I recently completed a series of webinars on using graphical diagnostics to deal with bad experimental data.* The first thing I focused on was avoidance of confirmation bias – hearing what you want to hear, for example in the persistence of the possibilities of cold fusion. See more cases of confirmation bias in this detailing by Peter Bowditch in Australasian Science.
I came across another interesting example of the persistence of wished-for results in a review** of Samuel Arbesman’s new book on The Half-Life of Facts. It turns out that spinach really does not delivery the amount of iron that my mother always believed would make it worth us eating this horrible food. She was a child of the 1930’s, at which time it was widely believed that the edible (?) plant contained 35 milligrams of iron, a tremendous concentration, per serving. However, the actual value is 3.5 mg—the chemist who first analyzed it misplaced the decimal point when transcribing the data from his notebook in 1870! In 1937 this error was finally corrected, but my mom never got the memo, unfortunately for me and my six younger siblings. ; )
*“Real-Life DOE” presentation, posted here
** The Scientific Blind Spot by David A. Shaywitz in the 11/19/12 issue of Wall Street Journal