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irkli t1_j4054v6 wrote

I am 67. I HAVE ESCAPED DEATH! YAY!

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Malalang t1_j404yi4 wrote

So, when do the rest of the women die?

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penguindev OP t1_j4057ws wrote

It reverses after age 75. I was definitely puzzling that out for a while, thinking I had a bug.

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Wlng-Man t1_j40ngz9 wrote

"Death by Sex" is what we all strife for!

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space-ish t1_j41974w wrote

Yeah, lol. :)

I'm surprised i had to scroll down the page for this comment.

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LanewayRat t1_j40sdwy wrote

This is terrible. The worst things are.

  1. The scales are all different. Why not make it per capita?
  2. Half the country names are indecipherable. Why not use normal English descriptions? Wtf is “fratnp” or “isr”?
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xxthundergodxx77 t1_j410cen wrote

I kinda agree on the second part but not everyone is American and fratnp seems to be normal. The scales are different because the point of the graph is just to show total deaths quarterly, not really compare them all visually or make a point

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LanewayRat t1_j411nqq wrote

No point? All these graphs presented together for no reason? Not to allow comparisons? Just a random assemblage of unrelated data?

What has “American” got to do with understanding “fratnp” or “grebntw”? What country are you from and what language or codified standard is this? Does the whole world understand it and not this poor ignorant Australian?

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xxthundergodxx77 t1_j412a5v wrote

I personally found it interesting regardless. Especially seeing the spikes for that one specific quarter.

I don't know where it's used specifically but it seems to be a lot of statistic pages use fratnp for France and grebntw for England and Wales

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LanewayRat t1_j414pt7 wrote

It’s not beautiful data if you use codes in place of normal communication. There isn’t even a key.

What’s interesting is the comparisons, for the countries I can recognise anyway.

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penguindev OP t1_j403qde wrote

source data: https://mortality.org/Data/STMF

  • Excluded RUS and TWN because they were not up to latest year
  • Men are blue, women are pink. Astonishing how much more men die younger :| (It reverses in the higher ages)
  • Note: source data is a little sketch because each country has their own age brackets, which don't necessarily line up to 0-64, but I felt that involved the least data munging. (If you read the metadata docs on their site it says this.) I am just taking the data that they claim is 0-64, FYI.
  • I give up trying to paste my code as a code block here. Screw reddit.
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cavedave t1_j40y10b wrote

Could you say what programming language you used? I need it in the comment above to approve the post

I approved it anyway. It's a good post. But please comment the tool used above.

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eric5014 t1_j405w9q wrote

Is the lower spot in the last quarter due to incomplete data?

You can see some countries get hit harder by Covid.

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penguindev OP t1_j407gu8 wrote

Yeah, there are a lot of delays, provisional data, etc.... it's not real time by any stretch of the imagination, according to each country's systems. I just left the data as is.

As you said, I think it's enough to see some interesting trends. But it's not as good as looking at a smaller age band in a smaller area with more consistent data collection rules.

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alexilas t1_j4079nu wrote

And of course USA had to bear everyone at that too

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xxthundergodxx77 t1_j41071t wrote

USA #1 💪💪💪. I actually think Poland has the highest when scaled for population right?

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alexilas t1_j4113yd wrote

Actually Poland have a scale of 20k while USA have a scale of 150k

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xxthundergodxx77 t1_j411f3c wrote

Yea but they have a population of 37mil or about 1/10th the US

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alexilas t1_j419frf wrote

Yes but... But... Yes

You're so right that I'm angry now!!

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ZetaZeta t1_j43vjnj wrote

Doesn't sound like a bad way to go. You know...

Death by sex.

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Myrcello_Stone t1_j405ot9 wrote

We are genderfluid. If you want to be woke you just show one number and mix pink with blue.

You get then a light brown representing the world we live in today.

Hehe

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