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author here. a more rigorous analysis would include a co-variance matrix and a best fit line to quantify the relationships between the variables. on the surfac

by akarve 12y ago

author here. a more rigorous analysis would include a co-variance matrix and a best fit line to quantify the relationships between the variables. on the surface, there doesn't seem to be much of a correlation. not all exploration reaches a definitive conclusion or even a correlation. the alternative would be for me to shelve the visualization on the grounds of "no conclusion". and that would be the file drawer effect in action :) http://en.wikipedia.org/wiki/Publication_bias#File_drawer_effect http://en.wikipedia.org/wiki/Publication_bias#File_drawer_ef...

anigbrowl 12y ago
OK, but what made you pick those three variables to start with? I can see political leaning vs pay gap, because equal pay legislation/administration is a somewhat partisan issue. But the length of sexual intercourse measure doesn't seem to tell us much about anything. Why not measure annual consumption of corn dogs, or the going price of onions? I'm open to there being a good reason you chose to include it, but you didn't offer on on the page so I'm just confused; it reads as a sort of really abstract titillation, even though it could be interesting to learn what it does correlate with.
- deleted 12y ago
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- akarve 12y ago
  i saw nerve.com's data on intercourse duration and started to wonder which variables might cause or correlate with the same. of greatest interest to me at the time: how does in/equality affect our sex lives? income is one measure of equality. politics is a natural third dimension of general interest. it is a somewhat ad hoc trio of variables, sure, but there's a singular underlying question: which popular psychographic dimensions affect our sex lives? given finite time, i picked these 3 and ran with it :)
  - anigbrowl 12y ago
    Thanks for taking the time to explain. Although I was critical of that aspect I thought the design itself was clean and effective, and you should keep exploring this line of activity.
couchand 12y ago
There's no need to shelve the entire visualization simply because the metrics are not relevant (I hope). It looks like it's built with D3, so it shouldn't be too much effort to swap out the data with something that actually does have value. By the way that's seriously misrepresenting the file drawer effect. Your effort has been spent building the visualization, not doing independent research. If you spend some time on statistical analysis of something that can be reasonably expected to be correlated and find that it's not, please do publish that information. But that's simply not the case here.

by akarve 12y ago

anigbrowl 12y ago

OK, but what made you pick those three variables to start with? I can see political leaning vs pay gap, because equal pay legislation/administration is a somewhat partisan issue. But the length of sexual intercourse measure doesn't seem to tell us much about anything. Why not measure annual consumption of corn dogs, or the going price of onions? I'm open to there being a good reason you chose to include it, but you didn't offer on on the page so I'm just confused; it reads as a sort of really abstract titillation, even though it could be interesting to learn what it does correlate with.

deleted 12y ago
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akarve 12y ago
i saw nerve.com's data on intercourse duration and started to wonder which variables might cause or correlate with the same. of greatest interest to me at the time: how does in/equality affect our sex lives? income is one measure of equality. politics is a natural third dimension of general interest. it is a somewhat ad hoc trio of variables, sure, but there's a singular underlying question: which popular psychographic dimensions affect our sex lives? given finite time, i picked these 3 and ran with it :)
- anigbrowl 12y ago
  Thanks for taking the time to explain. Although I was critical of that aspect I thought the design itself was clean and effective, and you should keep exploring this line of activity.

couchand 12y ago

There's no need to shelve the entire visualization simply because the metrics are not relevant (I hope). It looks like it's built with D3, so it shouldn't be too much effort to swap out the data with something that actually does have value. By the way that's seriously misrepresenting the file drawer effect. Your effort has been spent building the visualization, not doing independent research. If you spend some time on statistical analysis of something that can be reasonably expected to be correlated and find that it's not, please do publish that information. But that's simply not the case here.