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Ryan Reynolds Shocks With Kamala Removes Nasty Orange Stains Shirt
05
Aug
Aug
In late July 2024, a photo went viral on social media platforms such as X and Threads, showing actor Ryan Reynolds wearing a black shirt with the words: “Kamala removes that nasty orange stain.” The message was an apparent reference to US Vice President Kamala Harris and former US President Donald Trump, who are expected to compete in the presidential election on November 5, 2024.
Checking the Authenticity of the Image
Many online retailers were quick to offer versions of the T-shirt with the design, which was inspired by the Tide laundry detergent brand. However, there are no credible news sources mentioning Ryan Reynolds wearing the shirt. Additionally, his official Instagram account does not have any photos of him wearing the Kamala Removes Nasty Orange Stains Shirt.
Snopes conducted an investigation to verify the photo but was unable to determine its origin. Reverse image searches on Google only led to edited social media posts. Snopes tried cropping the photo and searching Getty Images but found no matches.
Differences in the lighting, shadows, and texture of the logo and text on the T-shirt suggest that the slogan was either digitally added or that he’ head was transplanted onto someone else’s body. While the logo on the T-shirt looks smooth, the computer-generated creases create the illusion of wrinkled fabric. This makes it even more clear that the image is not real.
Ryan Reynolds and the Challenge of Misinformation
Ryan Reynolds, who was born in Canada, became a US citizen in 2018 and voted for the first time in the 2020 US presidential election. He shared on X: “Yesterday, I voted for the first time in a US presidential election. Honestly, it was one of the most exciting things I’ve ever done. I’m optimistic about the future. I’m excited to be a part of this process.”
Digitally altering celebrity images to create misinformation is a common problem that Snopes has encountered. To protect yourself from misinformation, you can learn how to spot fake images here.
