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Horoscope for Month of December 2011 and Week of November 28, 2011
Lucky Numbers for the Week of December 2, 2011

Predictions by Statistics - December

Psychic If you believe as I do that astrology is another form of personality profiling, then you might also believe that regular math and statistics can also help to predict the future. Here are some Spring and Summer statistical predictions of human behavior as reported in the New York Post. This data was culled from various scientific sources:

 

DECEMBER:

Most likely to break up If you’re still with your honey, you’ve already cleared the biggest hurdle of the year for breakups. British author, designer and obsessive data collector David McCandless recently analyzed more than 10,000 Facebook status updates to see if there were any patterns when couples tend to split up. He found the two weeks leading up to Christmas are by far the most popular time to separate, followed by spring break and the weeks leading up to Valentine’s Day. Mondays, in general, are also a popular time to use the “we need to talk” line. “This ties into the whole stress of the holiday season,” Kruger weighs in. “The holidays are supposed to be a time of celebration, but there’s so much we have to do for it that it just becomes a burden and stressful.” There are limitations to the results, however — for example, it might take people a few days or weeks to update their relationship statuses.

CHRISTMAS DAY:

Least likely to break up On the flip side, according to the Facebook study, you’re pretty safe on Christmas Day, so breathe easy, open some presents and sip some eggnog, knowing your relationship has weathered the dreaded holiday season. “This is when everyone is getting together and celebrating the holidays. You just want to avoid that [breaking up] situation,” Kruger says. The dog days of August are also a low-risk time for breakups, according to the study.

Read more: http://www.nypost.com/p/entertainment/forecast_your_new_year_lEn5qUZ6cSg0q8askoegGL#ixzz1A52uxlWC 

I guess you can make predictions out of everything. To see how, read How to Lie with Statistics

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