If you remember the movie Who Framed Roger Rabbit then you probably recall the voluptuous character, Jessica Rabbit. I'm not gonna lie, even I thought she was hot, but one woman took her obsession to a whole new level. Penny Brown is a 25-year-old pin-up model who admires Rabbit so much, she got breast implants and shrunk her waist down to look EXACTLY like her.
Her transformation is quite SHOCKING and dare I say it, ALMOST as bad as the Human Barbie.
Read more ¿Qué más?: Crazy woman wears a faja 24/7 to get tiny 16-inch waist & wants it to get even smaller! (VIDEO)
Brown says her obsession began when she was 5 and first saw the movie. "I think she is incredibly sexy and there's a real power and strength to her character. I've always wanted to copy that–at five I was already thinking about breast implants," she said. She certainly did follow through with her dream and two years ago had her 34H breasts enlarged to a 36O. In addition to this change, she also started corset training by wearing a corset up to 23 hours a day to whittle her waist down to 26 inches.
Brown's faja restricts her from sitting, lying down, exercising even eating a proper meal. "At first I wore the corset too much and I experienced some pain and discomfort, but now I know how much my body could handle," she explained. And believe it or not, she's still going to keep going until she achieves the tiniest waist possible.
The person who got lucky from her transformation is her husband Cooper who loves her new look. He calls it "exciting and interesting." Well, that's one way to put it!
Whenever I see shocking transformation stories such as this one, it kind of freaks me out. I don't know why some people are more prone to make extreme changes on their bodies while others completely shy away from it. I don't see what the purpose of this woman looking like Jessica Rabbit is going to do for her, but if she's happy with it then so be it! At least she still looks somewhat human unlike the other crazy Human Barbie lady.
Images via Penny_underbust/Instagram
