sundin13 said:
theprof00 said: Well, look at that 21.6% that's 1-5 isnt it? Maybe I'm wrong. Maybe you can tell me what 21% is. |
Just wanted to say, I think there are a few issues with the math used to reach this stat. First of all, you need to account for the amount of people who lived during this time period, not the amount who were alive at the end of it. If you are using an 81 as a "span", you have to account for all the women who have died over those 81 years. The average amount of deaths between 1930 and 2016 is about 2million per year, with about half of that being women that would be 1million per year, so add 81million to your sample size. This decreases the lifetime rape rate to about 15.8%.
You also should account for differences in life expectancy over this time period. People who were born back in 1935 didn't live as long as people who were born in 2015. Taking about the median value, you are left with a life expectancy of 75 years instead of 81 years. Doing some recalculations you are left with a lifetime rape rate of about 14.9%.
Then the variable that is most confounding and difficult to calculate comes into the picture. Not all of those rapes you listed were first time victims. In fact, in victimized populations, rates of revictimization are significantly higher than that of the general population. Numbers I did find for this suggested a wide range of revictimization rates up to 64%, but taking one of the more common numbers I've seen of 20%, you can eliminate 20% of your "victim pool" as redundant. Recalculating with this number leaves you with a lifetime rape rate of about 11.9%.
So by factoring in a few more variables in the BJS data, the lifetime rape/sexual assault rate falls to about 1 in 8.33, or 11.9%
PS: I mostly did this because you already did most of the legwork and I was curious how the numbers would work out. If you can think of any other variables or you see any errors in my math, please call them out
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1. I'm not sure why I would add 81m. I'm counting a number of incidences, comparing it to 160m
(woops, noticed a mistake, I used 160m instead of 147m as was the population for this time period. The actual percentage was 4.7%)
, and taking that percentage and multiplying it without taking into consideration that only in 95 the population was 30m less, and in 1960, there were only 90m women. If I really wanted to do all the math out, I would take my number of incidents and find the new average every 15 years based on population. So, the incidence up to 2005 would be 4.4(4.7)%, and then the incidence at '90 would be 5.6%, and then at 1975 would be 6.4% and so on.
EXCEPT
I was very specific to use very conservative numbers in my estimation, just to really nail the point in.
I used a 160m population for every cycle. I used even less than the percentage I got for that cycle (4.4% (actually 4.7%)) I used 4%. I did so for no reason other than just to be a complete asshole and make my point using the numbers most generous to my debatee.
Additionally, the prime ages wherein rape takes place is from 6-25 years old. And the highest risk bracket is 14 years old, and this is the lowest that rape has ever been, so I'm working from a huge disadvantage already because the bulk of the numbers are currently already very low. IE; previously every woman alive has been in this age bracket at a higher risk rate than the age bracket today, at its lowest risk rate)
Not only did I make the concession from 4.4% to 4%, but I also left out that rape was on a decline since 1995. Unless we are to assume that rape was never an issue previous to 1995, it would be safe to make the point that it was near the height of what it was in 1995. However, I chose instead to use the average over this current 15 year period. During this period, the DOJ has called the numbers some of the lowest in history. So I'm already using a very generous baseline figure. I even did the math if we went from 2000-2016 (the lowest of all time) and the result was still over 20%. I think I even made it a point to use 350k as my average, even though it was actually 400k, because wartaal was making a stink. Again, because I'm an asshole and like to rub it in people's faces when they talk to me like that.
The actual DOJ census itself also already uses a revictimization rate in coming to their numbers, and also calls the same household over a three year period 6 times. I don't remember if I linked the methodology page but if you search google for ncvs or whatever it's called and "methodology" it tells you exactly what it screens for, and how it helps keep out redundancies.
Other corrections to make:
The DOJ doesn't include other types of rape such as insertions with objects (a form of molestation), the homeless, making other people have sex, nor what's becoming a really hot topic in America, the sex slave trade.
We also aren't sure exactly what the unreported number is, and the DOJ warns against using the unreported number as being accurate. They believe it could be higher. I believe there is also a methodology paper they released that explains why other studies have higher unreported rates, and attributed it to they type of data that was being requested. In short, the DOJ believes that (like I said) it is out to find one number and other studies are meant to find others, for instance like things the DOJ doesn't report: homeless, molestation, insertions, drugged or passed out, coerced, etc etc.
Sexual assault and rape was much higher back in the 50's, 60's, 70's. Talk to people from back then and see what they say. You'd be shocked. My mom is a very open person. She's been almost raped several times. She has no eyebrows because she jumped from a moving vehicle when someone tried to. Or just look at movies where the lead male slaps a woman's ass and is like 'get me a coffee sugar', and is seen like a playboy.
But that's not really a quantifiable argument so I'll leave it at that.
If you really want to find the end-all-be-all number (because I'm tired of this same argument over and over and over and over and over in this thread). Here are the steps to do it.
Take the number of incidences at 2005 covering a 15 year period (7m)
Figure out some kind of metric for changing the incidences aboves (7m) to reflect higher incidences previous to 1990. Maybe use a rolling 5 year average.
Figure out some kind of slope to correct for that number (because it isn't linear to population) Up to you how much to take off. Just don't dip into the 400k territory, when we already know it's higher than that.
Figure out some way to incorporate deaths into that number, both of rape victims and non-rape victims, and the population size.
Find the variation in lifespan during said periods.
Rediscover the correct percentage for every 15 years based on the population size. I'll provide the numbers below:
1990: 112m
1975: 108m
1960: 90m
1945: 70m
My advice?
Probably should just realize that it's either over 20% or very close to it.
For all you visual learners out there, the math I used looks like this
Key:
R= incidence per average over 1990-2005= 7m
P= population at 2016 =160m
A= average lifespan at 2016= 81y
C= cycle of 15 years using the incidenceR as metric
T= time periods
(A/C)=5.4T where T= R/P
5.4T= R/P + R/P + R/P + R/P + R/P + .4*R/P
The correct formula would look something like:
R= Slope of incidence per cycle = MP
M= median rolling incidence average found for every 15 years. = (picture below)
P= Cycle of time
W= weighted population for time periods =PsubD
D=population at Date
LASTLY
I just want to again point out that despite all the words I wrote above about what the DOJ does and does not track, what numbers could be, etc etc, I used a very conservative formula that actually mistakenly gave nearly 1% away every period over 5 periods, and did not include previous higher incidence rates, or lower population.
If there is still some argument, I have literally no idea what that could possibly be.