This explanation is much more plausible than a Great Filter. Here's a great comment summarizing the argument very intuitively:
https://news.ycombinator.com/item?id=17562439
I also found this one very helpful:
This explanation is much more plausible than a Great Filter. Here's a great comment summarizing the argument very intuitively:
https://news.ycombinator.com/item?id=17562439
I also found this one very helpful:
Isn't that just elaborated way of saying that some of the parameters of the Drake equation have to be much smaller than we think?
Let's use the simple example you reference from the paper. If we just use the mean as point estimates, then indeed we obtain an extremely low probability that there's no other intelligences:
def prob_of_no_intelligence_in_galaxy(p):
prob_of_intelligence = pow(p, 9)
planets = 100e9
return pow(1-prob_of_intelligence, planets)
prob_of_no_intelligence_in_galaxy(0.1) -> 3.720086311124783e-44
However, there is already a 82% chance of an empty galaxy if the parameter p is halved: prob_of_no_intelligence_in_galaxy(0.05) -> 0.8225792614407508
Now of course halving every probability is a lot, however now there's no single or few events that have a very low probability of happening. The Great Filter disappears.See also my other comment here: https://news.ycombinator.com/item?id=25811359
Also: The Drake equation has one factor which is the avg number of planets per star, of which we are already quite confident it is above 0.1.
The paper argues against this in that you don't need a few very improbable. In fact, there are many parameter choices where none of the probabilities in the Drake equation are particularly low, yet the resulting number of intelligences is still staggeringly small.
tl;dr: All parameters can be a bit lower. Then you don't need any events that are extremely improbable.
I don't see how it's any different from the great filter explanation. It's just great filter with statistical distributions.
However, as per my other comments, you can update the distributions of your parameters in different ways, such that none of the events in the Drake equation have a particularly low probability.
Then the Great Filter disappears and there's no specific or few set of events to point to - it's just that the probability of all events succeeding in combination is extremely low.