Quote:
Originally Posted by wil318466
Almost all liberal arguments are data-driven arguments... where many arguments from conservatives seem to be more logic or experience based.
Data is created by the application of logic (i.e methodology, but perhaps more precise than "logic" would be "critical/rational thinking") to the aggregation of experience.
The reason it's important to think about methodology in the creation of data is precisely because data doesn't interpret itself. Data doesn't mean the same thing as "fact", basically. I make this same point when I talk about the interpretation of crime statistics aggregated by race. But, to say that liberals rely on data while conservatives rely on logic and experience seems to me to misunderstand all of the relevant terms.
Quote:
Originally Posted by wil318466
I'll give a good example of that I've brought up before - the gender wage gap. President Obama stood up there on national TV and mentioned the wage gap, multiple times, as 77 cents on the dollar compared to males. I remember it startling me and I grew very concerned as I, as almost all men, have females in my life that I love and care for very much, so I started doing research.
My research made me realize how full of crap liberals/democrats really are. Obama lied. The gender wage gap isn't anywhere in the remote vicinity of what he said, not even in the same universe, really. Everyone knows this, and we can prove it, yet liberals will keep spouting this number.
Your assertions here are false as stated, but there is a reason I introduced the idea of data as a construction dependent on methodology and in need of interpretation and contextualization.
The figure comes from
Bureau of Labor Statistics data. The methodology here is a comparison by gender (or other categories, like
occupation) of
median weekly earnings of full-time wage and salary workers.
You assert that somehow your research indicated that the statistic Obama cited is a lie, but that's wrong. If you compare the median weekly earnings of women working full time and men working full time you see about a 20% difference. It's declined slightly in the last couple years.
If, on the other hand, you said that it would be wrong to conclude from this single statistic that the difference in median salaries was driven entirely by gender-based employment discrimination (as opposed to some combination of factors) you would have more of an argument, but you also haven't shown that Obama made this claim.
I assume that when you refer to having researched the topic what you mean is you've found other evidence that the size of the difference in median wages which might be attributed to outright discrimination is smaller, which is generally what most studies have found. Although even here methodology is important. There is no easy method for identifying when a difference in wages is caused by discrimination. So instead studies try to identify other causes, and whatever remains that they can't explain they say may be caused by discrimination. But it's also important to realize that feminist consciousness-raising about the wage gap is not merely based on a claim of intentional discrimination. Cultural factors like the feminization (and attendant lower pay) of certain occupations, the role of gender stereotypes in our conceptions of the "ideal" doctor or business executive, tendencies to steer boys and girls towards different intellectual interests, and other factors are also of interest and part of the wage gap. They are parts that probably can't be addressed easily by direct government policy intervention, but when we talk about the wage gap we aren't talking only about discrimination in the narrow sense.
In any case, you can have a conversation about how statistical data should be interpreted or the limitations of certain methods, but your post as written is entirely wrong.