+
Most Shared

A new study of chimps may suggest our love of cooking has deeper roots than we ever thought.

New research shows that chimps prefer cooked food. Yes, that's actually a big deal — here's why.

People LOVE to cook. A lot.

Like, a lot a lot.


"NOTHING makes me happier than watching my BF flip veggies. Except maybe this polo shirt." All images via Thinkstock.

No, but really. We love to cook so much that we'll spend money to watch other people cook.

"Iron Chef." "Chopped." "Cupcake Wars." "Hell's Kitchen." A bajillion other shows.

Maybe right now you're thinking, "OMG that is soooo true! Cooking is my favorite thing ever!" Or maybe you're more along the lines of, "What no no no get that thing away from me."

"Wow WTF are we even all looking at?" "Just. Keep. Smiling."

But despite your personal feelings (and abilities), you've gotta admit it: Cooking is a huge part of human culture.

So when did our love affair with cooking actually start?

There's some debate among experts as to when humans first started using fire for cooking. But a new study of chimpanzees may suggest that this development came a bit sooner than we'd previously thought — like, maybe a million years sooner.

As reported by The New York Times, Harvard and Yale scientists have been researching whether or not chimps have the necessary cognitive skill to cook.

"Should I make pasta? Or just order pizza???"

Turns out they do.

Not only do chimps prefer the taste of cooked food, they also have the patience and forethought required to forgo raw food.

In a series of experiments, researchers found that not only do chimps prefer the taste of cooked food, they also have the patience and forethought required to forgo raw food to allow someone to cook it for them.

Here's what the scientists did.

They presented the chimps with a slice of raw potato. The chimps would place the potato into the "cooking device" (which was actually just hiding a piece of cooked potato), and the scientists would "cook" it and return the piece of cooked potato to the chimps to eat.

Step 1: Put raw potato in cooking device.

All GIFs from Harvard University via The New York Times.

Step 2: Scientist cooks the potato for you. (Or really just unveils a hidden cooked potato.)

Step 3: Eat delicious cooked potato.

Turns out, the chimp study may tell us quite a bit about our own cooking history.

The fact that chimps could maybe cook — if they had the ability to manage fire — could be a sign that our human ancestors were developing the cognitive ability to cook quite a while before we previously thought they were.

See, experts of human origin believe that the big shift in human brain capacity came when we started using tools about 2.6 million to 3.3 million years ago. More nutrients, more energy, bigger brains.

"TBH I would so much rather be eating cooked banana rn."

But some scientists, including British primatologist Richard Wrangham, believe that we also started cooking shortly after that and that cooking food was actually a bigger deal for our development. Cooked food is advantageous because it's softer (which means less time chewing and smaller teeth) and gives us more energy (which means longer lives, more babies, more travel, and bigger brains).

Cooked food is advantageous because it's softer and gives us more energy.

The problem with Wrangham's theory has been that scientists simply haven't yet found physical evidence to support it. The earliest evidence of using fire for cooking dates back only about 1 million years, long after the use of tools began.

But that's part of why the chimpanzee study is so awesome: It's a mark in favor of Wrangham's theory. It shows that early humans, who would've been cognitively similar to modern-day chimps, just might have had the skills to start cooking many years (like, maybe over a million years) sooner than we thought.

Pretty darn cool, right?

So it's really no wonder cooking has become such a huge part of our culture — we've been doing it for at least 1 million years.

Joy

Nurse turns inappropriate things men say in the delivery room into ‘inspirational’ art

"Can you move to the birthing ball so I can sleep in the bed?"

Holly the delivery nurse.

After working six years as a labor and delivery nurse Holly, 30, has heard a lot of inappropriate remarks made by men while their partners are in labor. “Sometimes the moms think it’s funny—and if they think it’s funny, then I’ll laugh with them,” Holly told TODAY Parents. “But if they get upset, I’ll try to be the buffer. I’ll change the subject.”

Some of the comments are so wrong that she did something creative with them by turning them into “inspirational” quotes and setting them to “A Thousand Miles” by Vanessa Carlton on TikTok.

“Some partners are hard to live up to!” she jokingly captioned the video.

Keep ReadingShow less
All images provided by Adewole Adamson

It begins with more inclusive conversations at a patient level

True

Adewole Adamson, MD, of the University of Texas, Austin, aims to create more equity in health care by gathering data from more diverse populations by using artificial intelligence (AI), a type of machine learning. Dr. Adamson’s work is funded by the American Cancer Society (ACS), an organization committed to advancing health equity through research priorities, programs and services for groups who have been marginalized.

Melanoma became a particular focus for Dr. Adamson after meeting Avery Smith, who lost his wife—a Black woman—to the deadly disease.

melanoma,  melanoma for dark skin Avery Smith (left) and Adamson (sidenote)

This personal encounter, coupled with multiple conversations with Black dermatology patients, drove Dr. Adamson to a concerning discovery: as advanced as AI is at detecting possible skin cancers, it is heavily biased.

To understand this bias, it helps to first know how AI works in the early detection of skin cancer, which Dr. Adamson explains in his paper for the New England Journal of Medicine (paywall). The process uses computers that rely on sets of accumulated data to learn what healthy or unhealthy skin looks like and then create an algorithm to predict diagnoses based on those data sets.

This process, known as supervised learning, could lead to huge benefits in preventive care.

After all, early detection is key to better outcomes. The problem is that the data sets don’t include enough information about darker skin tones. As Adamson put it, “everything is viewed through a ‘white lens.’”

“If you don’t teach the algorithm with a diverse set of images, then that algorithm won’t work out in the public that is diverse,” writes Adamson in a study he co-wrote with Smith (according to a story in The Atlantic). “So there’s risk, then, for people with skin of color to fall through the cracks.”

Tragically, Smith’s wife was diagnosed with melanoma too late and paid the ultimate price for it. And she was not an anomaly—though the disease is more common for White patients, Black cancer patients are far more likely to be diagnosed at later stages, causing a notable disparity in survival rates between non-Hispanics whites (90%) and non-Hispanic blacks (66%).

As a computer scientist, Smith suspected this racial bias and reached out to Adamson, hoping a Black dermatologist would have more diverse data sets. Though Adamson didn’t have what Smith was initially looking for, this realization ignited a personal mission to investigate and reduce disparities.

Now, Adamson uses the knowledge gained through his years of research to help advance the fight for health equity. To him, that means not only gaining a wider array of data sets, but also having more conversations with patients to understand how socioeconomic status impacts the level and efficiency of care.

“At the end of the day, what matters most is how we help patients at the patient level,” Adamson told Upworthy. “And how can you do that without knowing exactly what barriers they face?”

american cancer society, skin cacner treatment"What matters most is how we help patients at the patient level."https://www.kellydavidsonstudio.com/

The American Cancer Society believes everyone deserves a fair and just opportunity to prevent, find, treat, and survive cancer—regardless of how much money they make, the color of their skin, their sexual orientation, gender identity, their disability status, or where they live. Inclusive tools and resources on the Health Equity section of their website can be found here. For more information about skin cancer, visit cancer.org/skincancer.

The mesmerizing lost art of darning knit fabric.

For most of human history, people had to make their own clothing by hand, and sewing skills were subsequently passed down from generation to generation. Because clothing was so time-consuming and labor-intensive to make, people also had to know how to repair clothing items that got torn or damaged in some way.

The invention of sewing and knitting machines changed the way we acquire clothing, and the skills people used to possess have largely gone by the wayside. If we get a hole in a sock nowadays, we toss it and replace it. Most of us have no idea how to darn a sock or fix a hole in any knit fabric. It's far easier for us to replace than to repair.

But there are still some among us who do have the skills to repair clothing in a way that makes it look like the rip, tear or hole never happened, and to watch them do it is mesmerizing.

Keep ReadingShow less
Pop Culture

Artist uses AI to create ultra realistic portraits of celebrities who left us too soon

What would certain icons look like if nothing had happened to them?

Mercury would be 76 today.

Some icons have truly left this world too early. It’s a tragedy when anyone doesn’t make it to see old age, but when it happens to a well-known public figure, it’s like a bit of their art and legacy dies with them. What might Freddie Mercury have created if he were granted the gift of long life? Bruce Lee? Princess Diana?

Their futures might be mere musings of our imagination, but thanks to a lot of creativity (and a little tech) we can now get a glimpse into what these celebrities might have looked like when they were older.

Alper Yesiltas, an Istanbul-based lawyer and photographer, created a photography series titled “As If Nothing Happened,” which features eerily realistic portraits of long gone celebrities in their golden years. To make the images as real looking as possible, Yesiltas incorporated various photo editing programs such as Adobe Lightroom and VSCO, as well as the AI photo-enhancing software Remini.

“The hardest part of the creative process for me is making the image feel ‘real’ to me,” Yesiltas wrote about his passion project. “The moment I like the most is when I think the image in front of me looks as if it was taken by a photographer.”

Yesiltas’ meticulousness paid off, because the results are uncanny.

Along with each photo, Yesiltas writes a bittersweet message “wishing” how things might have gone differently … as if nothing happened.
Keep ReadingShow less