Onwords

The term “confirmation bias” has come to the fore recently, describing everything from the publication of scientific papers to polls of public opinion. Briefly stated, “confirmation bias” is the tendency to only accept new information that supports what we already think. Gen X-ers like me, for example, might be inclined to believe any study indicating that Baby Boomers are self-centered, that Millennials are entitled, or that only the unsophisticated don’t like craft beer. In science, confirmation bias often comes in the form of fudged study results, in which researchers select data or use statistical analysis in such a way that supports their hypothesis—no matter what the actual results may be. Clearly, this is unethical. But scientists sometimes do this because they know that studies showing positive results are more likely to be published—and the academic careers of many scientists rely on being published. This also shows an overall confirmation bias in the academic journals that