Scientists develop terrifying AI-powered death clock that predicts when you’ll die – are YOU brave enough to try it?
SCIENTISTS have developed a terrifying AI-powered app that can predict when you die – and you can try it now if you’re brave enough.
Death Clock is the innovate programme that takes factors such as diet, exercise level and sleeping habits into account when calculating life expectancy.
The morbid app launched in July and has already been downloaded over 125,000 times.
Anecdotal evidence suggests that the results are relatively optimistic.
For example, TechCrunch reporter Anthony Ha learned that he would die at the ripe old age of 90, with a chance to extend his life to 103, if he makes some lifestyle changes.
There are some institutions that contradict Death Clock’s data, however.
The Social Security Administration’s mortality rates table estimates that an 85-year-old man in the US has about 5.6 years to live.
The app uses a dataset of over 1,200 life expectancy studies and 53 million participants to provide personalized death predictions to its users.
Death Clock users are required to answer a questionnaire that includes basic demographic information.
This includes as age, gender, and ethnicity, as well as detailed questions about family history, mental health, and chronic diseases.
Diet, exercise habits, stress levels, and sleep patterns are also factored included in the calculations.
DEATH CLOCK BENEFITS
The technology is being eyed by industry professionals who believe it could change the game when it comes to things like financial planning.
It could offer more accurate data for these industries, potentially transforming how policies and personal financial strategies are developed.
Financial planner Ryan Zabrowski told Forbes: “A huge concern for elderly people, our retirees, is outliving their money.”
Something like Death Clock could help people make more informed decisions when it comes to their cash.
There has been a growing interest in research on AI-driven life expectancy tools in recent years.
One study, titled “On the Limits of Chronological Age,” challenges the idea that chronological age is an accurate measure of an individual’s ability to function.
The researchers suggest that policies based on age, such as retirement, may overlook other factors that influence economic behaviour.
Another focused on the “value per statistical life” (VSL), examining how older Americans are willing to spend on medical services to reduce mortality risk.
The study found that those in better health are willing to spend significantly more, which could impact economic policies related to healthcare and insurance.
This comes after life expectancy in some of the most influential nations has lagged behind in recent years.
According to stats from Data Commons 2022, Americans have a life expectancy of 77 years, and the UK has 82.