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Contrary to news headlines, bystanders actually do step in to help folks most of the time
Photo by Adelin Preda on Unsplash

A multinational study found that bystanders intervene in 9 out of 10 public conflicts.

The recent news report of a woman on a Philadelphia train being raped while onlookers did nothing to stop it was shocking and horrible, without question. It also got people discussing the infamous "bystander effect," which has led people to believe—somewhat erroneously, as it turns out—that people aren't likely to intervene when they see someone being attacked in public. Stories like this uninterrupted train assault combined with a belief that bystanders rarely step in can easily lead people to feel like everything and everyone is horrible.

But according to the most recent research on the subject, the Philadelphia incident appears to be the exception, not the rule. A 2019 multinational study found that at least one bystander (but usually more) will actually intervene in 9 out of 10 public conflicts.

The idea that people in groups aren't likely to intervene stems largely from research on the 1964 story of Kitty Genovese, a 28-year-old woman who was stabbed to death outside her apartment in New York, while dozens of onlookers in surrounding apartment buildings allegedly did nothing. However, further research has called the number of witnesses into question, and it appears that several did, in fact, call the police. Someone reportedly shouted out their window and scared the attacker away for a few minutes, and someone did rush to Genovese's aid after the second attack.


The bystander effect is real in the sense that people are less likely to intervene if there are other people around than if they are the lone bystander. But that doesn't mean that more people equals less intervention. The 2019 study by psychologist Richard Philpot and his four co-authors found the opposite, in fact—the more people who witnessed a conflict, the greater the likelihood that someone would step in. The study, which included observations of video footage from real-life public conflicts in the Netherlands, South Africa and the United Kingdom, found that one or more witnesses made a prosocial intervention in 90.7% of public conflicts, with an average of 3.8 witnesses intervening each time.

"We record similar likelihoods of intervention across the 3 national contexts, which differ greatly in levels of perceived public safety," wrote the authors. "Taken together these findings allay the widespread fear that bystanders rarely intervene to help. We argue that it is time for psychology to change the narrative away from an absence of help and toward a new understanding of what makes intervention successful or unsuccessful."

We all like to think we'd intervene if we saw someone being harmed in public, but it's easier to imagine acts of heroism than to actually do them. When witnessing a conflict or attack as a group, people often think someone else is more suited to stepping in or assume that someone else will do it. In some circumstances, someone might determine that intervening is too risky, especially if weapons are involved. Add in the real-time nature of an unexpected event where a person might be shocked or confused about what's happening, and it's not surprising that many people end up not intervening.

The Philadelphia train rape story is horrific, and the police in the case are right—someone (or several someones) on that train should have done something to stop it. But that case is not the norm. It's far more likely that someone will help you if you are being harmed and people are witnessing it.

Everything and everyone is not horrible, truly. There are exceptions to every rule, of course, but we shouldn't let the heinousness of a single story or two lead us to believe the worst about humanity. Most of the time, someone will do the right thing. Most of the time, in a public conflict or attack, someone will intervene. And perhaps with better education about how to successfully stop someone from being harmed, we could make the odds even greater than 9 out of 10.

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.
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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.

via Dion Merrick / Facebook

This article originally appeared on 02.09.21


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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.

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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.

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