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Republican election official in Georgia publicly debunks President Trump's fraud claims

By now most Americans have heard, or at least heard about, President Trump's hour-long phone call with Georgia's Secretary of State, Brad Raffensperger, in which the sitting president attempted to convince the official in charge of Georgia's election to "recalculate" and "find" him enough votes to overturn the state's results in his favor.

The criminal implications inherent in the asking aside, the phone call was filled with baseless allegations that the president has "heard" and that "Trump media" has been sharing. It's the constant drumbeat of the past two months—the counts are wrong, the machines were rigged, the votes were flipped, the ballots were counted multiple times, fake ballots were brought in, signatures weren't checked, the recount was wrong, the audit was corrupt, and so on and so on and so on. The breadth and depth of fraud allegations is stunning, which is exactly the point. One or two allegations are easily checked and either verified or debunked. Flooding media with every allegation in the book makes it 1) impossible to debunk due to the sheer volume, and 2) more likely that some of the allegations will be believed, regardless of actual evidence.

It's Steve Bannon's "flood the zone with sh*t" approach to handling the media, and unfortunately, it works.


However, at some point, people need to realize that the real experts on elections are the actual experts on elections. That's not the president of the United States. That's not random poll observers. That's not any of the Newsmax or OAN reporters. That's not any of the so-called "data scientists" (some of whom hilariously turn out to be Sean Hannity's producer) who make claims in non-binding hearings but not in court.

In the U.S., the people elected and appointed to serve as state election officials are the final authority on whether or not an election was run properly. (Unless a lawsuit leads to a court deciding that something went awry, of course. As of now, Trump's legal team and allies are 1 and 61 in court for election cases. The one case they won just allowed poll watchers to stand a few feet closer to the poll workers.)

One of those election officials, Republican Gabriel Sterling who serves as the Voting Systems Manager for the Secretary of State office in Georgia, spoke at a press conference today to set the record straight on the continued allegations.

"We've seen nothing in our investigations of any of these data claims that shows there are nearly enough ballots to change the outcome. And the secretary and I at this podium have said, since November 3rd, there is illegal voting in every single election in the history of mankind because there are human beings involved in the process. It's going to happen. So the question is limiting it and putting as many safeguards as you can in place to make sure that it doesn't happen."

Sterling mentioned the hand tally and the allegation that Dominion machines used "fractional voting" or flipped votes. "Again, by doing the hand tally, it shows none of that is true," he said. "Not a whit."

He also addressed the overall claims about the Dominion voting systems, pointing out that in the counties in Wisconsin and Pennsylvania that used Dominion voting machines, Trump actually won a majority of the vote. Then he debunked the idea that 900,000 votes had been deleted, as that would have meant a mathematically impossible turnout to begin with.

"Again, this is all easily, provably false," he said. "Yet the president persists."


Regarding Trump's allegation that some part of the Dominion machines were being switched out, Sterling said, "This one I don't fully understand. No one is changing parts or pieces out of Dominion voting machines. That's not -- I don't even know what that means. That's not a real thing. That's not happening. The president mentioned it on the call...from two days ago. That's, again, not real. I don't even know how exactly to explain that."

Visual aids are always helpful, so there was also a CLAIM vs. FACT poster displayed next to Sterling as he spoke that gave specific responses to specific numbers claims. Why people just believe numbers they see online instead of going to the source—again, the actual election officials—to see the actual, verified numbers is a bit baffling, yet here we are. Here's a close-up of the poster:

Again, Sterling is a Republican (as is Georgia Secretary of State Brad Raffensperger, as Georgia's governor Brian Kemp, all of whom stand by Georgia's election result). He wanted Trump to win. He mentioned that Trump's allegations might be discouraging people from turning out to vote—especially Republicans who might be convinced that the election system is so flawed that there's no point in participating in it.

"Everybody's vote is going to count," Sterling said. "Everybody's vote did count."

Sterling referred to his press conference as yet another "Whack-a-mole" event, alluding to the fact that he has had to debunk these allegations over and over again, one at a time, for two months since the election. At one point he said he had screamed at his computer when he heard an allegation that's been debunked many, many times. So many of the "suspicious" allegations of fraud we've heard in testimonies and read in affidavits are just normal vote collecting and tallying processes that lay observers simply don't know are normal.

The poor guy sounded like an exasperated parent who's having to lecture their teenager about something they already should know for the hundredth time. Can't really blame him. It's exhausting to constantly battle a flood of misinformation and disinformation, especially when it's coming from the president himself.

You can watch the entire press conference here:

Georgia Secretary Of State's Office Holds Press Conference | NBC Newswww.youtube.com

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.

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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.

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.

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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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