(Article by Susan Duclos republished from AllNewsPipeline.com)
A quick flashback into the previous research before delving into the report recently released which confirms many of the findings from the other studies.
• White women, ages 18-29, who identified as liberal were given a mental health diagnosis from medical professionals at a rate of 56.3%, as compared to 28.4% in moderates and 27.3% in conservatives. - Source
The study, which examined white liberals, moderates, and conservatives, both male and female, found that conservatives were far less likely to be diagnosed with mental health issues than those who identified as either liberal or even “very liberal.”
• People who are married statistically are wealthier, have higher rates of happiness and fulfillment, and even have better health than their single, divorced, or cohabitating counterparts. - Source
• Only 37% of liberals are married, while 56% of conservatives are married. - Source
Related: Young Liberal Women Are Statistically The Unhappiest And Most Mentally Ill Demographic In America
Some key points from Survey Center on American Life, from a piece titled "The Despair of Young Liberal Women."
Compared to conservatives, liberals are less inclined to prioritize activities that are strongly associated with personal fulfillment.… Over the past 20 years, liberals have become less closely connected to religious organizations and churches. Only 35 percent of liberals report being a member of a church or place of worship. Marriage rates among liberals have also declined precipitously. Only 37 percent of liberals are currently married, compared to 56 percent of conservatives.
THE PARTY OF 'UGLY' CONTEMPT
The above image was a meme that has been going around for years, possibly decades, comparing the looks of liberal women and conservative women, and now, according to a new study published by Scientific Reports, that question has been answered.
Scientists in Denmark used machine algorithms on images of politicians, male and female, to see how accurately the machines could identify the political ideology of the person in the image, just by their faces.
First off the photographs used were provided to the Danish Broadcasting Corporation (DR) for use in public communication by the candidates themselves, so no human "choice" was involved. In other words, researchers did not pick and choose for desired results.
The final data set, after exclusions of politicians not be classified as left wing or right wing and those with beards because they can hide facial expressions. They also excluded photos of candidates who did not appear to be of European ethnic origin. "The reason for this exclusion was that candidates of non-European origin, while easy to visually identify, were 2.5 times more likely to be representing left-wing parties."
The accuracy of the predictions were 61%.
To predict facial attractiveness scores for our sample we use the publicly-available SCUT-FBP5500 dataset (https://github.com/HCIILAB/SCUT-FBP5500-Database-Release). This dataset consists of 5500 faces rated by 60 raters using a beauty score ranging from 0–4. (Scoring attractiveness as the average value from multiple raters is commonly employed in political science studies on facial attractiveness..
The conclusion, succinctly summarized by PsyPost, finds that "Faces of right-wing politicians were more likely to have happy and less likely to have neutral facial expressions. Women with attractive faces were more likely to be right-wing, while women whose faces showed contempt were more likely to be left-wing."
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