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31 Comments
I made the chart with MS Excel. Data gathered for the women via Perplexity with the query “What age were the 1st place winners of the FHM’s 100 Sexiest Women contest in the year that they won?”
Data gathered for the men from the chart in this Reddit post: [https://www.reddit.com/r/dataisbeautiful/comments/qqoqaw/oc_peoples_sexiest_man_alive_age_when_winning/](https://www.reddit.com/r/dataisbeautiful/comments/qqoqaw/oc_peoples_sexiest_man_alive_age_when_winning/)
So the sexiest man is about 40 years old or a little older. While the sexiest woman is about 25 years old or a little younger.
FHM is a magazine for young men. People is a magazine for middle-aged women. The discrepancy is not at all surprising.
I would use blue for the guy next time. But otherwise neat.
And the trends are diverging.
That’s what I like about the sexiest woman alive, I keep getting older and she just stays the same age. #alrightalrightalright
I just need Marisa Tomei to be the next Sexiest Woman 🥰😁😅😅
Isn’t this data getting a little long in the tooth?
I bet nearly-60 y.o. sexiest man in ~~1987~~ 1989 was Sean Connery.
Linear plot misleading here. A moving average would be better.
Isn’t that common knowledge?
Wow, the variance would be interesting. Women seem to vary a lot less than men.
It would be really interesting to extend this graph to the last 100 years. I remember a lot of movies in the 50s with men old enough to be grandpas hooking up with seriously young leading ladies. Looking at you, Hitchcock. And songs flaunting the idea of romancing teenage girls. Bleh.
Max wealth and peak health cross… make sense
Data would be more comparable if both surveys were done by the same organization using the same data gathering.
This comment thread is something else. Men usually prefer slightly younger women, and women usually prefer slightly older men. Younger women are more capable of bearing healthy and numerous children, older men are more established and better equipped to provide for said children. This isn’t rocket science… it’s been this way forever, and will continue to be this way forever. Culture may change, but you can only fight instinct so much.
Wonder who the 39 year old female outlier was
As a woman over 50 this isn’t surprising. Women my age are invisible
Does The Onion’s choice of Kim Jong Un count here?
OP, I’m curious to know what you are intending to show in this figure? Is the intent to show a trend over time or to simply compare the age spread between these two groups? If it’s the former, it’d be helpful to have an r-squared statistic for each line to show how good the linear regression actually explains the slope of the line. If it’s the latter, it would be better to plot a probability distribution with age on the x-axis and potentially use something like a two sample t-test to compare the impact of your independent variable (man/woman) with your dependant variable (age). Plotting two normal distributions would allow you to better visualize not only the difference of the average ages, but also the variance of the ages around the mean value.
The variance in spread is interesting.
How many times has the same person been chosen? These datapoints aren’t independent.
Sigh, I am so dumb 😓
I was wondering who the weird grey dot at the top was supposed to be. Apparently it was some dirt on my screen
I cant even remotely believe this. The line for men must obviously be of form y=x starting in 1979 when George Clooney turned 18.
Half your age plus 7. Pretty accurate.
This has been today’s episode of “things that definitely don’t make sense to fit a linear regression on”
Guy in the top right hash to be Sean Connery
What would the graph look like going much further back? Is this representing what culture?
I wonder what the R^2 value is for each line. There is too much variation around both for the mean to be informative.
So men have made up their minds and women still can’t figure out what they want?
A Google Sheets graph with almost no information and some basically arbitrary trend lines. “Beautiful” data indeed