Alright, this is a 30-second long example for a) bimodal distributions and b) why measures of variability matter when we are trying to understand a mean.
And that mean is...AGE OF DEATH.
My inspiration for this tweet is:
Gullett refers here to the commonly held belief that if the mean life span Back In The Day was 45, or thereabout, everyone was dying around 45. NOT SO.I’m just a girl, standing in front of the internet, asking it to understand that historical life expectancies doesn’t mean most people died at 45 but rather that infant mortality was super high and pulled down the average.
— Angelle Haney Gullett (@CityofAngelle) January 12, 2022
The short answer is no. Broadly speaking, there were two choke point of human mortality. Younger than 5, and again around 50. If you made it through those, barring accidents, you likely had what was a normal lifespan of ~65-70 years.
— Angelle Haney Gullett (@CityofAngelle) January 12, 2022
And this is why I’m no fun at parties đŸ˜‚
Here is the data on that.
— Max Roser (@MaxCRoser) January 14, 2022
Yes, it was was extremely common that children died, as you say.
But that was not the only reason for low life expectancy. Mortality at higher ages was also very high. Much higher than today.
And so it was the case that exactly half were dead by 45. pic.twitter.com/ZK0REZQR57
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