I specifically define knightian uncertainty (which is seperated from my use of meta-uncertainty) in the linked post, as referring to specific strategic scenarios where naive STRATEGIES of making decisions with expected value fail, for a number of reasons (the distribution is changing too fast, the environment is adversarial, etc).
This is different from the typical definition in that it’s not implying that you can’t measure the uncertainty—the Bayesian epistimology still applies. Rather, it’s claiming that there are other strategies of risk mitigation you should use seperated from your measurement of uncertainty, simply implied by the environment. This is I think what proponents of knightian uncertainty are actually talking about, and it’s not at odds with Bayesianism.
I specifically define knightian uncertainty (which is seperated from my use of meta-uncertainty) in the linked post, as referring to specific strategic scenarios where naive STRATEGIES of making decisions with expected value fail, for a number of reasons (the distribution is changing too fast, the environment is adversarial, etc).
This is different from the typical definition in that it’s not implying that you can’t measure the uncertainty—the Bayesian epistimology still applies. Rather, it’s claiming that there are other strategies of risk mitigation you should use seperated from your measurement of uncertainty, simply implied by the environment. This is I think what proponents of knightian uncertainty are actually talking about, and it’s not at odds with Bayesianism.