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Poor Communication Main Cause of Marriage, Cohabitation Breakdown

posted by n1 on Tuesday March 28 2017, @01:03PM   Printer-friendly
from the xkcd-523 dept.

Phoenix666 writes:

The most common reasons given for the breakdown of marriages or live-in partnerships in Britain are communication problems and growing apart, according to analysis by UCL researchers of the latest National Survey of Sexual Attitudes and Lifestyles (Natsal-3).

[...] Natsal is the largest scientific study of sexual health lifestyles in Britain. It is carried out by UCL, the London School of Hygiene & Tropical Medicine and NatCen Social Research [sic]

Natsal is run every 10 years, and includes a representative sample of men and women resident in Britain aged between 16 and 74. Natsal-3 was carried out between 2010 and 2012.

The study focused on the responses of 706 men and 1254 women to questions about their reasons for breakdown of a marriage or cohabiting relationship in the past 5 years.

[UCL is, of course, University College London. It has as part of one of its faculties the above-mentioned school.]

I would have guessed footie.

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  • (Score: 2) by jimtheowl on Tuesday March 28 2017, @07:31PM (2 children)

    by jimtheowl (5929) on Tuesday March 28 2017, @07:31PM (#485415)
    I didn't say it was common, I said it existed. You know that but are willfully ignoring it.

    Believe what you want - I coudn't care less.
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  • (Score: 2) by Grishnakh on Tuesday March 28 2017, @08:04PM (1 child)

    by Grishnakh (2831) on Tuesday March 28 2017, @08:04PM (#485438)

    I can ignore it because it's irrelevant. Something that's a statistical aberration is not evidence of anything. The fact is, monogamy is extremely rare in the animal world, and more importantly doesn't exist among the other Great Apes.

    • (Score: 2) by jimtheowl on Wednesday March 29 2017, @07:11AM

      by jimtheowl (5929) on Wednesday March 29 2017, @07:11AM (#485735)
      Your use of statistics reeks of posturing. By that argument, the Queen in a beehive would be a statistical aberration. No need for excuses; you can ignore it because you choose to.