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~~This correlation seems to have nothing to do with blast exposure as the title suggests From the article~~
~~The rates for these combat occupations are roughly twice those of service members who work in noncombat jobs like data processing or food service.~~
~~The article even mentions there isn't any implied causation between blasts and non-blast exposed combat troops either in the data presented (except maybe a 4% difference in suicide rate between artillery crews and combat troops with less exposure). ~~The data they are presenting* shows the largest drop in rate is between combat and non combat troops~~ How can the author have this information and come away with this conclusion?~~
The paragraph before the one you quoted says it:
That's a 15% bump in suicide for the most blast exposed troops when compared to less blast exposed combat troops.
Obviously combat exposure vs not is going to have a large effect, but blast exposure seems to have a further effect on top the horrors of combat.
Also:
The report presented the data, but made no attempt to grapple with the implications:
Alright, now here's where i am ready to be wrong... How is an increasing suicide rate from 30 per 100k to 35 per 100k statistically significant? Am i even worse at math than i thought?
It's the same reason that an increase from a 0.0001% chance of something happening to a 0.0002% chance is a 100% increased chance of the thing happening.
More relevantly, 0.0003477% is ~ 15% bigger a number than 0.0003000%. The overall numbers are still low, but the increase is significant.
Well then i guess i am wrong, cuz i have to concede 15% is a significant difference. Thanks for explaining that. It still feels like artificial inflation of stats to my mind, but that's just like, my opinion, man
Stats can be very unintuitive. You’re not alone.
I remember reading over some logic - statistics "puzzles", where the logic is sound if you follow step by step on paper, but for some reason your mind just has trouble grasping the concept which leads to confusion.
Yep, NP!
The New York Times, that's why. It's a paper which drastically lost credibility.