Under deep uncertainty in predictive models, we should ask: What's the worst that can happen * Before * we have time to react.
Not exact matches
The issue of decision making
under deep uncertainty was discussed
in this post on Can we make good decisions
under ignorance?
Attempting to use climate information
in the context of expected utility can lead to bad decisions; there are much better ways to approach the decision making
under conditions of
deep uncertainty.
When using climate information to support decision making on decadal to century timescales, we are
in a situation of «
deep uncertainty;» see the previous post on Can we make good decisions
under ignorance?