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Blount, Borland, and [[Lenski]]<ref> http://www.pnas.org/content/105/23/7899.full.pdf</ref> claimed that a key evolutionary innovation was observed during a [[laboratory]] [[experiment]]. That claim is false. The claim was based on incorrect measurements of statistical significance. Rather than using a test from the statistics literature, a flawed test was contrived and used to measure significance. The flawed test (“mean mutation generation”) produced artificially low p-values.

Blount, Borland, and [[Lenski]]<ref> http://www.pnas.org/content/105/23/7899.full.pdf</ref> claimed that a key evolutionary innovation was observed during a [[laboratory]] [[experiment]]. That claim was based on a Monte Carlo statistical test of ''mean mutation generation'' which is appropriate for examining rare events. The analysis below shows that a standard test from the statistics literature, the chi-squared test, produces artificially high p-values.

==Experiment One Data==

==Experiment One Data==