Who wants to live forever?

Articles from http://www.sciencesquared.eu/who-wants-live-forever

Who wants to live forever?

We are living longer. How can we live better?

Your mother’s diet, your immune system and air pollution are among the many factors affecting how long you live and whether you develop Alzheimer’s or cancer. ERC researchers are unravelling the secrets of longevity, exploring ways of adding ‘life to years’ as well as ‘years to life’. (Hint: It helps to be a monk.)

Story by Gary Finnegan
Video by Sabina Brennan
Design by Ben Newton.

Let’s start with the good news: most Europeans born today will live long lives – on average, 78 years for men and 83 years for women.

Now the bad news: although they will live longer, they will not live better. Men born today will spend 17 of their years in poor health, and women will be ill 22 years. Hence the adage: ‘women are sicker but men die quicker’.

Nor is this un-healthy ageing problem a European issue only. In rapidly developing nations such as China and India, life expectancy is also on the up – but so too are chronic conditions, including cancer, heart disease, diabetes and dementia. It seems we have added quantity of life without making much progress on quality.

How to Spot Visualization Lies

From http://flowingdata.com/2017/02/09/how-to-spot-visualization-lies/

How to Spot Visualization Lies

Keep your eyes open.

It used to be that we’d see a poorly made graph or a data design goof, laugh it up a bit, and then carry on. At some point though — during this past year especially — it grew more difficult to distinguish a visualization snafu from bias and deliberate misinformation.

Of course, lying with statistics has been a thing for a long time, but charts tend to spread far and wide these days. There’s a lot of them. Some don’t tell the truth. Maybe you glance at it and that’s it, but a simple message sticks and builds. Before you know it, Leonardo DiCaprio spins a top on a table and no one cares if it falls or continues to rotate.

So it’s all the more important now to quickly decide if a graph is telling the truth. This a guide to help you spot the visualization lies.