[syntonym2]

While reading the blog post/abstract I had the same thought, but the full paper makes it clear that the author intends something different:

> The second challenge that the uncertainty principle poses for Bayesian statistics is that [...] we routinely treat the act of measurement as a direct application of conditional probability.

Furthermore it states that this problem might also arise for other applications of Bayesian statistics:

> If classical probability theory needs to be generalizedto apply to quantum mechanics, then it makes us wonder if it should be generalized for applicationsin political science, economics, psychometrics, astronomy, and so forth. It’s not clear if there are any practical uses to this idea in statistics, outside of quantum physics. For example, would it make sense to use “two-slit-type” models in psychometrics, to capture the idea that asking one question affects the response to others?