Saturday, December 20, 2014

Is Porn Ruining Marriage?

So, is porn ruining marriage, and "economic society" to boot?

E.L. Brown thinks "no," and gives some reasons.  Her reasons are pretty convincing.

1  Reverse causation.  Unmarried men have more time,"need" for porn.
2. Selection.  The sort of people who hole up* in their mom's basement and watch porn all the time are not really likely to get married anyway.
3. Biased response.  Even anonymous surveys might be traced, so married men are more likely to lie.

There is, however, a more sinister explanation.  Women are insisting on being on their own.  Men are saying, "Okee dokie!"

UPDATE: On confirmation bias,  Patrick from Popehat sends this gem of a tweet-stream.  Nicely done.  As Simon and Garfunkel said, "We all hear what we want to hear, and disregard the rest."

All of which reminds me of (unsurprisingly) my article on "Truthiness."  If it's too good to be true, it's probably the lead story on CBS.  Or in the case of Prof. Van Susteren, FOX.

*Sorry.  I've probably destroyed marriage.

Year In Review

A "Year in Review" column, from my friend David Collum.

Piling up Risk Like Tetris

Odious debt.  He said "odious."

Thursday, December 18, 2014

The script for True Detectives season two seems *Amazing*

Documentary: Angus and Mungowitz in Grad School

Okay, it's metaphorical.  I was not actually on my back.  But I did keep deleting the data for our paper, even though we had a deadline.  So, pretty much the same thing.

There's even Michael Bolton on the stereo, which was pretty much my musical taste before I met Angus.

Lagniappe:  Apropos of nothing, a compilation of dogs getting baths.  Skippy Squirrelbane is the bane of squirrels, but baths are the bane of Skippy Squirrelbane.

Tuesday, December 16, 2014

Lasts Longer...

This is the sort of gem you come to KPC to see folks.  Data in the service of social science.  And that's why Mr. Overwater invented the internet.  (Data, I mean, not what follows here.  Mr. Overwater has standards, and I do not mean to besmirch him in any way...)

Overall, and as a general matter...the internet is for porn (NSFW, and juvenile, but still).

And since it is, that raises a question you didn't even know you didn't know the answer to (at least, I didn't know):  What is the average time spent a porn site?  An "interval of viewing," if you will?

Well, now you know.

Go, China! 

Monday, December 15, 2014

Decorate My Beard

Loren Lomasky decorates his beard this way.  If you've ever seen him after lunch, I mean.

But this is particularly appalling:


Some Awesome/Creepy/Unintentionally Funny Pol Ads

I have a student (I'll call her "Brigitte," because that's her name) who is working on the relative influence of TV vs Youtube as an effective medium for political campaigns.  An interesting topic, though a hard thing to measure accurately.

But the great thing (for the present) is all the truly strange and/or wonderful ads she has come across.
Here's a sampling:

Chuck Grassley's twitter

Beware the Insider-asuarus



Big Bad John

Economics for Five Year Olds

But then I can't resist adding my own effort, from 2008.

Jump in the Ocean  (notice the campaign sign.  That kind of production value is what really makes a video.  Okay, not.  Thanks to Barbara H for all that driving, and filming.)

Sunday, December 14, 2014

Costly Signals...

This young lady just figured a taxi would get her there.

And this guy figured...I'm not sure what he figured, but it worked.

Love:  It's all about costly signals. 


The Sound of Power: Conveying and Detecting Hierarchical Rank Through Voice 

Sei Jin Ko, Melody Sadler & Adam Galinsky
Psychological Science, forthcoming

Abstract: The current research examined the relationship between hierarchy and vocal acoustic cues. Using Brunswik’s lens model as a framework, we explored how hierarchical rank influences the acoustic properties of a speaker’s voice and how these hierarchy-based acoustic cues affect perceivers’ inferences of a speaker’s rank. By using objective measurements of speakers’ acoustic cues and controlling for baseline cue levels, we were able to precisely capture the relationship between acoustic cues and hierarchical rank, as well as the covariation among the cues. In Experiment 1, analyses controlling for speakers’ baseline cue levels found that the voices of individuals in the high-rank condition were higher in pitch and loudness variability but lower in pitch variability, compared with the voices of individuals in the low-rank condition. In Experiment 2, perceivers used higher pitch, greater loudness, and greater loudness variability to make accurate inferences of speakers’ hierarchical rank. These experiments demonstrate that acoustic cues are systematically used to reflect and detect hierarchy.

(Nod to Kevin Lewis)