Thanks, unique_astrology and dubbhism, for your thoughtful posts.
On that now 82-page thread at Astrodienst on this topic, I argued mid-way through the discussion, that I don't think statistics are going to help us very much, but if others think they will, I will be interested to see the results of their studies. I'm not opposed to attempts to quantify astrological outcomes on principle, rather, I think that to do it correctly, astrologers (or whoever does the analysis) are going to have to start thinking in terms of specific definitions, outlining their assumptions, and explaining how they mitigate at least the most obvious potential biases.
This is how academics set up their research. If they don't, they get clobbered by their critics.
Then whose astrology would you use? I have a lot of admiration for astrologer David Cochrane, a really original thinker, but I don't think he'd get to square one with traditional astrologers, because his assumptions seem to be thoroughly modern. See, for example,
https://www.youtube.com/watch?v=3pOkwi63qOw
My course background in statistics was a long-ago and far away required course, but during my career I worked a lot around social scientists and scientists who used stats routinely. I read their papers and attended their conference and seminar presentations. My poor knowledge of stats was a work-around, and I did learn how to get my head around the introductions and conclusions of papers in a lot of different fields.
Let's take well-known actors as an example.
There are a lot of different multivariate statistical tests out there. Some of which don't require mythological assumptions. For example, the Astro-DataBank is full of the horoscopes of American film actors. It would be possible to select out the Rodden AA individuals, have all kinds of horoscope data bytes in digitized form by degree, and just see whether given "actor" signatures showed up significantly. Then you could compare them to a control group of the same size. (I. e., kind of a Gauquelin-type study for the 2010s.)
The problem that I see, having looked at the horoscopes of a lot of actors and other creative people, is that I'm not convinced that a horoscope discriminates between actor vs. non-actor. Rather, I think it shows the kind of actor someone will become once s/he's on that trajectory. But then I didn't get into minor aspects, fixed stars, asteroids, Arabian parts, and so on; in the way that a big data project could.
But if my surmise is correct, and a horoscope shows how someone will go about acting, painting, &c; rather than as a simple career choice, or perhaps a simple "fame factor," then we've got a real problem, if ithe problem in fact boils down to each artist's unique creativity.
The other problem is that succeeding in a field like acting depends on much besides raw acting talent. Getting discovered or getting the big break might depend upon a transit. Having good social connections in show business. Or conversely, a talented person living his life in West Overshoe, Iowa, so that all of that talent went into the high school play, or maybe becoming a gifted high school teacher, never to surface into the Rodden data base.
Maybe, just maybe, Big Data will show some blips and burps such that a given correlation is indeed statistically significant. But if it explains only at the level of 65%, then that still leaves 1/3 of the sample unaccounted for. Not helpful if an astrologer gets a read-my-chart question like, "Can I have a successful acting career?"
This starts to nudge us into more
qualitative research. Which is the current direction that a lot of social scientists are taking.
And then what is the role of the astrologer? The minute the talk turns to statistics, suddenly the astrologer becomes invisible.