The final straw was noticing a comment referring to "the most recent survey I know of" and realizing it was from May 2009. I think it is well past time for another survey, so here is one now.
I've tried to keep the structure of the last survey intact so it will be easy to compare results and see changes over time, but there were a few problems with the last survey that required changes, and a few questions from the last survey that just didn't apply as much anymore (how many people have strong feelings on Three Worlds Collide these days?)
Please try to give serious answers that are easy to process by computer (see the introduction). And please let me know as soon as possible if there are any security problems (people other than me who can access the data) or any absolutely awful questions.
I will probably run the survey for about a month unless new people stop responding well before that. Like the last survey, I'll try to calculate some results myself and release the raw data (minus the people who want to keep theirs private) for anyone else who wants to examine it.
Like the last survey, if you take it and post that you took it here, I will upvote you, and I hope other people will upvote you too.
Survey taken.
I had fun doing the background research to be able to give a number to the P(Aliens) questions. :) The topic has, of course, come up many times, but never before for me in association with a community where the social norms favored a careful, quantitative answer.
When answering the Newton question, I was surprised at the shape of my probability distribution for the answer. It definitely wasn't a gaussian, a uniform distribution, or other form that I've worked with. This was simply due to the knowledge I started with, which was vague propositions rather than measurements. (i.e. I knew the right century and had a good idea when Newton was born, but didn't know when he died.) I'm quite curious what the distribution of responses will be for the year, since a historical date is the sort of thing we'd expect humans to make errors on, but not gaussian errors.
I enjoyed this too. Tried to calibrate Aliens 1 with Aliens 2, and found that what seemed like a modest estimate for Aliens 2 (still a shot in the dark due to too many Drake unknowns, but what the hell) created an enormous probability estimate for Aliens 1. More convinced than ever that we are not alone.