This one goes in the Zombies category, for sure.
Statistical Modeling, Causal Inference, and Social Science 2019-08-20
Paul Alper writes:
I was in my local library and I came across this in Saturday’s WSJ:
The Math Behind Successful Relationships
Nearly 30 years ago, a mathematician and a psychologist teamed up to explore one of life’s enduring mysteries: What makes some marriages happy and some miserable?
The psychologist, John Gottman, wanted to craft a tool to help him better counsel troubled couples. The mathematician, James Murray, specialized in modeling biological processes. . . .
Hey, it’s the bullshit asymmetry principle!
Some background on this, from 2009 and from 2010:
Shooting down B.S. claims about divorce predictions, part 2 (Somewhere, Karl Popper is smiling ruefully)
Last year, we heard about “maths expert” and Oxford University prof who could predict divorces “with 94 per cent accuracy. . . His calculations were based on 15-minute conversations between couples.”
At the time, I expressed some skepticism because, amid all the news reports, I couldn’t find any description of exactly what they did. Also, as a statistician, I have some sense of the limitations of so-called “mathematical models” (or, worse, “computer models”).
Then today I ran across this article from Laurie Abraham shooting down this research in more details . . .