Fascinating stuff. I wonder you can say or write something on stats reportedly showing that young women are far more Progressive than young men on something on the lines of a 80-20 split.
I've read several of your articles now and I've noticed that there are often a lot of problems with these surveys. Could other stats like male labor force participation rate or male college attendance be more reliable? If so, why not look at them and infer conclusions from those in combination with other evidence? Perhaps it can avoid some of the difficulties of surveys like survey sizes, dishonest, or categorization issues?
Although I don't personally believe the chad hypothesis, I'm curious if it's necessary that "committed relationship" is the only viable category option to represent it. Couldn't a 'chad' be cohabitating or married to one woman while also spending a significant amount of time living at another person's house such that the 'side-woman' might call it cohabitation? Or, in a different scenario, I wonder, if we granted a chad hypothesis such that each chad had 1 marriage/cohabitation and 1 woman in committed relationship, what would that look like? If most of the gap is age-related, a chad hypothesis would only explain a relatively small portion of the gap at best, but maybe the point is about perception or relative increase than absolute numbers. If, in the minds of people, they see a large relative rise in chads having multiple women, could it have a cascading effect leading to other changes in data even if the absolute numbers of chads are small?
Edit: I wonder how much of the discrepancies between different surveys to each other & to people's perceptions is based on the different ways people categorize the same act. My intuition leads me to think that this plays a significant role which is why I suggested things like economic data and making inferences based on that.
Fascinating stuff. I wonder you can say or write something on stats reportedly showing that young women are far more Progressive than young men on something on the lines of a 80-20 split.
I've read several of your articles now and I've noticed that there are often a lot of problems with these surveys. Could other stats like male labor force participation rate or male college attendance be more reliable? If so, why not look at them and infer conclusions from those in combination with other evidence? Perhaps it can avoid some of the difficulties of surveys like survey sizes, dishonest, or categorization issues?
Although I don't personally believe the chad hypothesis, I'm curious if it's necessary that "committed relationship" is the only viable category option to represent it. Couldn't a 'chad' be cohabitating or married to one woman while also spending a significant amount of time living at another person's house such that the 'side-woman' might call it cohabitation? Or, in a different scenario, I wonder, if we granted a chad hypothesis such that each chad had 1 marriage/cohabitation and 1 woman in committed relationship, what would that look like? If most of the gap is age-related, a chad hypothesis would only explain a relatively small portion of the gap at best, but maybe the point is about perception or relative increase than absolute numbers. If, in the minds of people, they see a large relative rise in chads having multiple women, could it have a cascading effect leading to other changes in data even if the absolute numbers of chads are small?
Edit: I wonder how much of the discrepancies between different surveys to each other & to people's perceptions is based on the different ways people categorize the same act. My intuition leads me to think that this plays a significant role which is why I suggested things like economic data and making inferences based on that.