I agree with the review from Michael. This could be made much better with a more detailed questionnaire. For instance, the question on exercise being how many days per week do you exercise 30 minutes or more. This is based on the old metric of 30 minutes a day at least five days a week equals 150 minutes per week. This is based on moderate exercise. However, if you exercise in your upper heart rate range, which I do, the same benefit can be accomplished with 75 minutes of exercise per week. And does not even take into account whether or not you do strength training, especially for older adults. Muscle gain is extremely important. So a more detailed question could cover the total minutes per week you exercise and the intensity. This is just one example. But I paid my five bucks and got an interesting result. I just hope my retirement savings last that long if this prediction comes to pass. Lol.

The concept of making an assumption about date of death is good, but the input info is not detailed enough for any believable accuracy. For instance: diet is not considered, diabetes, sleep disorders, certain medications, and many other life shortening diseases and conditions are not asked. Yes, I know most Americans have a very short attention span. Build a more scientific and transparent app for those of us with a brain. I would pay for an app that used more subjective criteria to arrive at a believable outcome.

This app features the most important items when evaluating life expectancy. One of my physician friends always says “ you cannot escape your genetic profile.” No truer words have been spoken. The app allows you to plug in different data points to see how lifestyle, genetic profile, and other key components effects one’s longevity.

I completed the questionnaire on the Livingto100 website but was not able to complete my login so I did not receive the results (bug on the site). I purchased the app thinking I’d be taking the same questionnaire but the app included only a small fraction of the questions on the website. Not feeling at all confident with the results based upon the very limited data collected.