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A potential breakthrough on Duchenne is a reminder that a Type II error—rejecting a drug that should have been approved—carries risks beyond one drug.

Thus, if a large number of Corvettes from a car show drove through the region and we therefore accepted the false assumption that at least 15 percent of the cars in the region were Corvettes, we would be making a Type II error.

A Type I error occurs when a true hypothesis is rejected, and a Type II error occurs when a false hypothesis is accepted.

The equal and opposite misstep, a Type II error, involves attributing a true relationship to chance.

In the 20th century it was believed that a Type I error was worse than a Type II error.