[Basil Ransom]

(03-20-2012 08:14 PM)cibo Wrote:  

(03-20-2012 11:23 AM)Sparks123 Wrote:  

If I were better at statistics, I’d come up with some sort of formula, but this is what I’d put into it in order of importance:
1)Population: This is the most important, it’s a numbers game over everything else.
2)Walking score: Essential for daygaming (and even night game because you don’t want to drive from bar to bar). Also, people who live in high walking score cities are more likely to be in decent shape.
3)Lowest difference between January and July average temperature: You want a city with a nice, year-long climate that keeps you and the girls active. (San Francisco or if you like it a little hotter, LA or Miami)
4)Percentage of 18 to 24 year olds
5)Highest percentage of females 18-34 who have never been married.

I don’t think the level of unmarried men to unmarried women is that important, most men are choads and they are not your competition. The raw number of single women 18-34 is much more important.

US News put out a list of Top US Nightlife Cities which seems pretty solid: 1) NYC, 2) Las Vegas, 3) LA, 4) Chicago, 5) Miami Beach, 6) San Francisco, 7) Philadelphia, 8) New Orleans, 9) Portland, OR, 10) Austin
I disagree with putting Philly at #7 but that might be me being biased from having lived here too long.

There are different methods to approach this. The fact most of these facets have to be subjectively valuated against an unknown city score, you need a overall score to determine what variables explain the score, means I wouldn't use a pure statistical model for this.

I would use a decision model with a 1-10 criteria defined. Based on your rankings, on average, your weights are this:

Population46%
Walking Score26%
Temp variance16%
% of 18-249%
% of females 18-34 Never married4%

Define what scores 1-10 are and there you go.

I'm decent at statistics, and this isn't really the place for them. It's such a qualitative comparison, evaluating things that aren't always easily quantified, or the stats simple haven't been collected. It's like comparing paintings by analyzing the number and color of brush strokes in each work.

And, you just don't know the effect of things until you feel them in person. Like a high number of unmarried women. That might correspond with a high number of unmarried men. According to the blog Ratio Factor, these men are a primary factor behind cockfests. In short, men over 30 continue going out, when the women don't.