Women Cheat As Partners Don't Do House Chores: Poll

Most women who cheat do it because their partners do not do enough housework, according to a major survey in France. A poll of 10,000 women revealed 73% who were driven to be unfaithful did so because their other half did too few chores. The survey was conducted by Gleedon – a dating website for people already in relationships – and answered by female subscribers. The poll was launched in an attempt to identify the main reason women on the website were tempted to cheat. Almost nine in 10 respondents said they were annoyed by the lack of help doing house work, while 84% revealed it had led to arguments. The results may be of particular concern to white men, who were found to be the worst in Britain at pulling their weight around the house. Black Caribbean men were most likely to do their fair share. The news comes after researchers at the University of Michigan found husbands create an extra seven hours of house work a week, and it is the wives that do it. Another study found couples who share household chores evenly have more sex than those who stick to old sexiest stereotypes.

Molecules On Your Phone An Archive Of Your Lifestyle

The molecules you leave on your smartphone can be used to construct your personalized lifestyle sketches – including diet, health status and locations visited. By sampling the molecules, researchers at University of California San Diego, US, were able to construct lifestyle sketches for each phone’s owner. The study could have a number of applications, including criminal profiling and environmental exposure studies. We can imagine a scenario where a crime scene investigator comes across a personal object – like a phone, pen or key – without fingerprints or DNA, or with prints or DNA not found in the database. So, researchers thought, what if they take advantage of left-behind skin chemistry to tell them what kind of lifestyle that person has. Thirty-nine healthy adult volunteers participated in study; the team swabbed four spots on each person’s cell phone, and eight spots on each person’s right hand. Then they used a technique called mass spectrometry to detect molecules from the samples. They identified as many molecules as possible by comparing them to reference structures in the GNPS database, a crowd sourced mass spectrometry knowledge repository and annotation website developed by researchers. With this information, the researchers developed a personalized lifestyle ‘read-out’. By analyzing the molecules left behind on phones, they could tell if a person is likely female, uses high end cosmetics, dyes her hair, drinks coffee, is being treated for depression…all kinds of things. To develop more precise profiles, researchers said more molecules are needed in the database, particularly for the most common foods people eat, clothing materials and wall paints, among other things.