre-recorded audio clips.
- Conversations were structured so that participants took turns speaking, with microphones switching on and off.
- At a certain point, a "victim" (confederate) pretended to have a seizure, gasping for air and choking over the intercom.
- The key dependent variable was the time taken for the participant to inform the researchers about the emergency.
Results:
- Participants showed visible stress during the emergency.
- The number of perceived bystanders significantly affected helping behavior:
- 2-person group: 85% of participants helped.
- 3-person group: 62% of participants helped.
- 6-person group: Only 31% of participants helped.
- The more bystanders participants thought were present, the longer it took them to seek help.
Conclusion:
- Supports the diffusion of responsibility hypothesis as the larger the group, the less likely individuals were to take action because they assumed someone else would.
Evaluation:
- Controlled setting allowed researchers to isolate the effect of perceived bystander presence, increasing internal validity.
- Replicable experiment with clear operationalization of variables increases reliability.
- Demonstrates causality between group size and helping behavior.
- The emergency was staged in an artificial setting.
- Participants may have experienced psychological distress due to the perceived emergency.
- Sampling bias as all participants were university students, limiting generalizability.
2. Cost-Reward Model (Challenging Diffusion of Responsibility)
Case studyPiliavin et al. (1969)
Aim: To investigate how situational factors, such as the type of victim and group size, influence helping behavior in an emergency situation.
Method:
- Opportunity sample of New York subway passengers (unaware they were part of a study)
- Conducted between 11 a.m. and 3 p.m. on a non-stop 7.5-minute subway journey.
- Participants witnessed one of two scenarios:
- A man with a cane who appeared ill collapsing to the floor.
- A man who appeared drunk collapsing to the floor.
- The "victims" (confederates) collapsed 70 seconds after departure and remained on the floor until helped.
- If no one helped, a "model-helper" would intervene after 70 seconds.
- Two female observers recorded:
- Frequency and speed of helping.
- Sex of the helper.
- Verbal comments and any movement away from the victim.
Findings:
- Overall helping rates were high:
- 78% of victims received spontaneous help.
- 60% of cases involved more than one helper.
- Victim condition influenced response time:
- Ill victim (cane): Helped in 62 out of 65 trials (95%), median response time 5 seconds.
- Drunk victim: Helped in 19 out of 38 trials (50%), median response time 109 seconds.
- Gender differences in helping:
- 90% of helpers were male.
- Group size did not lead to diffusion of responsibility:
- Larger groups led to faster helping times, contradicting previous research.
- Race of the victim had no significant effect on helping behavior.
- More verbal comments were made when the victim was drunk or when help was delayed.
Conclusion:
- Helping behavior is influenced by perceived costs and benefits rather than diffusion of responsibility.
- People are less likely to help when the perceived cost is higher (e.g. helping a drunk person may be seen as riskier).
- The Arousal-Cost-Reward Model suggests that helping behavior is motivated by the desire to reduce negative emotions rather than pure empathy.
Evaluation:
- Conducted in a real-world setting, increasing generalizability and ecological validity.
- Less control over extraneous variables compared to a lab experiment.
- Measuring "time taken to help" as an indicator of decision-making may be an oversimplification.
- Lack of informed consent as participants did not know they were in a study.
- They were misled into believing the emergency was real.
- There was no debriefing.
Critical Thinking
- Strengths:
- Offers insights into real-life emergency situations, helping us understand the factors that influence human behavior.
- Studies like Piliavin et al. take place in naturalistic settings, enhancing ecological validity and making the findings more applicable to real-world situations.
- Explains why intervention rates differ in various environments.
- Limitations:
- Ethical concerns arise due to the use of deception and potential emotional distress for participants in bystander research.
- Many studies focus on simulated or staged emergencies, which may not fully capture the complexity of real-life situations.
- Cultural differences may affect bystander behavior, meaning findings from one society may not be generalizable.
- Applications:
- Insights from research on bystanderism have been used to develop public awareness campaigns that encourage intervention in emergencies.
- Training programs for emergency responders.