What do on-line daters want?

Like this:

Outcomes are strongly increasing in measured looks.  In fact, the looks ratings variable has the strongest impact on outcomes among all variables used in the Poisson regression analysis.  Men and women in the lowest decile receive only about half as many e-mails as members whose rating is in the fourth decile, while the users in the top decile are contacted about twice as often.  Overall, the relationship between outcomes and looks is similar for men and women.  However, there is a surprising “superstar effect” for men.  Men in the top five percent of ratings receive almost twice as many first contacts as the next five percent; for women, on the other hand, the analogous difference in outcomes is much smaller.

Or this:

Height matters for both men and women, but mostly in opposite directions. Women like tall men (Figure 5.4).  Men in the 6’3 – 6’4 range, for example, receive 65% more first-contact e-mails than men in the 5’7 – 5’8 range.  In contrast, the ideal height for women is in the 5’3 – 5’8 range, while taller women experience increasingly worse outcomes.  For example, the average 6’3 tall woman receives 42% fewer e-mails than a woman who is 5’5.  We examine the impact of a user’s weight on his or her outcomes by means of the body mass index (BMI), which is a height-adjusted measure of weight.  Figure 5.5 shows that for both men and women there is an “ideal” BMI at which success peaks, but the level of the ideal BMI differs strongly across genders.  The optimal BMI for men is about 27.  According to the American Heart Association, a man with such a BMI is slightly overweight.  For women, on the other hand, the optimal BMI is about 17, which is considered under-weight and corresponds to the figure of a supermodel.  A woman with such a BMI receives 90% more first-contact e-mails than a woman with a BMI of 25.  Finally, regarding hair color (using brown hair as the baseline), we find that men with red hair suffer a moderate outcome penalty.  Blonde women have a slight improvement in their outcomes, while women with gray or “salt and pepper” hair suffer a sizable penalty.  Men with long curly hair receive 18% fewer first-contact e-mails than men in the baseline category, “medium straight hair.”  For women, “long straight hair” leads to a slight improvement in outcomes, while short hair styles are associated with a moderate decrease in outcomes.

pp.21-22 tell us about income and education.  And this:

38% of all women, but only 18% of men say that they prefer to meet someone of their own ethnic background.

African-American and Hispanic men get only half as many first-contact emails from white women as do white men; Asian men get only about one-quarter as many.

Comments

Could it be summarised in three letters?

I'm going to go with "better than they deserve", but I'm cynical that way.

I guess I will now disclose my income and wait for the avalanche of emails.

There's also a good chart on p 48 showing how much money guys need at each height level to be as successful as a 5 foot 11ish guy:

5’0 = 317,000
5’2 = 269,000
5’4 = 221,000
5’6 = 175,000
5’8 = 138,000
5’10= 24,000
6’0 = -8,000
6’2 = -30,000
6’4 = -51,000
6’6 = -63,000
6’10= -63,000

What dating sites allow you to list your income as $300,000+? In my experience the highest income category has always been $150,000+. But in order for this study to have data that could demonstrate a quarter milllion dollar differential, there must be data that can differentiate between men making $200,000 and those making $300,000.

What dating sites allow you to list your income as $300,000+? In my experience the highest income category has always been $150,000+. But in order for this study to have data that could demonstrate a quarter milllion dollar differential, there must be data that can differentiate between men making $200,000 and those making $300,000.

They must be extrapolating out, as there is no way that they had a lot of samples at $500,000 or even $300,000. And such extrapolation is highly fraught when dealing with multidimensional surfaces. An increment from a 7 to an 8 in attractiveness for a man will probably give *less* of a boost in success if he's making $300,000 than if he's making $30,000. Hence any model that formulates S = b1 * f(I) + b2 * g(A), where S = success, I = income, A = attractiveness is going to run into serious problems when extrapolating beyond the available data.

Asian men gripe and gripe...
Most are jealouse of White and Black men...there are even ones jealous
of Latin men...Why? Because Black,White and Latin Men are open minded.
They will even go as far as marry and having a child and starting a family
With a woman regardless of her skin color and cultural background...
On the other hand...Asian men are too concerned with skin color and all
sorts of petty things.

Asian men should stop being so insecure and open up their minds more...
If they did this...perhaps, more White women would be interested....
Perhaps, more "ANYONE" would be more interested.

But the majority whine and bitch because they are jealous of
White/Black/and Latin men. Poor Asian men...

GROW UP!

GET A LIFE

Any body want gold dust? Contact me marbyoka@yahoo.com

Thanks,
Miss Marby

Does anybody really cares about all that statistics?
It seems for me that the only thing everybody needs is to find the partner that matches the criteria...
What is more: 'people say' is not equal to 'people do'. So if we disregard all that stuff our dating will be much more simple and effective...

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