
That's the conclusion made by Vox Day at his blog, based on a recent informal study of professionals in Britain. He says it's "increasingly understood that they're far more inclined to marital infidelity than the average woman."
His assertion is pulled from author Angela Levin's 5-month study in Britain of middle-class professionals that sought to find answers to why the UK is in the midst of an "infidelity epidemic," as reported in the Telegraph.
After talking during that time to a number of male and female executives who admitted to being unfaithful, she said, "What was remarkable was that not one of the women said they felt guilty. And those who believed they might get emotionally involved tried to work out hard-headed strategies of dealing with it."
At Day's blog, he concluded, "I can't think of a single rational reason why a man should intentionally elect to marry a woman who decides to seriously pursue a career. Wife and mother is a full-time occupation and a far more important one to society and the human race than 99 percent of what passes for the so-called careers of the full-time professional woman. No one of either sex can have it all, and a decision to become a professional woman is a very clear public statement of where a woman's priorities are. (Hint: not you, not the children, not the family.)
"... There will always be exceptions, of course, and there's certainly no shortage of non-career women who don't wish to work but do so in order to support their families, but the fact that researchers are concluding that professional women's marriages are inordinately likely to end in infidelity and divorce should come as no surprise, it is simply the logical probability."
This actually doesn't surprise me, as watching couples through the years which include the hard-driven career women, they break up far more than those marriages where the women either prefers to work in the home, or has to work out of necessity.
Day's final statement on the issue: "This advice may sound terribly clinical, I know, but in truth it's just the rational conclusion of applying logic and probability to the empirical data that's available."
Have you found this to be true as well?
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