| I suppose if we take the philosophical position of Bayesian statistics, where even one sample is sufficient basis for estimating results from some sane priori model, I would say this topic is within reach of some sane postulation. Some factors we can take into account: 1. Life can evolve into us. Therefore life on other planets has p>0 to evolve agglomerations of matter we would call "alien civilization" 2. Evolution seems to be driven through external constraints, and seems to generate similar structures to solve similar problems. Hence it's not insane to postulate organelles and their function are a particular energy minima to a complex set of constraints - ie. evolution on any earth like planet might reach similar patterns as earth life. 3. Neurological function seems to be driven by laws of mathematical dynamics up to a point - if it's math, we will see it everywhere in the universe. What sort of math - I suppose nobody completely understands yet. 4. I use the above to postulate that familiar modes of existence and familiar neurological function can emerge anywhere in the universe 5. If a species is to survive, it needs to have innate drive to do so. Unless species innate drive to survive perishes, an intelligent species will realize it's chances of survival are better if it is not limited to one planet. Then, one solar system and so on. Therefore we can postulate a "natural tendency" to start interstellar expansion. 6. Humans have already launched an interstellar space craft (Voyager). Therefore p>0 that life can evolve to develop vehicles that exceeds the escape velocity form their home star Or something like that. The thing is, I don't understand the problem well enough to know if it's impossible to probe by statistics or not. I just know I'm not smart enough to solve the matter - when I did a course on Bayesian statistics the thing that left me astounded time and again was that one could create sane and accurate models from incredibly thin amount of data if one just had a good enough grasp of some of the factors at play. |
Some care should be taken to see that this principle is not being used to excuse just making things up. Bayesian statistics is rational but not magical, and it cannot create information out of nothing.
In practice, this comes down to the question of whether the model is plausible, accurate, complete and constrained enough to deliver an answer that is informative about the external world, as opposed to the choices made in modeling. Something more than reasons to believe various probabilities are non-zero is needed.
I feel that, in your final paragraph, you are grappling with this issue.