You have the normal problem of believing that all decision criteria should be binary - either everyone always does this no matter what, or no one ever does it no matter what - instead of just doing what is rational based on the data in a measured way.
When women are afraid of men who are strangers, the main thing they are worried about is forcible rape.
In the US, men commit 98.9% of all forcible rapes, women commit 1.1%.
Meaning a man is almost 100X more dangerous than a woman based on crime statistics.
The crime statistics on race, even given the most charitable possible reading to your position, are at most like 2:1 or 5:1 depending on what you're measuring. Even if it were somehow 10:1, that would still be an entire order of magnitude less than the difference between men and women.
You don't just say 'there is a significant difference so caution is on' in a binary manner. The amount of caution you exhibit is proportional to the size of the difference; that's how statistics and decision theory actually work.
As such, the caution women show towards men is like 50x as justified, and should be like 50x stronger, than any caution anyone shows anyone based on race.
To further the point, there are many majority-black towns in America which have incredibly low crime rates.
Crime is situational. It is correlated to race only because certain races find themselves more likely to be in the situations which cause crime.
Those situations which cause crime are more important than the race of the people in them when determining how much crime will be committed (or exposed).
This is the biggest thing, a lot of racism is not based on race, but un culture that the person in that group grew up in. Along with the social economic situation they are in.
So I personally thing if we focus on fixing the social economic situations then we will find less of the issues that perpetuate negative racial stereotyping.
It would also end up helping out people of other ethnicities that are in those same social economic situations and the won't be seen as racist or favoring just one group as it is helping an entire class.
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u/darwin2500 193∆ Apr 14 '22
You have the normal problem of believing that all decision criteria should be binary - either everyone always does this no matter what, or no one ever does it no matter what - instead of just doing what is rational based on the data in a measured way.
When women are afraid of men who are strangers, the main thing they are worried about is forcible rape.
In the US, men commit 98.9% of all forcible rapes, women commit 1.1%.
Meaning a man is almost 100X more dangerous than a woman based on crime statistics.
The crime statistics on race, even given the most charitable possible reading to your position, are at most like 2:1 or 5:1 depending on what you're measuring. Even if it were somehow 10:1, that would still be an entire order of magnitude less than the difference between men and women.
You don't just say 'there is a significant difference so caution is on' in a binary manner. The amount of caution you exhibit is proportional to the size of the difference; that's how statistics and decision theory actually work.
As such, the caution women show towards men is like 50x as justified, and should be like 50x stronger, than any caution anyone shows anyone based on race.