CONCEPT
The Precautionary Trap
Aaron Wildavsky's diagnosis of the governance failure that feels safest: the precautionary principle—regulate first, benefit later—produces the very harms it claims to prevent by investing in prediction when what the situation requires is resilience.
The precautionary approach to a powerful new technology sounds responsible: assess every possible harm before permitting any benefit, require proof of safety before deployment, halt development until consequences are understood.
Aaron Wildavsky spent his career demonstrating that this approach is often catastrophically
counterproductive—not because caution is wrong, but because it misidentifies the structure of the problem. The precautionary principle rests on a hidden assumption: that the costs of action are bounded while the costs of inaction are potentially catastrophic. When this is true, precaution is right. When it is false—when the benefits of deployment are large and broadly distributed, when the harms are incremental rather than irreversible, and when the interaction between the technology and its social environment produces consequences that no anticipatory assessment can predict—the precautionary approach compounds the problem it claims to address. It forfeits the benefits while failing to eliminate the harms, because the harms emerge from complex social interactions that cannot be anticipated and are only