
(Back from two weeks in Milan, where I attended the 2015 IAAE conference, visited Expo 2015, took some time off, and saw friends I had not seen in a long time. This week’s ‘Metrics Monday is a bit different in that it is not so much about econometrics, but about the consumers of results generated by econometrics, and the need for better statistical education at an early age.)
In a conversation on this blog’s Facebook page a few weeks ago about a new working paper, a friend asked “Does this support [X] or not?” Given that the paper under discussion looked at a number of outcomes and presented a mixed bag of results, and given that the results were not causally identified, I responded: “There is no simple answer to that question. There is a little bit of everything for everyone here. Read the limitations section, too.” My friend then said she had done that but was still confused, and that “We all know it’s much easier to lie with statistics than tell the truth.”
Is it? Or is it just much easier to be misled by statistics than it is to lie with them?