An Incredibly Powerful 7.1M Earthquake Just Struck Mexico City

By: Robin Andrews/IFLScience  An incredibly powerful earthquake, registering as a 7.1M, has rocked Mexico City, a densely-packed metropolis containing nearly 20 million people, and its many suburbs and nearby towns. According to the United States Geological Survey (USGS), it was a deep-seated earthquake (51 kilometers/32 miles depth) that struck at 1:14 pm local time. The epicenter was 122 kilometers…

Thanks To Lobbying, It’s Illegal To Power Your Home With Solar Panels In Florida

By: Robin Andrews/IFL Science  It may have ravaged much of the Caribbean, but Hurricane Irma weakened mercifully quickly as it passed over Florida. That’s not to say that it didn’t cause significant infrastructural damage, of course, and soon after the storm had passed, 40 percent of Florida lacked electricity, something that ended up killing several people who relied on it….

Sign Language Interpreter Decides To Warn People Against Something Quite Different During Hurricane Irma

By: Robin Andrews/IFL Science  Some things are too important not to double check. If you’re leaving on vacation, you check you’ve got your passport. If you’re about to perform a triple-bypass surgery, you confirm that you’ve got all the right equipment and expertise to hand. If ladies and gentlemen, you’re warning people to get out…

Jim Carrey Gives A Bizarrely Insightful Interview – ”We Are A Field Of Energy … And I Don’t Care”

By: Educate Inspire Change  We haven’t heard much from funny man Jim Carrey lately, as he explores his artistic skills and faces a wrongful death trial over his ex-girlfriend’s suicide. But his latest public appearance shows he hasn’t lost his comedic personality as he trolls an entertainment reporter so hard that she’s genuinely left speechless. He looked…

LGBTQ Groups Condemn “Dangerous And Flawed” Facial Recognition Intended To Predict Your Sexuality

By: James Felton/IFL Science  LGBTQ groups have condemned as “dangerous” an algorithm developed by Stanford University to predict whether you are gay or straight based on your face. Stanford claims the tech, which uses facial recognition, can distinguish between gay and straight men 81% of the time, and 74% of the time for women. Several prominent LGBTQ…

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