There is nothing I love more than a clever phrase to describe a phenomena that bothers me. Last night I found such a phrase in a Jezebel article about gender differences in number of words spoken per day.
Weekend Moment of Zen 2-23-13
Friday Fun Links 2-22-13
Now that Valentine’s Day is over, I thought you might want to know how to break up with someone, data style.
Remember the Sims? Here’s what happens when they go wrong.
This is a little surreal looking, but these fMRIs of fetal brains are really interesting.
Going out to Utah reminded me that my first science crush was paleontology. Here’s a size comparison chart of people and dinosaurs. Expect more dinosaur mentions in the weeks to come.
Who do you believe, me or your brain?
A few years ago, right before the 2008 election, a friend of mine put the following up on Facebook:
Wednesday Brain Teaser 2-20-13
I am thinking of a number between 1 and 1300. It meets 3 criteria:
- It is a perfect cube.
- It is less than 500.
- It is a perfect square.
Include in your answer how much googling it took you.
Fox news: the channel you love to hate
At least according to this chart of people’s most and least trusted TV news sources:
Data, elections, and how to check your facts
I’ve been meaning to post something on David Brooks (Brooks’s? Brooks’?) column from a few weeks ago on the “Philosophy of Data”. A couple readers sent this to me (thanks all!) and I thought it was pretty interesting. He questions how the rise of big data is going to change things, and raises a few pertinent questions:
Over the next year, I’m hoping to get a better grip on some of the questions raised by the data revolution: In what situations should we rely on intuitive pattern recognition and in which situations should we ignore intuition and follow the data? What kinds of events are predictable using statistical analysis and what sorts of events are not?
I think those questions are relevant, and I was thinking about them when this cartoon popped up in my newsfeed on Facebook a few days ago:
- Figure out what problem you’re trying to solve
- Get a large relevant data set
- Analyze it until you get any numbers you can think of that might be helpful
- Find several rational people who are deeply embedded in the problem area
- Ask them what they think of the data, get the gut reaction
- Explain to them where you got the data, see if their reaction is the same
- Ask them if anyone they know would disagree with this data, and if so why
- Ask them if this helps them know how to proceed
- Ask them if there’s any other data that might be useful for this problem
- Go find that, repeat 5-9.
Interesting conference data of the week
So tonight’s the last night I’m at this conference (American Society for Bone Marrow Transplant if you’re curious), so I figured it would be an appropriate moment to share some interesting data issues that came up in the sessions I went to.
The most interesting one came from a group out of Johns Hopkins, in their talk about their combined inpatient/outpatient program. About 20 years ago now, they started to transition their transplant patients from one long inpatient stay to a shorter stay with a sort of intensive outpatient clinic follow up. This worked really well, cut costs, helped patients feel more autonomous, etc. What was interesting is that as they followed up on patients and how they did, they found that patients treated under this model did better on every single quality of life metric* except one: feelings about appearance.
Since there is no reason to believe they actually looked any different, the only conclusion they could reach is that the more “normal” people the cancer patients saw, the more acutely aware they were of how they looked. When they were in the hospital, they were surrounded by other patients, but on the outside they were exposed to more healthy people.
I thought that was an interesting example of how much quality of life measures can depend on what your environment is and who you’re being exposed to. We like to act like hapiness or contentment were definitive values that are totally internally generated, but they’re not. People compare themselves to others. We just can’t help it.
*The hard health measures (recovery, blood counts, etc) were the same with either method.
Friday Fun Link 2-15-13
Once upon a time my family went to a restaurant way up in Northern New Hampshire. My brother decided to get the “spaghetti and meatball” dinner. As he was looking at the menu before ordering, he remarked that it was interesting that they seemed to have forgotten the “s”. The meal came. There was no typo. There was just one solitary small meatball atop an ocean of spaghetti. The end.
It’s not a great story, but it’s the kind of thing that a 9 year old and a 7 year old found endlessly hilarious.
Of course that’s just me saying that I didn’t forget the “s” on link up in the title. I’m having a hell of a time trying to cut and paste links with my iPad, and that all I have here. Anyway, this is another Valentine’s Day one, but it was good enough to put the effort in. Amazon.com did 50 Great American Love Stories…one for each state.
I knew that Massachusetts would be “Love Story” and it was. Honestly I think they used “love stories” a little loosely, because I’ve read “The Virgin Suicides” and that was damn depressing (and don’t even get me started on Grapes of Wrath). I haven’t read too many of these….Florida (Their Eyes Were Watching God), Georgia (Gone With the Wind), Nebraska (My Antonia), Ohio (Beloved), Oklahoma (Grapes of Wrath), South Dakota (These Happy Golden Years), and Wisconsin (Blankets).
So that’s seven…and for someone as New England-centric as I am, they’re certainly all over the place. My favorite is certainly Their Eyes Were Watching God, and my least was Grapes of Wrath. I wish I had known earlier you could skip every other chapter. Sigh.
Valentine’s Day
I was going to post this last night, but it turns out procuring a cocktail in Salt Lake City actually requires a bit more time and effort than one might suspect. On the plus side, they have a lovely choir here.



