You’ll hear David and Drew delve into the often overlooked role of bias in accident investigations. They explore the potential pitfalls of data collection, particularly confirmation bias, and discuss the impacts of other biases such as anchoring bias and hindsight bias. Findings from the paper are examined, revealing insights into confirmation bias and its prevalence in interviews. Strategies for enhancing the quality of incident investigations are also discussed, emphasizing the need to shift focus from blaming individuals to investigating organizational c...
You’ll hear David and Drew delve into the often overlooked role of bias in accident investigations. They explore the potential pitfalls of data collection, particularly confirmation bias, and discuss the impacts of other biases such as anchoring bias and hindsight bias. Findings from the paper are examined, revealing insights into confirmation bias and its prevalence in interviews. Strategies for enhancing the quality of incident investigations are also discussed, emphasizing the need to shift focus from blaming individuals to investigating organizational causes. The episode concludes with the introduction of Safety Exchange, a platform for global safety community collaboration.
Discussion Points:
- Exploring the role of bias in accident investigations
- Confirmation bias in data collection can validate initial assumptions
- Review of a study examining confirmation bias among industry practitioners
- Anchoring bias and hindsight bias on safety strategies
- Recognizing and confronting personal biases
- Counterfactuals in steering conversations towards preconceived solutions
- Strategies to enhance the quality of incident investigations
- Shifting focus from blaming individuals to investigating organizational causes
- Safety Exchange - a platform for global safety community
- The challenges organizations face when conducting good quality investigations
- Standardization, trust, and managing time and production constraints
- Confirmation bias in shaping investigation outcomes
- Techniques to avoid bias in accident investigations and improve their quality
- Safety Exchange - a safe place for open discussion
- Six key questions
- The answer to our episode’s question – Very, and we all are as human beings. It does mean that we should probably worry more about the data collection phase of our investigations more than the causal analysis methodology and taxonomy that we concern ourselves with
Quotes:
"If we actually don't understand how to get a good data collection process, then it really doesn't matter what happens after that." - David
"The trick is recognizing our biases and separating ourselves from prior experiences to view each incident with fresh eyes." - Drew
"I have heard people in the industry say this to me, that there's no new problems in safety, we've seen them all before." - David
"In talking with people in the industry around this topic, incident investigation and incident investigation quality, 80% of the conversation is around that causal classification taxonomy." - David
Resources:
Link to the Paper
The Safety of Work Podcast
The Safety of Work on LinkedIn
Feedback@safetyofwork
View more
