I'm just curious if anyone has weighed the evidence from the Casey Anthony murder using a Bayesian filter. Someone made a very useful post like this for the Amanda Knox case, but I think for this case it would be even more useful. Given the apparent hysteria in traditional media, social networks, etc. it would be great to have a nice dose of rationality about the case.
My gut feeling is that most people have not bothered to weight the evidence, but look at the surface layers of the case and judge based on questionable heuristics. It also seems to me that the members of the jury had a lot more time and reason to carefully weigh the evidence (even if they aren't Bayesians) than your average, angry twitter user. Additionally, coming out on one side or another gives a great opportunity to signal (think of the children vs. strict constitutionalism).
Any thoughts?
komponisto, I would be very interested in reading if you decided to do a similar post (to the Knox case post you had) for this case as well - even if it's just a discussion post.
Also, you say that p(Anthony=guilty) is 'possibly over %50'. Let's assume it's %50.
This claim could be interpreted as the following. Suppose that there are X many possible scenarios for what happened, given the constraints of our evidence about the case. In X/2 Anthony is guilty and in X/2, she is not guilty.
This seems implausible to me. X/2 alternate scenarios (scenarios that don't involve Anthony's guilt) seem too many.
What other alternate scenarios are there?