Silly question: If I'm understanding this correctly, doesn't this essentially mean that statistically it's possible to live forever? Or is there a point when you statistically have 100% probability of dying?
Sort of, depending on the model. For most models, if you take your "probability of dying in year X", and sum that over all the years from 0 to infinity, you'll get a 100% probability of dying at some point. The interesting thing is that there's no individual year with a 100% probability of dying - the certainty of death is just because "forever" is a really long time.
There are hypothetical distributions, though, where the sum total of probabilities is less than 100% - where some proportion of the population will, statistically, never die.
Of course this brings us to the real issue, which is that what the model says doesn't really matter - if the model disagrees with reality in extreme cases, reality wins.
This is just a model - a map of reality which may give some helpful predictions and insight about the territory, but is not the same thing as the territory (reality) itself. See, for instance, http://wiki.lesswrong.com/wiki/The_map_is_not_the_territory
Well, sure. Except the equation gives a 2 in 7 billion chance of even making it to 114 (note that in reality your odds are empirically better). The odds of reaching 136 are 1 in 10^86. For comparison, there are only 10^80 atoms in the universe...
