Experts could have a field day with this analysis. It's flat out retarded. Applying the same flawed analysis to Meb's win in New York, or his Olympic Silver, you could already say that he has won a "once every 19,000 year" event -- now three times? Heck, if they analyzed just about any individual athlete in any race using this method it is almost certain that the winning result would be a "one in a very big number" chance.
Here's where they fail in probabilty:
"What are the odds that they all don’t on a given day? Well that would be .29*.29*.29*.29*.29*.29*.29*.29 which equal .0051% or 1 in every 19,813 races."
Wrong, the Boston Marathon is not a random series of independent events. It is one single event. Determining the probability of event B happening today is not the product of the complementary probabilities of two or more events that have happened in the past.
Period. Full Stop. End of story.
Let me illustrate it this way:
Because Dennis Kimetto (2:03:45, 3 for 3) and Lelisa Desisa (2:04:45, 3 for 3) are 6 for 6 in sub 2:07 races, that doesn't imply that the probability of them both running slower than 2:07 is 0.0%, so therefore it is infinitely impossible for any other runner to win Boston.
Get it? The analysis is pure bunk from the beginning. Drunken mathematics.
"In no other branch of mathematics is it so easy for experts to blunder as in probability theory" - Martin Gardner