Missing scientists' mystery can be explained by the statistics of improbability

"Random numbers, words or distributions of events, he says, can appear to clump and cluster in patterns if you make the numbers big enough. And the missing scientist situation, he says, is a case for the improbability principle."

"In a series of trillions of random numbers, for example, a string of seven 7's would be almost certain to show up. In a world of more than eight billion busy people, a few will bump into a neighbor traveling in a distant country, for example."

"It's not even particularly improbable that of the thousands of Americans who disappear or are murdered every year, a few would include prominent scientists or people who've worked at large laboratories."

A pattern of mysterious deaths and disappearances among scientists working with US secrets has generated media attention and FBI investigation. However, statistical analysis suggests these apparent connections are likely illusions created by the improbability principle. Statistician David Hand explains that random events naturally cluster and form patterns when examining sufficiently large datasets. The law of truly large numbers demonstrates that extraordinary coincidences become virtually certain in populations of billions. With thousands of Americans disappearing or being murdered annually, it is statistically unsurprising that some victims would include prominent scientists. Cognitive errors like the near-enough effect cause people to perceive connections between randomly occurring events, making unrelated deaths appear deliberately linked.

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