Wednesday Brain Teaser 1-23-13

When I was younger I used to spend a pretty strange amount of time reading through brain teaser books. As such, I occasionally hear a brain teaser and know the answer without being able to remember how in the world you get there. That’s what happened with today’s teaser…. I heard it on the Skeptics Guide to the Universe podcast this morning, answered immediately, then spent the rest of the train ride working out why I was right.  I got there somewhere near Hyde Park.

Lets see how you do:  A jeweler has 9 pearls, all identical shape and feel.  He knows one weighs slightly more than the other 8, but all he has to measure with is a balance scale (one with two arms that compares weights to each other). What is the minimum number of times he needs to use the scale in order to figure out for certain which is the heavy pearl?

40 years of Roe v Wade

Roe vs Wade turns 40 today, and whatever you think of it, I hope you can appreciate that this is an effective graphic (from the Pew Research Center, via WaPo)

As a data stickler who’s the daughter of a legal technicality stickler, I have to point out that the overturning of Roe v Wade would not actually make abortion illegal, but actually return it to a state issue.  I’m curious what percent of the respondents in this poll knew that, and if it would have changed the stats any.
Also, I love the PRC….including the question wording and categories at the bottom of the infographic?  Awesome.
One more thing….any of my more legally minded readers want to fill me in on the thinking behind the 4%?  That’s the only view I’ve never heard IRL.

Who are you? (Who who, who who?)

As someone who spends an inordinate amount of time thinking about data and using the internet, I tend to get pretty interested in how internet companies are using data to think about me.  

In this era of data tracking, I think it’s interesting to try to visualize what the algorithms are saying about you. As such, I like to keep things a bit varied, just to keep them on their toes a bit.  This is why my morning reading tends to be spread out over a wide spectrum:  Slate, Instapundit, Reason magazine, Gawker, Jezebel, WaPo, and the occasional TMZ.  
I had gotten in to this after reading a Wired magazine article that talked about how Google actually predicts your demographics based on what you search for most often and what websites you routinely visit.  At the time, they had me pegged…..so I decided I had to branch out a bit.  
I was thinking of this recently when I had a conversation with someone about this blog.  They asked who it was geared towards and I replied that I tried to make it for everyone, but it’s seemed to particularly appeal to conservative-leaning middle aged males.  Of course I quickly realize that could just be who comments….and I got to kind of wishing that Google would mash-up their predictions and give me their best guess at the actual demographics.  Which of course reminded me that I should check my own again.
Guess what?
As of today, January 21st, Google is pretty sure I’m a 55-64 year old male.  
To be fair, they’re only 2 to 3 decades and one X chromosome off (if you’re curious what you are and you have a Google account click here).
So now I’m curious….is this because I added more conservative sites in to the mix?  Is this because my commenters who send me links tend to be in this demo and thus I’m getting categorized by proxy?  GOOGLE WHAT WENT WRONG????  WHY AM I TURNING IN TO MY FATHER???  IS IT BECAUSE I TITLE BLOG POSTS AFTER SONGS THAT CAME OUT IN 1978???
Oh, and by the by, Google would not even hazard a guess at what any of my interests are, though they have a spot for it.  
So, who does Google think you are?

Friday Fun Links 1-17-13

I was curious what Nate Silver was going to do until the next campaign season started….analyzing growth in government spending seems like a great project to me.

Also from the NYT, an interactive pick your own New York based basketball team game.  I’m thinking Kareem’s the first pick I’d make.

I’ve already started scouring Craigslist and yardsales for Legos, so I was interested to see this article on why they’re so popular (yeah, I’d say they’re for the little lord but I am STOKED to get to play with them again).

This blog picks a random spot every day and takes a picture of it.  Surprisingly fascinating.

And just because it’s Friday, the 40 best dog GIFs of all time.

Where have all the cowboys gone?

I ran in to this post on Ann Althouse’s blog yesterday, and was intrigued by her comment that ladies looking for a man should move away from the east coast. She linked to a map from the NYT that showed where the unmarried men in the 18-34 demographic tended to live, and indeed at the top of the list were states like Wyoming, Alaska and North Dakota.

After taking a look at the map and accompanying graph though, I was a little baffled by her follow up:

But you guys, in New York and Massachusetts (and #1, my home state, Delaware), you have rich pickings in the female-heavy disproportion, where you can continue to behave in ways that women will angst over in the pages of the New York Times, which the guys in North Dakota and Alaska and Wyoming probably don’t read, but if they did, would they shed a tear for you?

Being a Massachusetts resident who hasn’t been on the dating market in a few years, I was curious how bad our “female-heavy disproportion” was…..so I scrolled down.  I was a little surprised to find out that every single state in the nation has more young unmarried men than women.  I normally like Althouse quite a bit, and I was a little surprised to see this oversight there*.  I immediately checked the comments and found that it took over 30 comments before someone even mentioned the numbers, and it was around comment 60 that someone finally spelled out that men were actually the majority everywhere (at least on the state level).  In case you’re curious, feminists were directly blamed for making women the majority in comment 6.

Since that part had already been corrected in the comments by the time I got there, I added this:

From the 2010 census, the population of Massachusetts is 8 times the population of North Dakota…and it’s 25-34 year old population is 10 times as large. If you assume half of people in that demographic are single (just to pick a random number), then Massachusetts would actually have 193,000 more single men than North Dakota even though Massachusetts has a lower percentage.  So basically, your odds might be slightly worse, but your selection is much bigger. Which you prefer probably depends on what you’re looking for.

I always find it a little fascinating when people default to presuming the “odds” model of dating works better than the “numbers” method…..because in real life most people use the numbers method.  Young people tend to move to cities, then back out once they’re married.  When you’re only looking for one, numbers matter more than odds.

Oh, and in case you’re curious about the cities she was presumably referencing, here’s the city data.  Men still outnumber women in Boston, and in most cities actually.  Even NYC is more even than many would have you believe.

*To be fair, I think she was more annoyed at the next NYT article she linked to in that post that portrayed North Dakota men as bad people.  I don’t think the state populations were her overall point.

The "high" price of being single

It will probably come as no surprise to anyone that I get really nervous when people attach a definitive number to something a little abstract.  I get even more nervous when they start explaining their methodology and have to list over a dozen presumptions they made to get there.  Each one of these is a potential source of error, and if I realize they haven’t thought that through and barreled ahead anyway, I start to really cringe.

Want an example?  Here’s a good one.
In an article on the Atlantic website called “The High Price of Being Single” Lisa Arnold and Christina Campbell attempt to quantify the cost of being single.  They made up 4 fictional women and compared their costs for income taxes, social security, IRAs, health spending and housing and came to this conclusion:

When we calculated how much money our characters gained or lost altogether, our single women did indeed fare worse—much worse—than the married women. Their lifetime cost of being single?

 Our lower-earning woman paid $484,368 for being single. Our higher-earning woman paid $1,022,096: more than a million dollars just for being single.

We anticipate that critics will point out that the numbers could be manipulated in any number of ways. At every stage in the process we, too, thought “these sums are just too crazy; surely we must have miscalculated or reasoned wrong.” We have, however, made only the most conservative of estimates and still reached the conclusion that, no matter which way you read the numbers, the final assessment remains the same: Singles get screwed.

To be clear, the focus of this article was policy based issues that cost singles money. I am not here to comment on particular policy, or to rate singleness as good bad or neutral. I am merely curious about their figures, and their claim that these “are the most conservative of estimates”.  But are they really?  I mean, according to them a woman earning $40,000 works for 12 years just to pay for being single (out of the 40 years of working life they estimated for their model).  That seems excessive, so I wanted to break it down further.

Income Taxes: To be clear, I’m not a tax professional, so I have no idea if the assessment that a married woman pays dramatically less in taxes is accurate.  However, presuming that it is*, I thought it was rather deceitful to calculate out only income taxes when this does not accurately represent tax burden for most people.  Looking at my own tax burden, my property taxes have risen dramatically since I got married.  I would imagine this is the case for most people….married people represent 64% of home buyers, and anecdote would suggest they likely buy bigger homes than single people.  Thus, property tax burden would be larger.  Depending on your state, this burden isn’t negligible, and would likely cancel out at least part of the income tax difference.  Taxes for Social Security and Medicare tend to also be quite burdensome for people, and those are applied equally and without deductions.

Social Security: I’ll just take their word for it on this one, social security rules baffle me….and I’m pretty sure the whole system’s going to be gone by the time I get there anyway.

IRAs: This one was a little strange to me.  Again, these rules get tricky, but I was curious how many people actually are using their IRAs enough to feel either the advantage or disadvantage of this every year.  It turns out, not many.  Only 15% of Americans make yearly contributions to their IRAs.  Some of the other moves complained about (a spouse being able to contribute while the other is disabled) also seemed like something most people wouldn’t use.

Health Spending:  This was the one that really got me.  It starts with this:

According to the BLS, couples spent 6.9 percent of their annual income on health on average; single men spent only 3.9 percent (the data doesn’t explain why this number is so low); and single women spent 7.9 percent. It’s not clear how the BLS broke down these numbers into component parts (ie., did they include insurance premiums?).

First, in defense of the BLS, they are incredibly open about their methodology for their Consumer Expenditure Survey.  It’s right here (and yes, that included insurance premiums). Upon looking at it, two things jump out at me.  The first is that the BLS uses the designation married/single woman/single man to refer to the head of household.  Second, their expenditures survey asks about total expenses for the entire household.  So it’s entirely likely that women pay more not because of the “discriminatory policies by companies and the U.S. government” that the authors blame, but because they have children.  82% of custodial parents are women, and of course the same medical costs for children will add up to a smaller percent of income in two parent home (which is likely to have a higher income than a single earner home).  Single men likely have a lower cost because they are likely not caring for kids.

I actually couldn’t find the survey they authors were talking about, but I did find this one that stated that married couples in their 20s pay a higher percentage  in health care costs than their single counterparts (both without kids), and this one that said the per capita outlay for health care is higher for married parents.

This section actually got really weird because the authors got mad that disability favors married people because they can just add their disability payment to their spouses income whereas single people have to live on it alone.  That just struck me as an odd complaint, as it’s really more about who you have in your life to take care of you than about a government policy.  If half of an unmarried couple went on disability the same thing is true.  Same goes if your parents/siblings/children can step in.  To argue that it’s discriminatory is just bizarre.

Housing: This part started to touch on the obvious issue, but quickly veered in to a strange place.  They touched on logistics, but then decided most of the gap was probably because landlords, realtors and developers discriminate against single people.  That’s fine, if you buy that’s a bigger factor than the “married people have a built in roommate to split costs” thing, but again, there’s no mention of children.

My next door neighbor is a single woman with 3 kids.  She bought her house for almost exactly what we bought ours for.  I have no idea if she’s widowed/divorced/never married, but I do know she’d have to make quite a bit of money (or have had a fantastic down payment) in order to pay the same percentage of her salary on housing as I am.  Again, “single women” are heads of household, and if they have children their cost will be much higher than married people ,with no one to split it with.

My last point would be that a higher housing cost should not necessarily be counted as lost money.  Homeowners certainly pay a lot in interest, but at some point they also acquire an asset.  Single women buy homes at twice the rate of single men, and thus we can presume that many of them are ultimately recouping their increased payments in a solid asset.


The conclusion: I have no doubt being single effects people and their spending habits in a myriad of ways, but my guess is having kids affects it even more.  To lump all single women together and extrapolate costs is ridiculous.  To make this article convincing, the women in question would have had to clearly find numbers for single women without kids vs married women without kids and then compare it to those with kids for both categories.   Most people have kids.  Families form because they are the most efficient way of raising kids physically, emotionally and economically.  Efficiency cuts costs.  You’re never going to have a scenario in which being a single mother or father costs less per person than being a couple raising children, and at no point in this article were childless singles and marrieds compared.

*Then what’s this marriage penalty we’re always hearing about?

…and one more thing about babies

I mentioned yesterday’s post to a coworker today, who went on a long rant about how her daughter grew out of all the baby sizes so fast it was ridiculous.

It occurred to me to go back and look at the sizing on baby clothes compared to growth charts, and here’s  what I found for boys:

Size                            Upper Weight Limit           Age 50th percentile boys/girls reach that weight
Newborn                               8 lbs                                             1-2 weeks/2 weeks
3  Month                             12.5 lbs                                           2 months/3 months
6 Month                              16.5 lbs                                           5 months/7 months
9 Month                              20.5 lbs                                           8 months/13 months
12 Month                            24.5 lbs                                           18 months/22 months

So a boy outgrowing all the sizes early is actually extremely likely (though the upper sizes seem a bit confused).  Interestingly, the height based portion was actually pretty accurate.

Just thought it was an interesting take on what baby clothes sizes actually meant, at least for one company.

Alright, done with the baby stuff now, at least for a bit.

This post has a gratuitous cute baby picture in it

But not right up front, that would put me in mommy blog territory.

Last week’s post about breastfeeding reminded me that I had mentioned back in August a few things about baby growth charts, and how some odd numbers had actually been part of a series of events that led to me having an urgent c-section.  I figured since I’d brought it up, I should update you all.
The little lord is growing just fine.  He’s actually quite the textbook little baby….literally.  If I read any book that says “around week 16 this will happen” he’s there +/- 3 days.  If it says he’ll want to eat every 3 hours, he’s there to the minute (he did this 7 times in a row once, to the minute).  If you wanted to write a textbook about a baby, you could come watch my son.  I’ve come to realize predictability is an amazing quality in a baby.
As of his last checkup he was 40th percentile for height and 30th for weight.
Interestingly, the biggest reaction I get when I tell people that he’s 30th for weight is “how much more is he supposed to weigh?  He looks fine to me!”.
I think this is another interesting misunderstanding of the height/weight charts.  Average is not necessarily the same thing as normal.  Normal can be a broad spectrum, average is just one number.  My baby is normal, thankyouverymuch.

After a few of those comments, I went and took a look at the growth charts.  In reality, the differences between the percentiles are quite small.  The difference between the 25th percentile and 50th percentile at 4 months is around 1 lb.  That’s about the same as the difference between the 50th and 75th as well….so half of all babies fall in the same 2 lb range (or at least half of all babies in the group they used 40 years ago to make the charts. That range doesn’t change much….it’s about +/- .6 kg up until a year.  The differences on the more extreme ends get bigger as the months go by….at birth the difference between the 5th percentile and the 50th is .6 kg and at a year it’s 1.6 kg.

All right, now that you’ve sat through all that metric system, here’s the baby picture I promised (and yes, he’s labeled in this picture….5 months old):

I told you he was cute.