Bisexuals face higher risks of mental illness
Although it's been hinted at over the years that bisexuals have higher levels of depression than either heterosexuals or gays and lesbians, only a handful of studies have looked at this kind of data. But a meta-analysis (looking at the data of several studies together to look at overall trends) of bisexuality and mental illness research suggests that this is a consistent and common reality for bisexuals.
This meta-analysis, published in the Journal of Sex Research, looked at the data from 52 research studies and concluded that bisexuals have significantly worse mental health than heterosexuals, and equal or worse mental health than gays and lesbians. Although being bisexual does not necessarily mean you'll face depression or anxiety, bisexuals have a higher risk than pretty much everyone else.
This sucks for bisexuals, but it also encourages us to find ways for bisexuals to feel more accepted and visible both in queer and general cultures.
Porn users like MILFs, anal sex and lesbians
PornHub is arguably the web's No.1 pornography portal, and the information they have on our sexual desires is definitely worth paying attention to. Aside from launching a sexual wellness portal in response to the lack of good sexual education in North America (yay!), they also published a report on 10 years of data collected over the lifetime of the site.
Lesbians is apparently the No.1 category of all time. MILFs follows closely at No.2; anal comes in at No.7. Porn users apparently find lesbians arousing, as this category topped all others in 2015, 2016 and 2017.
Pornography both reflects and influences our sex lives. PornHub data can tell us a lot about sex trends from year to year.
Computers are better at identifying sexual orientation through faces alone
Sex research is not without controversies. One of the biggest in the field this year was a finding that computers could identify gay people with 81% accuracy, and lesbians with 74% accuracy. In other words, a computer does a much better job at this than humans, who perform at 61% and 54%.
This project rightfully raised some concerns from the LGBTQ community: if computers can identify sexual orientations from face pictures alone, there's quite a risk that people with bad intentions might use that information to further discriminate against them. But the research also contributes to the biological argument for sexual orientation: if the faces of gays and lesbians are different than those of heterosexuals, then sexual orientation is less likely a choice and much more likely something innate.