We all have about 22,000 genes and sometimes we share enough genes with our family to be an almost identical copy of them. Although there may be 50 years between the 2 photos, their faces look the same thanks to the magic of these genes. There are some people who are carbon copies of their relatives, confirmed by their photos that simply blow us away.
Bright Side would like to share with you just how cool our genes can be with some exceptional photos we found.
1. “My mom and sister, both at age 6”
2. “My mom (left) age 4 in 1971. Me (right) age 4 in 2001. I see why people say we look alike.”
3. Grandmother 1941 and granddaughter 1999, same genes
4. “Me, 1992. Mom, 1954.”
5. “Here’s me and my fraternal twin.”
6. “Me on the left (circa ’90s, Canada) and my grand-dad (circa ’40s, Ireland).”
7. “My old man and me at the same age, 35 years apart.”
8. “Me in 1971 and my son in 1994”
9. “My mother at age 21 (L) and me at age 27.”
10. “My father, age 24 in 1951. And 24-year-old me.”
11. “I always knew that my mom and sister looked alike, but seeing them side by side is uncanny.”
12. “My brother (2016) and my grandfather (1948)”
13. “I’ve been told a lot that I look like my Finnish grandma.”
14. “My dad 1958… Me 1988.”
15. “Side-by-side comparison of my identical twin and me.”
Who do you look most like in your family? Share a photo of someone you look like so that we can compare!
Preview photo credit mrobry / Pikabu
Here’s What You Need To Know If You See Someone Wearing Shoes
Computer scientists from Austria have introduced a groundbreaking shoe, called InnoMake, designed to help blind individuals navigate obstacles while walking,
Developed by Tec-Innovation and Graz University of Technology, this innovative shoe, priced at over $3,000, boasts waterproof ultrasonic sensors on each toe, capable of detecting obstacles up to 13 feet away.
As wearers approach objects, vibrations and sounds alert them, akin to parking sensors in vehicles. Markus Raffer, a visually impaired co-founder of Tec-Innovation, has lauded its effectiveness, noting personal benefits.
Each foot features a dedicated sensor, available as a complete shoe or retrofit option, capable of identifying an object’s nature, be it a wall, car, or stairs, and providing tailored alerts.
Future plans include incorporating camera-based recognition and machine learning for improved navigation assistance, potentially offering a “street view navigation map” for users.
Friedrich Fraundorfer at TU Graz emphasized the shoe’s potential to revolutionize the lives of visually impaired individuals, granting them greater independence and safety in navigating their surroundings.
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