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Zuerst!
and thats so true.
So the likelihood goes up from 1 (i.e. 100%, “all the time”) to… er, 12 ?
Normalization fail? ;o)
Or would that be 100% probability of sitting next to 12 snoring fat guys? (That would be quite an accomplishment in a euclidian, uh, airplane)
Yep. Vertical axis would make so much more sense if it was percentage from 0-100%
I concur. Graph idea = win. Graph y-axis = fail.
I’m thinking its a percentage (which makes just as much sense as it being next to 12 guys)
Guys, chill out. It’s just a silly graph, for cryin out loud! No one’s gonna build a space ship based on the results of this graph.
But, if you want to be technical, then “1″ would represent the likelihood of sitting next to a snoring fat guy on a 1 hour trip, and the other numbers would all be multiples of that value. So the values in the Y axis are all relative values.
Ditto. Clever idea. Execution needs work.
dawidi’s comment rates a 10 in my book, though. (on a scale of 1 to 10, that is, where 10 is high)
ummm….its 12 likelihoods. Never heard of that measurement aih?
comments make my head hurt.
Ha! True. I should do a graph: type of technical imperfection in graph vs. likelihood of inane discussion nitpicking said imperfection.
Or babies. Don’t forget the probability of sitting near a baby. Probability of screaming increased with each interval over four hours.
Whenever I am on a plane, I am inevitably seated next to a baby who smokes.
Might wanna check the exhaust on that baby.
Does the probability of a Billy Idol presence decrease if the plane is not en route to Las Vegas?
For me, the increasing probability is of BECOMING the snoring fat guy.
Sorry, person next to me, but I’m fat, and the flight is boring, so I’m taking a nap.
ah – but what if you are the snoring guy?
what about distance from airport to home and probability of multiple bags getting lost?