Biases and debiasing in policy decision-making.

Area of Science:

• Public Health
• Policy Science
• Cognitive Psychology

Background:

• Effective policy decisions rely on rigorous scientific evidence and minimal bias.
• Wicked problems and crises highlight challenges in using scientific evidence for policy.
• Policymakers frequently exhibit biases, leading to suboptimal decisions and ineffective practices.

Purpose of the Study:

• To identify and map key biases influencing policy decision-making.
• To analyze biases across scientific evidence, policymakers, and citizens.
• To explore potential debiasing processes and tools for improving policy outcomes.

Main Methods:

• Mapping biases related to risk perception (minimizing/maximizing) and intervention effectiveness (minimizing/maximizing).
• Categorizing common cognitive biases such as normalcy bias, ostrich effect, and action bias.
• Reviewing debiasing strategies and their potential applications.

Main Results:

• Biases manifest in how scientific evidence is perceived and how intervention effectiveness is evaluated.
• Identified biases include crisis denial, moral panic, anti-medicine sentiments, and lobbyism.
• Cognitive biases like normalcy bias, ostrich effect, and death spiral effect are prevalent.

Conclusions:

• Addressing cognitive biases in policy-making is crucial for enhancing decision quality.
• Debiasing can improve the implementation of policies and foster greater trust in institutions.
• Mitigating bias benefits both scientific integrity and societal well-being.