Numerical risk tolerance criteria in the United States: A critique of the risk criterion used for the New Jersey Toxic Catastrophe Prevention Act

Baybutt, Paul

doi:10.1016/j.jlp.2014.10.015

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Examples Of Heuristics and Cognitive Biases1

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Cited by 5 publications

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“…Practitioners may be unsure of what measures and criteria to use and succumb to the bandwagon effect by using published measures and criteria that are not appropriate for their application. The authority bias may cause companies to adopt criteria used by regulators even when they are wrong .…”

Section: Examples Of Heuristics and Cognitive Biasesmentioning

confidence: 99%

The validity of engineering judgment and expert opinion in hazard and risk analysis: The influence of cognitive biases

Baybutt¹

2017

Process Safety Progress

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Hazard and risk analysis depends heavily on human decision making in the form of engineering judgment and expert opinion. Human decision making may be flawed by the effects of heuristics and cognitive biases. The influence of these psychological factors may invalidate the results of hazard and risk analysis studies. They must be managed carefully to minimize their possible adverse impacts. This article provides a pragmatic view of cognitive biases and guidance on how to address them in hazard and risk analysis.

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Section: Examples Of Heuristics and Cognitive Biasesmentioning

confidence: 99%

The validity of engineering judgment and expert opinion in hazard and risk analysis: The influence of cognitive biases

Baybutt¹

2017

Process Safety Progress

Self Cite

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“…Under the TCPA regulations, the NJDEP requires the performance of a process hazard analysis that incorporates a risk assessment and utilizes a numerical risk criterion []. Unfortunately, the approach used by the NJDEP is seriously flawed, although it could be corrected without difficulty []. However, it provides an example of a risk criterion that has been implemented by a US regulator in the field of process safety.…”

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confidence: 99%