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In a 1968 interview, William F. Buckley Jr. sat down with the legendary conservative economist Milton Friedman to talk about something called the negative income tax.

What is a negative income tax, you ask?


Friedman's negative income tax proposed that we eliminate poverty with one fell swoop by providing everyone with a livable income, no matter what their employment status is.

Wow, right?

Before we move forward, let's acknowledge that there's something not quite perfect about an old white guy coming in to save the "helpless poor people" (see The White Savior Industrial Complex). But Friedman's idea of a negative income tax is worth discussing not because he's such a nice guy; it's worth discussing because it's a valuable policy idea.

A variation of Friedman's plan is often referred to as a guaranteed basic income. Here's how the blog io9 describes it:

"The idea of a guaranteed basic income, also referred to as unconditional or universal basic income, is starting to gain traction in many parts of the world, both in developed and developing nations. It's actually a very simple idea: Everyone in society receives a single basic income to provide for a comfortable living whether they choose to work or not. Importantly, it's only intended to be enough for a person to survive on. The money for this social welfare scheme could come from the government or some other public institution, in addition to funds or income received from other sources. It could be taxable, or non-taxable, and divvyed (sic) up on a continual basis, monthly, or annually."

Perhaps the biggest red flag might be that when we just give people money, it could destroy their incentive to work. But as Vox explains, the effects would probably not be as detrimental as some might fear:

"As noted above, a real basic income has never been implemented across a whole country, which makes macroeconomic effects hard to predict. But we do have some experimental evidence on the question of work effort, drawn from the negative income tax experiments in the US and Canada in the 1970s. Those studies found that work effort declined when a negative income tax was imposed, as predicted, but that the effect was quite small. Moreover, most of the reduction in work effort appeared to come from people taking longer stints of unemployment. That can be a bad thing, but it can also mean that people aren't settling for second-best jobs and holding out for ones that are better fits for them. That'd actually be good, economically. Additionally, the work effect reduction for young people appeared to come entirely from increased school attendance— also a desirable outcome."

Now, Friedman was probably not predicting driverless cars, 3D printing, or a whole host of other technological advances that will increasingly replace humans in the workplace, but let's face it: We need a plan for when the robots take over everything. Again, io9:

"Advocates argue that a basic income is essential to a comprehensive strategy for reducing poverty because it offers extra income with no strings attached. But looking ahead to the future, we may have little choice but to implement it. Given the ever-increasing concentration of wealth and the frightening prospect of technological unemployment, it will be required to prevent complete social and economic collapse. It's not a question of if, but how soon."

Hard to argue with eliminating poverty and saving the world from collapse, right? I mean, you could argue with that, but I would just listen to Friedman instead.

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P.S. William F. Buckley Jr. says a few things (sigh, stereotypes) that will make you facepalm — apologies in advance.

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


At 1:30 am on Monday morning an AMBER Alert went out in southern Louisiana about a missing 10-year-old girl from New Iberia. It was believed she had been kidnapped and driven away in a 2012 silver Nissan Altima.

A few hours later at 7 am, Dion Merrick and Brandon Antoine, sanitation workers for Pelican Waste, were on their daily route when they noticed a vehicle that fit the description in the alert.

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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.

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.

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