by bintangkecil on Tuesday, October 20th, 2009 | Health, Humour, Knowledge, Life | No Comments

Do you want to estimate when you’ll die?

The Life Expectancy Calculator is what they call the livingto100.com site. You cal also call it as the online death calculator (same thing).

This site asks you to answer 40 questions related to your health and family history, and it takes about 10 minutes to complete. The test is from a New England study and comes as Japan has the word’s longest life expectancy of 83 for kids born after 2007. The U.S. is 80 years old for births after 2007.

The study found that reaching age 100 will become more normal for people born this decade. Countries that will show longer life expectancies include France, Germany, Italy, UK, US, Canada, and Japan. It also found a gene called FOXO3A is common in people living over 100.

Thomas Perls MD, MPH is the founder and director of the New England Centenarian Study, the largest study of centenarians and their families in the world.

On their site, it says “Flossing Adds 1.5 Years to Your Life Expectancy!”
Did you guys know this?

Livingto100.com and Dr. Perls recommend flossing daily with Glide Floss because it slides easily between tight teeth and makes flossing a comfortable and self-reinforcing habit that can add years to your life.

To try the site, please click here.

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by wildcherry on Thursday, August 27th, 2009 | Knowledge, Life | No Comments

Do you want to know whether you’ll likely be dead next year? Well you can calculate your death risk over the next year online using the death calculator.

I did a calculation of my chance to be murdered (choose your way of dying) and mine turns out to be 50 over 1 million!!! Not satisfied with my result i choosed cancer as a different way of death. The results turns out to be 158 out of million. So i guess i’m more likely to die from Cancer next year than to be murdered!

Death risk rankings, a new website from Carnegie Mellon, allows you to calculate your death risk rankings over the next year. The website tells you where you rank in terms of dying for up to 66 causes of death. Death risk rankings was developed to provide valuable health information that compares disease rates, risk of death based on ethnicity, and location.

Death risk rankings is also designed to help regulatory policy makers track human health trends. The site was developed through a coordinated effort between the Carnegie Mellon team and the Center for the Study and Improvement of Regulation.

Death risk ranking calculates risk of dying in MicroMorts. You can find predictions about the causes of dying in your locale, in any age group, ethnicity, and by cause. A MicroMort is a one in million chance of death.

Death risk rankings can also be converted to number of deaths, percentage, number of people in each category.

Predictions delivered by death risk rankings is a new and innovative technology, designed by Carnegie Mellon researchers to help regulatory agencies track leading causes of death across the globe. In addition to death risk rankings, Carnegie Mellon is working to multiple interactive tools “in areas traffic safety, mortality risk, vehicle technology, and hospital admissions.”

Below is some excerpt from their site:

The forecasts for beyond one year are calculated using a “survival” function. For example, the forecast for a 40-year old male in the US to live another five years is 14,554 MicroMorts (i.e, about a 1.5% chance of dying within the forecast period). The calculation uses MicroMorts for each of the successive five years,. The number of MicroMorts for a 40-year old is 2,497, meaning that for each 1,000,000 40-year olds, on average 1,000,000 – 2,497 = 999,997,503 survive. The number of MicroMorts for the second year is 2,706, so the number of people expected to survive for two years is 999,997, 503 x (1,000,000 – 2,706) / 1,000,000. Using the MicroMorts from the table, we can see that the five-year forecast is calculated as

(1,000,000 – 2,497)
x ((1,000,000 – 2,706)/1,000,000)
x ((1,000,000 – 2,920)/1,000,000)
x ((1,000,000 – 3,143)/1,000,000)
((1,000,000 – 3,371)/1,000,000) = 14,552

Try it here: DeathRiskRanking

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