This is the seed of Thomas Pynchon's 1973 novel Gravity's Rainbow -- a masterful, if difficult, novel about (among other things) paranoia.
BDSLILLUTM is decidedly about paranoia. Beware girls with green knee socks.
But that business of trying to figure out whether the bombs are random or not is central to the book. There are a lot of statisticians running around trying to figure out why the pattern of bomb blasts corresponds to the Poisson distribution.
(Of course, there's also a character whose erections appear to predict bomb blasts. Postmodernism, ftw).
This is a little bit plausible. This is how the RAF shot down V-1s: http://i.dailymail.co.uk/i/pix/2011/05/08/article-1384740-0B... (picture courtesy of the Daily Fail)
So, the kill ratio of V-1s might have been higher against the RAF because it was so hard to down V-1s and doing so was hazardous. We're still talking a tiny fraction of the craft engaged, though.
My favourite story is about Battle of the Beams (http://en.wikipedia.org/wiki/Battle_of_the_Beams), where German bombers were guided by radio navigation. The British started broadcasting their own radio signals to make it appear to the German planes that the beam was slightly bent. It meant they could get the bombers to drop their bombs in the middle of nowhere.
http://en.wikipedia.org/wiki/V-1_flying_bomb#Guidance_system
Events generated by Poisson processes or amenable to the small-p binomial approximation look like Poisson. Events not amenable to the small-p approximation look Gaussian. Extreme value measurements (flood water levels, auction prices) look Weibull, Fréchet or Gumbel.
Appropriate statistical methodologies are appropriate.
sigh
