Look Elsewhere Effect
Multiple Comparisons Problem
A phenomenon where an apparently statistically significant observation may have actually arisen by chance due to the sheer size of the parameter space to be searched.
Origin
The problem received formal statistical treatment in the 1950s, as researchers including John Tukey and Henry Scheffé developed correction procedures to control the inflated false-positive rates that arise when many hypotheses are tested simultaneously. The canonical remedy — the Bonferroni correction — is named for Italian mathematician Carlo Emilio Bonferroni (1892–1960), though it was first applied in this statistical context by Olive Jean Dunn in 1959. The underlying logic is ancient — more searches mean more chances of finding something by luck — but the formal mathematical treatment arrived alongside the computing capacity to run large numbers of simultaneous tests.