Over the years I've developed a high level of cynicism about most statistics reported in the media, particularly those originating from individuals and organizations that would describe themselves as "feminist". A few days ago I was amused to discover that an article in the journal Eating Disorders critiquing Naomi Wolf's anorexia-related claims had come up with a metric it dubbed WOLF, short for Wolf's Overdo and Lie Factor. This figure was the ratio of Naomi Wolfe's claims to figures from published reviews. What did the study find?
When compared to the relevant epidemiological reviews, however, 18 of the 23 statistics are inaccurate and overdone. On average, a statistic on anorexia by Naomi Wolf should be divided by eight to get close to the real figure.
Note that one factor lowering the WOLF factor to "only" 8-10 was the author of the review giving Wolf the benefit of the doubt where evidence was unavailable, which affected one claim. (Frankly, it seems somewhat absurd to give her the benefit of the doubt given her demonstrated propensity to exaggerate in the vast majority of her remaining claims). Another factor lowering the average WOLF was calculating it using the geometric mean (multiplying all N numbers and then taking the Nth root). The arithmetic mean - what people typically mean when they use the term average - of all WOLF scores in the original edition of the book was 39.3, which goes down to 28.6 when removing her overstatement of anorexia-related deaths.
You can see the results summarized here if you aren't able to access the original paper.