Source: HMD (exact, sex-split) — [mortality.org](http://mortality.org) — 2025-09-26, made with seaborn
The opioid crisis and expensive healthcare have its price.
No complaining, back to the coal mines.
Why the color gradient by country? And also the top quartile is being covered for US women.
No information about the box plot? Quantiles?
This will only drop in the US as Medicare gets cut, med prices skyrocket, depression with zero hope of future for young kids will skyrocket. They want us all dead by 50 it seems
I guess COVID affected US disproportionately dropping average a couple years
I’m curious if men refusing to go to the doctor is a relatively universal thing across cultures or if it’s only present in some. I can only speak for the US where it definitely is a thing, but we also don’t have universal healthcare and guaranteed paid sick leave.
Why do the colors keep getting lighter?
It’s almost like universal healthcare helps people stay healthy 🤔
Compare that to 100 years ago and it will become obvious how much life has improved
I read “Death by sex” and now I can’t think of this graph any other way.
This is poorly done. It is non informative and I wasted time trying to read it. Instead of quickly conveying information it confuses you without outcome.
What do the different markers mean? The line? The bar? Is it the median or average? What purpose do gradients have?
Good idea but look at it from someone who sees it the first time.
That label placement though…
the US is the No.1 spender in health care, a very poor investment return at best
Grandmothers are useful for child survival, grandfathers are pretty useless. Better immune system all the child birthing early carries on too. It’s surprising men can still live that long well past the years of being able to attract mates in competition with younger men.
If you zoom in closely, you can see that the Legend is actually semi-transparent, so you can actually still make out the top end, albeit not very well if you wanna see it in the context of the whole data set.
![[OC] Distribution of Age of Death by Sex and Country](https://www.europesays.com/wp-content/uploads/2025/09/p0cp59f7tprf1-1920x1024.png)
17 comments
Source: HMD (exact, sex-split) — [mortality.org](http://mortality.org) — 2025-09-26, made with seaborn
The opioid crisis and expensive healthcare have its price.
No complaining, back to the coal mines.
Why the color gradient by country? And also the top quartile is being covered for US women.
No information about the box plot? Quantiles?
This will only drop in the US as Medicare gets cut, med prices skyrocket, depression with zero hope of future for young kids will skyrocket. They want us all dead by 50 it seems
I guess COVID affected US disproportionately dropping average a couple years
I’m curious if men refusing to go to the doctor is a relatively universal thing across cultures or if it’s only present in some. I can only speak for the US where it definitely is a thing, but we also don’t have universal healthcare and guaranteed paid sick leave.
Why do the colors keep getting lighter?
It’s almost like universal healthcare helps people stay healthy 🤔
Compare that to 100 years ago and it will become obvious how much life has improved
I read “Death by sex” and now I can’t think of this graph any other way.
This is poorly done. It is non informative and I wasted time trying to read it. Instead of quickly conveying information it confuses you without outcome.
What do the different markers mean? The line? The bar? Is it the median or average? What purpose do gradients have?
Good idea but look at it from someone who sees it the first time.
That label placement though…
the US is the No.1 spender in health care, a very poor investment return at best
Grandmothers are useful for child survival, grandfathers are pretty useless. Better immune system all the child birthing early carries on too. It’s surprising men can still live that long well past the years of being able to attract mates in competition with younger men.
If you zoom in closely, you can see that the Legend is actually semi-transparent, so you can actually still make out the top end, albeit not very well if you wanna see it in the context of the whole data set.
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